| 郝新,高吉喜,谢成玉,黄莉,王雪蕾,逯颖.长江中下游地区农业面源污染流失特征及风险评价[J].农业环境科学学报,2024,43(12):2765-2775. |
| 长江中下游地区农业面源污染流失特征及风险评价 |
| Loss characteristics and risk assessment of agricultural non-point source pollution in the middle and lower Yangtze region |
| 投稿时间：2024-10-04 |
| DOI：10.11654/jaes.2024-0913 |
| 中文关键词: 农业面源污染 DPeRS模型 污染风险 遥感 长江中下游 |
| 英文关键词: agricultural non-point sources pollution DPeRS model pollution risk remote sensing middle and lower Yangtze region |
| 基金项目:国家自然科学基金联合基金项目（U23A2015） |
|
| 摘要点击次数: 708 |
| 全文下载次数: 511 |
| 中文摘要: |
| 为探究长江中下游地区农业面源污染特征，本研究采用遥感分布式面源污染评估模型（DPeRS）核算了长江中下游地区农业面源污染入河量，耦合地表水污染物受纳阈值构建了农业面源污染风险评价方法，识别了农业面源污染高风险区，并探讨分析了农业面源污染影响因子。结果表明：2023年长江中下游地区农业面源总氮和总磷平均流失负荷分别为10.70 kg·hm-2和0.50kg·hm-2，农业面源污染高负荷区域主要分布在湖南省、湖北省、江西省和江苏省；农业面源污染为微度、轻度、中度、强度、重度和极重污染风险的占比分别为30.33%、43.66%、15.96%、4.70%、2.25%和3.10%；降雨量和植被覆盖度是长江中下游地区农业面源污染的关键影响因素，安徽省、湖南省和江苏省的降雨量与农业面源总氮流失负荷相关系数均超过0.18（P<0.05），江西省植被覆盖度与农业面源总磷流失负荷相关系数为-0.21（P<0.01）。研究表明，高强度农业活动和高降雨量增加了长江中下游地区农业面源污染风险，考虑地表水纳污能力的农业面源污染风险评价方法更有利于高风险区的精准识别，可为农业面源污染的精准防控提供技术支撑。 |
| 英文摘要: |
| 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. |
| HTML
查看全文
查看/发表评论 下载PDF阅读器 |
|
|
|
