Journal of Zhejiang University-SCIENCE A

, Volume 11, Issue 12, pp 1015–1024 | Cite as

Integration of USEPA WASP model in a GIS platform

  • Sen Peng
  • George Yu-zhu Fu
  • Xin-hua Zhao


The integration of water quality analysis simulation program (WASP) with a geographical information system (GIS) is presented. This integration was undertaken to enhance the data analysis and management ability of the widely used water quality model. Different types of data involved in WASP modeling were converted and integrated into GIS using a database method. The spatial data modeling and analysis capability of GIS were used in the operation of the model. The WASP water quality model was coupled with the environmental fluid dynamics code (EFDC) hydrodynamic model. A case study of the Lower Charles River Basin (Massachusetts, USA) water quality model system was conducted to demonstrate the integration process. The results showed that high efficiency of the data process and powerful function of data analysis could be achieved in the integrated model, which would significantly improve the application of WASP model in water quality management.

Key words

Water quality analysis simulation program (WASP) Geographical information system (GIS) Integration Environmental fluid dynamics code (EFDC) Water quality model 

CLC number

X52 TU98 


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  1. Ambrose, R.B., Wool, T.A., Martin, J.L., 1993. The Water Quality Analysis Simulation Program, WASP5, Part A: Model Documentation. Center for Exposure Assessment Modeling, US Environmental Protection Agency, GA.Google Scholar
  2. Bierman, V.J., DePinto, J.V., Young, T.C., Rodgers, P.W., Martin, S.C., Raghunathan, R., Hinz, S.C., 1992. Development and Validation of an Integrated Exposure Model for Toxic Chemicals in Green Bay, Lake Michigan. Office of Research and Development, US Environmental Protection Agency, MI.Google Scholar
  3. Di Toro, D.M., Fitzpatrick, J.J., Thomann, R.V., 1983. Documentation for Water Quality Simulation Program (WASP) and Model Verification Program. US EPA-600/3-81-044, Environmental Research Laboratory, Office of Research and Development, US Environmental Protection Agency, MN.Google Scholar
  4. Fitzpatrick, J.J., 2009. Assessing skill of estuarine and coastal eutrophication models for water quality managers. Journal of Marine Systems, 76(1–2):195–211. [doi:10.1016/j.jmarsys.2008.05.018]MathSciNetCrossRefGoogle Scholar
  5. Goodchild, M.F., 1993. Data Models and Data Quality: Problems and Prospects. In: Goodchild, M.F., Parks, B.O., Steyaert, L.T. (Eds.), Environmental Modeling with GIS. Oxford University Press, New York, p.8–15.Google Scholar
  6. Leipnik, M.R., Kemp, K.K., Loaiciga, H.A., 1993. Implementation of GIS for water resources planning and management. Journal of Water Resources Planning and Management, 119(2):184–205. [doi:10.1061/(ASCE)0733-9496(1993)119:2(184)]CrossRefGoogle Scholar
  7. Liao, H.H., Tim, U.S., 1997. An interactive modeling environment for nonpoint source pollution control. Journal of the American Water Resources Association, 33(3):591–603. [doi:10.1111/j.1752-1688.1997.tb03534.x]CrossRefGoogle Scholar
  8. Lung, W.S., Larson, C.E., 1995. Water quality modeling of upper Mississippi River and Lake Pepin. Journal of Environmental Engineering, 121(10):691–699. [doi:10.1061/(ASCE)0733-9372(1995)121:10(691)]CrossRefGoogle Scholar
  9. MADEP (Massachusetts Department of Environmental Protection), 2000. Massachusetts Water Quality Standards, 314 CMR 4.00. Massachusetts Surface Water Quality Standards, Division of Water Pollution Control, MA.Google Scholar
