基于夜间光遥感数据的河流污染压力的全球风险评估
Yesen Liu1, Yaohuan Huang2, Yuanyuan Liu1
1State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; Key Laboratory of River Basin Digital Twinning of Ministry of Water Resources, Beijing 100038, China.
The Science of the total environment
|July 31, 2024
概括
全球河流污染风险 (RPS) 正在增加,特别是在2010年之后,区域差异很大. 夜间照明 (NTL) 数据提供了一种新的方法,可以随着时间的推移跟踪这个环境压力指标.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 地理空间分析的研究.
背景情况:
- 河流污染是与人类活动相关的关键环境问题,但全球范围的评估受到数据限制的阻碍.
- 夜间光 (NTL) 遥感数据为人类活动提供了可行的代理,使得可以估计河流污染压力 (RPS).
研究的目的:
- 开发和应用一种新的污染压力指数 (PI) 来评估全球河流污染压力 (RPS).
- 使用NTL数据分析2000年至2022年RPS的时空动态.
- 用实证水质数据验证基于NTL的方法.
主要方法:
- 开发一个包含水流积累的河流污染压力指数 (PI).
- 使用NTL数据 (2000-2022) 计算全球超过670万条河流的PI.
- 使用来自中国2000多个河段的水质数据验证PI.
主要成果:
- 全球RPS表现出不均的空间变化,西向东的迁移趋势.
- 自2000年以来,RPS的风险在全球范围内增加,在2010年之后加速,中亚和东南亚,东亚和中国东部的快速增长.
- 发达国家,发展中国家和欠发达国家分别呈现高/缓慢增长,中等/快速增长和低/缓慢增长的RPS,但日本这样的例外显示RPS下降.
结论:
- NTL数据是评估全球河流污染压力 (RPS) 风险的宝贵工具.
- 在RPS的时空变化与全球经济和地缘政治事件相关.
- 该研究提供了一种可扩展的方法来监测河流的健康状况,并为环境政策提供信息.
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