Environmental Engineering Research

  • 제14권4호
  • /
  • Pages.200-210
  • /
  • 2009
  • /
  • 1226-1025(pISSN)
  • /
  • 2005-968X(eISSN)
대한환경공학회 (Korean Society of Environmental Engineers)
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Development of Water Quality Modeling in the United States

  • Ambrose, Robert B (U.S. Environmental Protection Agency (retired)) ;
  • Wool, Tim A (U.S. Environmental Protection Agency, Region 4 Water Management Division) ;
  • Barnwell, Thomas O. (U.S. Environmental Protection Agency (retired))
  • 발행 : 2009.12.31
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초록

The modern era of water quality modeling in the United States began in the 1960s. Pushed by advances in computer technology as well as environmental sciences, water quality modeling evolved through five broad periods: (1) initial model development with mainframe computers (1960s - mid 1970s), (2) model refinement and generalization with minicomputers (mid 1970s - mid 1980s), (3) model standardization and support with microcomputers (mid 1980s - mid 1990s), (4) better model access and performance with faster desktop computers running Windows and local area networks linked to the Internet (mid 1990s - early 2000s), and (5) model integration and widespread use of the Internet (early 2000s - present). Improved computer technology continues to drive improvements in water quality models, including more detailed environmental analysis (spatially and temporally), better user interfaces and GIS software, more accessibility to environmental data from on-line repositories, and more robust modeling frameworks linking hydrodynamics, water quality, watershed and atmospheric models. Driven by regulatory needs and advancing technology, water quality modeling will continue to improve to better address more complicated water bodies and pollutant types, and more complicated management questions. This manuscript describes historical trends in water quality model development in the United States, reviews current efforts, and projects promising future directions.

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참고문헌

  1. Streeter, H. W. and Phelps, E. B., A study of the pollution and natural purification of the Ohio River. III. Factors concerned in the phenomena of oxidation and reaeration, Public Health Bulletin No. 146, Public Health Service, Washington, DC (Feb, 1925).
  2. Bowie, G. L., Mills, W. B., Porcella, D. B., Campbell, C. L., Pagenkopf, J. R., Rupp, G. L., Johnson, K. M., Chan, P. W. H., Gherini, S. A., and Chamberlin, C. E., Rates, constants, and kinetics formulations in surface water quality modeling, 2nd ed., EPA/600/3-85-040, U.S. Environmental Protection Agency, Athens, GA (1985).
  3. Schnoor, J. L., Sato, C., McKetchnie, D., and Sahoo, D., Processes, coefficients, and models for simulating toxic organics and heavy metals in surface waters, EPA/600/3-87-015, U.S. Environmental Protection Agency, Athens, GA (1987).
  4. Di Toro, D. M., O'Connor, D. J., and Thomann, R. V., A dynamic model of the phytoplankton population in the Sacramento San Joaquin Delta, Advances in Chemistry Vol. 106, Ch. 5, American Chemical Society, Washington, DC, pp. 131-180 (1971). https://doi.org/10.1021/ba-1971-0106.ch005
  5. Thomann, R. V., Mathematical modeling of phytoplankton in Lake Ontario 1. Model development and verification, EPA/600/3-75-005, U.S. Environmental Protection Agency, Corvallis, OR (1975).
  6. Thomann, R. V., Winfield, R. P., Di Toro, D. M., and O'Connor, D. J., Mathematical modeling of phytoplankton in Lake Ontario 2. Simulations using LAKE 1 Model, EPA/600/3-76-065, U.S. Environmental Protection Agency, Grosse Ile, MI (1976).
  7. Thomann, R. V., Winfield, R. P., and Segna, J. J., Verification analysis of Lake Ontario and Rochester Embayment three dimensional eutrophication models, EPA/600/3-79-094, U.S. Environmental Protection Agency, Grosse Ile, MI (1979).
  8. Thomann, R. V., “Mathematical model of dissolved oxygen,” J. San. Engr. Div. ASCE, 89(SA5), 1-30 (1963).
  9. Final progress report - Delaware estuary and bay water 999quality sampling and mathematical modeling project, Delaware River Basin Commission, Trenton, NJ (May, 1970).
  10. Feigner, K. D. and Harris, H. S., Documentation report: FWQA dynamic estuary model, U.S. Federal Water Quality Administration, Washington, DC (1970).
