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Updated: Jun 20, 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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整合机器学习和地理空间数据分析,以进行全面的洪水危险评估.

Chiranjit Singha1, Vikas Kumar Rana2, Quoc Bao Pham3

  • 1Department of Agricultural Engineering, Institute of Agriculture, Visva-Bharati (A Central University), Sriniketan, Birbhum, West Bengal, 731236, India.

Environmental science and pollution research international
|July 19, 2024
PubMed
概括

这项研究开发了一种先进的机器学习框架,用于评估印度西孟加拉邦的洪水危险. 结果显示,海拔和降水是关键因素,17.2-18.6%的地区高度易受洪水影响.

关键词:
评估洪水的情况.造成洪水的条件因素.机器学习 机器学习遥感是一种远程传感.

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