当前位置: X-MOL 学术Acta Geophys. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Application of entropy weighting method for urban flood hazard mapping
Acta Geophysica ( IF 2.0 ) Pub Date : 2021-05-03 , DOI: 10.1007/s11600-021-00586-6
Hossein Malekinezhad , Mehdi Sepehri , Quoc Bao Pham , Seyed Zeynalabedin Hosseini , Sarita Gajbhiye Meshram , Matej Vojtek , Jana Vojteková

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.



中文翻译:

熵权法在城市洪水灾害制图中的应用

洪水是全球最频繁发生的自然灾害之一。绘制和评估可能的洪灾危害是评估和减轻洪灾风险的关键组成部分。在这项研究中,使用了六个与洪水有关的指标,即坡度,海拔,到排水渠的距离,径流量,街道-排水管网的交叉点,排水管网的发展和持久性指数(IDPR)来评估洪水。冒险。利用熵权法对与洪水相关的指标进行权重分配,并将其结合起来,以编制出哈马丹市的城市洪灾灾害地图。生成的地图显示,研究区域的近20%(14.7 km 2)对应于洪水泛滥的敏感性很高,为19.4%(143 km 2))的高敏感性和20.3%,20.7%和19.6%分别认为中等,低和非常低的洪水敏感性。最后,使用两种方法来评估生成的洪水敏感性图的准确性。第一种方法是通过在洪水相关指标和使用的模型中制造和传播误差来评估地图的行为(熵权重方法),第二种方法是叠加方法。结果表明,通过误差的产生和传播,产生洪水敏感性图的行为,所产生的地图在洪水相关指标的重要性排名和洪水敏感性区域的百分比方面都具有鲁棒的行为。另一方面,关于叠加方法的结果,洪水敏感性图的准确性为72%,

更新日期:2021-05-03
down
wechat
bug