Evaluating SWAT snowmelt parameters and simulating spring snowmelt nonpoint source pollution in the source area of the Liao River

• Autorzy: Wang Y. , Bian J. , Wang S. , Tang J. , Ding F.
• Języki publikacji: EN

Abstrakty

EN

Snowmelt hydrology becomes an important component of the soil and water assessment tool (SWAT) when spring flows are dominated by melting snow. The objective of this study was to evaluate the performance of the SWAT model’s snowmelt parameters by simulating nonpoint source pollution in the source area of the Liao River – a cold area in China. The seven snowmelt parameters for the simulation were adjusted. The exports rule of nonpoint source pollution for the spring snowmelt period was analyzed. The result show that SFTMP, SMTMP, SMFMX, SMFMN, and TIMP were sensitive parameters, while SNOCOVMX and SNO50COV were insensitive. In addition, two common statistics (Nash-Sutcliffe coefficient, and coefficient of determination) were used to evaluate the model. This evaluation indicated that the SWAT model had good performance simulating the seasonal nonpoint source pollution with large snowmelt. According to the analysis, rainfall and snowmelt is a main driver of nonpoint source pollution in the cold area, and that summer and spring are high-risk seasons. The study provides a new and suitable method of nonpoint source pollution simulation for the cold areas.

• Wydawca: -
• Czasopismo: Polish Journal of Environmental Studies
• Rocznik: 2016
• Tom: 25
• Numer: 5
• Opis fizyczny: p.2177-2185,fig.,ref.

Twórcy

autor

Wang Y.

• Key Lab of Groundwater Resources and Environment, Jilin Province, College of the Environment and Resources, Jilin University, Changchun 130021, China

autor

Bian J.

• Key Lab of Groundwater Resources and Environment, Jilin Province, College of the Environment and Resources, Jilin University, Changchun 130021, China

autor

Wang S.

• Key Lab of Groundwater Resources and Environment, Jilin Province, College of the Environment and Resources, Jilin University, Changchun 130021, China

autor

Tang J.

• Key Lab of Groundwater Resources and Environment, Jilin Province, College of the Environment and Resources, Jilin University, Changchun 130021, China

autor

Ding F.

• Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100000, China

Bibliografia

• 1. YANG Y.H., YAN B.X., SHEN X.B. Assessment of point and nonpoint sources pollution in Songhua River basin, northeast China by using revised water quality model. Chines. Geogr. SCI. 20 (1), 30, 2010.
• 2. LINDAU C., BOLLICH P., BOND J. Soybean best management practices for Louisiana, USA, agricultural nonpoint source water pollution control. Commun. Soil. Sci. Plan. 41 (13), 1615, 2010.
• 3. ZHANG L., LU W. X., AN Y. L., LI D., GONG L. Evaluation of non-point source pollution reduction by applying best management practices in Dongliao River watershed using SWAT Model. Fresen. Environ. Bull. 22 (2A), 531, 2013.
• 4. LI J.K., DU J., LI H. E., LI Y. J., LIU Z.C. A SWAT modelbased simulation of the effects of non-point source pollution control measures on a river basin. Pol. J. Environ. Stud. 24 (3), 1133, 2015.
• 5. FU Y.C., RUAN B.Q., GAO T. Watershed agricultural nonpoint source pollution management. Pol. J. Environ. Stud. 22 (2), 367, 2013.
• 6. XIA J., ZHAI X.Y., ZHANG Y.Y. Progress in the research of water environmental nonpoint source pollution models. Progress in Geography. 31 (7), 941, 2012 [In Chinese].
• 7. MAO Y.N., YEA Z., WANG X.L., ZHANG Y.Y. Nonpoint source pollution models base on GIS and RS: A review. Journal of BeiJing Normal University (Natural Science). 49(4), 407, 2013 [In Chinese].
• 8. ARNOLD J.G., ALLEN P.M., BERNHARDT G. A comprehensive surface-groundwater flow model. J. Hydrol. 142, 47, 1993.
• 9. LIU R.M., ZHANG P.P., WANG X.J., WANG J.W., YU W.W., SHEN Z.Y. Cost-effectiveness and cost-benefit analysis of BMPs in controlling agricultural nonpoint source pollution in China based on the SWAT model. Environ. Monit. Assess. 186 (12), 9011, 2014.
• 10. QU J.H., ZHOU J., REN K. Identification of nonpoint source of pollution with nitrogen based on soil and water assessment tool in Qinhuangdao city, China. Environ. Eng. Manag. J. 14 (8), 1887, 2015.
• 11. KIM S.B., SHIN H.J., PARK M., KIM S.J. Assessment of future climate change impacts on snowmelt and stream water quality for a mountainous high-elevation watershed using SWAT. Paddy. Water. Environ. 13, 557, 2015.
• 12. HAO Z.C., ZHANG Y.G., YANG C.G., LI J. W., DA W.D.Z. Effects of topography and snowmelt on hydrologic simulation in the Yellow River›s source region. Advances in water science. 24 (3), 311, 2013 [In Chinese].
• 13. Kaczor G., Bugajski P. Impact of Snowmelt Inflow on Temperature of Sewage Discharged to Treatment Plants. Pol. J. Environ. Stud. 21 (2), 381, 2012.
• 14. PETERSON J.R., HAMLETT J.M. Hydrologic calibration of the SWAT model in a watershed containing frangipani soils. Am. Water. Res. Assoc. 34 (3), 531, 1998.
• 15. FONTAINE T.A., CRUICKSHANK T.S., ARNOLD J.G., HOTCHKISS R.H. Development of a snowfall-snowmelt routine for mountainous terrain for the soil water assessment tool (SWAT). Hydrogeol. J. 262, 209, 2002.
• 16. WANG T.M., WANG Y.Y., LIU Y.P., XIANG B., MA G.W., HU Y. Study and application of estimation method for spring non-point source pollution in northeast China. Journal of Agro-Environment Science. 31 (4), 807, 2012 [In Chinese].
• 17. LV C., LIU D.M., LIU T. Load estimation of agricultural non-point source pollution in source area of Liao River. Journal of Water Resources & Water Engineering. 24 (6), 185, 2013 [In Chinese].
• 18. ZHAO J. Simulation research for export of agricultural nonpoint source nitrogen and phosphorus and its risk assessment in the source area of Liao River. Jilin University. 2014 [In Chinese].
• 19. BIAN J.M., HU Y.X., LI Y.S., MA Y.X., BIAN J. Water quality assessment in source area of Liao River based on BP neural network. Research of Soil and Water Conservation. 21 (1), 147, 2014 [In Chinese].
• 20. MENG X.Y., JI X.N., LIU Z.H., XIAO J.C., CHEN X., WANG F. Research on improvement and application of snowmelt module in SWAT. Journal of Natural Resources. 29 (3), 528, 2014 [In Chinese].
• 21. ETIENNE L., FRANCOIS A., ANN V.G. Evaluation of stream flow simulation by SWAT model for two small watersheds under snowmelt and rainfall. Hydrolog. Sci. J. 53 (5), 961, 2008.
• 22. MAGALI T., DANIEL C. Evaluating the SWAT’s snow hydrology over a Northern Quebec watershed. Hydrol. Process. 28, 1858, 2014.
• 23. Wang X., Melesse A.M. Evaluation of the SWAT model’s snowmelt hydrology in a Northwestern Minnesota Watershed. T. ASABE. 48 (4), 16, 2005

Identyfikatory

DOI

10.15244/pjoes/63174