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采用多来源数据的综合方法,有效监测城市河流的污染风险:杭州的案例研究
1Faculty of Environmental Engineering, The University of Kitakyushu, Kitakyushu, Japan; Hangzhou Urban Planning and Design Institute, Hangzhou, China
概括
在杭州的城市河流污染显示温和水平,氨 (NH3-N) 是一个关键的风险因素. 一个新的管理系统显示,测量风险正在下降,但效应风险在增加,特别是在发展中国家.
科学领域:
- 环境科学 环境科学
- 城市规划 城市规划
- 水资源管理 水资源管理
背景情况:
- 快速的城市化对可持续的城市发展带来了重大挑战,特别是在水污染方面.
- 有效的河流污染风险管理对于保持健康的城市生态系统和公共福祉至关重要.
研究的目的:
- 为城市地区开发和应用综合性河流污染风险管理系统.
- 确定城市河流污染的关键风险因素,来源和时空模式,在中国杭州.
主要方法:
- 开发一个多源数据集成系统,用于风险识别,预警和控制.
- 该系统应用于中国杭州城市河流的案例研究.
- 分析水质的测量和影响值,风险因素和时空趋势.
主要成果:
- 杭州的城市河流呈现轻度污染水平 (测量值1.01,影响值1.14).
- 氨 (NH3-N) 被确定为主要的风险因素,主要来源是监督和土地利用不足.
- 虽然自2012年以来测量到的水质风险有所减少 (集中在建筑区),但效应风险有所增加,特别是在新的城市中心.
结论:
- 开发的系统为城市河流污染风险管理提供了一个全面的方法.
- 调查结果强调需要有针对性的污染控制战略,包括生态康复,工艺监督和管道末端管理.
- 该研究为快速城市化地区的可持续城市规划和水资源管理提供了宝贵的见解.
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