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GeoRes 2021, 36(4): 337-346 Back to browse issues page
Optimization of Export Coefficient Model Based on Precipitation and Terrain Impact Factors
M. Galoie1 , A. Motamedi *2
1- Civil Engineering Department, Faculty of Technical and Engineering, Imam Khomeini International University, Qazvin, Iran
2- Civil Engineering Department, Buin Zahra Higher Education Center of Engineering and Technology, Imam Khomeini International University, Qazvin, Iran , artemis.mot@bzte.ac.ir
Abstract:   (1489 Views)
Aims: Very serious studies have been carried out on the Chinese Tibetan Plateau due to the high level of erosion in this region all over the world. Changes in soil nitrogen and phosphorus parameters are followed by estimating soil erosion. Therefore, the purpose of this study was to investigate the effect of two parameters of basin topography coefficient and precipitation distribution on pollution load transfer using an experimental transfer coefficient model.
Methodology: In this study, which was conducted in 2019, a part of the Tibetan Plateau was selected where proven data on agricultural pollution such as nitrogen and phosphorus were available. This study was part of an integrated water resources management project conducted jointly between Iran and China. The results of estimating the estimated non-point pollution by the experimental model of transfer coefficient and the optimized model by applying alpha and beta coefficients were evaluated with the measured data. These two coefficients are among the key parameters in non-point modeling of pollution because they cause the role of land features and the non-uniformity of precipitation in the model to be considered.
Findings: Analysis of the Export Coefficient Model outputs together with the modified Export Coefficient Model outputs and comparing the results with observed data showed that the application of alpha and beta coefficients was very effective to increase the accuracy of the model. The relative error between amount of nitrogen which was estimated by the modified Export Coefficient Model and the measured values was reduced comparing to the results of Export Coefficient Model without using the coefficient: for station 1, 12% and 34% in 2007 respectively; and 18% and 20% in 2015 respectively; for station 2, 16% and 30% in 2007 respectively; and 21% and 34% in 2015 respectively.
Conclusion: This study illustrated that the modified Export Coefficient Model could provide more accurate results in comparison with the Export Coefficient Model and would be useful in decision making and planning processes in large-scale agricultural watersheds in which, pesticides are the most important pollution sources for surface and sub-surface water.
Keywords: Export Coefficient Model|Non-Point Pollution|Precipitation Impact Factor|Terrain Impact Factor ,
Full-Text [PDF 1624 kb]   (223 Downloads)    
Article Type: Original Research | Subject: natural geography
Received: 2021/03/31 | Accepted: 2021/06/24 | Published: 2021/12/21
1. Akhavan S, Mehrabi M, Abbaspour K (2018). Review of Researches about SWAT in Iran. The First Conference on The Use of Soil and Water Management Tools (Swat) In The Management of Water Resources in The Country, 14 May 2016, Isfahan, Iran. Tehran: Civilica. [Persian] [Link]
2. Arnold JG, Kiniry JR, Srinivasan R, Williams JR, Haney EB, Neitsch SL (2012). SWAT 2012 Input/Output Documentation. Texas: Texas Water Resources Institute. [Link]
3. Bowes MJ, Hilton J, Irons GP, Hornby DD (2005). The relative contribution of sewage and diffuse phosphorus sources in the river Avon catchment, southern England: Implications for nutrient management. Science of the Total Environment. 344(1-3):67-81. [Link] [DOI:10.1016/j.scitotenv.2005.02.006]
4. Bowes MJ, Smith JT, Jarvie HP, Neal C (2008). Modelling of phosphorus inputs to rivers from diffuse and point sources. Science of the Total Environment. 395(2-3):125-138. [Link] [DOI:10.1016/j.scitotenv.2008.01.054]
5. Chang M, McBroom MW, Scott Beasley R (2004). Roofing as a source of nonpoint water pollution. Journal of Environmental Management. 73(4):307-315. [Link] [DOI:10.1016/j.jenvman.2004.06.014]
6. Chaplot V, Saleh A, Jaynes DB (2005). Effect of the accuracy of spatial rainfall information on the modeling of water, sediment, and NO3-N loads at the watershed level. Journal of Hydrology. 312(1-4):223-234. [Link] [DOI:10.1016/j.jhydrol.2005.02.019]
7. Cheng X, Chen L, Sun R, Jing Y (2018). An improved export coefficient model to estimate non-point source phosphorus pollution risks under complex precipitation and terrain conditions. Environmental Science and Pollution Research International. 25(21):20946-20955. [Link] [DOI:10.1007/s11356-018-2191-z]
8. Ding X, Shen Z, Hong Q, Yang Z, Wu X, Liu R (2010). Development and test of the export coefficient model in the upper reach of the Yangtze river. Journal of Hydrology. 383(3-4):233-244. [Link] [DOI:10.1016/j.jhydrol.2009.12.039]
9. Dou PQ, Wang XY, Fang XD, Wang LH (2006a). Research on loss of nitrogen and phosphorus in Shixia experiment plot. Agricultural Research in the Arid Areas. 24:19-24. [Chinese] [Link]