  10. McKinney, D.C., Cai, X., 2002. Linking GIS and water resources management models: an object-oriented method. Environmental Modelling & Software, 17(5):413–425. [doi:10.1016/S1364-8152(02)00015-4]CrossRefGoogle Scholar
  11. Miles, S.B., Ho, C.L., 1999. Applications and issues of GIS as tool for civil engineering modeling. Journal of Computing in Civil Engineering, 13(3):144–152. [doi:10.1061/(ASCE)0887-3801(1999)13:3(144)]CrossRefGoogle Scholar
  12. Ng, S.M.Y., Wai, O.W.H., Li, Y.S., Li, Z.L., Jiang, Y., 2009. Integration of a GIS and a complex three-dimensional hydrodynamic, sediment and heavy metal transport numerical model. Advances in Engineering Software, 40(6): 391–401. [doi:10.1016/j.advengsoft.2008.09.001]CrossRefzbMATHGoogle Scholar
  13. Patino-Gomez, C., McKinney, D.C., Maidment, D.R., 2008. Water Quality Data and Simulation Model in GIS for the Rio Bravo/Grande Basin. World Environmental and Water Resources Congress, Honolulu, HI, p.1–9. [doi:10.1061/40976(316)542]Google Scholar
  14. Pinho, J.L.S., Pereira Vieira, J.M., Antunes do Carmo, J.S., 2004. Hydroinformatic environment for coastal waters hydrodynamics and water quality modelling. Advances in Engineering Software, 35(3–4):205–222. [doi:10.1016/j.advengsoft.2004.01.001]CrossRefGoogle Scholar
  15. Shoemaker, L., Lahlou, M., Bryer, M., Kumar, D., Kratt, K., 1997. Compendium of Tools for Watershed Assessment and TMDL Development. EPA841-B-97-006, Office of Water, US Environmental Protection Agency, Washington, DC.Google Scholar
  16. Tetra Tech, 2002. User’s Manual for Environmental Fluid Dynamics Code: Hydrodynamics. Tetra Tech Inc., VA.Google Scholar
  17. Tetra Tech, 2005a. DRAFT-Total Maximum Daily Load for Eutrophication in the Lower Charles River Basin. Tetra Tech Inc., VA.Google Scholar
  18. Tetra Tech, 2005b. DRAFT-A Hydrodynamic and Water Quality Model for the Lower Charles River Basin, Massachusetts. Tetra Tech Inc., VA.Google Scholar
  19. Tetra Tech, 2006. Development of the Hydrodynamic and Water Quality Models for the Savannah Harbor Expansion Project. Tetra Tech Inc., VA.Google Scholar
  20. Thomann, R.V., Fitzpatrick, J.J., 1982. 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.Google Scholar
  21. USEPA, 2001. Total Maximum Daily Load (TMDL) for Total Mercury in Fish Tissue Residue in the Middle & Lower Savannah River Watershed. US Environmental Protection Agency, GA.Google Scholar
  22. Wang, P.F., Martin, J., Morrison, G., 1999. Water quality and eutrophication in Tampa Bay, Florida. Estuarine, Coastal and Shelf Science, 49(1):1–20. [doi:10.1006/ecss.1999.0490]CrossRefGoogle Scholar
  23. Wool, T.A., Ambrose, R.B., Martin, J.L., Comer, E.A., 2001. The Water Quality Analysis Simulation Program WASP6 Draft, Users’ Manual. US Environmental Protection Agency, GA.Google Scholar
  24. Wool, T.A., Davie, S.R., Rodriguez, H.N., 2003. Development of three-dimensional hydrodynamic and water quality models to support total maximum daily load decision process for the Neuse River estuary, North Carolina. Journal of Water Resources Planning and Management, 129(4):295–306. [doi:10.1061/(ASCE)0733-9496(2003)129:4(295)]CrossRefGoogle Scholar
  25. Wool, T.A., Ambrose, R.B., Martin, J.L., 2008. WASP7 Temperature and Fecal Coliform Model Theory and User’s Guide. US Environmental Protection Agency, GA.Google Scholar

Copyright information

© Zhejiang University and Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.School of Environmental Science and EngineeringTianjin UniversityTianjinChina
  2. 2.Department of Construction Management and Civil EngineeringGeorgia Southern UniversityStatesboroUSA

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