Application of entropy weighting method for urban flood hazard mapping

Acta Geophysica

article

Malekinezhad, Hossein¹  Sepehri, Mehdi¹  Pham, Quoc Bao²  Hosseini, Seyed Zeynalabedin¹  Meshram, Sarita Gajbhiye³  Vojtek, Matej⁵  Vojteková, Jana⁵ 

[1] Department of Watershed Management, Faculty of Natural Resources, Yazd University;Atmospheric Science and Climate Change Research Group, Ton Duc Thang University;Faculty of Environment and Labour Safety, Ton Duc Thang University;Department for Management of Science and Technology Development, Ton Duc Thang University;Department of Geography and Regional Development, Faculty of Natural Sciences, Constantine the Philosopher University in Nitra

关键词: Urban flood;    Susceptibility mapping;    Rényi entropy;    Entropy weighting;    Multi-criteria decision-making;   

DOI  :  10.1007/s11600-021-00586-6

学科分类：地球科学(综合)

来源: Polska Akademia Nauk * Instytut Geofizyki

【 摘 要 】

Flooding is one of the most frequently occurring natural hazards worldwide. Mapping and assessment of possible flood hazards are critical components of the evaluation and mitigation of flood risk. In this study, six flood-related indices, i.e., slope, elevation, distance to discharge channel, runoff volume, street-drainage network intersection, index of the development and persistence of the drainage network (IDPR), were used to assess the flood hazard. The entropy weighting method was used for assigning the weights to flood-related indices and combining them to prepare urban flood hazard mapping in Hamadan city. The produced map showed that nearly 20% of the study area (14.7 km2) corresponded to very high susceptibility to flooding, 19.4% (143 km2) to high susceptibility and 20.3%, 20.7% and 19.6% regard the moderate, low and very low susceptibility to flooding, respectively. Finally, two methods were used to evaluate the accuracy of the produced flood susceptibility map. The first method is related to assessing the behavior of the map by making and propagating error in flood-related indices and used model (entropy weighting method), and the second method is superimposing method. The results showed that by making and propagation of error, the behavior of producing flood susceptibility mapping, the produced map has a robust behavior either in ranking importance of flood-related indices and percentage of flood susceptibility areas. On the other hand, regarding the result of the superimposing method, the accuracy of the flood susceptibility map was 72%, which also suggests an acceptable result.

【 授权许可】

Unknown