10. Dou PQ, Wang XY, Wang LH (2006b). Research progress on the mechanism of nitrogen and phosphorus in non-point source pollution. Journal of Capital Normal University. 27:93-98. [Chinese] [Link]
11. Fan J, Motamedi A, Galoie M (2021). Impact of C factor of USLE technique on the accuracy of soil erosion modeling in elevated mountainous area (case study: the Tibetan plateau). Environment, Development and Sustainability.23:12615-12630. [Link] [DOI:10.1007/s10668-020-01133-x]
12. Farenga SJ, Daniel N (2007). Making a community information guide about nonpoint source pollution. Science Scope. 30:12-15. [Link]
13. Hao GR, Li JK, Li S, Li KB, Zhang ZH, Li HE (2020). Quantitative assessment of non-point source pollution load of PN/PP based on RUSLE model: A case study in Beiluo river basin in China. Environmental Science and Pollution Research International. 27(27):33975-33989. [Link] [DOI:10.1007/s11356-020-09587-2]
14. Huang MX, Zhang GL, Zhang XM, Zhou CH (2003). Phosphorus export by surface runoff from agricultural field plots in Guanting watershed. Ecology and Environment. 12:139-144. [Chinese] [Link]
15. Hunter HM, Walton RS (2008). Land use effects on fluxes of suspended sediment, nitrogen and phosphorus from a river catchment of the great barrier reef, Australia. Journal of Hydrology. 356(1-2):131-146. [Link] [DOI:10.1016/j.jhydrol.2008.04.003]
16. Immerzeel WW, Van Beek LPH, Bierkens MFP (2010). Climate change will affect the Asian water towers. Science. 328(5984):1382-1385. [Link] [DOI:10.1126/science.1183188]
17. Liu RM, Yang ZF, Shen ZY, Yu SL, Ding XW, Wu X, et al (2009). Estimating nonpoint source pollution in the upper Yangtze river using the export coefficient model, remote sensing, and geographical information system. Journal of Hydraulic Engineering. 135(9):698-704. [Link] [DOI:10.1061/(ASCE)0733-9429(2009)135:9(698)]
18. Meng D, Dong Q, Kong F, Yin Z, Li Y, Liu J (2020). Spatio-temporal variations of water vapor budget over the tibetan plateau in summer and its relationship with the indo-pacific warm pool. Atmosphere. 11(8):828. [Link] [DOI:10.3390/atmos11080828]
19. Nobre RLG, Caliman A, Cabral CR, De Carvalho Araujo F, Guerin J, Dantas FDCC, et al (2020). Precipitation, landscape properties and land use interactively affect water quality of tropical freshwaters. Science of The Total Environment. 716:137044. [Link] [DOI:10.1016/j.scitotenv.2020.137044]
20. Noto LV, Ivanov VY, Bras RL, Vivoni ER (2008). Effects of initialization on response of a fully-distributed hydrologic model. Journal of Hydrology. 352(1-2):107-125. [Link] [DOI:10.1016/j.jhydrol.2007.12.031]
21. Omernik JM (1976). The influence of land use on stream nutrient levels. Corvallis: Environmental Protection Agency. [Link]
22. Potter KM, Cubbage FW, Blank GB, Schaberg RH (2004). A watershed-scale model for predicting nonpoint pollution risk in north Carolina. Environmental Management. 34:62-74. [Link] [DOI:10.1007/s00267-004-0117-7]
23. Singh VP, Frevert DK (2002). Mathematical models of large watershed hydrology. Berlin: Water Resources Publications. [Link] [DOI:10.1061/40650(2003)16]
24. Singh J, Knapp HV, Arnold JG, Demissie M (2005). Hydrological modeling of the Iroquois river watershed using HSPF and SWAT. Journal of the American Water Resources Association. 41(2):343-360. [Link] [DOI:10.1111/j.1752-1688.2005.tb03740.x]
25. Wang S, Liu W, Zhao S, Wang C, Zhuang L, Liu L, et al. (2019). Denitrification is the main microbial N loss pathway on the Qinghai-Tibet Plateau above an elevation of 5000 m. Science of The Total Environment. 696:133852. [Link] [DOI:10.1016/j.scitotenv.2019.133852]
26. Wang W, Chen L, Shen Z (2020). Dynamic export coefficient model for evaluating the effects of environmental changes on non-point source pollution. Science of The Total Environment. 747:141164. [Link] [DOI:10.1016/j.scitotenv.2020.141164]
27. Wu L, Gao JE, Ma XY, Li D (2015). Application of modified export coefficient method on the load estimation of non-point source nitrogen and phosphorus pollution of soil and water loss in semiarid regions. Environmental Science and Pollution Research. 22:10647-10660. [Link] [DOI:10.1007/s11356-015-4242-z]
28. Zhang N, Yu Y, Hong B, Chen J (2003). Factors influencing phosphorus loss by runoff process from farmlands in the Dianchi watershed. Chinese Journal of Environmental Science. 24:155-157. [Chinese] [Link]
29. Zhang N, Zhang Y, Chen J, Li C (2004). Factors of influencing soil-nitrogen pollution load of sloping field in the Dian Lake watershed. Chinese Agricultural Science Bulletin. 20:148-150. [Chinese] [Link]
30. Zhang X, Yi Y, Yang Z (2020). Nitrogen and phosphorus retention budgets of a semiarid plain basin under different human activity intensity. Science of The Total Environment. 703:134813. [Link] [DOI:10.1016/j.scitotenv.2019.134813]
31. Zhao Z, Zhang Y, Liu L, Liu F, Zhang H (2015). Recent changes in wetlands on the Tibetan Plateau: a review. Journal of Geographical Sciences. 25(7):879-896. [Link] [DOI:10.1007/s11442-015-1208-5]
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Galoie M, Motamedi A. Optimization of Export Coefficient Model Based on Precipitation and Terrain Impact Factors. GeoRes. 2021; 36 (4) :337-346
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