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Updated: Jun 18, 2025

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
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通过将水质模型与机器学习相结合,在中下长江增加了污染负载

Sheng Huang1, Jun Xia2, Yueling Wang3

  • 1State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China; Institute for Water-Carbon Cycles & Carbon Neutrality, Wuhan University, Wuhan 430072, China; Department of Civil and Environmental Engineering, National University of Singapore, 117578, Singapore.

Water research
|August 4, 2024
PubMed
概括

结合水力动力学和机器学习方法的新模型准确估计了长江的污染负载. 人类活动是主要的污染源,受到温度,日期和降水的影响.

关键词:
人类活动是人类活动.有门的经常性单位.机器学习 机器学习造成污染的负载.长江是长江的一条河流.水质模型的水质模型.

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