估计河流极端营养物流模式及其控制因素在珍珠河,中国
Hao Cheng1, Qingping Du1, Wei Gao2
1Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, School of Ecology, Environment and Resources, Guangdong University of Technology, 100 West Waihuan Road, Guangzhou, 510006, People's Republic of China.
Environmental monitoring and assessment
|July 12, 2025
概括
珍珠河的极端和污染是由人类活动驱动的. 分析这些极端流动事件对于减轻流域污染和保护中国南部的水源至关重要.
科学领域:
- 环境科学 环境科学
- 水文学的水文学
- 水质管理水质管理
背景情况:
- 过度的 (N) 和 (P) 负载严重影响水生生态系统.
- 了解河流极端流量变化及其驱动因素对于有效减轻流域污染至关重要.
研究的目的:
- 分析N和P流量变化,并确定珍珠河流域的驱动因素.
- 调查极端高流量事件及其与人为活动的关系.
主要方法:
- 使用负载估计器 (LOADEST) 模型 (2014-2018) 模拟的每日N和P流量.
- 通过随机森林模型识别了极端高流量事件 (第95百分位数),并分析了驱动因素.
主要成果:
- 珍珠河主干N和P流量:每年58.1万和每年17.7万 (2014-2018年).
- 江河贡献了NP总投入的77.5%;流量下游增加.
- 极端NP流动事件与人为净输入 (NANI),人为净输入 (NAPI) 和土地使用相关.
结论:
- 人类活动是极端NP流动事件和空间分布的主要驱动因素.
- 点源污染显著影响高NP负载的空间变化.
- 这些发现对于在珍珠河流域有针对性的污染控制和流域管理至关重要.
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