Performance measures of frequency ratio, weight of evidence and AHP models for flood risk assessment of Panchganga river basin (PRB), Kolhapur (India)

Q4 Engineering
P. N. Pusdekar, Dr. Sanjay Vasant Dudul
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引用次数: 0

Abstract

Flood events are the most common and frequent natural disasters causing enormous loss to property and life worldwide. In this study, the Panchganga River Basin (PRB) was selected for flood susceptibility mapping using the frequency ratio (FR), weight of evidence (WoE) and Analytical Hierarchy Process (AHP) model with remote sensing and GIS based approach. For this, a flood inventory with 224 historic flood locations was prepared using Google Earth Engine. About 75% of flood locations were randomly selected for training and 25% for testing purposes. The flood susceptibility map prepared using FR, WoE and AHP model was classified into five zones such as very high, high, moderate, low risk and safe zone using ArcGIS software. The receiver operating characteristic (ROC) curves were plotted with area under curve (AUC) of 89.27%, 87.34% and 80.60% for FR, WoE and AHP models respectively. The present study will help people near Panchganga river to move to a safer place during flooding. The flood risk zone maps are extremely helpful in infrastructural developments, town planning and civil protection.
印度Kolhapur Panchganga河流域(PRB)洪水风险评估的频率比、证据权重和AHP模型的性能测量
洪水事件是世界范围内最常见、最频繁的自然灾害,造成了巨大的财产和生命损失。在本研究中,选择Panchganga河流域(PRB)进行洪水敏感性绘图,使用频率比(FR)、证据权重(WoE)和层次分析法(AHP)模型,结合遥感和基于GIS的方法。为此,使用谷歌地球引擎编制了一份包含224个历史洪水地点的洪水清单。大约75%的洪水地点被随机选择用于训练,25%用于测试。利用ArcGIS软件,将FR、WoE和AHP模型编制的洪水敏感性图划分为极高、高、中、低风险和安全区五个区域。FR、WoE和AHP模型的受试者工作特性(ROC)曲线的曲线下面积(AUC)分别为89.27%、87.34%和80.60%。目前的研究将帮助Panchganga河附近的人们在洪水期间转移到更安全的地方。洪水风险区地图对基础设施发展、城市规划和公民保护非常有帮助。
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来源期刊
Disaster Advances
Disaster Advances 地学-地球科学综合
CiteScore
0.70
自引率
0.00%
发文量
57
审稿时长
3.5 months
期刊介绍: Information not localized
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