EPA-660/2-74-075 DECEMBER 1974 Environmental Protection Technology Seri Wastewater Characterization for the Specialty Food Industry National Environmental Research Center Office of Research and Development U.S. Environmental Protection Agency Corvallis. Oregon 97330 ------- RESEARCH REPORTING SERIES Research reports of the Office of Research and Development, U.S. Environmental Protection Agency, have been grouped into five series. These five broad categories were established to facilitate further development and application of environmental technology. Elimination of traditional grouping was consciously planned to foster technology transfer and a maximum interface in related fields. The five series are: 1. Environmental Health Effects Research 2. Environmental Protection Technology 3. Ecological Research 4. Environmental Monitoring 5. Socioeconomic Environmental Studies This report has been assigned to the ENVIRONMENTAL PROTECTION TECHNOLOGY STUDIES series. This series describes research performed to develop and demonstrate instrumentation, equipment and methodology to repair or prevent environmental degradation from point and non-point sources of pollution. This work provides the new or improved technology required for the control and treatment of pollution sources to meet environmental quality standards. This report has been reviewed by the Office of Research and Development, EPA, and approved for publication. Approval does not signify that the contents necessarily reflect the views and policies of the Environmental Protection Agency, nor does mention of trade names or commercial products constitute endorsement or recommendation for use. ------- EPA-660/2-74-075 December 1974 WASTEWATER CHARACTERIZATION FOR THE SPECIALTY FOOD INDUSTRY Curtis J. Schmidt John Farquhar Ernest V. Clements, III Grant No. R-801684 Program Element 1BB037 ROAP/TASK No. 21 BAB/028 Project Officer i Harold W. Thompson Pacific Northwest Environmental Research Laboratory National Environmental Research Center Corvallis, Oregon 97330 NATIONAL ENVIRONMENTAL RESEARCH CENTER OFFICE OF RESEARCH & DEVELOPMENT U.S. ENVIRONMENTAL PROTECTION AGENCY CORVALLIS, OREGON 97330 For sale by the Superintendent of Documents, U.S Government Printing Office Washington. B.C. 20402 - Stock No. S90U00990 ------- ABSTRACT The specialty food industry generally falls within SIC Codes 2032, 2035 and 2037 and includes approximately 2,300 plants in the United States which produce a wide variety of food products. For waste categorization purposes the specialty food industry was divided into ten categories on the basis of ingredients used, type of product, and liquid waste generation. Twenty-six nationally distributed spe- cialty food plants were investigated and 24 of these field sampled for ten days each to determine raw wastewater char- acteristics and volume. Related production and processing information was used to calculate the wastewater generation per 1,000 kilograms of production in terms of: 5 day Biochemical Oxygen Demand, Chemical Oxygen Demand, Suspended Solids, Volatile Sus- pended Solids, Total Phosphorus, Total Kjeldahl Nitrogen, and Grease and Oil. From one to six plants were covered in each specialty food category. The categories showed wide variations in waste generation between each other, and in some cases between plants within a category. The results will be helpful to all specialty food plants in gauging their waste generation against other plants in their category. In addition, the data will assist prediction of waste loads from new plants and will aid regulatory agencies in establishing wastewater discharge standards. This report was submitted in fulfillment of Grant No. R-801684, by SCS Engineers, under sponsorship of the Envi- ronmental Protection Agency and the American Frozen Food Institute. Work was completed as of September 1973. ii ------- CONTENTS Section page I Conclusions 1 II Recommendations 3 III Introduction 5 IV Sampling and Analytical Program 9 V Categorization and Wastewater Characteristics 15 Prepared Dinners 16 Frozen Bakery Products 19 Dressings, Sauces and Spreads 20 Meat Specialties 21 Canned Soups and Baby Foods 23 Tomato-Cheese-Starch Combinations 24 Sauced Vegetables 26 Sweet Syrups, Jams and Jellies 28 Chinese and Mexican Foods 29 Breaded Frozen Products 30 VI Raw Waste Loads, Current.Treatment Technology, and Plant Distribution 32 Standard Raw Waste Loads 32 Current Treatment Technology 39 Plant Distribution 41 VII Appendices Appendix A 47 Appendix B 132 iii ------- TABLES No. Page 1 Average Pollutant Concentrations, Weights Per Unit Production, and Wastewater Generation by Category 8 2 Category 1, Average Pollutants Contained in Wastewater Per Unit Production 18 3 Category 1, Average Wastewater Characteristics 18 4 Category 2, Average Pollutants Contained in Wastewater Per Unit Production 19 5 Category 2, Average Wastewater Characteristics 20 6 Category 3, Average Pollutants Contained in Wastewater Per Unit Production 20 7 Category 3, Average Wastewater Characteristics 21 8 Category 4, Average Pollutants Contained in Wastewater Per Unit Production 22 9 Category 4, Average Wastewater Characteristics 23 10 Category 5, Average Pollutants Contained in Wastewater Per Unit Production 23 11 Category 5, Average Wastewater Characteristics 24 12 Category 6, Average Pollutants Contained in Wastewater Per Unit Production 25 13 Category 6, Average Wastewater Characteristics 26 14 Category 7, Average Pollutants Contained in Wastewater Per Unit Production 27 15 Category 7, Average Wastewater Characteristics 28 16 Category 8, Average Pollutants Contained in Wastewater Per Unit Production 2'9 17 Category 8, Average Wastewater Characteristics 29 18 Category 9, Average Pollutants Contained in Wastewater Per Unit Production 30 IV ------- TABLES (Continued) No. Page 19 Category 9, Average Wastewater Characteristics 30 20 Category 10, Average Pollutants Contained in Wastewater Per Unit Production 31 21 Category 10, Average Wastewater Characteristics 31 22 Average Pollutants Contained in Wastewater 33 Per Unit of Production, By Category 23 Average Wastewater Characteristics By Category 37 24 Specialty Food Plant Wastewater Treatment Operations 40 25 Distribution of Specialty Food Plants By Category and State 42 v ------- ACKNOWLEDGEMENTS Project Officer: Harold Thompson, Environmental Protection Agency, Pacific Northwest Water Laboratory, Corvallis, Oregon. Project Director: John Farquhar, American Frozen Food In- stitute, Washington, D. C. Project Manager: Curtis Schmidt, SCS Engineers, Long Beach, California and Reston, Virginia. Laboratory Director: Walter Rose, National Canners Asso- ciation, Berkeley, California. Field Engineers: Ernest V. Clements III and Gary Mitchell, SCS Engineers. We are especially grateful to the 26 specialty food plants which participated in this project. Each volunteered sub- stantial personnel time during the field studies without any compensation. We sincerely hope this report about waste generation from the specialty food industry justifies their unselfish contributions. VI ------- SECTION I CONCLUSIONS The canned and frozen specialty food industry includes approximately 2,300 individual plants in the United States. The greatest numbers are concentrated near the large population centers, however, many of larger indi- vidual plants are located in rural areas. Categorization of the specialty food industry is extreme- ly difficult because of the wide spectrum of different products produced and the many other differences between individual plants such as size, percent of maximum pro- duction capacity utilized, etc. A preliminary division into ten categories is suggested by this study, largely on the basis of type of product. Raw liquid waste loads generated by individual plants within the specialty food industry vary greatly but in general were found to be higher than was anticipated by the investigating team. Average five day Biochemical Oxygen Demand (BOD) generation ranged from 5 to 25 kilo- grams per 1,000 kilograms (kg/kkg) (10 to 50 Ibs/ton) of production, Suspended Solids (SS) generation from 1 to 26 kg/kkg (2 to 52 Ibs/ton) of production, and there were similarly wide ranges for other waste constituents. Average wastewater strengths in terms of BOD ranged from 300 to 3,200 milagrams per liter (mg/1), and in terms of SS from 200 to 3,700 mg/1. Generally Chemical Oxygen Demand (COD) values averaged about 200 percent of the BOD values. Grease and oil concentrations ranged from zero upward to a high of 2,000 mg/1. The wide differences (more than 10:1) in raw waste strength between categories of the specialty food indus- try are due to the following major factors: Richness of product ingredients. Number and type of unit processes utilized during production. ------- Number of different products and frequency of changes in product. Extent of ingredient preprocessing which has occurred elsewhere. Moisture content of ingredients and final product. Management desire to reduce waste generation. Other factors, including plant size, number of shifts, percentage of maximum production capacity in use, cost of water supply and waste disposal, and economic ability of the plant to modernize equipment. Of the 26 specialty food plants investigated, 21 discharge into municipal systems. The characteristics of the raw wastes and the reported performance of existing treatment facilities indicate that specialty food industry wastes are satisfactory for combined treatment in municipal treatment plants. Pretreatment prior to municipal dis- charge ranged from no treatment up to activated sludge. Complete treatment prior to direct discharge was prac- ticed at five plants and was reported to achieve high levels of pollution reduction. Treatment costs, where reported, were also high due to the high raw waste strengths. ------- SECTION II RE COMMEN DATION S 1. The results of this study should be given wide dissemi- nation in the specialty food industry with the objec- tives of: (a) Obtaining opinions from knowledgeable individuals as to the validity of the industry characterization suggested by this study. (b) Obtaining additional effluent characterization data applicable to the various industry categories. The American Frozen Food Institute (AFFI) could serve as clearing house for (a) and (b). (c) Causing individual plants to compare their waste generation with similar plants described in this study. Those plants which feel their waste gener- ation is excessive should look to in-plant programs to reduce waste discharged to the sewer. 2. In order to achieve wide dissemination, it is suggested that the following be considered: (a) Printing of the report by the government printing office as soon as possible, with concurrent notifi- cation by AFFI and National Canners Association (NCA) to their membership that the report is avail- able through the National Technical Information Service or Government Printing Office. (b) Printing of the report by AFFI and/or NCA for dis- tribution. (c) The scheduling of well-publicized technology trans- fer seminars in several locations. The seminars would use this report and other manuals as a basis for assisting industry personnel in assessing and reducing wastewater discharges. It is apparent that plants which undertake a comprehensive program ------- of in-plant education and process modification are able to achieve remarkable reductions in liquid waste generation. In preparation for industry-wide effluent guidelines which will probably be promulgated by the United States Environmental Protection Agency (EPA) in late 1974, the industry should immediately begin expanding upon the data base developed in this "broad brush" report. In order to develop realistic and equitable guidelines more reliable data is required to describe the industry, characterize its wastes, evaluate various treatment methods, and provide confirmable economic data showing the economic'impact of increasing degrees of pollution control upon various plants in the industry. A series of case studies is suggested as the best method to ac- complish this recommendation. Initial case studies should be made at specialty food plants which are presently achieving exemplary results in reducing in- plant pollution generation and/or end-of-the-pipe waste- water treatment. The methods used and costs incurred by these exemplary plants (three plants investigated for this study report Biochemical Oxygen Demand (BOD) re- duction in the 90 percent range) should be accurately determined. Following-these initial case studies, a second series of case studies should be made with the objective of determining the technical feasibility and economic impact of applying similar pollution reduction requirements upon other typical plants in the industry. Emphasis should be upon plants of various size produc- tion capacity, the availability of land for treatment and disposal, and the economic resources of the plant. ------- SECTION III INTRODUCTION Specialty foods, as used in this project, includes frozen and canned items containing several major ingredients. In- cluded are such varied products as frozen dinners, frozen and canned pre-cooked fish, beef, and poultry dishes, frozen and canned stews and soups, frozen or canned ethnic/nation- ality foods, frozen vegetables in sauce, frozen bakery products and other prepared and/or pre-cooked foods. Specialty food firms generally fall within SIC Codes 2032, 2035 and 2037. The magnitude of this segment of the food industry is made obvious by a stroll through any supermarket: more shelf and freezer space is taken by specialty foods than by ordi- nary canned and frozen fruit and vegetable items. Exact production data on a national scale is lacking. However, combined statistical sources estimate that specialty foods production exceeds other types of food production. Section VI of this report contains a tabulation of specialty food plant distribution by type and state. A total of 2,321 specialty food plants are shown, with the largest number in the states of California, New York, Illinois and Pennsyl- vania. Meat specialties has the largest number of individ- ual plants among the categories. During the second half of 1973 AFFI conducted a study to characterize wastewater generation by the specialty food industry. AFFI was aided by NCA, which performed all labor- atory analyses, and SCS Engineers, which performed all field work and prepared the final report. Financial assistance was provided by EPA under Grant No. R-801684. The major objectives of the project were to: Inventory and categorize the specialty foods industry. ------- Investigate typical raw waste loads generated by major categories of the specialty foods industry. This information is needed by AFFI, NCA and EPA to increase their background knowledge in answering questions concerning waste generated by the specialty food industry and to regu- late industry waste generation in an equitable manner. Categorization proved difficult because of product diversity, but the industry was eventually divided into ten categories on the basis of ingredients used, type of product, and liquid waste generation. The final ten categories are: 1. prepared dinners 2. frozen bakery products 3. dressings, sauces and spreads 4. meat specialties 5. canned soups and baby foods 6. tomato-cheese-starch combinations (Italian specialties) 7. sauced vegetables 8. sweet syrups, jams and jellies 9. Chinese and Mexican foods 10. breaded frozen products Section V describes in detail the categories and the ration- ale for their selection. To achieve the second project objective, i.e., preliminary characterization of raw wastewater loads generated by plants within each category, an effluent sampling program was initiated. Data was obtained from field investigations of 24 specialty food plants and historical study of 2 others, located throughout the United States. Field investigation generally consisted of daily time-interval composite sam- pling of raw wastewater for 10 consecutive operating days supplemented by the gathering of related wastewater volume, plant production, and basic processing information. Indi- vidual case studies of these plants are found in Appendix A and provide wastewater concentrations, volumes generated, ------- productivity factors, products, ingredients and wastewater generating operations. Simplified process flow diagrams accompany the studies where obtained. Field determination was made of pH, temperature, volume (existing records and metering devices) and any unusual visual characteristics of the waste. Laboratory analysis included chemical oxygen demand (COD),5-day biochemical oxy- gen demand (BOD), suspended solids (SS), volatile suspended solids (VSS), total kjeldahl nitrogen (TKN) as mg/1 N, total phosphorus (TP), and oil and grease. Results of the wastewater characterization effort are pre- sented and analyzed in Section V. Table 1 on the following page, provides a summary of BOD and SS concentrations and weight per'unit of production, as well as average wastewater generation figures for all the categories. Final treatment or pre-treatment of the wastes from the specialty food industry was not within the scope of this pro- ject, per se. The field team did, however, note treatment practices at the individual plants investigated. Their ob- servations are described in Section VI. The majority of plants utilized gravity settling and flotation prior to dis- charge to a municipal sewer. Several of the large plants, however, maintain extensive biological or physical-chemical facilities including one or more combinations of the fol- lowing processes: aerobic and anaerobic lagoons, activated sludge, trickling filters, coagulation/floculation, aera- tion, and land disposal. This study is the initial attempt to characterize the wastes generated by a major segment of the nations food processing industry. The results will be helpful to all specialty food plants in gauging their waste generation against other plants in their category. In addition, the data presented will assist prediction of waste loads from future new plants and will aid regulating agencies in establishing wastewater discharge standards. Finally, this initial venture points the way for future work in several areas of importance as described in the recommendation's section of the report. ------- 00 Table 1. AVERAGE POLLUTANT CONCENTRATIONS, WEIGHTS PER UNIT PRODUCTION,(D AND WASTEWATER GENERATION BY CATEGORY Category BOD Ave. cone. (mg/1) Wt. per unit production (kg/kkg) SS Ave. cone. (mg/1) Wt. per unit production (kg/kkg) Wastewater volume per unit production (1/kkg) 1 2 3 4 5 6 7 8 9 10 1,900 3,200 2,600 820 560 370 310 2,400 570 2,400 17 23 7.5 9.5 12 7.2 25 5.1 6.9 26 1,500 2,200 1,200 460 320 220 250 400 200 3,700 14 14 3. 