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A modeling approach to evaluating the impacts of policy-induced land management practices on non-point source pollution: A case study of the Liuxi River watershed, China

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  • Jiang, Jingyuan
  • Li, Shiyu
  • Hu, Jiatang
  • Huang, Jia

Abstract

Conservation tillage and fertilization based on soil test have been promoted by the Chinese government in recent years. Their impacts on non-point source pollution were simulated using the Soil and Water Assessment Tool (SWAT) for the Liuxi River watershed, the only one local drinking-water-supply river basin of Guangzhou. The model was calibrated through comparing model outputs with observations to ensure reliable hydrologic, crop yield, and water quality simulations. The model results indicated that, 5% of total nitrogen (TN) load and 12% of total phosphorus (TP) load could be reduced at the watershed outlet by implementing the conservation tillage system of “rice parachute transplanting with no-tillage and straw mulching” for paddy rice fields which account for 9% of the watershed area. It is valuable to develop conservation tillage systems suitable for other types of agricultural land in southern China. When modeling the impacts of various fertilization levels derived from recommended fertilizer doses for medium fertility soil of the Pearl River Delta region where the watershed is located, the total crop yield was estimated to decrease by only 2% for up to 24% and 28% reduction in TN and TP loads at the watershed scale, respectively. The crop yields versus nutrient losses relationship simulated by SWAT indicated that great effects in TN and TP loads reduction could be achieved at the expense of minimal impacts on crop yield through optimal fertilization. The modeling approach presented in this study can be a useful tool for estimating the effects of policy instruments and pollution control measures.

Suggested Citation

  • Jiang, Jingyuan & Li, Shiyu & Hu, Jiatang & Huang, Jia, 2014. "A modeling approach to evaluating the impacts of policy-induced land management practices on non-point source pollution: A case study of the Liuxi River watershed, China," Agricultural Water Management, Elsevier, vol. 131(C), pages 1-16.
    • Handle: RePEc:eee:agiwat:v:131:y:2014:i:c:p:1-16
    DOI: 10.1016/j.agwat.2013.09.005
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    References listed on IDEAS

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    1. Liu, Ruimin & Zhang, Peipei & Wang, Xiujuan & Chen, Yaxin & Shen, Zhenyao, 2013. "Assessment of effects of best management practices on agricultural non-point source pollution in Xiangxi River watershed," Agricultural Water Management, Elsevier, vol. 117(C), pages 9-18.
    2. Ullrich, Antje & Volk, Martin, 2009. "Application of the Soil and Water Assessment Tool (SWAT) to predict the impact of alternative management practices on water quality and quantity," Agricultural Water Management, Elsevier, vol. 96(8), pages 1207-1217, August.
    3. Gassman, Philip W. & Reyes, Manuel R. & Green, Colleen H. & Arnold, Jeffrey G., 2007. "The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions," ISU General Staff Papers 200701010800001027, Iowa State University, Department of Economics.
    4. Su, Ziyou & Zhang, Jinsong & Wu, Wenliang & Cai, Dianxiong & Lv, Junjie & Jiang, Guanghui & Huang, Jian & Gao, Jun & Hartmann, Roger & Gabriels, Donald, 2007. "Effects of conservation tillage practices on winter wheat water-use efficiency and crop yield on the Loess Plateau, China," Agricultural Water Management, Elsevier, vol. 87(3), pages 307-314, February.
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    Cited by:

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    2. Zhang, XiaoHong & Pan, HengYu & Cao, Jun & Li, JinRong, 2015. "Energy consumption of China’s crop production system and the related emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 111-125.
    3. Zhang, J.L. & Li, Y.P. & Wang, C.X. & Huang, G.H., 2015. "An inexact simulation-based stochastic optimization method for identifying effluent trading strategies of agricultural nonpoint sources," Agricultural Water Management, Elsevier, vol. 152(C), pages 72-90.

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