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Temporal-spatial dynamics of vegetation variation on non-point source nutrient pollution

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  • Ouyang, Wei
  • Wang, Xuelei
  • Hao, Fanghua
  • Srinivasan, R.

Abstract

The temporal-spatial interaction of land cover and non-point source (NPS) nutrient pollution were analyzed with the Soil and Water Assessment Tool (SWAT) to simulate the temporal-spatial features of NPS nutrient loading in the upper stream of the Yellow River catchment. The corresponding land cover data variance was expressed by the normalized difference vegetation index (NDVI) that was calculated from MODIS images. It was noted that the temporal variation of land cover NDVI was significantly correlated with NPS nutrient loading. The regression analysis indicated that vegetation not only detained NPS nutrient pollution transportation, but also contributed to sustainable loading. The temporal analysis also confirmed that regional NDVI was an effective index for monthly assessment of NPS nitrogen and phosphorus loading. The spatial variations of NPS nutrient loading can be classified with land cover status. The high loadings of NPS nitrogen in high NDVI subbasins indicated that forestry and farmland are the main critical loss areas. Farmland contributed sustainable soluble N, but the loading of soluble and organic N from grassland subbasins was much lower. Most P loading came from the areas covered with dense grassland and forestry, which cannot directly discharge to local water bodies. However, some NPS phosphorus from suburban farmland can directly discharge into adjacent water bodies. The interactions among nutrient loading, NDVI, and slope were also analyzed. This study confirmed that the integration of NPS modeling, geographic information systems, and remote sensing is needed to understand the interactive dynamics of NPS nutrient loading. Understanding the temporal-spatial variation of NPS nutrients and their correlations with land cover will help NPS pollution prevention and water quality management efforts. Therefore, the proposed method for evaluating NPS nutrient loading by land cover NDVI can be an effective tool for pollution evaluation and watersheds planning.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ecomod:v:220:y:2009:i:20:p:2702-2713
    DOI: 10.1016/j.ecolmodel.2009.06.039
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    References listed on IDEAS

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    1. Gowda, Prasanna H. & Mulla, David J. & Jaynes, Dan B., 2008. "Simulated long-term nitrogen losses for a midwestern agricultural watershed in the United States," Agricultural Water Management, Elsevier, vol. 95(5), pages 616-624, May.
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    Cited by:

    1. Zhang, H. & Huang, G.H., 2011. "Assessment of non-point source pollution using a spatial multicriteria analysis approach," Ecological Modelling, Elsevier, vol. 222(2), pages 313-321.
    2. 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.
    3. Wei Ouyang & Fanghua Hao & Kaiyu Song & Xuan Zhang, 2011. "Cascade Dam-Induced Hydrological Disturbance and Environmental Impact in the Upper Stream of the Yellow River," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(3), pages 913-927, February.
    4. Yang, Shengtian & Dong, Guotao & Zheng, Donghai & Xiao, Honglin & Gao, Yunfei & Lang, Yang, 2011. "Coupling Xinanjiang model and SWAT to simulate agricultural non-point source pollution in Songtao watershed of Hainan, China," Ecological Modelling, Elsevier, vol. 222(20), pages 3701-3717.

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