6. 7. 6. 21 1. 2. 26 5 1 6 0 0 8 12,000 11,000 2,800 10,000 22,000 29,000 85,000 2,400 14,000 48,000 (1) See next page for explanation of production weights. ------- (1) In this study the investigators were faced with some category situations where production data was available only in terms of finished product and in other cases where production data was available in terms of raw product. Waste loads for the following categories are stated in terms of finished production tons: 1, 2, 3, 4, 71 8, and 9; and waste loads for categories 5 and 10 are stated in terms of raw product tons. In the case of category 6, plant R is stated in terms of raw product tons and plants 0, P, and Q in terms of finished product tons. Since the majority of specialty food plants are largely reprocessors of food pre-processed elsewhere there often is little difference between raw product tonnage and finished product tonnage. Below, an estimate is pro- vided of the percentage of finished product weight to raw product weight by category: Finished Product wt Category raw product wt x 100 Comment 1 2 3 4 5 6 (frozen) 6 (canned) 7 8 9 95 100 100 90-100 70-110 100 130 40-90 100-150 80-100 wtr added wtr added wtr added fat trim variable product much wtr added variable product wtr added dependent on vege- tables processed 10 100 8a ------- SECTION IV SAMPLING AND ANALYTICAL PROGRAM This section of the report describes the approach used in selecting specialty food plants to be investigated, per- forming the field investigation programs, and categorizing the industry according to the results received. PLANT SELECTION A preliminary assessment of the types, number and locations of specialty food plants was prepared, and a tentative determination made of representative plants in the west, midwest, and east which appeared to be desirable candidates for field investigation. Each candidate plant was contacted by phone and letter, given a description of the project, and requested to indicate a preliminary assurance of cooperation. A series of meetings were arranged by AFFI in San Francisco, Chicago, and Washington, D.C. at which the project technical team met with company representatives to work out details of individual plant investigations. Every attempt was made to insure that the participating industry plants were cognizant of their responsibilities to the project. The final selec- tion of participating plants was made to provide diversity in type of product and geographical area. The plants were located as follows: East - 6 plants Midwest - 9 plants West - 11 plants FIELD INVESTIGATION During the field investigations, the procedure followed at each plant was generally similar. Once plants in the same geographic region had agreed to participate, the project technical director visited each plant to review the plant layout; determine a proper location for installation of a composite sampler; initially educate plant personnel in ------- their responsibilities to extract and store samples; advise the necessity for obtaining concurrent information on pro- duction and waste volume; observe waste treatment facilities, and agree upon a date to begin waste sampling. On the agreed date, the field engineer arrived at the plant. He carried -with him all the equipment necessary for the sampling program. Equipment used throughout the study is listed below: Three N-Con "Surveyor" samplers, each with intake and exhaust hoses,0.64 cm opening intake basket screen, 9.5 liter sample collection container, and a 30 m. extension cord. One Brailsford "EV-1" sampler with accessories. One Brailsford "DU-2" sampler with accessories. Six Coleman insulated coolers - made of heavy plastic with locking lid. 120 0.95 liter plastic sample bottles with twist-on lids. 180 1.9 liter sample bottles with twist-on lids. 300 printed information tags with wire for fastening to sample bottles. One portable Beckman automatic pH meter. Two thermometers for water temperature measurements. » 70 heavy cardboard boxes with styrofoam lining for sample shipping. 91 kg. of dry ice purchased from ice houses or donated by food plants for sample preservation during shipping. At each plant, the field engineer installed the automatic sampling unit at a site pre-selected by the project director and plant staff. The sampling sites were located to obtain representative samples of screened raw waste prior to pre- treatment units. Areas of turbulence were chosen to insure mixing and suspension of solids. Once the engineer had in- stalled the sampler, he instructed the plant personnel in proper sampler operation and sample handling. In most cases tliis involved merely turning the unit on and off at the beginning and end of shifts, filling a sample bottle from 10 ------- the large 9.5 liter sample collection container, after swirling the latter to achieve a homogeneous wastewater solution, and placing the sample in the Coleman cooler in the plant freezer. The engineer also advised plant managers as to what supplemental data would be needed on production tonnages and wastewater volumes and urged them to compile this information during the sampling period. During the sampling period, the investigator returned to the plant every 3 or 4 days to insure proper operation and to pick up frozen samples. These samples were packed in dry ice in the styrofoam lined boxes and transported by the quickest means to the NCA Laboratory in Berkeley, California. Most of the samples were shipped air freight to San Francis- co for pickup by the laboratory. Samples collected from plants in northern California were delivered by car to the laboratory the same day. At the end of the sampling period, the engineer picked up the last of the frozen samples, shipped them to the lab, and acquired whatever volume and production data was available at that time. Sampling frequency, type, and procedures were somewhat dependent upon circumstances found at each plant. Approxi- mately ten "end of pipe" time interval composite samples for ten consecutive operating days were collected at each plant. These samples were generally 24 hour composites, but excep- tions were made due to plant operation or collection time requirements. If distinct "processing" and "clean-up" shifts existed, samples of each shift were taken along with related wastewater volume data. At two of the plants (S and T), additional grab samples were taken of major waste streams (i.e., sauce room clean-up). Some food plants in- vestigated had their own permanent automatic sampler. In these situations, the field engineer supplied the sample bottles, and storage cooler. Plant personnel took their routine composite samples and divided the sample for use by this study, and for their own analysis work. ANALYSIS When shipments of samples arrived at the NCA lab, they were kept frozen until lab analysis was to begin. Samples were analyzed for the following constituents using the standard procedures listed below: Test Procedure COD Standard methods (13th edition) 11 ------- Test Procedure BOD Standard methods: 5-day, 20°C, cylinder dilution procedure. SS Standard methods using glass fiber filter paper. VSS Standard methods. Total P From Methods for Chemical Analysis of Waste and Water, EPA, 1971, 16020 07/J1. TKN Standard methods. Grease and oil From Methods for Chemical Analysis of Waste and Water, EPA, 1971, 16020 07/71. Two of the 26 plants studied (E, P) were not sampled, but provided comprehensive historical information on wastewater concentrations, volumes, and production weights. Productiv- ity factors were calculated from this data just as it was for the other plants. Appendix B provides a detailed ex- planation of the methods of productivity factor calculation used for each of the 26 plants. The field work was accomplished successfully, considering the number and distribution of the plants involved, but not without problems. The most difficult task was the sched- uling of sampling periods at a group of plants in the same geographical area while all those plants were in representa- tive production. The project team had optimistically antic- ipated being able to sample five plants in an area (200 mile radius) concurrently and then moving on to the next area. Practically this proved impossible to coordinate, and gen- erally only two or three plants were being sampled concur- rently. This caused an overrun of project schedule and substantially more travel expense than anticipated. Another problem encountered was the inherent inability of the Brailsford samplers to take representative samples with respect to suspended solids. These units utilize a small suction pump which slowly draws a small volume of sample up a.64 cm.intake tube into the container. It seems probable that the suspended solids content of the sample is lower than actual because solids tend to settle by gravity down the intake tube during the off periods in the pumping cycle. The Brailsford samplers should be used only on wastewaters with low solids concentrations, which is usually not the 12 ------- case at food plants. No problems were experienced with the N-Con sampler. This unit provides representative samples because it uses a more powerful pump to draw large sample volumes through the 1.3 cm. intake hose and pump impeller before diverting a small part of the flow into the sample container. Another hindrance to efficient data analysis was the long delay in getting production and/or wastewater volume data from some of the plants. Proper authorization must often come from company headquarters and once sampling has ended, it is often difficult to obtain the information needed through follow-up phone calls and letters. These delays can be minimized by early explanation to plant personnel as to what data is needed, and by constant reminders when the field engineer makes his stops to pick up samples. APPROACH TO CATEGORIZATION Categorization of the specialty foods industry is made com- plex by the great number of plants and wide diversity of products. In addition, many plants make several products and it is virtually impossible to relate wastewater charac- teristics back to a certain product because a variety of products are processed simultaneously, and the mix is often continually changing. Another hindrance to categorization is the fact that although two plants may produce virtually the same final products, one may employ more intensive raw material processing than the other, and thus their waste- water properties could vary significantly. Moisture content of products can vary between product styles, affecting productivity factors based on final product weight. Other factors which may have a significant effect upon wastewater generation from a particular plant include, plant size, number of shifts, percentage of production capacity in use, cost of water supply and wastewater disposal, degree to which ingredients have been pre-processed eIsewhere/manage- ments desire to reduce waste generation, and economic abil- ity of the plant to modernize equipment. Each of the factors described above may have an important effect upon waste generation from a particular plant. This study obtained data from an average of less than three plants per category. Considering the many uncontrollable variables involved and the limited number of plants investi- gated, the category selections and wastewater characteris- tics presented in this report should be considered as preliminary. 13 ------- In order to obtain the most equitable categorization, within the bounds of the scope of work, we have based our decisions for plant groupings on three basic factors: Primarily: Type of product. Secondarily: a) Type and degree of raw material processing, b) wastewater productivity factors (kg pollutant/kkg product)- The advantages of this approach to industrial categorization are as follows: Simplicity and ease of initial categorization - rough grouping by "type of final product" is a com- paratively simple task and provides a point of departure for more detailed analysis. After "prod- uct" grouping, processing differences or wastewater characteristics can be reviewed to further substan- tiate categorial selections or to reclassify the plants that appear misplaced. Provides easy comparison to other plants - grouping by product allows members of the specialty food industry to compare their overall plant wastewater characteristics to similar plants preparing the same products. Good probability of similarity in other parameters - plants initially grouped by product type frequently show good correlation in overall wastewater proper- ties (concentrations, volume per unit product, etc.) if similar raw ingredient processing operations are performed. Final category selections are described in the following section. 14 ------- SECTION V CATEGORIZATION AND WASTEWATER CHARACTERISTICS As previously described in Section IV, field investigations of liquid waste characteristics were performed at 24 specialty food plants, and historical data acquired at an additional two plants. Individual case studies of these plants are found in Appendix A and provide details of waste- water volumes, pollutant concentrations, products, and in- gredients. Simplified process flow diagrams, when obtained, accompany the case studies. The plants are designated by letter (A, B, etc.) and located only by very broad geo- graphical area (West, Mid-West, East). This was done to protect the confidentiality of the information provided. In this chapter, wastewater characteristics are detailed and discussed specifically for each category. Comparisons are drawn where significant and discussions of individual plants provide explanation of typical results. In full recognition of the difficulties involved in cate- gorizing a complex industry of over 2,000 plants, the fol- lowing ten categories were established for the purpose of this investigation. Category 1 Category 2 Category 3 Category 4 Category 5 Category 6 Category 7 Category 8 - Prepared Dinners - Frozen Bakery Products - Dressings, Sauces and Spreads - Meat Specialties - Canned Soups and Baby Foods - Tomato-Cheese-Starch Combinations - Sauced Vegetables - Sweet Syrups, jams and Jellies 15 ------- Category 9 - Chinese and Mexican Foods Category 10 - Breaded Frozen Products PREPARED DINNERS (Category 1) Plant letter codes included in this category are A, B, C, D, E, and F. The major products of this category are frozen prepared dinners and pot pies including meat, poultry or fish, vegetable, and starch (potato, rice, noodles). Plant A produces significant frozen bakery products and Plant E significant vegetable dishes in addition to prepared din- ners. The plants in this category do very little processing of raw materials. The meat portions have been slaughtered and dressed elsewhere, and the vegetables have also generally been pre-processed elsewhere and shipped frozen in bulk. The ingredients are usually cut into meal size portions, cooked, assembled and frozen. Figure 1 on the following page illustrates in a simplified flow diagram the "assembly plant" nature of plants in this category. The primary wastewater generating activity is plant clean- up, which is generally concentrated during a late night or early morning "clean-up" shift. However, cleaning of equip- ment is carried out continuously as the product mix changes or spills occur. Other wastewater sources may include, vegetable rinsing and blanching operations, frying, cooking, and cooling water. This category was the most thoroughly covered of the ten categories with six plants investigated. The plants are usually very large, and are often located in small towns or in rural areas where their wastes may constitute a signifi- cant potential treatment problem. Tables 2 and 3 show the waste generation and waste strength of the effluents from plants in this category. BOD genera- tion ranges from 9 to 34 kilograms per 1,000 kilograms (kg/kkg) or 18 to 68 Ibs/ton of production. Waste strength varies from 600 to 4,000 milligrams per liter (mg/1) of BOD. We believe that the highest levels represent plants which (1) produce a higher proportion of rich foods and/or (2) have not instituted a rigid in-plant program to avoid excessive disposal of food materials into the sewer. Plant E, for example, claims to have greatly reduced its waste generation through, a comprehensive program of personnel edu- cation and in-plant modifications. 