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- W3113012602 abstract "Acute hydrological natural hazards, such as floods, not only affect the lives and properties of people but also cause severe damage to the critical infrastructures, which needs to be function even in substandard situations. Therefore, it is significant to predict the flood-prone areas for understanding how critical infrastructures are exposed to massive flooding. For this aim, flood-prone areas and their susceptibility are mapped using machine learning techniques including boosted regression tree (BRT) and generalized linear model (GLM) with the help of Sentinel 3 satellite images in Google Earth Engine. The BRT model achieved the highest precision (AUC = 81.10%) in comparison to GLM (AUC = 78.30%) and was utilized for evaluating the flood risk on critical infrastructures. In addition, the flood risk in four large and famous watersheds, namely Zohre, Dorodzan, Tashk-Bakhtegan, and Qareagaj located in Fars Province was analyzed, among which Zohre had the highest risk to flooding. The assessment of flood risk on critical infrastructures, such as hospitals, pharmacies, banks, fire stations, automated teller machines, fuel stations, speed cameras, and mosques located in Shiraz County (capital of Fars Province) disclosed that these structures had high and very high flood hazard. The evaluation of flood risk on schools situated in nine most populated cities of Fars Province was also carried out, which revealed that Shiraz had the maximum percentage (92.98%) and Marvdasht had the least percentage (60.75%) of schools that fall under very high risk. This article aids the decision makers in better planning for flood resilience and risk management." @default.
- W3113012602 created "2020-12-21" @default.
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- W3113012602 date "2021-01-01" @default.
- W3113012602 modified "2023-10-17" @default.
- W3113012602 title "Assessment of Urban Infrastructures Exposed to Flood Using Susceptibility Map and Google Earth Engine" @default.
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- W3113012602 cites W1973462599 @default.
- W3113012602 cites W1975914988 @default.
- W3113012602 cites W1980796057 @default.
- W3113012602 cites W1981316911 @default.
- W3113012602 cites W1983807604 @default.
- W3113012602 cites W1993934953 @default.
- W3113012602 cites W1996516375 @default.
- W3113012602 cites W2008308809 @default.
- W3113012602 cites W2018780093 @default.
- W3113012602 cites W2020343319 @default.
- W3113012602 cites W2024524983 @default.
- W3113012602 cites W2027386095 @default.
- W3113012602 cites W2042315239 @default.
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- W3113012602 cites W2138612078 @default.
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- W3113012602 cites W2225976211 @default.
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- W3113012602 cites W2322572520 @default.
- W3113012602 cites W2408377373 @default.
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- W3113012602 doi "https://doi.org/10.1109/jstars.2020.3045278" @default.
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