  11. Metcalf & Eddy Inc., University of Florida, and Water Resources Engineers Inc., Storm water management model (SWMM), volume I - final report, 11024DOC07/71, Water Quality Office, U.S. Environmental Protection Agency, Washington, DC (Jul, 1971).
  12. Huber, W. C., Heaney, J. P., Medina, M. A., Peltz, W. A., Sheikh, H., and Smith, G. F., Storm water management model (SWMM) user's manual, version II, EPA/670/2-75/017, U.S. EPA Environmental Research Center, Cincinnati, OH (Mar, 1975).
  13. Simulation of water quality in streams and canals, program documentation and users manual, Texas Water Development Board, Austin, TX (Sep, 1970).
  14. Duke, J. H., Provision for a steady-state version of the stream model QUAL, Water Resources Engineers, Inc., Austin, TX (1973)
  15. Roesner, L. A., Gigure, P. A., and Evenson, D. E., Computer program documentation for the stream water quality model QUAL-II, EPA/600/9-81-014, U.S. EPA Environmental Research Laboratory, Athens, GA (1981)
  16. Najarian, T. O. and Harleman, D. R. F., Real-time model of nitrogen-cycle dynamics in an estuarine system, Technical Report No. 204, R.M. Parsons Laboratory for Water Resources and Hydrodynamics, Dept. of Civil Engineering, Massachusetts Institute of Technology, Cambridge, MA (Jul, 1975)
  17. Crawford, N. H. and Linsley, R. K., Digital simulation in hydrology, Stanford watershed model IV, Technical report no. 39, Department of Civil Engineering, Stanford University, Stanford, CA (Jul, 1966)
  18. Johanson, R. C., Imhoff, J. C., Kittle, J. L., and Donigian, A. S., Jr., Hydrological simulation program - FORTRAN (HSPF): user's manual for release 8.0, EPA/600/3-84-066, U.S. EPA Environmental Research Laboratory, Athens, GA (1984)
  19. Di Toro, D. M., Fitzpatrick, J. J., and Thomann, R. V., Water quality analysis simulation program (WASP) and model verification program (MVP) - Documentation, EPA/600/3-81-044, U.S. EPA Environmental Research Laboratory, Duluth, MN (1983)
  20. Ambrose, R. B., Vandergrift, S. B., and Wool, T. A., WASP3, a hydrodynamic and water quality model-model theory, users manual, and programmers guide, EPA/600/3-86/034, U.S. Environmental Protection Agency, Athens, GA (1986)
  21. Brown, L. C. and Barnwell, T. O., Computer program documentation for the enhanced stream water quality model QUAL2E, EPA/600/3-85/065, U.S. EPA Environmental Research Laboratory, Athens, GA (Aug, 1985)
  22. Burns, L. A., Cline, D. M., and Lassiter, R. R., Exposure analysis modeling system (EXAMS): user manual and system documentation, EPA/600/3-82-023, U.S. Environmental Protection Agency, Athens, GA (1982)
  23. Burns, L. A. and Cline, D. M., Exposure analysis modeling system, reference manual for EXAMS II, EPA/600/3-85-038, U.S. Environmental Protection Agency, Athens, GA (1985)
  24. Ambrose, R. B., Wool, T. A., Connolly, J. P., and Schanz, R. W., WASP4, a hydrodynamic and water quality model-model theory, users manual, and programmers guide, EPA/600/3-87/039, U.S. Environmental Protection Agency, Athens, GA (1987)
  25. Brown, L. C. and Barnwell, T. O., Computer program documentation for the enhanced stream water quality model QUAL2E and QUAL2E-UNCAS, EPA/600/3-87/007, U.S. EPA Environmental Research Laboratory, Athens, GA (Aug, 1987)
  26. Barnwell, T. O., Brown, L. C., and Whittemore, R. C., “Importance of field data in stream water quality modeling using QUAL2E-UNCAS,” J. Environ. Eng., 130(6), 643-647 (2004) https://doi.org/10.1061/(ASCE)0733-9372(2004)130:6(643)
  27. Chapman, R. S., Johnson, B. H., and Vemulakonda, S. R., User's guide for the sigma stretched version of CH3D-WES-a three-dimensional numerical hydrodynamic, salinity, and temperature model, HL-TR-96-2, U.S. Army Corps of Engineers, Waterways Experiment Station, Vicksburg, MS (1996)