16 ------- PREPARATION ASSEMBLY FOWL CUTTING TURKEY (processed elsewhereLjCOOKING and frozen) COOKING CHICKEN (processed elsewhere 4 CUT and frozen) BONING BONING COOKING' BONING FLOURED J *} SLICING [" | - | SLICING FRYING NOTE HEAVY ARROW DESIGNATES MAJOR LIQUID WASTE GENERATION MEAT MEATLOAF VEAL (patties prepared elsewhere) BEEF (prepared elsewhere and rolled) -{ BROILINGJ- -| SLICED |- (meat juice from f ] cooking ) VEGETABLES MIXhU J " ^COME (processea eisewnere j DPFAKUrl nnri frnzanl j CLUuTCn BREAKUP | POTATOES MEXICAN 4r i ITOME (FREE DRIED BEANS -[WASHING]- |COOKING | j MASHING j CORN (aenusKea cecoroea i COQK NQ _^_GR|NOir elsewhere) ^UUMNVJ «- oniivuir prep RITF . . - I onon'iMc ! j PLANT ._, CUTTIWR . , ,. INED) JINEIP) ZINGJ PACKAGED) JR . iNTn > ^rniuiRiMiMrA Jprmi/iMp. ^ orod rhf P-5P I SAUCING 1 - - CLEAN- UP J | FIGURE 1 , ^yZlXCOMBINED) t (^ FROZEN^) 1- PREPARED DINNER PLANT SIMPLIFIED PROCESS FLOW DIAGRAM 17 ------- Table 2. CATEGORY 1, AVERAGE POLLUTANTS CONTAINED IN WASTEWATER PER UNIT PRODUCTION Plant code Constituent (kg/kkg finished COD A 69 B 42 C 28 D 27 E 20 F 17 Average 34 Range 17- 69 BOD 35 18 13 15 11 8.8 17 9- 34 SS 34 11 11 14 6.6 6.2 14 6- 34 VSS 33 11 11 14 6.0 6.2 14 6- 33 Total P 0.25 0.18 0.24 0.16 - 0.12 0.19 .12- .25 TKN 0.44 0.25 0.61 0.55 - 0.37 0.44 .25- .61 product) Grease and oil 44 21 - 2.9 3.8 4.8 15 2.9- 44 Volume (1/kkg) 8,700 6,200 22,000 21,000 9,400 4,400 12,000 4,400- 22,000 Table 3. CATEGORY 1, AVERAGE WAS TEWATE R CHARACTE RISTICS Plant code Concentration COD A 7,900 B 6,800 C 1,300 D 1,300 E 2,100 F 3,800 Average 3,900 Range 1,300- 7,900 BOD 4,000 2,900 620 720 1,240 2,000 1,900 620- 4,000 SS 3,900 1,800 530 680 700 1,400 1,500 530- 3,900 VSS 3,800 1,700 510 650 640 1,400 1,500 510- 3,800 (mg/1) Total P 29 30 11 7.6 - 28 21 7.6- 30 TKN 51 34 28 26 - 85 45 26- 85 Grease and oil 5,100 3,400 - 140 400 1,100 2,000 140- 5,100 18 ------- FROZEN BAKERY PRODUCTS (Category 2) Plant letter codes included in this category are G and H. The major products of this category are frozen bakery des- sert products such as cakes, pies, brownies, cookies, rolls, and other desserts. The plants are very large scale kitchens which purchase the ingredients such as butter, flcur, shortening, eggs, sugar, flavoring, fruit filling, etc., in much the same way as the housewife would were she making the baked goods from scratch. Plants G and H are both major producers of these products with national distribution. Tables 4 and 5 summarize the waste generation and waste strength of the effluents from the two bakery products plants. Waste strength is very high with BOD in the range of 2,100 to 4,300 mg/1. Unfortunately, Plant H would not provide production information, making it impossible to de- termine the average pollutants per unit of production for this plant. Table 4. CATEGORY 2, AVERAGE POLLUTANTS CONTAINED IN WASTEWATER PER UNIT PRODUCTION Plant code Constituent (kg/kkg finished product) COD BOD SS VSS Total P TK\ Grease and oil Volume (1/kkg) G 52 23 14 14 0.082 0.30 11 11,000 H No Production Information Provided Waste is generated from clean-up of spills and equipment and from the disposal of substandard ingredients and prod- ucts. The major ingredients are very rich and high in BOD, suspended solids, and grease. Variations in frequency of product mix changes and house cleaning practices help to account for differences in effluent concentrations. 19 ------- Table 5. CATEGORY 2, AVERAGE WASTEWATER CHARACTERISTICS Plant code Concentration (mg/1) COD BOD SS VSS Total P TKN Grease and oil G 4,600 2,100 1,300 1,200 7.8 27 940 H 9,300 4,300 3,100 3,000 5.7 45 690 Average 7,000 3,200 2,200 2,100 6.8 36 820 DRESSING, SAUCES AND SPREADS (Category 3) Plant codes I and J are included in this category. Major products are salad dressings, mayonnaise, mustard and barbe- cue sauces. Typical ingredients include tomato paste, vege- table oil, spices, eggs, vinegar, mustard, and small quanti- ties of dairy products. Generally, the ingredients are blended, bottled, cooked, and cooled. Clean-up of the blending and cooking vats contributes most of the waste load. The two plants sampled were a very small batch type plant (J) and one of the nation's largest plants (I). As seen from Tables 6 and 7 correlation was surprisingly good be- tween the plants. Both exhibited very strong wastes with average BOD of 2,600 mg/1, however, waste generation in terms of production averaged a low 7.5 kg/kkg (15 Ib/ton) of product. Wastewater volume averaged only 2,800 1/kkg (670 gal/ton) of product. Table 6. CATEGORY 3, AVERAGE POLLUTANTS CONTAINED IN WASTEWATER PER UNIT PRODUCTION Plant code Constituent (kg/kkg finished product) COD BOD I 12 5.6 J 14 9.4 SS 2.6 4.4 VSS 2.4 4.4 Total P 0.039 0.018 TKN 0.036 0.038 Grease and oil 3.1 8.3 Volume dAkg) 2,600 3,100 Average 13 7.5 3.5 3.4 0.028 0.037 5.7 2,800 20 ------- Table 7. CATEGORY 3, AVERAGE WASTEWATER CHARACTERISTICS Plant code Concentration (mg/1) COD BOD SS VSS Total P TKN Grease and oil I 4,900 2,300 1,000 960 16 15 1,300 J 4,500 3,000 1,400 1,400 5.8 12 2,700 Average 4,700 2,600 1,200 1,200 11 14 2,000 The overall low productivity factors for this category are due to the fact that equipment clean-up is the primary wastewater producing activity, and relatively small volumes of water are used. One misleading factor in the low prod- uctivity and wastewater generation factors is that water is a major weight component in the final product and most of the initial ingredients. This tends to make the production tonnages artificially high compared to other categories pre- paring low water content products. Final productivity fac- tors would be substantially higher for this category if only product dry weight was considered. Plant I has installed an automatic flow-proportional com- posite sampler with refrigerated storage. Samples are taken daily and analyzed for BOD and SS in the plant quality con- trol laboratory. Plant management uses raw waste strength as a gauge of their in-plant efficiency in minimizing waste of valuable ingredients into the sewer. They informed our investigator that if the weight of BOD in the raw waste ex- ceeds one percent of the production weight they investigate to determine the reason. As shown in Table 6, the BOD during our sampling period averaged only 0.56 percent of the production weight. Incidentally, the BOD and SS results of the plant laboratory analyses for the sampling days corre- lated very closely with the BOD and SS results of the NCA Laboratory analyses run on the frozen samples. MEAT SPECIALTIES (Category 4) Plant codes K and L are included in this category. Major products are ham, sausages, stews, pickled meats, hash, and chile, plus frozen items such as pre-fried meat patties. The meats have been slaughtered, dressed and packed else- where. Added ingredients are largely spices and preserva- 21 ------- tives. Substantial quantities of grease and oil are present in the waste flow from the cleaning of cooking vats, frying ovens, and other equipment which comes in contact with the meat. The two plants sampled represented opposite ends of the meat specialties category in terms of amount of processing per- formed. Plant K is a very small operation preparing a limited number of products. Processes include grinding, mixing with additives, then canning and cooking or patty forming and freezing. Minimal amounts of water are used for clean-up activities. Plant L on the other hand is a large meat canning operation preparing a wide assortment of meat specialties. Processing is more extensive, product changes more frequent, and waste generation significantly higher than Plant K. Tables 8 and 9 show the waste generation and strengths recorded for the two plants. We believe that Plant L is more typical of plants producing meat specialties, with BOD values of 16 kg/kkg (32 Ibs/ton) of production and 1,100 mg/1 concentration. Also, we believe the sampler used at Plant K may not have taken representative samples due to low flow volume in the sampler suction tube. Table 8. CATEGORY 4, AVERAGE POLLUTANTS CONTAINED IN WASTEWATER PER UNIT PRODUCTION Plant code Constituent (kg/kkg finished product) COD BOD SS VSS Total P TKN Grease and oil Volume (1/kkg) K 5.1 3.0 1.2 0.97 0.086 0.16 0.68 5,700 L 33 16 11 10 0.11 0.98 7.3 15,000 Average 19 9.5 6.1 5.5 0.098 0.57 4.0 10,000 22 ------- Table 9. CATEGORY 4, AVERAGE WASTEWATER CHARACTERISTICS Plant code Concentration (mg/1) COD BOD SS K 900 530 210 L 2,300 1,100 720 VSS 170 670 Total P TF Grease .N and oil 15 28 120 6.7 67 490 Average 1,600 820 460 420 11 48 300 CANNED SOUPS AND BABY FOODS (Category 5) Plant codes M and N are included in this category. Canned soups and baby foods, are put in one category because the plants typically are large, and produce many product varie- ties which contain different vegetable, meat, starch, and fruit ingredients. Both plants perform significant raw product processing of vegetables, as reflected by the rela- tively high wastewater generation figures shown in Tables 10 and 11. In this respect they are more closely allied with straight commodity processors than with many other cate- gories of the specialty foods industry. Major wastewater sources are plant clean-up; washing, trimming, blanching of raw vegetables; washing, peeling and coring of raw fruit; and cooking of meat. Generally, waste discharges will vary greatly in volume and strength, depending upon which varie- ties are being manufactured, and the relative quantities of raw commodities and pre-processed ingredients. Table 10. CATEGORY 5, AVERAGE POLLUTANTS CONTAINED IN WASTEWATER PER UNIT PRODUCTION Plant code Constituent (kg/kkg raw product) COD BOD SS VSS Total P TKN Grease and oil Volume (1/kkg) M 14 8.5 4l3 3.1 0.068 0.19 - 15,000 N 27 15 10 8.4 0.29 0.75 2.4 29,000 Average 20 12 7.2 5.8 0.18 0.47 22,000 23 ------- Table 11. CATEGORY 5, AVERAGE WASTEWATER CHARACTERISTICS Plant code Concentration (mg/1) COD BOD SS VSS Total P TKN Grease and oil M 1,000 590 280 210 4.1 12 N 940 520 360 290 10 26 82 Ave rage 970 560 320 250 7.0 19 TOMATO-CHEESE-STARCH COMBINATIONS (ITALIAN SPECIALTIES) - Category 6 Plant codes 0, P, Q and R are included in this category. Major products are canned and frozen spaghetti, lasagne, ravioli, frozen pizza, and other Italian specialties made with tomato, starch, and cheese base. These plants were placed in one category because they typically have the three principal ingredients listed, all of which are pre-processed elsewhere. The wastes are generated primarily from spills and clean-up of blending vats and cooking kettles. As seen from Tables 12 and 13 this category showed poor correlation in waste generation. We believe this wide di- versity is due to selectionv-of three plants which are vastly different in their operations due to size, product style, and percent of total plant capacity being used at the time of sampling. Plant R is the smallest operation covered in this study. Processing is done largely by hand. Virtually no water is used except for end of the day clean-up of equipment. As shown in the tables, wastewater generation was extremely low (1,800 1/kkg or 430 gal/ton product). This minimal clean-up flow provided little dilutio'n, thus the high concentrations. However, the wastewater volume was so low that even the higher strength of the waste could not significantly effect the productivity factor. The 2.6 kg COD/kkg product factor was the lowest of all 26 plants investigated. Plant O is a new plant operating at only a fraction of its design capacity. With increased production to optimum levels, the use of water for clean-up purposes is expected to become more efficient in terms of volume per unit produc- tion and cause the present high productivity factors and 24 ------- to Table 12. CATEGORY 6, AVERAGE POLLUTANTS CONTAINED IN WASTEWATER PER UNIT PRODUCTION Plant code Constituent (kg/kkg COD BOD SS 0 39 19 14 P - 3.3 Q 8.8 5.2 3.4 R 2.6 1.1 0.65 Total VSS P 13 0.79 - - 3.1 0.052 0.59 0.011 product) Gre TKN and 0.59 0.12 0.15 4 0.061 ase Volume oil (1/kkg) 80,000 9,800 .7 26,000 1,800 Average 17 7.2 6.0 5.6 0.28 0.23 29,000 ------- Table 13. CATEGORY 6, AVERAGE WASTEWATER CHARACTERISTICS Plant code Concentration (mg/1) o p Q R Average COD 500 - 340 1,500 780 BOD 240 340 200 690 370 SS 180 - 130 360 220 vss 150 - 120 330 200 Total P T* 10 7. 11. 2.0 5 6.0 34 6.0 15 Grease CN and oil 6 8 .6 180 wastewater generation to drop significantly. This plant also prepares institutional salads. Significant amounts of wastewater are generated by the washing of lettuce and blanching of other salad ingredients. Plant P is a very large plant which produces canned tomato- cheese-starch products. These canned products contain lar- ger volumes of water than do similar frozen items. High product water content generates artificially high production weights and thus lowers substantially the effluent produc- tivity factors. To summarize Category 6 we believe that none of the plants sampled could be called a "typical" situation. It is en- tirely possible, however, that the pollutant generation levels shown in Table 12 result in reasonable average values for this category in spite of the wide ranges. SAUCED VEGETABLES (Category 7) Only Plant S whose major product is frozen vegetables with and without cheese or butter sauce was sampled in Category 7. This category represents plants whose wastes are largely generated by the washing, peeling, cutting, blanching, and cooking or freezing of raw vegetables. The addition of butter sauce, tomato sauce, spices, etc. may technically 26 ------- place this plant under the specialty food category, however, we believe the waste load is similar to that of a straight vegetable processor, with added waste load from spillage and clean-up of sauce equipment. Plant S generates exceptionally high wastewater volume due to inefficient water use in the washing, cutting, cooling and transporting of the produce. The plant is about twenty- five years old and was designed at the time that water con- servation and wastewater volume reduction were not con- sidered important. Little modernization of equipment has been implemented, and the plant owners will soon be faced with the choice of large expenditures to reduce volumes dis- charged to the city sewer, or shut-down. The large volume provides dilution of pollutant concentrations and the plant effluent has a low BOD concentration of 310 mg/1. As can be seen from Tables 14 and 15. the sauce room clean- up wastewater is high in strength, being comprised of cheese, margarine and shortening; but it is insignificant in volume (less than 1 percent of the total wastewater flow). The sauce room waste accounts for about 15 percent of the total plant COD and BOD loads, 7 percent of the SS load, 27 percent of the total phosphorus load (phosphorus containing detergents used for sauce room clean-up), and 4 percent of TKN. Table 14. CATEGORY 7, AVERAGE POLLUTANTS CONTAINED IN WASTEWATER PER UNIT PRODUCTION Plant code S Constituent (kg/kkg finished product) COD BOD SS VSS Total P TKN Volume (1/kkg) 24-hour 45 25 21 16 0.33 1.1 plant raw wastewater 85,000 Sauce room 6.4 3.5 1.4 1.3 0.090 0.047 490 clean-up wastewater On the basis of this one plant, it appears that the rapid growth in the sale of sauced vegetables will increase the pollution load generated by the vegetable processing indus- try. 27 ------- Table 15. CATEGORY 7, AVERAGE WASTEWATER CHARACTERISTICS Plant code Concentration (mg/1) COD BOD SS VSS Total P TKN 24-hour raw wastewater 560 310 250 200 Sauce room 14,000 8,000 3,300 3,100 clean-up wastewater 4.4 230 13 100 SWEET SYRUPS, JAMS ANF) JELLIES (Category 8) Plant codes T and U fall into this category. Major products are syrups, fruit toppings, jams, jellies, and preserves. Typically, the ingredients include fruit, sugar, chocolate, nuts, cocoanut, and flavorings. Most ingredients are pre- processed elsewhere. The plants blend various proportions of ingredients, cook and package the products. Plant U processed only jams, jellies, and spreads. Plant T processed a variety of sweetened products plus jello, choco- late, cocoanut and instant rice. In spite of its variety of products, Plant T was placed in this category because the instant rice processing water is separately disposed and not included in Tables 16 and 17, and the chocolate, cocoanut and jello are very dry processes which contribute less wastewater than does the syrup operation. As seen from the tables the wastes are strong in dissolved organic strength, but relatively low in pollutant load per unit weight of production. Major wastewater generation is from clean-up of mixing vats and cookers during changes in product runs and at the endiof each day. Apparently, clean- up operations were efficient as indicated by low wastewater volumes for both plants. 