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| DOI：10.13522/j.cnki.ggps.2019046 |
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| Using SWAT model to analyze non-point pollution in beiru river basin |
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YUAN Yuan, SHI Mengmeng, LI Huiping, SHI Beibei, WU Mingzuo
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College of Forestry, Henan Agricultural University, Zhengzhou 450002, China
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| Abstract: |
| 【Objective】Non-point pollution is a great environmental concern in many countries and understanding its spatiotemporal change at catchment scale is essential to better manage it. We present a method in this paper to identify non-pollution source at regional scale by using Beiru River Basin as an example.【Method】Spatial and topographic data collected from the basin was analyzed using ArcGIS and ENVI, and the results were then, along with other data, used to construct the database for the SWAT model. We applied the model to simulate temporal dynamics and spatial distribution of non-point source pollution in the basin from 2001—2015 based on the land use data in 2001 and 2014.【Result】The SWAT model was able to simulate the non-point pollution in the basin, and its R2 and Ens in calibration and verification were both higher than 0.68. The basin can be divided into 70 sub-regions and 490 hydrological response units in the SWAP model. Using the land use data in 2001 and 2014, the sediment, total nitrogen and total phosphorus simulated by the model in the basin were 29 088.761 t/a, 78 870.342 t/a and 1 025.753 t/a respectively for 2014, and 25 315.033 t/a, 70 560.752 t/a and 1 207.841 t/a respectively for 2014. Apart from total phosphorus load, which increased slightly, other loads decreased simultaneously in 2014.【Conclusion】The load of non-point source pollution in Beiru River basin was severe in flooding season, and areas that need pollution control are the cultivated land and the east and central part of the basin that are densely populated. But there is a sign that the pollution has been migrating eastwards. |
| Key words: Non-point pollution; SWAT model; Key polluted region; Beiru River watershed |
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