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Updated: Jul 6, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

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印度阿加塔拉城市流域的洪水易感性评估,使用机器学习算法

Jatan Debnath1, Jimmi Debbarma2, Amal Debnath3

  • 1Department of Geography, Gauhati University, Guwahati, Assam, 781014, India. jatandebnathgeo@gmail.com.

Environmental monitoring and assessment
|January 3, 2024
PubMed
概括

机器学习模型有效地绘制了印度洪水易感区的地图. 该研究强调了易受洪水影响的关键地区,帮助决策者制定气候变化适应战略.

关键词:
阿加特拉拉城市流域决策树 决策树是一个决策树.易受洪水影响的易感性机器学习算法 机器学习算法随机的森林随机的森林

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