28 ------- Table 16. CATEGORY 8, AVERAGE POLLUTANTS CONTAINED IN WASTEWATER PER UNIT PRODUCTION Plant code Constituent (kg/kkg finished product) COD BOD SS VSS Total P TKN Grease and Oil Volume (1/kkg) T 5.4 3.0 1.3 1.1 0.076 0.057 U 12 7.2 0.68 0.60 0.019 0.030 Average 8.7 5.1 1.0 0.85 0.048 0.044 0.62 2,700 2,000 2,400 Table 17. CATEGORY 8,.AVERAGE WASTEWATER CHARACTERISTICS Plant code Concentration (mg/1) COD BOD SS VSS Total P TKN Grease and Oil T 2,000 1,100 470 410 28 21 230 U 6,100 3,600 340 300 9.6 15 Average 4,000 2,400 400 360 19 18 CHINESE AND MEXICAN FOODS (Category 9) Included in this category are plant codes V, W and X. Major products are Chinese specialties such as chop suey, chow mein, and fried rice; and Mexican specialties such as thick vegetable sauces, hot peppers and dip mix. These plants correlated well because the product of all three plants is canned and high in vegetable content. A substantial portion of the raw vegetables are processed at the plants while all other ingredients are pre-prepared elsewhere. Major waste flows originate from washing and blanching of vegetables, and frora clean-up of mixing and cooking vats. Tables 18 and 19 show waste generation and strength. BOD generation averages 6.9kg/kkg 13.8 Ibs/ton) of production and 570 mg/1. 29 ------- Table 18. CATEGORY 9, AVERAGE POLLUTANTS CONTAINED IN WASTEWATER PER UNIT PRODUCTION Plant code Constituent (kg/kkg COD V 12 W 12 X 12 BOD 6.3 6.7 7. 8 SS 2.4 4.0 1.9 VSS 2.2 3. 8 1.2 Total P 0.084 0.041 0.29 finished product) TKN 0.36 0.27 0.21 Grease and Oil 1.2 4.7 - Volume dAkg) 14,000 18,000 8,900 Average 12 6.9 2.8 2.4 0.14 0.28 3.0 14,000 Table 19. CATEGORY 9, AVERAGE WASTEWATER CHARACTERISTICS Plant code Concentration (mg/1) COD V 830 W 670 X 1,300 BOD 450 370 900 SS 170 220 210 VSS 160 210 140 Total P TK 6.0 26 2.3 15 34 22 Grease N and Oil 85 260 - Average 930 570 200 170 14 21 170 BREADED FROZEN PRODUCTS (Category 10) \ Included in this category are plant codes Y and Z. Plant Y breads mushrooms, onions, and pre-processed perch after minimal washing. Plant Z prepares fish and shellfish that have been cleaned and dressed at a seafood processing plant. Generally, the seafood is thawed, washed, dried, dipped in batter, breaded and frozen. The breaded seafood is not fried. The major wastewater sources are plant clean-up, washing and rinsing of raw product, and thawing of frozen raw seafood in the case of Plant Z. 30 ------- Tables 20 and 21 show the wastewater generation and strengths of the effluent from the two plants. Plant Z utilizes huge volumes of water to thaw and frequently wash the product. As a result, waste strength is a relatively low 400 mg/1 BOD. Plant Y is primarily a producer of breaded onion rings. The batter is very rich and clean-up of equipment and spills results in a wastewater with an average 300 of 4,500 mg/1. In direct contrast to Plant Z, Plant Y operation generates very little wastewater but pro- duces the strongest waste of all plants investigated. Table 20. CATEGORY 10, AVERAGE POLLUTANTS CONTAINED IN WASTEWATER PER UNIT PRODUCTION Plant code Constituent COD Y 40 Z 66 Average 5 3 BOD 15 37 26 SS 23 30 26 VSS 23 29 26 (kg/kkg raw Total P 0.12 0.58 0.35 TKN 0.33 4.8 2.6 product) Grease and Oil 1.2 - - Volume d/kkg) 3,300 92,000 48,000 Table 21. CATEGORY 10, AVERAGE WASTEWATER CHARACTERISTICS Plant code Concentration (mg/1) COD Y 12,000 Z 720 Average 6,400 BOD 4,500 400 2,400 SS 7,100 330 3,700 VSS 7,100 320 3,700 Total P TK Grease N and Oil 37 100 360 6.3 52 22 76 These plants illustrate the differences between two plants with similar major process techniques (i.e., raw product cleaning, cutting, battering, breading, freezing) but with different water usage patterns; one being a very wet opera- tion and the other very dry. 31 ------- SECTION VI RAW WASTE LOADS, CURRENT TREATMENT TECHNOLOGY, AND PLANT DISTRIBUTION STANDARD RAW WASTE LOADS Great product diversity in this industry is reflected by large differences in waste generation between the different categories identified in Section V. Table 22 on the fol- lowing page summarizes average wastewater productivity fac- tors for all categories in terms of kilograms of pollutant per thousand kilograms of finished product. Figures 2 and 3 provide a graphical representation of similar data. Using COD as a measure of organic strength, Table 22 shows that category 10 (breaded frozen products) produces approximately 50 kg of COD per 1,000 kg of production (100 Ibs/ton). The lowest category in terms of COD production is number 8 (sweet syrups, jams and jellies) in which the two plants sampled produced an average of only 9 kg of COD per 1,000 kg of production (18 Ibs/ton). Values of BOD's generally ran about 50 percent of COD values in the samples analyzed. Average values for other waste constituents shown in Table 22 generally indicate that the industry produces suspended solids (SS) which are highly organic (VSS), the wastes are often deficient in nutrients (Total P and N) which must be added for satisfactory biological treatment, that grease and oil are significant ingredients where substantial frying is done, and finally, that wastewater volumes vary greatly. Table 23 summarizes average raw wastewater constituent con- centrations for all categories. Figure 4 provides a graphi- cal representation of similar data. With few exceptions the average results reflect typical food processing wastes which are very high in COD and BOD concentrations, and organic suspended solids. In general, the wastes are amenable to discharge into municipal systems for joint treatment. In certain instances, pre-treatment may be required for removal 32 ------- TABLE 22. AVERAGE POLLUTANTS CONTAINED IN WASTEWATER PER UNIT OF PRODUCTION, BY CATEGORY Category Aver< COD I age productivity factors (kg/kkg product) BOD SS VSS 1 34 17 14 14 2 52 23 14 14 3 13 7.5 3.5 3.4 4 19 9.9 6.1 5.5 5 20 12 7.6 5.8 6 17 7.2 6.0 5.6 * 7 45 25 21 16 8 8.7 5.1 1.0 0.85 9 12 6.9 2.8 2.4 10 53 26 26 26 Total P 0.19 0.082 0.028 0.098 0.18 0.28 0.33 0.048 0.14- 0.35 TKN 0.44 0.30 0.037 0.57 0.47 0.23 1.1 0.044 0.28 2.6 G&O 15 11 5.7 4.0 2.4 4.7 - 0.62 3.0 - Volume (1/kkg) 12rOOO 11,000 2,800 10,000 22,000 29,000 85,000 2,400 14,000 48,000 33 ------- 70 60 a: O h- o a o o CO I- O Z> O O a: a. y o o a: a. o UJ x CO LL en 50 40 30 20 10 Average Lowest Plant Highest Plant ill LOWEST AND HIGHEST REFER TO THE LOWEST AND HIGHEST AVERAGE PLANT EFFLUENTS OVER THE SAMPL- ING PERIOD, NOT ONE DAY VALUES 23 456785 CATEGORY Figure 2.COD productivity factors for all categories 10 ------- CO Ul UJ * O o H- o: UJ UJ 0 (T UJ ;D o 0 o: Q. 0 UJ CO u. 0> 90,000 80,000 70,000 60,000 50,000 40,000 30,000 20,000 10,000 LOWEST AND HIGHEST REFER TO Average Lowest Plant Highest Plant 456 CATEGORY 8 10 THE LOWEST AND HIGHEST AVER- _. _ ... . . .. , , AGE PLANT EFFLUENTS OVER THE Figure 3. Wastewater generation for each category SAMPLING PERIOD, NOT ONE DAY VALUES. ------- CO I I- o z UJ o: i- co a: UJ UJ o o o o 12,000 11,000 10,000 9,000 8,000 7,000 6,000 5,000 4,000 3,000 2,000 1,000 LOWEST AND HIGHEST REFER TO THE LOWEST AND HIGHEST AVER- AGE PLANT EFFLUENTS OVER THE SAMPLING PERIOD, NOT ONE DAY VALUES. Average Lowest Plant Highest Plant I 2 3 4 5 67.8 CATEGORY Figure 4. COD concentration for all categories 10 ------- Table 23. AVERAGE WASTEWATER CHARACTERISTICS BY CATEGORY Category Concentration (mg/1) COD BOD SS VSS Total P TKN G&O 1 2 3 4 5 6 7 8 9 10 3,900 7,000 4,700 1,600 970 780 560 4,000 900 6,400 1,900 3,200 2,600 820 560 370 310 2,400 570 2,400 1,500 2,200 1,200 460 320 220 250 400 200 3,700 1,500 2,100 1,200 420 250 200 200 360 170 3,700 21 6.8 11 11 7.0 6.0 4.4 19 14 22 45 36 14 48 19 15 13 18 21 76 2,000 820 2,000 300 82 180 - 230 170 360 of grease and oil to prevent deposition in the municipal col- lection system. Where the specialty food processing plant provides final treatment and disposal, the wastes can be suc- cessfully treated with properly designed biological treatment processes. It is important to note the wide differences (more than 10:1) in waste strength between categories of the specialty food industry as shown in Table 23. This wide difference in waste strength is due to a variety of reasons, the most significant of which are summarized in the following paragraphs. Richness of product ingredients. All food processing plants undergo extensive clean-up of equipment, floors, spillages, etc. The principal waste com- ponents of the wash water are the ingredients used in product manufacture. Where these ingredients are high in fats, carbohydrates, sugar, etc. the resultant waste is correspondingly strong. As an example, the categories showing the high gener- ation of organic wastes were frozen breaded prod- ucts, which use a rich egg batter, and frozen 37 ------- bakery desserts which use large quantities of but- ter, eggs, and sugar. Number and type of processes performed. The plant process line may consist of many steps (cooking, blending, etc.) or very few. The individual process steps may contribute heavily to wastewater genera- tion (blanching, washing, etc.) or very little. It was beyond the scope of this project to investigate wastes generated by individual process steps, how- ever, even casual observation revealed the signifi- cance of this aspect. Number of different products and frequency of changes in product. As a rule when the type of product is changed all equipment in the process line is thoroughly cleaned. Therefore, plants which have relatively short runs of many different products generate more clean-up waste than do plants which run the same product for many days. Moisture content of ingredients and the final prod- uct. In this report pollution generation factors are calculated per unit weight of product. A major shortcoming of this approach is that the moisture of ingredients and products varies widely. For example, a canned spaghetti plant will produce less pollution per unit weight of production than a fro- zen pizza plant even though both are primarily a starch and tomato product. The canned spaghetti product has a much higher moisture content - there- fore weighs more - and shows lower pollution prod- uctivity per unit weight of production. Management desire to reduce waste generation. With- out question, a major factor in waste generation from any plant is the presence or absence of in- plant waste management programs designed to minimize waste disposal to the sewer. Other factors. A multitude of other factors may have a significant effect upon wastewater generation from a particular plant. These include, plant size, number of shifts, percentage of production capacity in use, cost of water supply and wastewater dispos- al, degree to which ingredients have been pretreated elsewhere, and economic ability of the plant to mod- ernize equipment. 38 ------- CURRENT TREATMENT TECHNOLOGY The specialty food plants investigated exhibited a wide spectrum of wastewater treatment facilities from no treat- ment to extensive biological and physical-chemical systems. While evaluation of waste treatment systems was outside the scope of the project, a brief description of study team ob- servations is provided. Of the 26 plants investigated, 6 provided the equivalent of secondary treatment using biological systems in conjunction with other unit processes. The most extensive treatment facility observed is described in the case study for plant A (See appendix) and is reported to achieve in excess of 99 percent BOD reduction on raw waste with average BOD levels of 4,000 mg/1. The treatment facility has a design capacity of 350,000 gpd and is estimated by the owner to have a re- placement value of approximately 3 million dollars. Other excellent secondary and tertiary treatment facilities were observed at Plants F, T and N. Plant D utilizes a land disposal system which has successfully operated for over 20 years. Twenty-one of the 26 plants investigated discharged into municipal systems. Plants 0 and H provide activated sludge pre-treatment in order to reduce BOD levels 90 percent or more prior to discharge into the municipal sewer. Each is a large plant located in a small community. Plant V pro- vides only screening on its' waste, but is reported to have a long term arrangement with the small community where it is located whereby the company pays approximately 85 percent of all capital and operating costs for municipal sewage treatment facilities. Of the other 18 plants investigated, 4 provided no pre- treatment, 2 provided grease traps only, and the remainder provided various degrees of screening, settling, or flota- tion prior to discharge to sewers. Several clarification operations utilized chemical treatment for pH adjustment and to promote coagulation . Table 24 summarizes the treatment at each plant investiga- ted. There is no correlation between category and degree or type of treatment. 39 ------- Table 24. SPECIALTY FOOD PLANT WASTEWATER TREATMENT OPERATIONS Treatment Plants utilizing None J, R, u, Y Collection baskets in E drains (only) Grease trap (only) F, K Screening A, C, M, N, P, Q, S, T, V, W, Z Settling A, B, C, D, F, G, H, I, L, N, T, X Coagulation B, N, W Trickling filtration A, N Activated sludge Conventional A, H Extended aeration O, T Lagooning Anaerobic A Aerobic P . Aerated F, N, P Dissolved air flotation A, B, F, N, W Chlorination A, F, N, P Sand filtration F Land disposal D, N, P (partial or total) 40 ------- PLANT DISTRIBUTION Table 25 on the following pages lists the number of special- ty food plants in each state by category. The table was compiled by the AFFI staff, using the best industry direc- tory information available. (I/2, 3) A total of 2,321 specialty food plants are shown, with the largest number in the states of California, New York, Illinois and Pennsyl- vania. Meat specialties and breaded frozen products have the largest number of individual plants among the categories. (1)American Frozen Food Institute Membership Directory - 1974 Edition. (2)The Directory of the Canning, Freezing, Preserving Industries, 1970-1971, Published by Edward E. Judge & Sons. (3)Quick Frozen Foods, 1972 Directory of Frozen Food Processors, Published by Conover-Mast Publications, Division of Cohners Publishing Co., Inc. 41 ------- Table 25. DISTRIBUTION OF SPECIALTY FOOD PLANTS BY CATEGORY AND STATE 10 Categories 1. Prepared dinners 2. Frozen bakery products State AL AZ AI< AR CA CO CT DE 11 3 25 2 4 1 4 3 29 2 51 3. Dressings, sauces 12 2 21 2 1 1 & spreads 4. Meat specialties 5. Soups and baby foods 6. Tomato- cheese- starch comb. 7. Sauced vegetables 8. Sweet syrups, 12 3 10 42 5 8 1 1 15 2 1 3 15 1 1 1 1 2 43 2 3 14 FL 4 5 4 13 6 1 5 GA 2 3 1 15 1 2 2 3 jams & jellies 9 . Chinese & Mexi- can foods 10. Breaded frozen products TOTAL 1 3 20 1 3 2 7 1 18 4 48 1 24 22 9 22 31 272 16 26 14 4 40 82 4 6 39 ------- Table 25 (continued). DISTRIBUTION OF SPECIALTY FOOD PLANTS BY CATEGORY AND STATE u> Categories 1. 2. 3. 4. 5. 6. 7. 8. Prepared dinners Frozen bakery products State MA MI MN MS MO MT NE 638 7 4 5 14 6 1 10 5 Dressings, sauces 44415 3 & spreads Meat specialties Soups and baby foods Tomato- chees e- starch comb. Sauced vegetables Sweet syrups , 9 14 12 7 5 1 10 1231 4 1141 3 3 11 1 1 2 6 1 NV NH NJ 1 14 13 1 10 1 1 19 1 8 6 4 1 2 jams & jellies 9. 10. Chinese & Mexi- can foods Breaded frozen products TOTAL 11 5 6 2 4 38 8 7 6 5 7 84 62 51 17 36 1 42 18 13 2 4 107 ------- Table 25 (continued). DISTRIBUTION OF SPECIALTY FOOD PLANTS BY CATEGORY AND STATE *». Categories 1. 2. 3. 4. 5. 6. 7. 8. Prepared dinners Frozen bakery products State NM NY 26 25 Dressings, sauces 19 & spreads Meat specialties Soups and baby foods Tomato - cheese- starch comb. Sauced vegetables Sweet syrups, 40 14 11 12 7 NC 2 4 1 4 1 1 1 1 ND OH OK 8 1 13 4 9 5 2 27 9 10 1 5 1 2 4 OR 3 8 1 4 2 30 2 PA 8 12 13 33 11 2 14 9 RI SC 1 1 1 2 1 3 2 1 2 1 1 jams & jellies 9. 10. Chinese & Mexi- can foods Breaded frozen products TOTAL 1 22 43 1 219 2 7 24 9 4 1 1 4 85 27 4 11 65 11 20 133 1 1 6 2 15 11 ------- Table 25 (continued). DISTRIBUTION OF SPECIALTY FOOD PLANTS BY CATEGORY AND STATE Ul Categories 1. 2. 3. 4. 5. 6. 7. 8. Prepared dinners Frozen bakery products State HI ID IL 1 1 28 1 3 25 Dressings, sauces 13 & spreads Meat specialties Soups and baby foods Tomato - cheese- starch comb. Sauced vegetables Sweet syrups, 3 33 1 9 1 5 197 214 IN IA KS 442 5 3 521 10 11 2 3 2 4 1 1 KY LA 1 2 2 2 6 2 4 3 3 1 1 2 2 3 ME MD 2 6 3 7 10 3 9 2 8 5 1 5 4 jams & jellies 9. 