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An improved SWAT-based computational framework for identifying critical source areas for agricultural pollution at the lake basin scale

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  • Shang, Xiao
  • Wang, Xinze
  • Zhang, Dalei
  • Chen, Weidong
  • Chen, Xuechu
  • Kong, Hainan

Abstract

Soil and Water Assessment Tool (SWAT) model has been successfully used to identify critical source areas (CSAs) at the lake basin scale. However, when employing the well-mixed river channel model, SWAT has difficulty in decomposing the pollutant load at watershed outlet in terms of origin location. In previous studies, the river migration process is not included in the CSAs identification framework. The identification criterion for CSAs mainly based pollutant load releasing into river rather than the final pollutant load flowing into lake. This study is used to develop a new computational framework to address this problem. The SWAT model was used to offer a linkage between pollution input in the upstream watershed and pollutant load response at the watershed outlet. Simulation test was utilized to investigate the pollution contributions from different agricultural activities and from different villages. Combined with the agricultural production statistic data, the pollution contribution from each village was separately calculated, and the cumulative curve of pollution distribution was thus drawn to identify CSAs. We illustrated this method in the Lake Erhai basin, Yunnan province, China. CSAs for N pollution were identified, and a comparison with the existing method was made. The quantitative results indicate that there is a large gap between the pollutant loads released to river and flowed to lake. The river migration process was vital for N degradation so as to significantly influence the final CSAs map. The new method improved the ability of supplying a more comprehensive delineation of CSAs.

Suggested Citation

  • Shang, Xiao & Wang, Xinze & Zhang, Dalei & Chen, Weidong & Chen, Xuechu & Kong, Hainan, 2012. "An improved SWAT-based computational framework for identifying critical source areas for agricultural pollution at the lake basin scale," Ecological Modelling, Elsevier, vol. 226(C), pages 1-10.
    • Handle: RePEc:eee:ecomod:v:226:y:2012:i:c:p:1-10
    DOI: 10.1016/j.ecolmodel.2011.11.030
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    References listed on IDEAS

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    1. Ouyang, Wei & Wang, Xuelei & Hao, Fanghua & Srinivasan, R., 2009. "Temporal-spatial dynamics of vegetation variation on non-point source nutrient pollution," Ecological Modelling, Elsevier, vol. 220(20), pages 2702-2713.
    2. Richard B. Alexander & Richard A. Smith & Gregory E. Schwarz, 2000. "Effect of stream channel size on the delivery of nitrogen to the Gulf of Mexico," Nature, Nature, vol. 403(6771), pages 758-761, February.
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    1. Shan, Nan & Ruan, Xiao-Hong & Xu, Jing & Pan, Zha-Rong, 2014. "Estimating the optimal width of buffer strip for nonpoint source pollution control in the Three Gorges Reservoir Area, China," Ecological Modelling, Elsevier, vol. 276(C), pages 51-63.
    2. Zou, Tingting & Meng, Fanlei & Zhou, Jichen & Ying, Hao & Liu, Xuejun & Hou, Yong & Zhao, Zhengxiong & Zhang, Fusuo & Xu, Wen, 2023. "Quantifying nitrogen and phosphorus losses from crop and livestock production and mitigation potentials in Erhai Lake Basin, China," Agricultural Systems, Elsevier, vol. 211(C).
    3. Niraula, Rewati & Kalin, Latif & Srivastava, Puneet & Anderson, Christopher J., 2013. "Identifying critical source areas of nonpoint source pollution with SWAT and GWLF," Ecological Modelling, Elsevier, vol. 268(C), pages 123-133.
    4. Pokhrel, Bijay & Paudel, Krishna P., 2014. "Assessing the Efficiency of Alternative Best Management Practices to Reduce Nonpoint Source Pollution in the Mississippi-Atchafalaya River Basin (MARB)," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170699, Agricultural and Applied Economics Association.
    5. Ramesh P. Rudra & Balew A. Mekonnen & Rituraj Shukla & Narayan Kumar Shrestha & Pradeep K. Goel & Prasad Daggupati & Asim Biswas, 2020. "Currents Status, Challenges, and Future Directions in Identifying Critical Source Areas for Non-Point Source Pollution in Canadian Conditions," Agriculture, MDPI, vol. 10(10), pages 1-25, October.
    6. Xuekai Chen & Guojian He & Xiaobo Liu & Bogen Li & Wenqi Peng & Fei Dong & Aiping Huang & Weijie Wang & Qiuyue Lian, 2021. "Sub-Watershed Parameter Transplantation Method for Non-Point Source Pollution Estimation in Complex Underlying Surface Environment," Land, MDPI, vol. 10(12), pages 1-25, December.

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