  28. Cerco, C. F. and Cole, T., “Three-dimensional eutrophication model of Chesapeake Bay,” J. Environ. Eng., 119(6), 1006-1025 (1993) https://doi.org/10.1061/(ASCE)0733-9372(1993)119:6(1006)
  29. Hamrick, J. M., Users manual for the environmental fluid dynamics computer code, Special report in applied marine science and ocean engineering Vol. 331, Virginia Institute of Marine Science, College of William and Mary, Williamsburg, VA (1996)
  30. Blumberg, A. F. and Mellor, G. L., A description of a three-dimensional coastal ocean circulation model, In: Heaps, N. S. (Ed.), Three dimensional coastal ocean models, American Geophysical Union, Washington, DC, pp. 1-16 (reprinted) (1987)
  31. Rossman, L. A., Storm water management model (SWMM) user's manual version 5.0, EPA/600/R-05/040, National Risk Management Research Laboratory, U.S. EPA Office of Research and Development, Cincinnati, OH http://www.epa.gov/ednnrmrl/models/swmm/epaswmm5_user_manual.pdf (Jul, 2009)
  32. Chapra, S. C., Pelletier, G. J., and Tao, H., QUAL2K: a modeling framework for simulating river and stream water quality, version 2.11: documentation and users manual, Department of Civil and Environmental Engineering, Tufts University, Medford, MA (2008)
  33. Wool, T. A., Davie, S. R., and Rodriguez, H. N., “Development of three-dimensional hydrodynamic and water quality models to support total maximum daily load decision process for the Neuse River Estuary, North Carolina,” J. Water Resour. Plan. Manage.-ASCE, 129(4), 295-306 (2003) https://doi.org/10.1061/(ASCE)0733-9496(2003)129:4(295)
  34. Seo, D. and Yu, H., “Error analysis of a steady state water quality model, QUAL2E using a combination of EFDC-hydro and WASP7.2,” IWA World Water Congress and Exhibition, Vienna, Austria (2008)
  35. Seo, D., Kwon, K., Park, B., and Sigdel, R., “Water quality modeling Yongdam Lake using EFDC 3-D hydrodynamics model and WASP7.3 water quality model,” World City Water Forum (WCWF), Incheon, Korea (2009)
  36. Seo, D., Sigdel, R., Kwon, K., Lee, Y., and Yum, K., “3-D hydrodynamic modeling of Yongdam Lake, Korea using EFDC,” 13th International Water Association Conference on Integrated Diffuse Pollution Management (IWA DIPCON 2009), Seoul, Korea (2009)
  37. National Research Council (US). Committee on Models in the Regulatory Decision Process., Models in environmental regulatory decision making, National Academies Press, Washington, D.C. (2007)
  38. Guidance on the development, evaluation, and application of environmental models, EPA/100/K-09/003, Council for Regulatory Environmental Modeling, U.S. Environmental Protection Agency, Washington, DC http://www.epa.gov/crem/library/cred_guidance_0309.pdf (Mar, 2009)
  39. Park, R. A., Clough, J. S., and Wellman, M. C., AQUATOX (Release 2) modeling environmental fate and ecological effects in aquatic ecosystems. Volume 1: user's manual, EPA-823-R-04-001, Office of Water, U.S. Environmental Protection Agency, Washington, DC http://www.epa.gov/waterscience/models/aquatox/users/user.pdf (Jan, 2004)
  40. Wool, T. A., Ambrose, R. B., Martin, J. L., and Comer, E. A., The water quality analysis simulation program, WASP6. Part A: Model documentation, U.S. Environmental Protection Agency, Center for Exposure Assessment Modeling, Athens, GA (2001)
  41. Ambrose, R. B., Hill, S. I., and Mulkey, L. A., User's manual 4444for toxic chemical transport and fate model (TOXIWASP), EPA/600/3-83/005, U.S. Environmental Protection Agency, Athens, GA (1983)
  42. Thomann, R. V. and Fitzpatrick, J. J., Calibration and verification of a mathematical model of the eutrophication of the Potomac Estuary, Department of Environmental Services, Government of the District of Columbia, Washington, DC (1982)