10. Chinese & Mexi- can foods Bre.aded frozen products TOTAL 1 1 29 11 24 7 30 177 4 3 1 41 21 6 3 2 26 13 52 6 6 28 17 88 ------- Table 25 (continued). DISTRIBUTION OF SPECIALTY FOOD PLANTS BY CATEGORY AND STATE Categories 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Prepared dinners Frozen bakery products State SD TN 5 6 Dressings, sauces 2 & spreads Meat specialties Soups and baby foods "" Tomato - cheese- starch comb. Sauced vegetables 1 6 2 12 5 - Sweet syrups , 2 jams & jellies Chinese & Mexi- can foods Breaded frozen products TOTAL 4 5 1 49 TX UT VT VA WA WV WI WY Total 6 145 7 2146 12 2 14 15 3 76 3 1 3 1 21 5 1 1 1 36 2 4 6 1124 20 1 20 35 77 10 5 45 100 4 211 4 253 6 184 14 441 2 124 89 7 230 4 82 1 202 17 505 59 2,321 ------- SECTION VII APPENDICES APPENDIX A FIELD INVESTIGATION REPORTS Page Plant A - Prepared Dinners and Bakery Desserts, Cate- gory 1 49 Plant B - Prepared Dinners, Category 1 54 Plant C - Prepared Dinners, Category 1 59 Plant D - Prepared Dinners, Category 1 62 Plant E - Prepared Dinners, Vegetables, Category 1 65 Plant F - Prepared Dinners, Category 1 68 Plant G - Frozen Bakery Products, Category 2 71 Plant H - Frozen Bakery Products, Category 2 74 Plant I - Salad Dressings and Oil, Category 3 76 Plant J - Dressings, Sauces and Pie Fillings, Cate- gory 3 79 Plant K - Meat Specialties, Category 4 83 Plant L - Canned Meat Specialties, Category 4 86 Plant M - Baby Foods, Category 5 89 Plant N - Canned Soups, Category 5 92 Plant 0 - Tomato-Cheese-Starch Combinations, Cate- gory 6 95 Plant P - Tomato-Cheese-Starch Combinations, Cate- gory 6 98 Plant Q - Tomato-Cheese-Starch Combinations, Cate- gory 6 100 Plant R - Tomato-Cheese-Starch Combinations, Cate- gory 6 102 47 ------- Page Plant S - Sauced Vegetables, Category 7 105 Plant T - Sweet Syrups, Category 8 109 Plant U - James and Jellies, Category 8 113 Plant V - Chinese Foods, Category 9 116 Plant W - Chinese Foods, Category 9 119 Plant X - Mexican Foods, Category 9 122 Plant Y - Breaded Frozen Products, Category 10 126 Plant Z - Breaded Fish and Shellfish, Category 10 129 48 ------- PREPARED DINNERS Plant Code: A Location: East Category: 1 Products: Prepared dinners, meat entrees,bakery desserts Dinners: beef, meat loaf, Salisbury steak, ham, spa- ghetti and meatballs, franks and beans, macaroni and beef, macaroni and cheese, beef enchaladas, chicken, turkey, fish, shrimp, tuna. Pot Pies: beef, chicken, turkey, .tuna. Bakery Products: pies, cakes, toppings, pastries. Significant Ingredients (used during sampling period) Processed at Plant Gravies Poultry (cutting, deboning, frying, or boiling) Sampling Procedure Pre-Processed Elsewhere All vegetables Poultry (initial cleaning and slaughtering) Beef Shortening Eggs Flour Flavorings Fruits Milk Chocolate Sugar An automatic sampler was used to collect ten 24-hour time interval composite samples of the raw plant wastewater. The samples were taken just downstream from the 20 mesh screening operation. Wastewater Characteristics Combined Process and Clean-Up Wastewater (24 Hour Composites)* COD Avg. Cone. (mg/1) Range of Cone. (mg/1) 7,900 3,900- 17,000 BOD 4,000 2,000- 6,500 SS 3,900 1,700- 8,300 VSS 3,800 Total P 29 1,700- 20- 8,300 41 TKN 51 14- 82 Grease & Oil 5,100 2,200 9,900 *Ten samples pH range - 4.7-10.0 49 ------- Productivity Factors Based upon average daily wastewater volumes, production data supplied by the plant, and wastewater quality characteristics from lab analysis, the following produc- tivity factors were calculated. PRODUCTIVITY FACTORS Combined Process and Clean-Up Wastewaters Average kg/kkg Constituent Finished Product COD BOD SS VSS Total P TKN Grease & Oil 69 35 34 33 0.25 0.44 44 Wastewater Generation 8,700 (1/kkg finished product) 1 Ib/ton =0.5 kg/kkg 1 gallon/ton = 4.173 1/kkg Treatment facilities Treatment facilities at this specialty food plant are ex- tensive as shown on Figure A-l and include the following operations: Rotary screening Gravity sedimentation Dissolved air flotation Anaerobic lagooning - Biological trickling filtration Aeration Final clarification Chlorination This unit processes chain is reported to consistently pro- duce an effluent of less than 20 mg/1 BOD starting with a raw waste of 3,000 to 4,000 mg/1 BOD. Grease and oil is reduced to about 2 mg/1 and suspended solids to less than 40 mg/1. According to the operators, the key treat- ment units are the anaerobic lagoons which stabilize the waste and equalize the flow into the trickling filters. 50 ------- A tabulation of reported unit reductions of screened wastes in BOD, G&O, and SS follows: Percent Reduction Sedimentation Flotation Anaerobic lagoon Trickling filter Activated sludge Total BOD 40 15 4 15 26 100 G&O 80 14 6 - 100 SS 73 16 7 (3) 6 99 This treatment facility evolved over a ten year period and is not suggested as an optimum design for a new facility. The final effluent is discharged to a small creek and is the only water source into the creek most of the year. Design data for the waste treatment plant shown in Figure A-l is as follows: Design Flow: Approximately 0.5 MGD. Screens: Two 20 mesh Sweco screens remove approximately 1,000 Ibs/day of screened solids which are disposed to landfills. Sedimentation Tanks: Two rectangular clarifiers, 10 ft x 125 ft x 10 ft, 187,000 gal. capacity. Dissolved Air Flotation Tanks; Two rectangular tanks, 200 sq ft surface area each. Anaerobic Lagoons; Three lagoons, 1.93 million gal. capa- city each, with approximately 100 percent recirculation from final lagoon to first lagoon. Trickling Filters: 5,500 cu ft plastic media and 11,000 cu ft rock media in series. Activated Sludge Aeration Tanks; Four rectangular tanks, each 141,000 gal capacity, with mechanical aerators. Final clarifiers; Two circular clarifiers with 962 sq ft and 1,590 sq ft surface area respectively. Activated sludge recirculation rate is approximately 50 percent. 51 ------- Primary Sludge and Waste Activated Sludge is centrifuged, thickened and disposed to landfill. Approximately 4,500 Ibs per day of grease is recovered and sold for 2-1/2 Chlorine Contact Tank: Provides 0.5 hours contact time. 52 ------- RAW PLANT EFFLUENT SCREENING SEDIMENTATION oo TRICKLING FILTERS ANAEROBIC LAGOONS DISSOLVED , AIR FLOTATION CENTRIFUGE SLUDGE THICKENER FINAL EFFLUENT ACTIVATED SLUDGE FIGURE A-l PLANT A WASTEWATER TREATMENT FACILITY CLARIFIERS ------- PREPARED DINNERS Plant Code: B Location: West Category: 1 Products: Prepared dinners and pot pies Entrees: sliced turkey, fried chicken, meat loaf, roast beef, beef enchiladas, cheese enchiladas. Other Ingredients: potatoes, rice, corn, peas, beans. Significant Ingredients (used during sampling period) Processed at Plant Pre-Processed Elsewhere Gravies All vegetables Beans Poultry (initial slaughtering Turkey (deboned, and cleaning) cooked, sliced) Beef Olives Chicken (cut, Rice Flour fried or deboned, Cheese Milk boiled) A simplified schematic diagram of plant operations is shown in Figure A-2. Sampling Procedure An automatic sampler was used to collect two time inter- val composite samples per day of the raw waste at the inlet to the pre-treatment flotation tank. Five samples of the basic production operation (6:30 a.m.-4:30 p.m.), and five samples of the general cleanup and ingredient preparation activities (4:30 p.m.-6:30 a.m.) were taken. Wastewater Characteristics 54 ------- PREPARATION ASSEMBLY FOWL CUTTING TURKEY (processed elsewhereL|cOOKING and frozen) COOKING CHICKEN (processed elsewhere 4 CUT and frozen) BONING BONING BONING FLJOURED COOKING J.[SLICING]- SLICING FRYING NOTE HEAVY ARROW DESIGNATES MAJOR LIQUID WASTE GENERATION MEAT MEATLDAF VEAL (patties prepared elsewhere) BEEF (prepared elsewhere and rolled) i BROILING -\ SLICED |- tjKAVIbS (meat juice from cooking ) VEGETABLES (processed elsewhere and frozen) POTATOES MEXICAN DRIED BEANS *- CORN (dehusked decobbed ___ elsewhere) ~"~ RIPF flour milk 1 1 - Pui^ ^ | MIXcu | - lyjivic *. I PI i i^Trr? RDF&I^I IP|- 4 I POfiflF (FREE {WASHING! (COOKING |j MASHING J [COOKING]-~-[GRINDING| prepared che( ^^^^^^^^^^^^^j PLANT CLEAN- 01 ITTING INED) JINED) ZING") ("PACKAGED) INTO (COMBINING)HCOOKING |-^- >-v J^AUnMRI IDl t l clSw>S9e"mi^OMBINED3 * (FROZEN") FIGURE A-2 PLANT B PREPARED DINNER PLANT SIMPLIFIED PROCESS FLOW DIAGRAM ------- Production Shift Wastewater* (6:30 a.m. - 4:30 p.m.) Total Grease COD BOD SS VSS P TKN & Oil Avg. Cone. (mg/1) 12,000 4,800 2,700 2,700 16 44 7,800 Range of Cone. 6,400- 3,200- 1,800- 1,800- 10- 1.9- 5,600- (mg/1) 20,000 8,600 3,400 3,400 30 62 10,000 *Five samples pH ra'nge - 5.2-6*1 Clean-Up and Gravy Preparation Shift Wastewater* (4:30 p.m. - 6:30 a.m.) Total COD BOD pH SS VSS P TKN Avg. Cone. (mg/1) 3,100 1,500 1,100 1,100 39 27 Range of Cone. 1,800- 570- 6.3- 630- 620- 28- 21- (mg/1) 6,800 3,000 6.8 2,200 2,200 60 45 *Five samples Productivity Factors Based upon wastewater volumes and production figures pro- vided during the 10 sampling periods, productivity fac- tors were calculated for (1) the total 24 hours, (2) the production shift, and (3) the clean-up and gravy prepara- tion shift. The results are shown on the following three tables. 56 ------- PRODUCTIVITY FACTORS Combined Process and Clean-Up Wastewaters Average kg/kkg Range kg/kkg Constituent finished product finished product COD BOD SS VSS Total P TKN Grease & Oil* 42 18 11 11 0. 18 0.25 21 25-82 10-39 7.0-17 6.9-17 0.16-0.24 0.08-0.30 14-29 Wastewater Generation 6,200 6,100-6,400 (1/kkg finished product) *Data available for production shift only. PRODUCTIVITY FACTORS Production Shift Wastewater (6:30 a.m. - 4:30 p.m.) Average kg/kkg Range kg/kkg Constituent finished product* finished product* COD BOD SS VSS Total P TKN Grease & Oil 45 27 10 10 0.060 0.16 31 22-83 11-51 6.6-14 6.6-14 0.042-0.12 0-0.21 20-42 Wastewater Generation 3,600 3,500-4,200 (1/kkg finished product) *Average during designated time period. 57 ------- PRODUCTIVITY FACTORS Clean-Up and Gravy Preparation Wastewater (4:30 p.m. - 6:30 a.m.) Average kg/kkg Range kg/kkg Constituent finished product* finished product* COD 37 26-78 BOD 18 7.1-34 SS 13 7.9-25 VSS 12 7.7-25 Total P 0.46 0.35-0.69 TKN 0.32 0.26-0.51 Wastewater Generation 12,000 11,000-13,000 (1/kkg finished product) *Average during designated time period. 1 Ib/ton =0.5 k/kkg 1 gallon/ton = 4.173 1/kkg Approximately 70 percent of the plant production occurs during what is called the "Production Shift," while 30 percent occurs during the "Clean-Up Shift." The tables show that the general clean-up period at this plant generates approximately 60 percent of the total daily flow volume. Pre-Treatment Facilities Pre-treatment prior to discharge to the city sewers con- sists of pressurized dissolved air flotation, coagulation and settling for removal of grease, flotables, and sus- pended solids. 58 ------- PREPARED DINNERS Plant Code: C Location: West Category: 1 Products: Prepared dinners and pot pies Entrees: macaroni and cheese, macaroni and beef, sliced turkey, fried chicken, beans and franks, swiss steak, meat loaf, chopped beef sirloin, pork loin, veal par- migiana, chow mein, beef enchiladas, tamales, sweet'n sour chicken and pork. Other Ingredients: carrots, corn, peas, green beans, refried beans, rice, potatoes, apples, desserts. Pot Pies: beef, turkey, chicken. Significant Ingredients (used during sampling period) Processed at Plant Pre-Processed Elsewhere Beans All vegetables Rice Gravies All fruit Flour Macaroni Milk Beef Cheese Turkey Sauces Chicken Chocolate Pork Eggs Potatoes A simplified schematic diagram of plant operations is shown in Figure A-3. Sampling Procedure An automatic sampler was used to collect eight 24-hour time interval composite samples of the raw plant waste- water at the inlet to the settling tank. Wastewater Characteristics 59 ------- PREPARATION VEGETABLES (FROZEN) DUMP AND INSPECT POTATOES FROZEN AND FRESH WHIPPED OR FRIED MEAT TURKEY, PORK, BEEF, AND CHICKEN COOKED 8 FROZEN, SLICED ft DICED MEAT PATTIES PREPARE MIX, FORM PATTY AND COOK CORN COOK, GRIND, FORM TORTILLA OR PRE- PARE MASA MIX. TAMALES, ENCHILADAS BEANS WASH, SORT, AND COOK FISH (FROZEN) BATTER AND FRY DOUGH MIX DOUGH MACARONI. SPAGETTI, NOODLES COOK a BLEND WITH SAUCE SOUPS. PUDDINGS. AND SAUCES BLEND AND COOK ASSEMBLE DINNER GRAVIES BLEND AND COOK MUFFINS a CAKES MIX FRUITS DRAIN, SORT, AND COOK PLANT CLEAN-UP FIGURE A-3 PLANT C PREPARED DINNER PLANT SIMPLIFIED PROCESS FLOW DIAGRAM (HEAVY ARROWS DESIGNATE MAJOR WASTEWATER GENERATING OPERATIONS) 60 ------- Combined Process and Clean-Up Wastewater (24 Hour Composites)* Total COD BOD pH SS VSS P TKN Avg. Cone. (mg/1) Range of Cone. (mg/1) 1,300 850- 2,400 620 490- 920 6.3- 7.2 530 330- 650 510 320- 640 11 9.3- 14 28 7.3- 43 *Eight samples Productivity Factors Based upon daily wastewater volumes, production data supplied by the plant, and wastewater quality character- istics from the lab, the following productivity factors were calculated. PRODUCTIVITY FACTORS Combined Process and Clean-Up Wastewaters Average kg/kkg Range kg/kkg Constituent finished product finished product COD 28 19-55 BOD 13 9.2-18 SS 11 8.8-14 VSS 11 8.5-14 Total P 0.24 0.17-0.33 TKN 0.61 0.16-0.93 Wastewater Generation 22,000 18,000-27,000 (1/kkg finished product) 1 Ib/ton =0.5 kg/kkg 1 gallon/ton = 4.173 Pre-Treatment Facilities Pre-treatment consists of settling followed by 20 mesh rotary screening for removal of solids and BOD. The effluent is then discharged to the sewer. 61 ------- PREPARED DINNERS Plant Code: D Location: East Category: 1 Products: Prepared institutional dinners Entrees: meat loaf, choppen sirloin, swiss steak, chicken fricassee, stuffed peppers, fish. Other Ingredients: creamed spinach, peas, beans, corn, other vegetables, potatoes. Significant Ingredients (used during sampling period) Processed at Plant Pre-Processed Elsewhere Spinach Beef (initial butchering) Bell peppers Chicken (initial cleaning) Beef (cooking only) Fish Butter Chicken (cutting, Rice Potatoes deboning, cooking) Milk Seasonings A simplified schematic diagram of plant operations is shown in Figure A-4. Sampling Procedure An automatic sampler was used to take eight 24-hour, time interval composite samples of the raw wastewater at the inlet to the settling tank. Wastewater Characteristics Combined Process and Clean-Up Wastewater (24 Hour Composite)* Total Grease COD BOD SS VSS P TKN & Oil Avg. Cone. (mg/1) Range of Cone. (mg/1) 1,300 790- 2,600 720 200- 1,500 680 420- 1,400 650 380- 1,400 7.6 3.5- 12 26 12- 59 140- 120- 200 *Eight samples pH range - 4.4-7.1 62 ------- MEAT PREPARATION THAWING OF FROZEN POULTRY BEEF, PORK OR FISH PRE-PROCESSED ELSEWHERE r GRAVY PREPARATION WITH ADDITION OF FLOUR, CONDIMENTS ETC. SLICING, CUBING SHAPING FRYING SIMMERING OR BAK ING THAWING OF FROZEN VEGETABLES PRE-PROCESSED ELSEWHERE VEGETABLE COOKING ( PARTIAL ) ASSEMBLY LINE PLANT CLEAN -UP FIGURE A-4 PLANT D PREPARED DINNER PLANT SIMPLIFIED PROCESS FLOW DIAGRAM (heavy arrows designate major wastewater generating operations) ------- Productivity Factors Based upon average, daily wastewater volumes, production data supplied by the plant, and wastewater quality char- acteristics from laboratory analyses, the following pro- ductivity factors were generated. PRODUCTIVITY FACTORS Combined Process and Clean-Up Wastewaters Average kg/kkg Constituent finished products COD 27 BOD 15 SS 14 VSS 14 Total P 0.16 TKN 0.55 Grease & Oil 2.9 Wastewater Generation 21,000 (1/kkg finished product) 1 Ib/ton =0.5 kg/kkg 1 gallon/ton = 4.173 1/kkg Treatment Facilities Wastewater treatment includes settling for solids removal and land disposal by spraying into a wooded area. 64 ------- PREPARED DINNERS, VEGETABLES Plant Code: E (Historical Data Only) Location: Midwest Category: 1 Products: Prepared dinners, vegetables Entrees: tuna noodle casserole, potatoes au gratin, lasagna, creamed chipped beef, spinach souffle, macaroni and cheese, macaroni and beef. Significant Ingredients (used during sampling period) Processed at Plant Pre-Processed Elsewhere Beef (cutting, Beef (initial butchering) cooking) Tuna Cheese Potatoes Milk Noodles Flour Vegetables Butter Sampling Procedure Three composite samples were obtained for the tests, each representing four hours of operation on a different day. Each sample consisted of a composite of grab samples taken at five minute intervals over a period of four hours. A composite total of five gallons was obtained during each sampling period. All samples were taken from the combined waste manhole, on the plant property. The samples were taken in such a manner as to insure collection of representative portions of solids and floating material. The samples were refrigerated during the collection period and while in- transit to the laboratory. Wastewater Characteristics 65 ------- Combined Process and Clean-Up Wastewater (24 Hour Composites)* Avg. Cone. COD 2,100 BOD 1,200 PH SS 700 VSS 640 Grease & Oil 400 (mg/1) Range of Cone. (mg/1) 1,700- 2,400 1,000- 1,500 8.3- 9.1 380- 1,100 360- 1,000 200- 800 *Three samples Productivity Factors Based upon daily wastewater volumes, production data supplied by the plant, and wastewater quality character- istics from lab'analysis, the following productivity factors were calculated. PRODUCTIVITY FACTORS Combined Process and Clean-Up Wastewaters kg/kkg finished Constituent product COD 20 BOD 11 SS 6.6 VSS 6.0 Grease & Oil 3.8 Wastewater Generation 9,400 1/kkg (1/kkg finished product) 1 Ib/ton =0.5 kg/kkg 1 gallon/ton = 4.173 1/kkg Pre-Treatment Facilities Collection baskets are used in the trench drains to col- lect solids such as macaroni and potatoes, before the 66 ------- wastewater enters the sewer. No other pre-treatment is provided. 