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| Loss characteristics and risk assessment of agricultural non-point source pollution in the middle and lower Yangtze region |
| Received:October 04, 2024 |
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| KeyWord:agricultural non-point sources pollution;DPeRS model;pollution risk;remote sensing;middle and lower Yangtze region |
| Author Name | Affiliation | E-mail | | HAO Xin | Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China | | | GAO Jixi | Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China | | | XIE Chengyu | Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China | | | HUANG Li | Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China | | | WANG Xuelei | Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China | wxlbnu@163.com | | LU Ying | Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China | |
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| Abstract: |
| In order to explore characteristics of agricultural non-point source pollution in the middle and lower Yangtze region, the diffuse pollution estimation with remote sensing model（DPeRS）was used to calculate agricultural non-point source pollution loads in this study. And pollution risk assessment method considering pollution thresholds was developed to identify high risk area of agricultural non-point source pollution. Furthermore, the influencing factors of agricultural non-point source pollution were analyzed. In 2023, the total nitrogen and phosphorus loads of agricultural non-point sources pollution in the middle and lower Yangtze region were 10.70 kg·hm-2 and 0.50 kg· hm-2, respectively. And the high agricultural non-point source pollution areas were mainly distributed in Hunan, Hubei, Jiangxi and Jiangsu provinces. The proportions of agricultural non-point source pollution with slight, mild, moderate, strong, severe and extremely severe pollution risks were 30.33%, 43.66%, 15.96%, 4.70%, 2.25% and 3.10%, respectively. The statistical analysis showed that precipitation and fractional vegetation cover were key influencing factors of agricultural non-point source pollution. The correlation coefficients between precipitation and agricultural non-point source total nitrogen load in Anhui, Hunan and Jiangsu provinces were higher than 0.18（P<0.05）, and the correlation coefficient between fractional vegetation cover and agricultural non-point source total phosphorus load in Jiangxi Province was -0.21（P<0.01）. Results indicate that high-intensity agricultural activities and high precipitation increase the pollution risk of agricultural non-point source pollution in the middle and lower Yangtze region. The combination of agricultural non-point source pollution loads and water pollution thresholds can improve the accurate identification of high risk areas and provide valuable information for formulating effective agricultural non-point source pollution management strategies. |
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