  43. Ambrose, R. B., Martin, J. L., and Wool, T. A., WASP7 Benthic algae - model theory and user's guide, EPA/600/R-06/106, U.S. Environmental Protection Agency, Washington, DC (2006)
  44. Ambrose, R. B. and Wool, T. A., WASP7 Stream transport - model theory and user's guide, supplement to water quality analysis simulation program (WASP) user documentation, EPA/600/R-09/100, U.S. Environmental Protection Agency, Washington, DC (2009)
  45. Di Toro, D. M. and Connolly, J. P., Mathematical models of water quality in large lakes, Part 2: Lake Erie, EPA 600/3-80-065, U.S. EPA Environmental Research Laboratory, Athens, GA (1980)
  46. O'Connor, D. J., Mueller, J. A., and Farley, K. J., “Distribution o Kepone in the James River estuary,” J. Environ. Eng., 109(2), 396-413 (1983) https://doi.org/10.1061/(ASCE)0733-9372(1983)109:2(396)
  47. Development of heavy metal waste load allocations for the Deep River, North Carolina, JRB Associates, Inc., McLean, VA (1984)
  48. Ambrose, R. B., “Modeling volatile organics in the delaware 4444estuary,” J. Environ. Eng., 113(4), 703-721 (1987) https://doi.org/10.1061/(ASCE)0733-9372(1987)113:4(703)
  49. Lung, W. S., Martin, J. L., and McCutcheon, S. C., “Eutrophication analysis of embayments in Prince William Sound, Alaska,” J. Environ. Eng., 119(5), 811-824 (1993) https://doi.org/10.1061/(ASCE)0733-9372(1993)119:5(811)
  50. Bierman, V. J., Hinz, S. C., Zhu, D. W., Wiseman, W. J., Rabalais, N. N., and Turner, R. E., “A preliminary mass-balance model of primary productivity and dissolved-oxygen in the Mississippi River plume inner gulf shelf region,” Estuaries, 17(4), 886-899 (1994) https://doi.org/10.2307/1352756
  51. Lung, W. S. and Larson, C. E., “Water-quality modeling of 5555upper Mississippi River and lake Pepin,” J. Environ. Eng., 121(10), 691-699 (1995) https://doi.org/10.1061/(ASCE)0733-9372(1995)121:10(691)
  52. Gualtieri, C. and Rotondo, G., “Water quality modeling 5555of Speed River. Part one: Model calibration (in Italian),” Ingegneria Sanitaria, (2) (1996)
  53. Gualtieri, C. and Rotondo, G., “Water quality modeling of Speed River. Part two: Model validation and application (in Italian),” Ingegneria Sanitaria, (5/6) (1996)
  54. Wang, P. F., Mill, T., Martin, J. L., and Wool, T. A., “Fate and transport of metam spill in Sacramento River,” J. Environ. Eng., 123(7), 704-712 (1997) https://doi.org/10.1061/(ASCE)0733-9372(1997)123:7(704)
  55. Pickett, P. J., “Pollutant loading capacity for the Black River, Chehalis River system, Washington,” J. Am. Water Resour. Asssoc., 33(2), 465-480 (1997) https://doi.org/10.1111/j.1752-1688.1997.tb03525.x
  56. Tsiros, I. X. and Ambrose, R. B., “Environmental screening modeling of mercury in the upper everglades of South Florida,” J. Environ. Sci. Health Part A-Toxic/Hazard. Subst. Environ. Eng., 33(4), 497-525 (1998) https://doi.org/10.1080/10934529809376746
  57. Tsiros, I. X. and Ambrose, R. B., “An environmental simulation model for transport and fate of mercury in small rural catchments,” Chemosphere, 39(3), 477-492 (1999) https://doi.org/10.1016/S0045-6535(98)00601-8
  58. Tufford, D. L. and McKellar, H. N., “Spatial and temporal hydrodynamic and water quality modeling analysis of a large reservoir on the South Carolina (USA) coastal plain,” Ecol. Model., 114(2-3), 137-173 (1999) https://doi.org/10.1016/S0304-3800(98)00122-7
  59. Tufford, D. L., McKellar, H. N., Flora, J. R. V., and Meadows, M. E., “A reservoir model for use in regional water resources management,” Lake Reserv. Manage., 15(3), 220 - 230 (1999) https://doi.org/10.1080/07438149909354119
  60. Wang, P. F., Martin, J., and Morrison, G., “Water quality and 6666eutrophication in Tampa Bay, Florida,” Estuar. Coast. Shelf Sci., 49(1), 1-20 (1999) https://doi.org/10.1006/ecss.1999.0490