67 ------- PREPARED DINNERS Plant Code: F Location: East Category: 1 Products: Prepared dinners, pot pies, stews and other meat entree dishes Dinners: beef, chicken, pork, turkey. Pies: beef, chicken, turkey. Stews: beef, brunswick, lamb, chicken, mixed. Miscellaneous: stuffed peppers, stuffed cabbage, beef gravy, chicken and gravy, chicken and noodles,chicken (boned), chili con carne, hamburgers, meat balls, Salisbury steak, turkey with gravy, veal parmigiana, shrimp creole, lasagne, macaroni, spaghetti. Significant Ingredients Processed at Plant Pre-Processed Elsewhere Gravies All vegetables Noodles Beef Shrimp Turkey Flour Chicken Milk Pork Seasonings Lamb Tomatoes Sampling Procedure An automatic sampler was used to collect seven 24-hour, time interval composite samples of the raw plant waste- water. The samples were taken just downstream from a preliminary screening operation at the inlet to the wastewater treatment facility. Wastewater Characteristics 68 ------- Combined Process and Clean-Up Wastewaters (24 Hour Composites)* Avg. Cone. (mg/1) Range of Cone. (mg/1) Total COD BOD SS VSS P 3,800 2,000 1,400 1,400 28 1,700- 1,200- 460- 440- 22- 8,200 4,700 3,000 2,900 41 Grease TKN & Oil 85 1,100 55- 230- 100 2,900 *Seven samples pH range: 5.7-9.8 Productivity Factors Based upon average daily wastewater volumes, production data supplied by the plant, and wastewater quality characteristics, the following productivity factors were calculated. PRODUCTIVITY FACTORS Combined Process and Clean-Up Wastewaters Constituent Average kg/kkg finished product COD BOD SS VSS Total P TKN Grease & Oil Wastewater Generation (1/kkg finished product) 17 8.8 6.2 6.2 0.12 0.37 4.8 4,400 1 Ib/ton =0.5 kg/kkg 1 gallon/ton = 4.173 1/kkg Treatment Facilities The wastewater treatment facility at the plant is quite extensive and includes the following operations: 69 ------- primary settling grease removal air flotation aerated lagooning (8 day retention time) - final clarification sand filtration chlorination The treated effluent is discharged to a nearby creek, 70 ------- FROZEN BAKERY PRODUCTS Plant Code: G Location: Midwest Category: 2 Products: Complete assortment of frozen bakery products Bakery Items: cakes, pies, rolls, pastries, cookies. Significant Ingredients (used during sampling period) Processed at Plant Pre-Processed Elsewhere None Flour Chocolate Butter Milk Shortening Eggs Sugar Flavorings Fruits - Salt A simplified schematic diagram of plant operations is shown in Figure A-5. Sampling Procedure An automatic sampler was used to collect ten 24-hour, time interval composite samples of the raw wastewater at the surge tank immediately preceding the pre-treatment unit. Wastewater Characteristics Combined Process and Clean-Up Wastewater (24 Hour Composites)* Total Grease COD BOD SS VSS P TKN & Oil Avg. Cone. (mg/1) 4,600 2,100 1,300 1,200 7.8 27 940 Range of Cone. 3,000- 1,700- 730- 710- 4,1- 14- 500- (mg/1) 6,000 2,400 1,600 1,500 12 42 1,500 *Ten samples pH ranges 4.5-6.2 71 ------- INGREDIENTS STORAGE SCALING DEPOSITING BAKING PLANT CLEAN-UP COOLING FINISHING PACKAGING FREEZING SHIPPING FIGURE A-5 PLANT G FROZEN BAKERY PRODUCTS PLANT SIMPLIFIED PROCESS FLOW DIAGRAM (heavy arrow designates major wastewater generating operations) 72 ------- Production Factors Based upon daily wastewater volumes, production data supplied by the plant, and quality characteristics of the wastewater, the following production factors were calculated. PRODUCTIVITY FACTORS Combined Process and Clean-Up Wastewaters Average kg/kkg Range kg/kkg Constituent finished product finished product COD 52 31-83 BOD 23 17-29 SS 14 7.5-21 VSS 14 7.3-20 Total P 0.082 0.045-0.11 - TKN 0.30 0.15-0.59 Grease & Oil 11 5.2-15 Wastewater Generation 11,000 (1/kkg finished product) 1 Ib/ton =0.5 kg/kkg 1 gallon/ton = 4.173 1/kkg Pre-Treatment Facilities Pre-treatment at the bakery consists of settling for removal of solids. 73 ------- FROZEN BAKERY PRODUCTS Plant Code: H Location: Midwest Category: 2 Products: Complete assortment of frozen bakery products Bakery items: pies, cakes, pastries, rolls, bread. Significant Ingredients Processed at Plant Pre-Processed Elsewhere None Flour Fruits Milk Chocolate Eggs Flavorings Butter Spices Shortening Nuts Oil Sugar Sampling Procedure An automatic sampler was used to collect eight daily, time interval composite samples of the raw wastewater at the inlet to the wastewater treatment facility. Wastewater Characteristics Combined Processing and C.lean-Up Wastewater (7 a.m. - 11:30 p.m.)* Total Grease COD BOD SS VSS P TKN & Oil Avg. Cone. (mg/1) 9,300 4,300 3,071 2,991 5.7 44.7 688 Range of i Cone. 4,600- 2,700- 800- 780- 2.1- 3.2- 350- (mg/1) 23,000 8,000 12,000 12,000 12 83 1,400 *Eight samples ph range: 4.3-5.7 Productivity Factors This plant was the only one investigated that did not cooperate in supplying production data. Thus no waste- 74 ------- water productivity factors could be calculated. Pre-Treatment Facilities Pre-treatment at this bakery consists of activated sludge and clarification for removal of BOD and solids. The effluent is discharged to the city sewer. 75 ------- SALAD DEESSINGS AND OILS Plant Code: I Location: West Category: 3 Products: Sauces, dressings, and oils Barbecue sauces, shortening, margarine and vegetable oil, jellies and toppings, drink bases, processed cheese, marshmellows, mustard. Significant Ingredients (used during sampling period) Processed at Plant Pre-Processed Elsewhere Mustard seed Marshmellows Vegetable oil Fruits Chocolate Cheese Milk Vinegar Salt Sugar Seasonings Spices A simplified schematic diagram of plant operations is shown in Figure A-6. Sampling Procedure Ten 24-hour time interval composite samples of the raw plant wastewater were taken by plant personnel. The samples were collected at the inlet to the plant waste- water treatment facility. Watewater Characteristics Combined Process and Clean-Up Wastewaters (24 Hour Composites)* Avg. Cone. Cmg/1) Range of Cone. (mg/1) Total COD BOD SS VSS P TKN 4,900 2,300 1,000 960 16 15 3,200- 1,100- 420- 420- 2.3- 8.1- 8,400 4,000 1,400 1,300 24 33 Grease & Oil 1,300 1,100- 1,300 *Ten samples pH range: 6.1-9.0 76 ------- DRINK BASE B^^H SUGAR FLAVORINGS JELUNDTOPPING PARED ELSEWHERE) SUGAR, PEETIN, ACID H MILK- CHOCOLATE FLAVORINGS DRESSINGS^AND SAUCES VINEGAR FLAVORINGS OILS ^ARSHMELUWS SUGAR WATER /lUSTARD MARGARINE^ND^SHORTEN ING VEGETABLE OIL SALT FLAVORINGS COLORING Ji-L OIL (PRE-PROCESSED ELSEWHERE) :HEES NATURAL CHEESE (PREPARED ELSE- WHERE) FLAVORINGS MUSTARD SEED MIL PLANT CLEAN-UP VINEGAR 1 SPICES .LING """ MIXING BOTTLING STORAGE FIGURE A-6 PLANT I SALAD DRESSING a SAUCE PLANT SIMPLIFIED PROCESS FLOW DIAGRAM (HEAVY ARROW DESIGNATES MAJOR WASTEWATER PRODUCING OPERATION) ------- Productivity Factors Based on daily metered wastewater flows, wastewater qual- ity characteristics, and production data supplied by the plant, the following productivity factors were calculated. PRODUCTIVITY FACTORS Combined Process and Clean-Up Wastewaters Average kg/kkg Range kg/kkg Constituent finished product finished product COD BOD SS VSS Total P TKN Grease & Oil 12 5.6 2.6 2.4 0.039 0.036 3.1 0 0 5.4-20 2.4-9.0 1.0-3.7 1.0-3.1 .010-0.067 .019-0.069 1.9-3.9 Wastewater Generation 2,600 1,800-3,200 (1/kkg finished product) 1 Ib/ton =0.5 kg/kkg 1 gallon/ton = 4.173 1/kkg Pre-Treatment Facilities Wastewater pre-treatment at this food plant consists of gravity settling for solids removal and skimming for removal of grease and floatables. The final effluent is discharged to the municipal sewer. 78 ------- DRESSINGS, SAUCES, AND PIE FILLINGS Plant Code: J Location: Northern California Category: 3 Products: Dressings, sauces and pie fillings Dressings: bleu cheese, French, green goddess, Italian, thousand island, mayonnaise, cole slaw. Sauces: taco, tarter, barbecue. Significant Ingredients (used during sampling period) Processed at Plant Pre-Processed Elsewhere None Worcestershire sauce Seasonings Oil Red pepper Salt Tomatoes Cheeses Vinegar A simplified schematic diagram of plant operations is shown in Figure A-7. Sampling Procedure An automatic sampler was used to collect ten time inter- val composite samples of the raw wastewater from the surge tank proceeding discharge to the sewer. Five samples of the process shift (8:00 a.m.-4:00 p.m.) and five samples of the clean-up shift (4:00 p.m.-12 midnight) were taken. Wastewater Characteristics 79 ------- RAW INGREDIENTS (LIQUID) PRE MIX FILL _ FINAL "PRODUCT COOK PLANT CLEAN-UP I NOTE HEAVY ARROW DESIGNATES MAJOR LIQUID WASTE GENERATION FIGURE A-7 PLANT J SALAD DRESSING PLANT SIMPLIFIED PROCESS FLOW DIAGRAM 80 ------- Process Shift Wastewater* (8 a.m. - 4 p.m.) Total Grease COD BOD SS VSS P TKN & Oil Avg. Cone. (mg/1) 3,100 2,000 880 870 2.0 11 2,100 Range of Cone. 1,200- 750- 430- 420- 0.25- 2.2- 930- (mg/1) 4,500 3,000 1,300 1,200 5.4 19 3,900 *Five samples pH range: 4.2-4.9 Clean-Up Shift Wastewater* (4 p.m. - 12 midnite) Total Grease COD BOD SS VSS P TKN & Oil Avg. Cone. (mg/1) 5,700 4,000 1,900 1,900 9.2 14 3,200 Range of Cone. 4,100- 2,800- 1,400- 1,400- 6.9- 2.9- 2,100- (mg/1) 7,500 5,200 2,500 2,500 12 28 4,900 *Five samples pH range; 6.1-9.3 Productivity Factors Based upon average wastewater volumes generated during the process and clean-up shifts, quality characteristics of the wastewater, and production data supplied by the plant, the following production factors were calculated for the process shift, the clean-up shift, and the total effluent. 81 ------- PRODUCTIVITY FACTORS Average kg/kkg Finished Product Total COD BOD SS VSS P TKN G&O W.W. Process Shift 4.6 3.0 1.3 1.3 0.0030 0.016 3.2 1,500 Clean-Up Shift 9.1 6.4 3.0 3.0 0.015 0.022 5.1 1,600 Total Daily Operation 14 9.4 4.4 4.4 0.018 0.038 8.3 3,100 ^-Wastewater Generation in 1/kkg finished product. 1 Ib/ton =0.5 kg/kkg 1 gallon/ton = 4.173 1/kkg Pre-Treatment Facilities There is no pre-treatment at the plant. All wastewater discharges into a small surge tank and then to the sewer. 82 ------- MEAT SPECIALTIES Plant Code: K Location: West Category: 4 Products: Fresh frozen and pre-cooked meats: beef patties, canned turkey, Salisbury steak, breaded veal patties, pork patties, canned chicken. Significant Ingredients (used during sampling period) Processed at Plant Pre-Processed Elsewhere None Beef Salt Turkey Soy Protein Flour Seasonings A simplified schematic diagram of plant operations is shown in Figure A-8. Sampling Procedure An automatic sampler was used to take nine time interval samples of the combined raw processing and clean-up wastewater out of a final grease trap. Wastewater Characteristics Combined Process and Clean-Up Wastewaters (9 a.m. - 11 p.m.) * Total Grease COD BOD SS VSS P TKN & Oil Avg. Cone. (mg/1) 900 530 210 170 15 28 120 Range of Cone. 510- 290- 56- 40- 1.0- 9.5- 12- (mg/1) 1,700 860 430 370 38 56 400 *Nine samples pH range: 6.2-7. 6 83 ------- Portion Control Line additives Meat (prepared else where, frozen) soy protein mixing grinding packaged freeze^ package 00 yp>r] p.lsp grinding mixing canning cooking casing Turkey (prepared where, deboned) PLANT CLEAN UP FIGURE A-8 PLANT K MEAT PATTY PREPARATION AND CANNING PLANT SIMPLIFIED PROCESS FLOW DIAGRAM (heavy arrow designates major wastewater producing operations) ------- Productivity Factors Based upon average daily wastewater volumes and quality characteristics, and production figures provided by the plant, the following productivity factors were calculated. PRODUCTIVITY FACTORS Combined Process and Clean-Up Wastewaters Average kg/kkg Constituent finished product COD BOD SS VSS Total P TKN Grease & Oil 5.1 3.0 1.2 0.97 0.086 0.16 0.68 Wastewater Generation 5,700 (1/kkg finished product) 1 gallon/ton = 4.173 1/kkg 1 Ib/ton =0.5 kg/kkg Pre-Treatment Facilities Wastewater pre-treatment equipment at this canned meat plant consists merely of a grease trap. 85 ------- CANNED MEAT SPECIALTIES Plant Code: L Location: Midwest Category: 4 Products: Canned meat products: potted meat, Vienna sausage, beef stew, hash, chile, pork brains, lobster bisque, crab. Significant Ingredients (used during sampling period) Processed at Plant Pre-Processed Elsewhere Sausage (mixing, Meat (initial butchering) filling, cooking) Lobster Vegetables Meat (cutting, Crab Potatoes deboning, Beans Sauces cooking) A simplified schematic diagram of plant operations is shown in Figure A-9. Sampling Procedure An automatic sampler was installed at the inlet to the wastewater settling tanks and collected nine, time interval composite samples of the total plant effluent and one composite sample of the late shift clean-up operation. Wastewater Characteristics Combined Process and Clean-Up Wastewater* (6;30 am - 11 pm) Avg. Cone. (mg/1) Range of Cone. (mg/1) COD 2,300 1,300- 3,300 BOD 1,100 600- 1,400 SS 720 140- 1,200 VSS 670 140- 1,100 Total P 6.7 3.0- 20 TKN 67 51- 100 Grease & Oil 490 100- 970 *Nine samples pH range* 5.5-8.0 86 ------- FROZEN RAW INGREDIENTS FRESH RAW INGREDIENTS FREEZING TEMPER /THAW BLEND MIX REHYDRATE FILLING COOKING STORAGE COOLING PLANT CLEAN-UP FIGURE A-9 PLANT L CANNED MEAT PLANT SIMPLIFIED PROCESS FLOW DIAGRAM (HEAVY ARROWS DESIGNATE MAJOR WASTEWATER GENERATING OPERATIONS) 87 ------- Clean-Up Wastewater (11 p.m. - 6:30 a.m.)* Total Grease COD BOD pH SS VSS P TKN & Oil Concentration (mg/1) 2,300 680 8.4 800 760 11 47 670 *0ne sample Based on daily wastewater volumes, wastewater quality characteristics from the lab, and production data supplied by the plant, the following productivity factors were calculated. PRODUCTIVITY FACTORS Combined Process and Clean-Up Wastewaters Average kg/kkg Range kg/kkg Constituent finished product finished product COD BOD SS VSS Total P TKN Grease & Oil Wastewater Generation (1/kkg finished product) 33 16 11 10 0.11 0.98 7.3 15,000 22-59 7.7-28 5.3-26 5.1-24 0.030-0.45 0.52-1.8 1.9-22 9,100-23,000 1 Ib/ton =0.5 kg/kkg 1 gallon/ton = 4.173 '1/kkg Pre-Treatment Facilities Pre-treatment at this canned meat plant consists of aeration and settling for removal of BOD and solids. The effluent is discharged to the city sewer. 88 ------- BABY FOODS Plant Code: M Location: West Category: 5 Products: Strained and junior baby foods: vegetables and meat products, cereal, vegetables, fruit desserts, fruits, fruit juices, starch products, starch and meat products. Significant Ingredients (used during sampling period) Processed at Plant Pre-Processed Elsewhere Peaches, (pealed, Fruit Meat Starch cored, sliced, mashed, cooked) Bananas Chicken Spaghetti Pineapple Plums Dairy Cottage Cheese A simplified schematic diagram of plant operations is shown in Figure A-10. Sampling Procedure An automatic sampler was used to collect 10 daily time interval composite samples of the raw waste at the inlet to the pre-treatment units. Wastewater Characteristics Combined Process and Clean-Up Wastewaters* (8 a.m.,- 9 p.m.) Total COD BOD pH SS VSS P TKN Avg. Cone. (mg/1) 1,000 590 280 210 4.1- 12 Range of Cone. 410- 200- 4.3- 110- 100- 1.9- 2.6- (mg/1) 1,700 860 9.2 440 260 7.6 50 *Ten samples 89 ------- PLANT CLEAN-UP RAW r 1 WA^HIMC 1 nn ivr 1 WAOI»"'» ' noiiiiMVj I * UK LTL * 1 WASHING 1 » ETC. ) ' FRUIT LINE NNAL I COOKING 1 PULPER/ r 1 PIT PRODUCT 1 J FINISHER | REMOVAL INSPECTION DO T BtLI 1 RAW t t VFRFTARI Ffi ~ (POTATOES, CARROTS, ETC.) FINAL PRODUCT FROZEN ^-1 G \jL/AOI.IIMft 1 » TURKE STE OR PEE AM vc LT t LING 1 WAollllNO 1 * INSPECTION BELT iY- VEGETABLE LINE UUUKINo 1 * F7iMniMf; 1 . IPRF I :OOK FINISHER BLANCH ING NOTE HEAVY ARROW DESIGNATES MAJOR LIQUID WASTE GENERATION FIGURE A-IO PLANT M BABY FOOD PLANT SIMPLIFIED PROCESS FLOW DIAGRAM (2 LINES) 90 ------- Productivity Factors Based upon average daily wastewater volumes, raw ingred- ient consumption data supplied by the plant, and quality characteristics of the wastewater, the following produc- tion factors were calculated. PRODUCTIVITY FACTORS Combined Process and Clean-Up Wastewaters Average kg/kkg Range kg/kkg Constituent raw product raw product COD BOD SS VSS Total P TKN Wastewater Generation (1/kkg raw product) 14 8.5 4.3 3.1 0.068 0.19 15,000 7.3-24 3.5-16 1.8-7.7 1.6-4.7 0.021-0.13 0.039-0.75 8,800-24,000 1 Ib/ton =0.5 kg/kkg 1 gallon/ton = 4.173 1/kkg Pre-Treatment Facilities Pre-treatment at this baby food plant consists of vibra- tory screening to remove larger solids such as leaves, pits, etc. 91 ------- CANNED SOUPS Plant Code: N Location: Midwest Category: 5 Products: Soups, bean products, juices (tomato, cock- tail vegetable), macaroni products, spaghetti products, sauces, gravies, stews (beef, chicken), chili, puddings. Significant Ingredients Processed at Plant Pre-Processed Elsewhere Poultry (cutting, deboning, cooking) Meat, fish (cutting, cooking) Meat,fish, poultry (initial butchering) Vegetables Spices Dairy products Salt Eggs Sugar Flour Fats Starches Oils Spaghetti Noodles Sampling Procedure Eight 24-hour composite samples were collected at the inlet to the plant wastewater treatment facility. In addition, two time interval composite samples were taken during the clean-up shift only (12 midnight - 7:00 a.m.) . Wastewater Characteristics Combined Process and Clean-Up Wastewaters (24 Hour Composites)* COD BOD ss Total Grease VSS P TKN & Oil Avg. Cone. (mg/1) Range of Cone. (mg/1) 940 760- 1,200 520 420- 610 360 210- 840 290 200- 660 10 4.3- 21 26 17- 46 82 64- 120 *Eight samples pH range: 6.6-10.5 92 ------- Clean-Up Wastewater (12 midnite to 7:00 a.m.)* Avg. Cone. (mg/1) Range of Cone. (mg/1) COD 770 510- 1,000 BOD 410 260- 570 SS 380 290- 470 VSS 290 200- 370 Total P 17 16- 18 TKN 41 38- 44 Grease & Oil 220 76- 360 *Two samples pH range? 