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Updated: Jun 27, 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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评估机器学习算法和新的混合多标准分析,用于洪水危险和绘制地图

Karim Solaimani1, Shadman Darvishi2, Fatemeh Shokrian3

  • 1Department of Watershed Management, Sari Agricultural Sciences and Natural Resources University, Sari, Mazandaran, Iran. solaimani2001@yahoo.co.uk.

Environmental science and pollution research international
|April 26, 2024
PubMed
概括

伊朗每年的洪水造成了重大损失. 2019年戈尔根河流和阿特拉克河流盆地洪水突出显示,需要使用遥感和混合模型进行有效的洪水危险测绘,以更好地管理.

关键词:
在FBWM-WMCA模型中,洪水的危险 洪水的危险伊朗 伊朗 伊朗 伊朗随机森林 (RF) 是一个随机的森林.卫星 卫星 卫星 卫星 卫星 卫星 卫星支持矢量机器 (SVM) 是一个支持矢量机器.

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