  61. Caruso, B. S., “Water quality simulation for planning restoration of a mined watershed,” Water Air Soil Pollut., 150(1-4), 359-382 (2003) https://doi.org/10.1023/A:1026156905385
  62. Caruso, B. S., “Modeling metals transport and sediment/6666water interactions in a mining impacted mountain stream,” J. Am. Water Resour. Assoc., 40(6), 1603-1615 (2004) https://doi.org/10.1111/j.1752-1688.2004.tb01609.x
  63. Caruso, B. S., “Simulation of metals total maximum daily 6666loads and remediation in a mining-impacted stream,” J. Environ. Eng., 131(5), 777-789 (2005) https://doi.org/10.1061/(ASCE)0733-9372(2005)131:5(777)
  64. Ambrose, R. B., Tsiros, I. X., and Wool, T. A., “Modeling mercury fluxes and concentrations in a Georgia watershed receiving atmospheric deposition load from direct and indirect sources,” J. Air Waste Manage. Assoc., 55(5), 547-558 (2005) https://doi.org/10.1080/10473289.2005.10464643
  65. A review of the mathematical water quality model QUAL-II and guidance for its use, Technical Bulletin No. 0391, National Council of the Paper Industry for Air and Stream Improvement (NCPIASI), New York, NY (Dec, 1982)
  66. A study of the selection, calibration and verification of 6666mathematical water quality model, Technical Bulletin No. 0367, National Council of the Paper Industry for Air and Stream Improvement (NCAPISI), New York, NY (Dec, 1982)
  67. McCutcheon, S. C., Evaluation of selected one-dimensional water quality models with field data, Technical Report E-83-11, U.S. Army Waterways Experiment Station, Vicksburg, MS (1983)
  68. Modifications to the QUAL-2 water quality model and user manual for QUAL2E version 2.2, Technical Bulletin No. 0457, National Council of the Paper Industry for Air and Stream Improvement (NCPIASI), New York, NY (Apr, 1985)
  69. Chapra, S. C., QUAL2K: a modeling framework for simulating river and stream water quality (beta version): documentation and users manual, Department of Civil and Environmental Engineering, Tufts University, Medford, MA (2003)
  70. Chapra, S. C. and Pelletier, G. J., QUAL2K: a modeling framework for simulating river and stream water quality, version 1.3: documentation and users manual, Department of Civil and Environmental Engineering, Tufts University, Medford, MA (2004)
  71. Donigian, A. S., Jr., Beyerlein, D. C., Davis, H. H., Jr., and Crawford, N. H., Agricultural runoff management (ARM) model version II: refinement and testing, EPA/600/3-77-098, U.S. EPA Environmental Research Laboratory, Athens, GA (1977)
  72. Donigian, A. S., Jr. and Davis, H. H., Jr., User's manual for agricultural runoff management (ARM) model, EPA/600/3-78-080, NTIS/PB-286-366/OWP, U.S. EPA Environmental Research Laboratory, Athens, GA (1978)
  73. Donigian, A. S., Jr. and Crawford, N. H., User's manual for the nonpoint source (NPS) model, NTIS/PB-270-967/3WP, U.S. EPA Environmental Research Laboratory, Athens, GA (1979)
  74. Johanson, R. C., Imhoff, J. C., Davis, H. H., Kittle, J. L., and Donigian, A. S., Jr., User's manual for the hydrological simulation program - FORTRAN (HSPF). version no. 7.0, U.S. EPA Environmental Research Laboratory, Athens, GA (1981)
  75. Donigian, A. S., Jr., Imhoff, J. C., Bicknell, B. R., and J.L. Kittle, J., Application guide for the hydrologic simulation program - FORTRAN (HSPF): users manual for release 8.0, EPA/600/3-84-066, U.S. EPA Environmental Research Laboratory, Athens, GA (1984)
  76. Bicknell, B. R., Imhoff, J. C., Kittle, J. L., Jr., Donigian, A. S., Jr. , and Johanson, R. C., Hydrological simulation program - FORTRAN. User's manual for release 10, EPA/600/R-93-174, U.S. EPA Environmental Research Laboratory, Athens, GA (1993)
