United States Environmental Protection Agency Solid Waste and Emergency Response (5102G) EPA 542-N-99-008 December 1999 Issue No. 34 CONTENTS Pump and Treat Optimization Technology Brings Significant Cost Savings Pg.l AFCEE Develops Algorithm to Optimize Long-Term Ground- Water Monitoring Networks Pg. 2 Remediation System Evaluations Help to Optimize Systems Pg. 3 New Case Studies on Ground-Water Cleanup Systems Released Pg. 4 About this Issue This issue highlights various approaches to system optimization for the characterization or remediation of contaminated ground water. Pump and Treat Optimization Technology Brings Significant Cost Savings by Kathleen Yager, U.S. EPA Technology Innovation Office, and Robert Greenwald, HSI GeoTrans The U.S. EPA Technology Innovation Office (TIO) and Office of Research and Development (ORD) recently teamed with HSI GeoTrans in a study evaluating the effectiveness of an optimization technology for pump and treat (P&T) systems. The optimization approach consists of using ground-water flow models coupled with mathematical optimization techniques to develop improved pumping strategies. Study results indicated mat significant savings in annual operation and maintenance (O&M) costs are possible from optimi- zation-simulation analyses. Potential cost savings at two of the three sites evaluated in the study ranged from $200,000 to $550,000, annually. Nearly 700 pump and treat systems have been selected, are under construction, or currently operate at Superfund sites across the county. These systems are not only costly to construct but can be extremely expensive to operate and maintain for the long periods of time commonly required for site cleanup. A primary objective of the study was to evaluate a technology that could improve the efficiency of P&T systems while significantly reducing O&M costs. EPA also aimed to highlight the importance of evaluating system performance on a regular basis, and to develop guidance on when a detailed optimization analysis may be beneficial. The scope of the study included selection of three sites with existing P&T systems, screening of the sites for optimization potential, and application of a hydraulic optimization code (MODMAN) at each site. MODMAN couples a ground-water flow model (MODFLOW) with math- ematical optimization techniques (linear and mixed-integer programing) to determine the best locations and rates for extraction and/or injection wells. A major advantage of hydraulic optimiza- tion is that it considers all possible combinations of flow rates at potential well locations, so that the best combina- tion is identified. Three diverse sites (located in Kentucky, Utah, and Ne- braska) were selected for the study to allow for demonstration of the optimiza- tion technology under various conditions. The sites differed in total ground water flow rate, the number of extraction/injection wells, the type of aboveground treatment, and the annual O&M cost. Results of the study can be illustrated by selected findings from the Kentucky site, [continued on page 2] Recycled/Recyclable Printed with Soy/Cano{a Ink on paper that contains at least 50% recycled fiber ------- [continued from page 2] (2) identifying spatially redundant wells; and (3) projecting cost savings gained by eliminating wells and/or reducing sam- pling frequencies. The temporal algorithm involves both computation of a composite temporal variogram to determine the least redundant overall sampling interval, and "iterative thinning" of the sampling data at selected wells to determine well-specific sampling frequencies. A temporal variogram is a one-dimensional geostatistical measure of autocorrelation across a range of lag times between sampling events. The smallest lag time at which the variogram reaches a stable plateau or "sill" is the sampling interval at which the same-well measurements become essentially uncorrelated and, therefore, non-redundant. "Iterative thinning" involves an estimation of a baseline trend at each well, followed by re-estimation of the trend after random deletion of sampling events from the well's historical record. The spatial algorithm is predicated on the notion that well locations are redundant if nearby wells offer nearly the same statistical information about the underly- ing plume. At MMR, a well was considered redundant if its removal did not significantly change a concentration map of the plume. To identify well redundancy, indicator kriging was used to generate an initial plume map. Kriging weights assigned to each well location then were used to gauge each well's relative contribution to this initial map. By temporarily removing that subset of wells with the lowest global kriging weights and re-estimating the plume map, it was possible to determine how many wells could be removed without substan- tially altering the map, leading to a list of potentially redundant wells. Based on application of the optimization algorithm at MMR, close to 20 percent of the known monitoringlocations were tagged as spatially redundant at each site. Furthermore, the temporal variogram indicated that quarterly sampling could be relaxed and replaced by annual sampling at FS-12 and by once-per-5-quarters sampling at Eastern Briarwood. The overall reduction in MMR's total annual sampling and analytical budget for these ground water plumes was estimated to be 36 percent for Eastern Briarwood and 42 percent for FS-12. AFCEE currently is testing the algorithm at other Air Force sites. For additional information, contact Philip Hunter (AFCEE) at 210-536-5281 ore-mail philip.hunter@hq.afcee.brooks.af.mil. Remediation System Evaluations Help to Optimize Systems by Dave Becker, U.S. Army Corps of Engineers/Hazardous, Toxic, and Radioactive Waste Center of Expertise The Remediation System Evaluation (RSE) process can help reduce operating costs substantially for long-term cleanups and help identify performance problems. Developed by the U.S. Army Corps of Engineers (USAGE) to identify cost savings and assure the protectiveness of remedies, the RSE process: recommends cost-saving changes in system operations or technologies applied at a site, verifies a reasonable closure strategy, and assesses maintenance of government-owned equipment. Besides identifying potential cost savings, the RSE process serves as an extension of the CERCLA 5-year review process. The evaluation addresses protectiveness issues such as system performance relative to remedial action objectives, monitoring or operational deficiencies that may jeopardize ad- remedy's protectiveness, and changes in surrounding land use or risk-based/ regulatory cleanup standards. The USAGE Hazardous, Toxic, and Radioactive Waste Center of Expertise, with assistance from USAGE district staff and other agency personnel, has applied the RSE process at three sites. The RSEs identified potential cost savings of $80,000 to more than $300,000 per year in operations and maintenance at each site. On average, each evaluation cost slightly under $20,000 to conduct, including associated travel for a site visit and final report generation. The costs that may be incurred in addressing those issues, however, are not shown to offset the reported cost savings. In order to assist the USAGE district personnel and contractors in performing these RSEs, a suite of checklists was developed. These checklists address the overall system goals, subsurface perfor- mance, above-ground treatment effectiveness, and equipment mainte- nance, and offer possible cost saving alternatives. The checklists are intended for use by experienced technical staff when conducting RSEs on a wide variety of long-term remedies, including pump and treat, soil vapor extraction, bioventing, and air sparging. Over 250 RSE checklists are available. Several of the checklists assist in assess- ment of subsurface system performance, aboveground treatment plant effective- ness, monitoring programs, and alternatives for treatment water discharge. Other checklists are intended for use in evaluating specific equipment, including air strippers, carbon adsorption systems, metals precipitation units, piping, pumps, blowers, control systems, solids handling systems, thermal treatment units, ad- [continued on page 4] ------- |