首页> 外文会议>Asian conference on remote sensing;ACRS >FLOOD HAZARD ASSESSMENT USING FUZZY ANALYTIC HIERARCHY PROCESS: A CASE STUDY OF BANG RAKAM MODEL IN THAILAND
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FLOOD HAZARD ASSESSMENT USING FUZZY ANALYTIC HIERARCHY PROCESS: A CASE STUDY OF BANG RAKAM MODEL IN THAILAND

机译:基于模糊层次分析法的洪灾危害评估-以泰国邦拉卡姆模型为例。

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Flood is a natural hazard with the highest frequency and the widest geographic distribution across the globe that generally affects people's lives and the ecosystem, causing catastrophic disasters. Flood is the most fatal and frequent in Thailand, where people are affected annually. In 2011, Thailand has experienced the worst flood, which makes the floods one of the top five significant natural disaster events in modern history. Therefore, the flood hazard assessment is a fundamental pre-requisite for flood risk assessment. In this study, the combination of Fuzzy Analytic Hierarchy Process (Fuzzy AHP) based on Chang's extent analysis (Chang, 1996) and Geographical Infonnation Systems (GIS) were used to assess flood hazard by comparison the elevation effects between from Shuttle Radar Topography Mission Digital Elevation Model (SRTM DEM) and Light Detection and Ranging (LiDAR). The study area is "Bang Rakam Model 60" project. Designed as a retention area for the Yom river, this project was launched by the Royal Irrigation Department (RID) as a guideline model to solve flood problems for the central region and Bangkok. Eight factors were considered for flood hazard assessment including 1) distance from drainage network 2) drainage density 3) elevation 4) flow accumulation 5) land use 6) slope 7) soil water infiltration 8) average annual rainfall. Each factor was weighted to obtain the final flood hazard map. The accuracy of the method has been validated with the repeated floods area data, which is the product from the Geo-Informatics and Space Technology Development Agency (GISTDA). The very high flood hazard areas were found near the drainage network. Important supporting factors to flood hazard are flow accumulation, elevation, and soil water infiltration (same weights), distance from drainage network, average annual rainfall, drainage density, land use, and slope, respectively.
机译:洪水是一种自然灾害,在全球范围内发生频率最高,地理分布最广泛,通常会影响人们的生活和生态系统,并造成灾难性灾难。在泰国,洪灾是最致命,最频繁的地区,每年都有人受灾。 2011年,泰国经历了最严重的洪灾,这使洪灾成为现代历史上前五名重大自然灾害事件之一。因此,洪水灾害评估是洪水风险评估的基本前提。在这项研究中,基于Chang的程度分析(Chang,1996)和地理信息系统(GIS)的模糊层次分析法(Fuzzy AHP)相结合,通过比较穿梭雷达地形任务数字系统的高程效应来评估洪水灾害。高程模型(SRTM DEM)和光检测与测距(LiDAR)。研究区域是“ Bang Rakam 60型”项目。该项目被设计为约姆河的保留区,由皇家灌溉部门(RID)发起,作为解决中部地区和曼谷洪水问题的指导模型。洪水危害评估考虑了八个因素,包括1)距排水网络的距离2)排水密度3)海拔4)流量积聚5)土地利用6)坡度7)土壤水分入渗8)年平均降雨量。对每个因素进行加权以获得最终的洪水灾害图。该方法的准确性已通过重复的洪水区域数据进行了验证,该数据是由地理信息和空间技术开发局(GISTDA)提供的。在排水管网附近发现了很高的洪灾危险区。造成洪灾危险的重要支持因素分别是流量积聚,海拔升高和土壤水分入渗(权重相同),距排水网络的距离,年平均降雨量,排水密度,土地利用和坡度。

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