  77. Bicknell, B. R., Imhoff, J. C., Kittle, J. L., Jr., Donigian, A. S., Jr. , and Johanson, R. C., Hydrological simulation program - FORTRAN. User's manual for version 11, U.S. EPA National Exposure Research Laboratory, Athens, GA (1997)
  78. Bicknell, B. R., Imhoff, J. C., Kittle, J. L., Jr., Jobes, T. H., and Donigian, A. S., Jr., Hydrological simulation program - Fortran (HSPF). User's manual for release 12, U.S. EPA National Exposure Research Laboratory, Athens, GA (2001)
  79. Donigian, A. S., Jr., Imhoff, J. C., and Bicknell, B. R., Modeling water quality and the effects of best management practices in Four Mile Creek, Iowa, EPA/68-03-2895, U.S. EPA Environmental Research Laboratory, Athens, GA (1983)
  80. Imhoff, J. C., Bicknell, B. R., and Donigian, A. S., Jr., Preliminary application of HSPF to the Iowa River Basin to model water quality and the effects of agricultural best management practices, Contract No. 68-03-2895 (PB-83-250399), Office of Research and Development, U.S. Environmental Protection Agency (1983)
  81. Bicknell, B. R., Donigian, A. S., and Barnwell, T. A., “Modeling water-quality and the effects of agricultural best management-practices in the Iowa River Basin,” Water Sci. Technol., 17(6-7), 1141-1153 (1985)
  82. Chew, C. Y., Moore, L. W., and Smith, R. H., “Hydrological simulation of Tennessee's north Reelfoot Creek watershed,” Res. J. Water Pollut. Contr. Fed., 63(1), 10-16 (1990)
  83. Dinicola, R. S., Characterization and simulation of rainfall-runoff relations for headwater basins in Western King and Snohomish Counties, Washington, Water Resources Investigation Report 89-4052, U.S. Geological Survey, Tacoma, WA (1990)
  84. Donigian, A. S., Jr., Bicknell, B. R., Patwardhan, A. S., Linker, L. C., Chang, C. H., and Reynolds, R., Chesapeake Bay program - Watershed model application to calculate bay nutrient loadings: final findings and recommendations (final report), U.S. EPA Chesapeake Bay Program, Annapolis, MD (1994)
  85. Linker, L. C., Shenk, G. W., Wang, P., and Storrick, J. M., Chesapeake Bay watershed model application and calculation of nutrient and sediment loadings. Appendix B. Phase 4 Chesapeake Bay watershed model water quality calibration results, EPA/903/R-98/003, U.S. Environmental Protection Agency, Chesapeake Bay Program, Annapolis, MD (1998)
  86. Dinicola, R. S., Estimates of recharge from runoff at the Hanford Site, Washington, Water Resources Investigation Report 97-4038, U.S. Geological Survey, Tacoma, WA (1997)
  87. Stigall, E., Linker, L. C., and A.S. Donigian, J., “Application of the hydrologic simulation program-FORTRAN (HSPF) model to the Potomac River Basin,” Proc. WATERSHED '93: A National Conference on Watershed Management, Alexandria, VA, pp. 767-775 (Mar 21-24, 1993)
  88. Chen, Y. D., Carsel, R. F., McCutcheon, S. C., and Nutter, W. L., “Stream temperature simulation of forested riparian areas: I. Watershed-scale model development,” J. Environ. Eng., 124(4), 304-315 (1998) https://doi.org/10.1061/(ASCE)0733-9372(1998)124:4(304)
  89. Chen, Y. D., McCutcheon, S. C., Norton, D. J., and Nutter, W. L., “Stream temperature simulation of forested riparian areas: II. Model application,” J. Environ. Eng., 124(4), 316-328 (1998) https://doi.org/10.1061/(ASCE)0733-9372(1998)124:4(316)
  90. Taylor, R. L., Simulation of hourly stream temperature and daily dissolved solids for the truckee river, California and Nevada, Water Resources Investigation Report 98-4064, U.S. Geological Survey, Carson City, NV (1998)
  91. AHuber, W. C. and Dickinson, R. E., Storm water management model (SWMM), version 4: user's manual, EPA/600/3-88/001a, U.S. EPA Environmental Research Laboratory, thens, GA (Oct, 1992)