11.8-11.8 Productivity Factors Based on metered daily wastewater flows, wastewater qual- ity characteristics, and average daily raw ingredient consumption data supplied by the plant, the following productivity factors were calculated. PRODUCTIVITY FACTORS Combined Process and Clean-Up Wastewaters Average kg/kkg raw Constituent product COD BOD SS VSS Total P TKN Grease & Oil Wastewater Generation (1/kkg raw product) 27 15 10 8.4 0.29 0.75 2.4 29,000 1 Ib/ton =0.5 kg/kkg 1 gal/ton = 4.173 1/kkg 93 ------- Treatment Facilities The wastewater treatment facilities consist of the fol- lowing operations: bar screening gravity grit removal air flotation (with chemical coagulation) primary trickling filter treatment clarification secondary trickling filter treatment aerated lagooning final clarification chlorination anaerobic sludge digestion The treated effluent is discharged to a river. 94 ------- TOMATO-CHEESE-STARCH COMBINATIONS Plant Code: 0 Location: Midwest Category: 6 Products: Tomato-cheese-starch combinations (Institutional): chili with beans, veal parmagiana, beef ravioli, grilled american cheese, macaroni and cheese, salads. Significant Ingredients (used during sampling period) Processed at Plant Pre-Processed Elsewhere Various salad Juices Dressings components Spices Lettuce (blanching) Meat Bread Kidney beans Margarine Tomatoes Macaroni Cheese Milk Flour A simplified schematic diagram of plant operations is shown in Figure A-11. Sampling Procedure Ten 24-hour composite samples of the screened raw waste were collected by the plant staff prior to the wastewater treatment facilities. Wastewater Characteristics Combined Process and Clean-Up Wastewaters (24 Hour Composites)* Avg. Cone. (mg/1) Range of Cone. (mg/1) COD 500 79- 1,500 BOD 240 20- 760 pH 8.7- 11.0 SS 180 62- 400 VSS 150 42- 390 Total P 10 4.9- 16 TKN 7.6 3.0- 14 *Ten samples 95 ------- SALADS CANNED COMPONENTS DRESSING COLORING , JUICE, SPICES LETTUCE VEGETABLES CHILE WITH BEANS MEAT- FILLING FREEZE SPICES, TOMATO PASTE, KIDNEY WATER 7 BEANS | COOKING_j-Lj FILLING FREEZE VEAL PARMAGIANA MEAT -j GRINDING - { MIXING f FORM -j BATTER PATTIES TOMATO PASTE SLURRY SPICE, BEEF RAVIOLI CHEESE TOMATO SA GRILLED CHEESE ING j BREADING -^ FRYING C E . COOKING ' *" f, t DOUGH V PODS * COOKING UCE f % ) A 3 i FREEZE \ ^/ PLANT CLEAN - UP CHEESE MARGARINE JdACARONI AND CHEESE CHEESE SAUCE MACARONI COOKING COOKING ~ RINSING BLENDING >- FILLING -*. FREEZE FIGURE A-ll PLANT 0 TOMATO-CHEESE-STARCH PRODUCTS PLANT SIMPLIFIED PROCESS FLOW DIAGRAM (HEAVY ARROW DESIGNATES MAJOR WASTEWATER GENERATING OPERATIONS) 96 ------- Productivity Factors Based upon daily wastewater volumes, production data supplied by the plant, and quality characteristics of the wastewater, the following productivity factors were gen- erated. PRODUCTIVITY FACTORS Combined Process and Clean-Up Wastewaters Average kg/kkg Range kg/kkg Constituent finished product finished product COD BOD SS VSS Total P TKN w.w. (i) 39 19 14 13 0.79 0.59 80,000 4.7-110 2.2-54 2.4-31 1.6-28 0.42-1.7 0.14-1.3 39,000-134, 000 1 Ib/ton =0.5 kg/kkg 1 gal/ton = 4.173 Wastewater generation (1/kkg finished product) Pre-treatment Facilities Wastewater pre-treatment at the plant consists of ex- tended aeration. At present, production levels, are so low that treatment facility performance is not represen- tative of what it will be under design loadings. The plant is considering shutdown of their treatment opera- tion until such time as the production levels become large enough to economically justify its operation. 97 ------- TOMATO-CHEESE-STARCH COMBINATIONS Plant Code: P (Historical Data Only) Location: West Category: 6 Products: Tomato-cheese-starch combinations (canned): chili con carne, meat balls with gravy, spaghetti (with meat balls, with cheese), ravioli (beef, cheese), stew (beef, meat ball), tomato pastes, tomato sauce (with meat, with mushrooms), lasagne, manicotti, beefaroni. Significant Ingredients (used during sampling period) Processed at Plant Pre-Processed Elsewhere None Tomatoes (processed at plant during tomato season) Beef Vegetables Cheese Seasonings Flour Mushrooms Cereals Sampling Procedure An automatic sampler was used to collect six 24-hour flow proportional samples of the raw plant wastewater. All the effluent was discharged from the kitchen opera- tion as no tomatoes were being processed. The samples were collected during the period of 7/6/72- 7/17/72. Wastewater Characteristics Combined Process and Clean-Up Wastewater (24 Hour Composites)* BOD pH TS1 TKN Average Cone. (mg/1) 340 920 12 Range of (mg/1) Cone. 210- 420 6. 7. 9- 8 1 750- ,100 6. 20 5- *Six samples iTotal Solids 98 ------- Productivity Factors Based on daily wastewater flow measurements, wastewater quality characteristics from the lab, and average daily production data supplied by the plant, the following productivity factors were calculated. PRODUCTIVITY FACTORS Kitchen Operation (No Tomato Processing) Combined Process and Clean-Up Wastewaters Average kg/kkg Constituent finished product BOD 3.3 Total Solids 9.0 TKN 0.12 Wastewater Generation 9,800 (1/kkg finished product) 1 Ib/ton =0.5 kg/kkg 1 gallon/ton = 4.173 1/kkg Pre-Treatment Facilities Wastewater treatment at the plant consists of screening and aeration, followed by retention in stabilization ponds. The final effluent is chlorinated and discharged to a creek. 99 ------- TOMATO-CHEESE-STARCH COMBINATIONS Plant Code: Q Location: East Category: 6 Products: Tomato-cheese-starch combinations: lasagne, ravioli, spaghetti, pizza. Significant Ingredients (used during sampling period) Processed at Plant Pre-Processed Elsewhere None Beef Seasonings Pork Cheese Flour Tomato Milk Green pepper Oil Onion Sampling Procedure An automatic sampler was used to collect eight 24-hour, time interval composite samples of the raw plant waste- water. The samples were taken just upstream from the plant's wastewater screening operation. Wastewater Characteristics Combined Process and Clean-Up Wastewater (24 Hour Composites)* Total Grease COD BOD SS VSS P TKN & Oil Avg. Cone. (mg/1) 340 200 130 120 2.0 5.6 180 i Range of Cone. 150- 79- 50- 50- 0.50- 0.20- 13- (mg/1) 560 300 240 240 4.2 11 380 *Five samples pH range: 6.1-7.6 100 ------- Productivity Factors Based upon average daily wastewater volumes, production data supplied by the plant/ and wastewater quality char- acteristics from the lab, the following productivity factors were calculated. PRODUCTIVITY FACTORS Combined Process and Clean-Up Wastewaters Average kg/kkg Constituent finished product COD 8.8 BOD 5.2 SS 3.4 VSS 3.1 Total P 0.052 TKN 0.15 Grease & Oil 4.7 Wastewater Generation 26,000 (1/kkg finished product) 1 Ib/ton =0.5 kg/kkg 1 gallon/ton = 4.173 1/kkg Pre-Treatment Facilities Pre-treatment at this plant consists merely of screening for solids removal prior to discharge to the city sewer. 101 ------- TOMATO-CHEESE-STARCH COMBINATIONS Plant Code: R Location: East Category: 6 Products: Tomato-cheese-starch Combinations: lasagne, pizza, eggplant parmigiana. Significant Ingredients (used during sampling period) Processed at Plant Pre-Processed Elsewhere Eggplant (washed, Beef Cheese peeled, sliced) Flour Tomato Milk Onion Oil Green pepper Seasonings A simplified schematic diagram of plant operations is shown in Figure A-12. Sampling Procedure An automatic sampler was used to collect ten time inter- val, composite samples of the raw plant wastewater just prior to discharge into the municipal sewer system. Wastewater Characteristics Combined Process and Clean-Up Wastewaters (8 a.m. - 5 p.m.) * Total COD BOD SS VSS P TKN Avg. Cone. (mg/1) 1,450 690 360 330 6.0 34 Range of Cone. 400- 180- 85- 65- 1.6- 15- (mg/1) 5,400 3,000 1,500 1,300 18 110 *Ten samples pH range: 5.5-7.7 102 ------- Raw Eggplant Washing Peeling Washing Flour Beef (pre-processed elsewhere) i I Shortening Combining Dough Preparation Slicing sauces- cheese- spices Combining Packaging Plant Clean-up Freezing FIGURE A-12 PLANT R TOMATO-CHEESE-STARCH PRODUCTS PLANT SIMPLIFIED PROCESS FLOW DIAGRAM (heavy arrows designate major wastewater generating operations) 103 ------- Productivity Factors Based upon average daily wastewater volumes, raw material consumption data supplied by the plant, and wastewater quality characteristics from the lab, the following pro- ductivity factors were calculated. PRODUCTIVITY FACTORS Combined Process and Clean-Up Wastewaters Average kg/kkg Constituent raw product COD 2.6 BOD 1.2 SS 0.65 VSS 0.59 Total P 0.011 TKN 0.061 Wastewater Generation 1,800 (1/kkg raw product) 1 Ib/ton =0.5 kg/kkg 1 gallon/ton = 4.173 1/kkg Pre-Treatment Facilities At present, there is no wastewater pre-treatment at this food plant. 104 ------- SAUCED VEGETABLES Plant Code: S Location: West Category: 7 Products: Vegetables Processed: cauliflower (bulk; with cheese sauce), brussel sprouts (bulk; with butter sauce) , spinach (bulk; with butter sauce) , broccoli (bulk; with butter sauce; with cheese sauce). Repackaged: corn, peas, green beans, lima beans. Significant Ingredients (used during sampling period) Processed at Plant Pre-Processed Elsewhere Broccoli Butter Cheese Cauliflower Shortening Salt Sugar A simplified schematic diagram of plant operations is shown in Figure A-13. Sampling Procedure An automatic sampler was used to obtain ten time inter- val, 24 hour composite samples of the raw waste prior to vibratory screening at the food plant. In addition, three grab samples of the sauce room clean- up wastewater were manually collected. Wastewater Characteristics Combined Process and Clean-Up Wastewaters (24 Hour Composites)* Avg. Cone. (mg/1) Range of Cone. (mg/1) COD 560 380- 890 BOD 310 140- 550 pH 7.0- 7.7 SS 250 170- 410 VSS 200 130- 360 Total P 4.4 1.9- 9.9 TKN 13 5.1- 27 *Ten samples 105 ------- PLANT CLEAN-UP t RAW PRODUCE (BROCOLLI, CAULIFLOWER, BRUSSEL SPROUTS, SPINACH ) REMOVAL OF UNWANTED LEAVES CORES, ETC. ₯ Y ,-r-rii^n 1 UJMING 1 * WASHING BLANCHING | RECIRCULATION _J WATER TRANSPORT flNAL - fVr, ,-,--,. i.Tl , PRODI NOTE HEAVY ARROW DESIGNATES MAJOR LIQUID WASTE GENERATION Dl ITTCTD . LJLJ 1 1 Ln cHORTFNING puppop SALT SUGAR SAUCE ADDITION ... rooi INC * COOKING SAUCE > ROOM OPERATION CLEAN-UP I FIGURE A-13 PLANT S SAUCED VEGETABLE PLANT SIMPLIFIED PROCESS FLOW DIAGRAM 106 ------- Sauce Room Clean-Up Wastewater (Grab Samples)* Total COD BOD SS VSS P TKN Avg. Cone. (mg/1) 14,000 8,052 3,340 3,078 227 104 Range of Cone. 3,400- 2,200- 1,000- 1,000- 130- 14- (mg/1) 28,000 16,000 5,600 5,100 280 160 *Three samples pH range: 10.9-11.9 Productivity Factors Based upon daily and clean-up wastewater volumes, pro- duction factors supplied by the plant, and wastewater characteristics from the lab, the following productivity factors were generated. PRODUCTIVITY FACTORS Combined Process and Clean-Up Wastewaters Average,kg/kkg Range kg/kkg Constituent finished product finished product COD 45 16-76 BOD 25 7.1-47 SS 21 7.0-44 VSS 16 6.0-30 Total P 0.33 0.12-0.53 TKN 1.1 0.31-2.9 Wastewater Generation 85,000 38,000-160,000 (1/kkg finished product) 1 gallon/ton = 4.173 1/kkg 1 Ib/ton =0.5 k/kkg The table on the following page shows the portion of total kg/kkg production contributed by clean-up of the sauce room where all the dairy operations are performed (e.g., cheese sauce and butter sauce preparation). 107 ------- Sauce Room Clean-Up Wastewater Average kg/kkg % of total Constituent finished product pollutant load COD 6.4 15 BOD 3.5 14 SS 1.4 7 VSS 1.3 8 Total P 0.090 27 TKN 0.047 4 Wastewater generation 490 0.6 (1/kkg finished product) Pre-Treatment Facilities Pre-treatment at the sauced vegetable plant consists of 20 mesh vibratory screening for removal of solids. 108 ------- SWEET SYRUP PRODUCTS Plant Code: T Location: East Category: 8 Products: Sweet syrup^products: chocolate and cocoa products, ready mixed desserts, syrups, whipped toppings, coconut based products, tapioca. Significant Ingrients (used during sampling period) Processed at Plant Pre-Processed Elsewhere Rice Fats and oils Chocolate Flavorings Cocoa Milk powder Syrups Syrups Starches Coconut Sugar A simplified plant wastewater flow diagram is shown in Figure A-14. Sampling Procedure An automatic sampler was used to collect six 24-hour com- posite samples of the total raw effluent and two 24-hour composite samples of the raw rice processing wastewater. In addition, two grab sample composites of the rice wastewater treatment plant effluent were taken. Sampling locations are noted in Figure A-14. Wastewater Characteristics Total Plant Wastewater (24 Hour Composites*) Total Grease COD BOD pH SS VSS P TKN and Oil Avg. Cone. (mg/1) 2,000 1,100 470 410 28 21 230 Range of Cone. 1,800- 920- 5.9- 350- 340- 20- 14- 170- (mg/1) 2,300 1,600 7.4 620 480 38 35 280 *Six samples 109 ------- RICE OPERATION RICE WASTEWATER SAMPLING STREAM A STREAM B RICE WASTEWATER TREATMENT PLANT RICE WASTEWATER TREATMENT PLANT SAMPLING WHIPPED TOPPING OPERATION CHOCOLATE OPERATION DESERTS OPERATION SYRUP OPERATION TOTAL PLANT EFFLUENT SAMPLING COCONUT OPERATION FIGURE A-14 PLANT T CHOCOLATE AND CANDY PLANT SIMPLIFIED WASTEWATER FLOW DIAGRAM ------- Raw Rice Processing Wastewater (24 Hour Composites*) Total Grease COD BOD SS VSS P TKN and Oil Avg. Cone. (rag/1) Range of Cone. (mg/1) 4, 3, 4, 000 600- 400 3, 2, 3, 000 400- 600 3, 2, 3, 100 900- 300 3 2 3 ,000 ,900- ,200 32 27- 38 29 26- 31 10 0.7- 20 *Two samples pH ranges 6.6-6.8 Rice Wastewater Treatment Plant Effluent (24 Hour Composites*) COD Avg. Cone. (mg/1) 340 Range of Cone. 260- (mg/1) 420 *Two samples Productivity BOD pH 34.5 16- 5.7- 53 6.4 Factors SS 320 210- 440 Total VSS P 240 110 180- 100- 300 110 TKN 24 12- 35 Grease and Oil 4.4 0.9- 7.9 Based on wastewater volume generated during sampling periods, wastewater quality characteristics from the lab analysis, and production data furnished by the plant, the following productivity factors were calculated for (1) the raw rice processing wastewater, (2) rice waste- water treatment plant effluent, (3) all operations ex- cept the rice, and (4) the. total plant effluent. Pre-Treatment Facilities Pre-treatment facilities consist of screening, settling, and activated sludge for removal of BOD and solids. The treatment plant effluent is discharged to the city sewer. ------- Productivity Factors Average k/kkg Finished Product COD BOD SS VSS Raw rice processing wastewater 0.48 0.36 0.37 0.36 Rice wastewater treatment plant effluent 0.20 0.021 0.19 0.14 All process and clean-up except rice operation 4.7 2.6 0.74 0.60 Total plant efflu- ent 5.4 3.0 1.3 1.1 Total P 0.0038 0.067 0.0052 0.076 TKN 0.0035 0.014 0.040 0.057 Grease and Oil 0.0012 0.0026 0.62 0.62 Waste- water1 120 600 2,000 2,700 "-Wastewater generation in 1/kkg finished product ------- JAMS AND JELLIES Plant Code: U Location: West Category: 8 Products: Jams, jellies, preserves, apple butter, peach butter, toppings, syrups Significant Ingredients (used during processing period) Processed at Plant Pre-Processed Elsewhere None Strawberries Corn syrup Oranges Carmel Pineapples Butterscotch Cherries Chocolate Peaches Pectin Plums Sugar Grapes Acid Blackberries Apricots Red raspberries Blueberries A simplified schematic diagram of plant operations is shown in Figure A-15. Sampling Procedures An automatic sampler was used to take eight 24-hour time interval composite samples of the raw plant wastewater at the final manhole before discharge to the city sewer. Wastewater Characteristics Combined Process and Clean-up Wastewaters (24 Hour Composites*) Avg. Cone. (mg/1) Range of Cone. (mg/1) 6 3 8 COD ,100 ,600- ,400 3 2 4 BOD ,600 ,200 ,700 PH 4.8- 7.0 SS 340 170- 780 VSS 300 150- 700 Total P 9 2 .6 .6- 26 TKN 15 6.4- 36 *Eight samples 113 ------- Fruit (Preprocessed Elsewhere) sugar corn syrup pectin acid Mixing Vacuum Cooking Plant Clean-up Fillincr Steam Sterilization Cooling Labeling Packaging FIGURE A-15 PLANT U JAMS AND JELLIES PLANT SIMPLIFIED PROCESS DIAGRAM (heavy arrow designates major wastewater producing operations) 114 ------- Productivity Factors Based upon average daily wastewater volumes, production data supplied by the plant, and quality characteristics of the wastewater, the following production factors were calculated. Productivity Factors Combined Process and Clean-Up Wastewaters Average kg/kkg Constituent Finished Product COD 12 BOD 7.2 SS 0.68 VSS 0.60 Total P 0.019 TKN 0.030 Wastewater Generation 2,000 (1/kkg finished product) 1 Ib/ton =0.5 kg/kkg 1 gallon/ton = 4.173 1/kkg Pre-Treatment Facilities There is no pre-treatment provided at the food plant. Wastewater is discharged directly to the city sewer sys- tem. 115 ------- CHINESE FOODS Plant Code: V Location: Midwest Category: 9 Products: Chinese foods Mixed vegetables/ chop suey vegetables, chow mein, fried rice, bean sprouts, noodles, water chestnuts, bamboo shoots, won ton soup, egg drop soup, teriyaki sauce, Singapore salad, brown gravy sauce. Significant Ingredients (used during sampling period) Processed at Plant Pre-Processed Elsewhere Bean sprouts (sprouting, Vegetables (except bean washing, blanching) sprouts, celery) Rice (cooking or frying) Chicken, beef (initial Noodles cleaning) Chicken, beef, pork, Shrimp (peeling, cleaning) shrimp (cutting cook- Spices Eggs ing, frying) Seasonings Flour Celery (washing, blanch- ing) A simplified schematic diagram of plant operations is shown in Figure A-16. Sampling Procedure An automatic sampler was used to take nine 24-hour time interval composite samples of the screened plant waste- water at the outlet from the holding tank. Wastewater Characteristics Combined Process and Clean-Up Wastewater (24 Hour Composites*) Total Grease COD BOD pH SS VSS P TKN & Oil Avg. Cone. (mg/1) 830 450 170 160 6.0 26 85 Range of Cone. 760- 380- 5.0- 140- 120- 4.2- 22- 17- (mg/1) 920 590 5.9 210 200 7.4 29 230 *Nine samples 116 ------- Meat Line Beef, Chicken, Shrimp, Lobster (pre-processed elsewhere) bean sprouts celery Assembly Line sauces seasonings Blanching all other vegetables (pre-processed elsewhere) Starch Lines rice Cluster Break-up flour > shortening- Dough Preparation Mixing egg seasonings FIGURE A-16 PLANT V CHINESE SPECIALTIES PLANT SIMPLIFIED PROCESS FLOW DIAGRAM (heavy arrows designate major wastewater generating operations) Plant Clean-up Combining Packaging 1 Freezing 117 ------- Productivity Factors Based upon average daily wastewater volume, wastewater quality characteristics, and production data supplied by the plant, the following productivity factors were cal- culated. Productivity Factors Combined Process and Clean-Up Wastewaters Average kg/kkg Constituent Finished Product COD 12 BOD 6.3 SS 2.4 VSS 2.2 Total P 0.084 TKN 0.36 Grease and Oil 1.2 Wastewater Generation 14,000 (1/kkg finished product) 1 Ib/ton =0.5 kg/kkg 1 gallon/ton = 4.173 1/kkg Pre-Treatment Facilities Pre-treatment consists merely of screening for solids removal. 