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Updated: May 22, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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Published on: July 24, 2016

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长期的水质模拟和驱动因素的识别在流域规模内,使用机器学习

Mingxuan Zhao1, Chunzi Ma2, Hanxiao Zhang3

  • 1Beijing Normal University, Beijing 100875, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.

Journal of contaminant hydrology
|May 20, 2025
PubMed
概括

中国河流域的水质显示出混合的趋势. 虽然大多数参数有所改善,但由于农业和城市活动,受气候和地理因素的影响,总气增加.

关键词:
河流域盆地 河流域机器学习是机器学习.空间时间演变.地表水的质量表现如何?

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