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基于对位于中国江流域的小流域的灵敏度分析的污染负载的时空空间特征和多尺度风险识别
Mingyue Su1, Min Fan2,3, Tao Song1
1School of Environment and Resources, Southwest University of Science and Technology, Mianyang, 621010, China.
Environmental monitoring and assessment
|August 9, 2024
概括
从小流域的污染负载在2010-2021年期间显著下降. 畜牧业和家禽养殖被确定为关键污染源,特别是在京阳区,突出了有针对性的流域管理的关键领域.
科学领域:
- 环境科学 环境科学
- 水资源管理 水资源管理
- 生态系统健康 生态系统健康
背景情况:
- 有效的水资源管理对于社会经济发展和生态完整性至关重要.
- 之前关于污染负荷的研究主要集中在外部驱动因素上,忽视了内部污染源变化的影响.
- 了解小流域的关键污染源对于有针对性的环境保护和管理策略至关重要.
研究的目的:
- 识别和量化影响小流域的关键污染源.
- 分析污染源变化对总污染负载的影响.
- 确定图江河流域流域污染高风险地区.
主要方法:
- 污染物排放系数方法用于量化非点源污染负载 (2010-2021年).
- 灵敏度分析,以确定不同污染源对总负载的影响.
- Getis-Ord Gi*进行空间分析,以在多个尺度上识别关键来源和高风险区域.
主要成果:
- 从2010年到2021年,化学氧气需求 (COD),氨 (NH3-N),总 (TN) 和总 (TP) 的污染负载分别下降了18.3%,16.2%,18.6%和28.1%.
- 畜牧业和家禽养殖成为流域大部分地区最重要的污染源.
- 高风险污染地区集中在京阳区和周边城镇,从低风险地区向高风险地区过渡的趋势以及污染溢出的证据.
结论:
- 在研究的小流域中,非点源污染负载显示出明显的下降趋势.
- 畜牧业和家禽养殖是小水域污染控制工作的关键目标.
- 针对京阳区和类似高风险地区的有针对性的管理策略对于有效的非点源污染控制和流域健康至关重要.
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