  92. Srinivasan, R. and J.G. Arnold. 1994. Integration of a basin‑scale water quality model with GIS. Water Resources Bulletin. 30(3): 453‑462 https://doi.org/10.1111/j.1752-1688.1994.tb03304.x
  93. Arnold, J.G., J.R. Williams, and D.A. Maidment. 1995. Continuous-time water and sediment-routing model for large basins. Journal of Hydraulic Engineering-ASCE. 121(2): 171-183 https://doi.org/10.1061/(ASCE)0733-9429(1995)121:2(171)
  94. Arnold, J.G., R. Srinivasan, R.S. Muttiah, and J.R. Williams. 1998. Large area hydrologic modeling and assessment part I: model development. Journal of the American Water Resources Association. 34(1): 73‑89 https://doi.org/10.1111/j.1752-1688.1998.tb05961.x
  95. Srinivasan, R., T.S. Ramanarayanan, J.G. Arnold, and S.T, Bednarz. 1998. Large area hydrologic modeling and assessment part II: model application. Journal of the American Water Resources Association. 34(1): 91-101 https://doi.org/10.1111/j.1752-1688.1998.tb05962.x
  96. Neitsch, S.L., J.G. Arnold, J.R. Kiniry, J.R. Williams, and K.W. King. 2002. Soil and water assessment tool, Theoretical documentation, Version 2000. Texas Water Resources Institute, College Station, Texas, TWRI Report TR-191
  97. Neitsch, S.L., J.G. Arnold, J.R. Kiniry, and J.R. Williams. 2005. Soil and water assessment tool, Theoretical documentation, Version 2005. Grassland, Soil And Water Research Laboratory, Agricultural Research Service, Temple, Texas

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  8. The Research and Application Progress of Environmental Fluid Dynamics Code vol.03, pp.03, 2014, https://doi.org/10.12677/JWRR.2014.33031
  9. Model-Based Nitrogen and Phosphorus (Nutrient) Criteria for Large Temperate Rivers: 1. Model Development and Application vol.51, pp.2, 2015, https://doi.org/10.1111/jawr.12253
  10. Spatiotemporal characteristics of organic contaminant concentrations and ecological risk assessment in the Songhua River, China vol.17, pp.11, 2015, https://doi.org/10.1039/C5EM00375J
  11. TMDL development for the Taihu Lake’s influent rivers, China using variable daily load expressions vol.30, pp.3, 2016, https://doi.org/10.1007/s00477-015-1076-7
  12. Large eddy simulation of turbulence and solute transport in a forested headwater stream vol.121, pp.1, 2016, https://doi.org/10.1002/2014JF003423
  13. Estimations of flow rate and pollutant loading changes of the Yo-Cheon basin under AR5 climate change scenarios using SWAT vol.32, pp.3, 2018, https://doi.org/10.11001/jksww.2018.32.3.221
  14. Daily prediction of total coliform concentrations using artificial neural networks vol.22, pp.2, 2018, https://doi.org/10.1007/s12205-017-0739-y
  15. Numerical Modelling of Heavy Metal Dynamics in a River-Lagoon System vol.2019, pp.None, 2009, https://doi.org/10.1155/2019/8485031
  16. Low Impact Development (LID) as an effort to achieve a sustainable urban drainage system (SUDS). Case Study: Left Side Of Garang River Segment VI Semarang vol.125, pp.None, 2009, https://doi.org/10.1051/e3sconf/201912507017
  17. Role of Federal Funding for Environmental Model Development vol.146, pp.4, 2009, https://doi.org/10.1061/(asce)wr.1943-5452.0001173
  18. Overview of water quality modeling vol.8, pp.1, 2009, https://doi.org/10.1080/23311916.2021.1891711
  19. Spatial Analysis of a Chesapeake Bay Sub-Watershed: How Land Use and Precipitation Patterns Impact Water Quality in the James River vol.13, pp.11, 2009, https://doi.org/10.3390/w13111592
  20. Selecting Reliable Models for Total Maximum Daily Load Development: Holistic Protocol vol.26, pp.10, 2009, https://doi.org/10.1061/(asce)he.1943-5584.0002102
  21. Modeling Management and Climate Change Impacts on Water Pollution by Heavy Metals in the Nizhnekamskoe Reservoir Watershed vol.13, pp.22, 2009, https://doi.org/10.3390/w13223214