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| Simulation of non-point source pollution losses from farmland in Yellow River irrigation area of Ningxia |
| Received:April 26, 2022 |
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| KeyWord:Yellow River irrigation area;farmland;non-point source pollution;loss coefficient;model |
| Author Name | Affiliation | E-mail | | SHE Dongli | College of Agricultural Science and Engineering, Hohai University, Nanjing 211100, China | | | HU Lei | College of Agricultural Science and Engineering, Hohai University, Nanjing 211100, China | | | XIA Yongqiu | Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China | yqxia@issas.ac.cn | | LIU Wenjuan | School of Agriculture, Ningxia University, Yinchuan 750021, China | Liuwenjuan1982@126.com | | LI Hong | Ningxia Agricultural Environmental Protection and Monitoring Station, Yinchuan 750002, China | | | MA Jianjun | Ningxia Agricultural Environmental Protection and Monitoring Station, Yinchuan 750002, China | | | MA Kun | School of Ecology and Environment, Ningxia University, Yinchuan 750021, China
Breeding Base for State Key Lab. of Land Degradation and Ecological Restoration in Northwestern China/Key Lab. of Restoration and Reconstruction of Degraded Ecosystems in Northwestern China of Ministry of Education, Ningxia University, Yinchuan 750021, China | |
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| Abstract: |
| To reveal the patterns and spatial distributions of nitrogen and phosphorus losses from farmland in an irrigation area, we built a simplified model of non-point source pollution losses based on the theory of water balance and soil physicochemical adsorption in the Yellow River irrigation area in Ningxia. We then simulated the temporal and spatial patterns of nitrogen and phosphorus losses for wheat, maize, and rice in the irrigated area. The results showed that the variations in losses were large, with the highest losses occurring during spring irrigation for maize and wheat and during tillering stage irrigation for rice. The TN loss in the irrigation area was 887.51 t, to which maize, wheat, and rice contributed 25%, 8%, and 67%, respectively; the average loss coefficient was 1.99%. The TP loss in the irrigated area was 48.05 t, to which maize, wheat, and rice contributed 19%, 18%, and 63%, respectively; the average loss coefficient was 0.15%. The largest nitrogen and phosphorus losses occurred in Pingluo County compared with those in other counties; we found the largest nitrogen and phosphorus loss coefficients in Xingqing District compared with those in the other counties. Central Yongning County and the eastern Yellow River were hotspots for nitrogen and phosphorus losses. In conclusion, we found that our model reflected the effects of farmland management, precipitation, and soil conditions on the volume and concentration of nitrogen and phosphorus in drainage water. Moreover, the model has few parameters and a clear physical mechanism. Therefore, the model may be used to simulate non-point source pollution losses from farmland in the irrigated Yellow River area of Ningxia. |
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