基于人类活动强度的水质监测优化:甘河流域的一个案例研究
Yuan Ying1,2, Bao Ning3,4, Li Lanhui1,2
1College of Computer & Information Engineering, Xiamen University of Technology, Xiamen, 361024, China.
Environmental monitoring and assessment
|November 23, 2025
概括
通过考虑人类活动强度,优化水质监测网络可以提高覆盖率. 这种方法增强了环境规划和决策,以改善流域管理.
科学领域:
- 环境科学 环境科学
- 水资源管理 水资源管理
- 地理信息系统 地理信息系统
背景情况:
- 人类活动密集的地区面临着严重的水质挑战.
- 有效的流域管理需要战略地放置水质监测站点.
- 现有的监测网络可能无法充分反映人类对水体的影响.
研究的目的:
- 开发一种用于优化地表水质量监测横截面布局的新方法.
- 在流域监测网络中最大限度地覆盖人类活动强度.
- 为环境规划和监管决策提供数据驱动的参考.
主要方法:
- 使用人类活动强度和现有的监测数据构建了一个优化模型.
- 将模型应用于甘河流域案例研究.
- 进行了成本效益分析,以增加新的监测截面.
主要成果:
- 优化网络将人类活动强度覆盖率从30.58%提高到36.81%,具有固定数量的横截面.
- 成本效益分析显示,额外的监测站点存在不同的阶段,边际回报也在下降.
- 拟议的方法有效地提高了监控网络的效率.
结论:
- 该研究为优化水质监测网络提供了有价值的方法.
- 考虑到人类活动的强度对于有效的水环境监测至关重要.
- 这些发现支持环境保护和环境管理的知情决策.
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