{"title":"基于清查洪水数据的省域沉降盆地洪水易感性分析","authors":"İmren Kuşcu, Hasan Ozdemir","doi":"10.1007/s12665-024-11988-2","DOIUrl":null,"url":null,"abstract":"<div><p>Settlements have been exposed to various disasters depending on their location and characteristics. One of these disasters is flooding, which affects the most widespread areas globally and causes significant economic loss. Numerous studies have been conducted at various scales, and different methods have been used to understand and mitigate the effects of floods. None of these studies conducted flood susceptibility analyses for settlement basins on a provincial scale using parameters derived from inventory basins. This study aims to determine the flood susceptibility of the settlements and their basins located along riversides and valley floors at the provincial scale based on the predominant morphometric characteristics of settlement basins that have previously experienced floods. For this purpose, a flood susceptibility analysis was conducted on 483 basins of 344 settlements located along riversides and valley floor morphologies out of 735 settlements in the province of Bursa (Türkiye). Among the morphometric and surface parameters frequently used in the literature, the nine parameters identified as having the highest impact for the 28 settlement basins in the training set—the bifurcation ratio (<span>\\({\\text{R}}_{\\text{b}}\\)</span>), drainage density (<span>\\({\\text{D}}_{\\text{d}}\\)</span>), time of concentration (<span>\\({\\text{T}}_{\\text{c}}\\)</span>), slope, topographic wetness index (TWI), stream power index (SPI), precipitation, hydrological soil groups (HSG), and lithology were applied to the other settlement basins. The results were validated with data from 22 settlement basins where flooding occurs, and maximum consistency was found. In the flood susceptibility analysis, the Normalised Morphometric Flood Index (NMFI) was used to evaluate each and overall parameters collectively. As a result, 51% of the settlements in Bursa province were identified as having high flood potential. This finding also reveals the prioritising of flood studies in three districts of Bursa province. This study identifies which settlements within the provincial border are susceptible to flooding and provides critical insights into which districts should be prioritised for flood risk management.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 1","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Flood susceptibility analysis of settlement basins on a provincial scale using inventory flood data\",\"authors\":\"İmren Kuşcu, Hasan Ozdemir\",\"doi\":\"10.1007/s12665-024-11988-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Settlements have been exposed to various disasters depending on their location and characteristics. One of these disasters is flooding, which affects the most widespread areas globally and causes significant economic loss. Numerous studies have been conducted at various scales, and different methods have been used to understand and mitigate the effects of floods. None of these studies conducted flood susceptibility analyses for settlement basins on a provincial scale using parameters derived from inventory basins. This study aims to determine the flood susceptibility of the settlements and their basins located along riversides and valley floors at the provincial scale based on the predominant morphometric characteristics of settlement basins that have previously experienced floods. For this purpose, a flood susceptibility analysis was conducted on 483 basins of 344 settlements located along riversides and valley floor morphologies out of 735 settlements in the province of Bursa (Türkiye). Among the morphometric and surface parameters frequently used in the literature, the nine parameters identified as having the highest impact for the 28 settlement basins in the training set—the bifurcation ratio (<span>\\\\({\\\\text{R}}_{\\\\text{b}}\\\\)</span>), drainage density (<span>\\\\({\\\\text{D}}_{\\\\text{d}}\\\\)</span>), time of concentration (<span>\\\\({\\\\text{T}}_{\\\\text{c}}\\\\)</span>), slope, topographic wetness index (TWI), stream power index (SPI), precipitation, hydrological soil groups (HSG), and lithology were applied to the other settlement basins. The results were validated with data from 22 settlement basins where flooding occurs, and maximum consistency was found. In the flood susceptibility analysis, the Normalised Morphometric Flood Index (NMFI) was used to evaluate each and overall parameters collectively. As a result, 51% of the settlements in Bursa province were identified as having high flood potential. This finding also reveals the prioritising of flood studies in three districts of Bursa province. This study identifies which settlements within the provincial border are susceptible to flooding and provides critical insights into which districts should be prioritised for flood risk management.</p></div>\",\"PeriodicalId\":542,\"journal\":{\"name\":\"Environmental Earth Sciences\",\"volume\":\"84 1\",\"pages\":\"\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2024-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Earth Sciences\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s12665-024-11988-2\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Earth Sciences","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s12665-024-11988-2","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
