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Updated: May 4, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

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基于机器学习的综合优化框架,用于地表水质量指数,比较中国广西的沿海和非沿海情况

Xizhi Nong1, Fengcheng He2, Lihua Chen2

  • 1College of Civil Engineering and Architecture, Guangxi University, Nanning 530004, China; State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China.

Marine pollution bulletin
|February 4, 2025
PubMed
概括

这项研究开发了一个先进的水质指数 (WQI) 模型,使用机器学习进行地表水的评估. 优化的框架确定了中国广西的水质"好"到"中等",非沿海地区的表现更好.

关键词:
沿海地区沿海地区机器学习是机器学习.表面的水是表面的水.评价水质水质的评估.水质指数是指水的质量指数.

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