118 ------- CHINESE FOODS Plant Code: W Location: Midwest Category: 9 Products: Chinese Foods Prepared Dinners: beef chow mein, chicken chow mein, shrimp chow mein, egg foo young. Entrees: Shrimp eggrolls, chicken eggrolls, lobster egg- rolls, meat eggrolls, fried rice with meat, chichen chow mein, shrimp chow mein, beef chow mein, pork chow mein, sweet and sour pork. Miscellaneous: Soy sauce, chow mein vegetables, bean sprouts, noodles. Significant Ingredients (used during sampling period) Processed at Plant Pre-Processed Elsewhere Bean sprouts (sprouting, Beef, pork, chicken (initial washing) cleaning) Rice (cooked) Shrimp, lobster (peeling, Noodles cleaning, cutting) Chicken, beef, pork, Eggs shrimp (cutting, cook- Flour ing or frying) Seasonings Celery (washing, blanch- ing) A simplified schematic diagram of plant operations is shown in Figure A-17. Sampling Procedure An automatic sampler was used to collect nine time inter- val composite samples of the raw plant wastewater from a sump just ahead of the pre-treatment facility. Wastewater Characteristics Combined Process and Clean-Up Wastewaters (8 a.m. - 9 p.m.*) Total Grease COD BOD pH SS VSS P TKN and Oil Avg. Cone. (mg/1) 670 370 220 210 2.3 15 260 Range of Cone. 420- 230- 4.6- 110- 94- 0.04- 7.1- 53- (mg/1) 1,200 600 10.2 490 450 5.1 22 920 *Nine samples 119 ------- MEAT LINE BEEF, CHICKEN, SHRIMP, LOBSTER (PRE-PROCESSED ELSEWHERE) ASSEMBLY LINE ALL OTHER VEGETABLES ( PRE-PROCESSED ELSEWHERE ) FLOUR SHORTENING FIGURE A-17 PLANT W CHINESE SPECIALTIES PLANT SIMPLIFIED PROCESS FLOW DIAGRAM (heavy arrows designate major wastewater generating operations) 120 ------- Productivity Factors Based upon average daily wastewater volume, wastewater quality characteristics, and production data supplied by the plant, the following productivity factors were cal- culated. Productivity Factors Combined Process and Clean-Up Wastewaters Average kg/kkg Constituent Finished Product COD 12 BOD 6.7 SS 4.0 VSS 3.8 Total P 0.041 TKN 0.27 Grease and Oil 4.7 Wastewater Generation 18,000 (1/kkg finished product) 1 Ib/ton =0.5 kg/kkg 1 gallon/ton = 4.173 Pre-Treatment at the Food Plant Pre-treatment consists of screening and dissolved air flo- tation that is enhanced by alum coagulation. Caustic is also added for pH control. The treated effluent is discharged to the municipal sewer. 121 ------- MEXICAN FOODS Plant Code: X Location: West Category: 9 Products: Mexican foods Red taco sauce Red taco sauce Green taco sauce Salsa brava Salsa suprema Salsa Victoria Salsa ranchera Chili chow chow Red salsa jalapena Green salsa jalapena Guacamole dip mix Tomatillo salsa Hot chili mix Cauliflower mix Rajas de jalapenos Jalapenos en esc. Jalapenos en esc. Jalapenos supremos Yellow chilis mex. style Pickled yellow chilis Pickled yellow chilis Pickled yellow chilis Marinated cactus Nopalitos tiernos Nopalitos tiernos Shredded shrimp, dry Significant Ingredients (used during sampling period) Processed at Plant Pre-Processed Elsewhere Beans Cactus Tomatoes Beef Shrimp Spices Chilis A simplified schematic diagram, of plant operations is shown in Figure A-18. Sampling Procedure An automatic sampler was used to take eight samples dur- ing the processing shift, and two samples during the clean- up shift. The samples were taken at the inlet of No. 1 clarifier of the plant treatment facility. Wastewater Characteristics 122 ------- Plant Clean-up Final Product Cactus Line Lye Peeler Vegetable Line Inspection Slicing & Gratina Bean Line Cooking Grindina Material Preprocessed Elsewhere, E.G. Tomato Base, Spices, Etc. Brine or Water Boilers Cooling ! Steam Retorting Main Assembly Line Blanchina Mixing Bottling or Cannina -FIGURE A-18 PLANT X MEXICAN FOODS PLANT SIMPLIFIED PROCESS FLOW DIAGRAM (heavy arrows designate significant wastewater generating operations) 123 ------- Process Wastewater (8 a.m. - 5 p.m.*) Avg. Cone. (mg/1) Range of Cone. (mg/1) COD 1,600 920- 2,500 BOD 1,100 690- 2,000 PH 4.9- 8.3 SS 260 72- 710 vss 170 48- 320 Total P 22 0.60- 160 TKN 31 15- 71 *Eight samples Clean-Up Wastewater (5 p.m. - 11 p.m.*) Avg. Cone. (mg/1) Range of Cone. (mg/1) COD 340 260- 420 BOD 220 170- 280 PH 7.4- 8.3 SS 80 76- 84 VSS 63 58- 68 Total P 60 23- 97 TKN 3.6 2.2- 5.0 *Two samples Productivity Factors Based upon average volume of wastewater generated during processing and during clean-up operations, wastewater quality characteristics from lab analysis, and production figures provided by the plant, the following production factors were calculated for the process shift, the clean- up shift, and the total effluent. Productivity Factors kg/kkg Finished Product Process Clean-Up Total COD 11 0.78 12 BOD 7.3 0.51 7.8 SS 1. 0. 1. 7 18 9 VSS 1. 0. 1. 1 14 2 Total P 0.15 0.14 0.29 Wastewater Generation TKN (1/kkg 0 0 0 .20 .0083 .21 6 2 8 product) ,600 ,300 ,900 1 gallon/ton = 4.173 1/kkg 1 Ib/ton =0.5 kg/kkg 124 ------- Pre-Treatment Facilities Pre-treatment consists of 3 gravity clarifiers for re- moval of suspended solids and floatables. The clarifiers are manually cleaned as required. A large percentage of the suspended solids and floatables are effectively re- moved for disposal as solid waste. 125 ------- BREADED FROZEN PRODUCTS . Plant Code: Y Location: Midwest Category: 10 . Products: Breaded onion rings, breaded mushrooms, breaded perch. Significant Ingredients (used during sampling period) Processed at Plant Pre-Processed Elsewhere Onions (slicing and Perch breading only) Flour Mushrooms (slicing and Eggs breading only) Seasoning A simplified schematic diagram of plant operations is shown in Figure A-19. Sampling Procedure An automatic sampler was used to collect eight 24 hour time interval composite samples of the raw plant waste- water, as well as two composite samples of just the clean-up wastewater. The samples were collected from the final effluent pipe. Wastewater Characteristics Combined Process and Clean-Up Wastewaters (24 Hour Composites*) Total Grease COD BOD SS VSS P TKN & Oil Avg. Cone. (mg/1) 12,000 4,500 7,100 7,100 37 100 360 Range of Cone. 6,100- 2,700- 2,900- 2,900- 15- 70- 130- (mg/1) 19,000 5,600 9,900 9,800 55 120 760 *Eight samples pH range/ 4.6 - 6.5 126 ------- Mushrooms Onions Perch Washing Slicing Batter Application Breading Application Freezing Plant Clean-Up FIGURE A-19 PLANT Y BREADED ONION AND MUSHROOM PLANT SIMPLIFIED PROCESS FLOW DIAGRAM (heavy arrows designate major wastewater generating operations) 127 ------- Clean-Up Wastewaters (12 midnite-3:00 a.m.*) COD Avg. Cone. (mg/1) Range of Cone. (mg/1) 11 10, 12 ,000 600- ,000 BOD 3 3 3 ,500 ,400- ,600 8 7 8 SS ,000 ,500- ,500 VSS 7, 7, 8, 800 400- 500 Total P 63 63- 63 TKN 110 110- 110 Grease & Oil 170 150- 190 *Two samples pH range* 3.1 - 3.2 Productivity Factors Based upon average daily wastewater volume, wastewater quality characteristics, and raw ingredient consumption, data supplied by the plant, the following productivity factors were generated for the process shift, the clean- up shift, and the total effluent. Productivity Factors (kg/kkg Raw Product) Processing Shifts Clean-Up Shift Total Plant Operation COD 19 21 40 BOD 8.4 6.6 15 SS 8.0 15 23 VSS 8.0 15 23 Total P 0 0.12 0.12 TKN 0.12 0.21 0.33 Grease & Oil 0.90 0.32 1.2 ww1 1,400 1,900 3,300 Wastewater Generation in 1/kkg raw product 1 Ib/ton =0.5 kg/kkg 1 gallon/ton = 4.173 1/kkg Pre-Treatment Facilities No treatment is provided before discharge to the city sewer. 128 ------- BREADED FISH AND SHELLFISH Plant Code: Z Location: West Category: 10 Products: Frozen fish and shellfish (with and without breading). Shrimp, scallops, oysters, sole, perch, had- dock, cod. Significant Ingredients (used during sampling period) Processed at Plant Pre-Processed Elsewhere i Shrimp (shell removal, Flour Sole "j cutting, breading) Batter Haddock ( lJ:JfaneT' Fish (cutting, breading Scallops Cod J deboned) only) Shrimp (heads removed) Scallops (breading) A simplified schematic diagram of plant operations is shown in Figure A-20. Sampling Procedure An automatic sampler was used to take eleven daily, time interval composite samples of the raw wastewater from the surge tank just prior to screening. Wastewater Characteristics Combined Process and Clean-Up Wastewaters (7 a.m. - 5 p.m.*) Avg. Cone. (mg/1) Range of Cone. (mg/1) COD 720 270- 1,300 BOD 400 180- 600 Ph 7.1- 8.4 SS 330 48- 730 VSS 320 44- 730 Total P 6.3 0.50- 12 TKN 52 21- 36 *Eleven samples 129 ------- FROZEN FISH OR SHELLFISH THAWING WASHING CUTTING WASHING BATTER APPLICATION BREADING PACKAGING FROZEN STORAGE PLANT CLEAN-UP FIGURE A-20 PLANT Z BREADED FISH AND SHELLFISH PLANT SIMPLIFIED PROCESS FLOW DIAGRAM (heavy arrows designate major wastewater generating operations) 130 ------- Productivity Factors Based upon total wastewater volume during the sampling period, quality characteristics of the wastewater, and raw ingredient consumption data supplied by the plant, the following productivity factors were calculated. Productivity Factors Combined Process and Clean-Up Wastewaters (7 a.m. - 5 p.m.) kg/kkg Raw Constituent Product COD 66 BOD 37 SS 30 VSS 29 Total P 0.58 TKN 4.8 Wastewater Generation 92,000 (1/kkg raw product) 1 Ib/ton =0.5 kg/kkg 1 gallon/ton = 4.173 1/kkg Pretreatment Facilities Pre-treatment at this breaded fish and shellfish plant consists of vibratory screening prior to discharge to the sewer. However, the solids removed by the screen are also discharged to the sewer following grinding. 131 ------- APPENDIX B TYPICAL CALCULATIONS OF PLANT WASTEWATER PRODUCTIVITY FACTORS Three similar methods of calculating productivity factors were used. They depended upon whether or not the plant pro- vided daily figures on wastewater volumes and production tonnages, and whether samples of clean-up wastewater only were taken as well as samples of the total plant effluent. Method I (used for plants A, D, E, F, K, P, Q, R, U, V, W, Z) The most commonly used method of calculation was to correlate the average wastewater characteristics with average waste- water flow and production data for the sampling period. This method was used when daily wastewater volume and/or daily production data was not available. Samples taken were 24 hour composite samples of the total plant effluent. Sample calculation: Assume: average daily wastewater flow = 100,000 gallons average daily production = 200 tons average COD concentration from ten 24-hour composite samples= 5,000 mg/1 Calculation: wastewater generation = (100,000 gal/200 tons) x 4.173* = 2,086 (1/kkg product) productivity factor = (5,000/106) x 2,086 1/kkg = 10.4 (kg COD/kkg product) Method II (used for plants J, N, X, Y) This method is identical to Method I except that separate samples of clean-up water were taken along with total plant effluent or process shift samples. Average daily clean-up wastewater volume and total effluent or process shift waste- water volumes were available along with average daily pro- duction data. Sample calculation: *1 gal/ton = 4.173 1/kkg 132 ------- Assume: average daily clean-up wastewater flow = 25,000 gal average daily process shift wastewater flow = 50,000 gal average daily production = 50 tons average clean-up wastewater COD con- centration = 3,000 mg/1 average process shift wastewater COD concentration = 1,000 mg/1 Calculations: clean-up wastewater generation = (25,000 gal/50 tons) x 4.173* = 2,08b 1/kkg process shift wastewater gen. = (50,000 gal/50 tons) x 4.173 = 4,173 1/kkg total wastewater generation = 2,086 + 4,173 = 6,259 1/kkg clean-up shift COD produc- tivity factor = (3,000/106) x 2,086 1/kkg = 6.3 kg/kkg product process shift COD producti- vity factor = (1,000/106) x 4,173 1/kkg = 4.2 kg/kkg product total COD productivity factor = 10.5 kg COD/kkg product Method III (used for plants C, G, I, L, M, 0, S) This method is based upon daily wastewater volume and pro- duction information supplied by the plant. From this data, specific productivity factors and wastewater generation values for each sampling day can be calculated. Then, for example, all the individual daily COD productivity factors can be used to obtain an overall average and a range. Most samples were 24 hour composite of the total plant effluent. Sample calculation: (2 days only - most plant were sampled 8 to 10 days) Assume: 10/9/74 10/10/74 wastewater flow = 30,000 gal wastewater flow = 25,000 gal production = 15 tons production = 18 tons COD concen. = 1,200 mg/1 COD concen. = 1,300 mg/1 *Note: 1 gal/ton = 4.173 1/kkg 133 ------- COD production factor 1,306 x 5,796 1/kkg =7.5 kg/kkg Average 8.7 7,070 Range 7.5-10.0 5,800-8,350 COD productivity factor = 1,200 x 8,346 1/kkg 100 =10.0 kg/kkg Results COD (kg/kkg product) Wastewater Generation (1/kkg product) Miscellaneous . Plant B The technique used to calculate wastewater generation and productivity factors was a combination of Methods II and III. Daily information was available for both clean-up and processing shifts. However, in this case significant production occurred during the "clean-up" shift and therefore this shift was treated as a second processing shift. Productivity factors were calculated using ton- nages produced during each processing shift only rather than over the whole day as was done with the other plants. Plant T Method II was expanded to four different waste streams rather than just "process" shift and "clean-up" shift. Separate samples of the total plant effluent, rice opera- tion wastewater, and rice treatment plant effluent were taken as well as flow data for each stream. Productivity factors for each of these streams were used to calculate similar factors for the category "all plant operations except the rice production." 134 ------- TECHNICAL REPORT DATA (I'lcase read Instructions on the reverse before completing) \. rupom NO. EPA-660/2-7^-075_ 4. TIT L t AN D SU B T I~T LE 2. WASTEWATER CHARACTERIZATION FOR THE SPECIALTY FOOD INDUSTRY 3. RECIPIENT'S ACCESSIOf»NO. 5. REPORT DATE 12-74 Date of issue 6. PERFORMING ORGANIZATION CODE 7. AUTHOR(S) Curtis J. Schmidt, Ernest V. Engineers; John Farquhar 8. PERFORMING ORGANIZATION REPORT NO. Clements III - SCS 9. PERFORMING ORG \NIZATION NAME AND ADDRESS American Frozen Food Institute 919 18th Street, N.W. Washington, D.C. 20006 10. PROGRAM ELEMENT NO. 1BB037 11. CONTRACT/GRANT NO. R-801684 12. SPONSORING AGENCY NAME AND ADDRESS Pacific NW Environmental Research Laboratory National Environmental Research Center Corvallis, OR 97330 13. TYPE OF REPORT AND PERIOD COVERED Final report 14. SPONSORING AGENCY CODE 15. SUPPLEMENTARY NOTES 16. ABSTRACT The specialty food industry generally falls within SIC Codes 2032, 2035 and 2037 and includes approximately 2,300 plants in the United States which produce a wide variety of food products. For waste categorization purposes the specialty food industry was divided into ten categories on the basis of ingredients used, type of product, and liquid waste generation. Twenty-six nationally distributed specialty food plants were investigated and 24 of these field sampled for ten days each to determine raw wastewater characteristics and volume. Related production and processing information was used to calculate the wastewater generation per 1,000 kilograms of production in terms of: 5 day Biochemical Oxygen Demand, Chemical Oxygen Demand, Suspended Solids, Volatile Suspended Solids, Total Phosphorus, Total Kjeldahl Nitrogen, and Grease and Oil. 17. KEY WORDS AND DOCUMENT ANALYSIS DESCRIPTORS Industrial Wastes, Foods, Canneries, Waste Identification, Waste Treatment b.IDENTIFIERS/OPEN ENDED TERMS C. COSATI Field/Group Specialty Foods, Waste Characterization 18. (JISTRIUUTION STATEMENT Release Unlimited 19. SECURITY CLASS (ThisReport) 1. NO. OF PAGES 134 20. SECURITY CLASS (Thispage) 22. PRICE EPA Form 2220-1 (9-73) V U.S. GOVERNMENT PRINTING OFFICE: 1975-697-£02/73 REGION io ------- |