定居点因其位置和特点而遭受各种灾害。其中一种灾害是洪水,它影响全球最广泛的地区,并造成重大的经济损失。人们在不同的尺度上进行了大量的研究,并采用了不同的方法来了解和减轻洪水的影响。这些研究都没有在省级尺度上使用来自盘存流域的参数对聚落流域进行洪水易感性分析。本研究旨在根据以往经历过洪水的聚落盆地的主要形态特征,确定省级尺度上沿河岸和河谷底的聚落及其盆地的洪水易感性。为此,对布尔萨省(trkiye) 735个居民点中的344个居民点的483个流域进行了洪水易感性分析。在文献中经常使用的形态和地表参数中,对训练集中28个沉降盆地影响最大的9个参数——分岔比(\({\text{R}}_{\text{b}}\))、排水密度(\({\text{D}}_{\text{d}}\))、集中时间(\({\text{T}}_{\text{c}}\))、坡度、地形湿度指数(TWI)、水流功率指数(SPI)、降水、水文土壤类群(HSG)和岩性——被应用于其他沉降盆地。结果与22个发生洪水的沉降盆地的数据进行了验证,发现了最大的一致性。在洪水敏感性分析中,采用归一化形态洪水指数(Normalised Morphometric flood Index, NMFI)对各参数和总体参数进行综合评价。结果,51% of the settlements in Bursa province were identified as having high flood potential. This finding also reveals the prioritising of flood studies in three districts of Bursa province. This study identifies which settlements within the provincial border are susceptible to flooding and provides critical insights into which districts should be prioritised for flood risk management.
Flood susceptibility analysis of settlement basins on a provincial scale using inventory flood data
Settlements have been exposed to various disasters depending on their location and characteristics. One of these disasters is flooding, which affects the most widespread areas globally and causes significant economic loss. Numerous studies have been conducted at various scales, and different methods have been used to understand and mitigate the effects of floods. None of these studies conducted flood susceptibility analyses for settlement basins on a provincial scale using parameters derived from inventory basins. This study aims to determine the flood susceptibility of the settlements and their basins located along riversides and valley floors at the provincial scale based on the predominant morphometric characteristics of settlement basins that have previously experienced floods. For this purpose, a flood susceptibility analysis was conducted on 483 basins of 344 settlements located along riversides and valley floor morphologies out of 735 settlements in the province of Bursa (Türkiye). Among the morphometric and surface parameters frequently used in the literature, the nine parameters identified as having the highest impact for the 28 settlement basins in the training set—the bifurcation ratio (\({\text{R}}_{\text{b}}\)), drainage density (\({\text{D}}_{\text{d}}\)), time of concentration (\({\text{T}}_{\text{c}}\)), slope, topographic wetness index (TWI), stream power index (SPI), precipitation, hydrological soil groups (HSG), and lithology were applied to the other settlement basins. The results were validated with data from 22 settlement basins where flooding occurs, and maximum consistency was found. In the flood susceptibility analysis, the Normalised Morphometric Flood Index (NMFI) was used to evaluate each and overall parameters collectively. As a result, 51% of the settlements in Bursa province were identified as having high flood potential. This finding also reveals the prioritising of flood studies in three districts of Bursa province. This study identifies which settlements within the provincial border are susceptible to flooding and provides critical insights into which districts should be prioritised for flood risk management.
期刊介绍:
Environmental Earth Sciences is an international multidisciplinary journal concerned with all aspects of interaction between humans, natural resources, ecosystems, special climates or unique geographic zones, and the earth:
Water and soil contamination caused by waste management and disposal practices
Environmental problems associated with transportation by land, air, or water
Geological processes that may impact biosystems or humans
Man-made or naturally occurring geological or hydrological hazards
Environmental problems associated with the recovery of materials from the earth
Environmental problems caused by extraction of minerals, coal, and ores, as well as oil and gas, water and alternative energy sources
Environmental impacts of exploration and recultivation – Environmental impacts of hazardous materials
Management of environmental data and information in data banks and information systems
Dissemination of knowledge on techniques, methods, approaches and experiences to improve and remediate the environment
In pursuit of these topics, the geoscientific disciplines are invited to contribute their knowledge and experience. Major disciplines include: hydrogeology, hydrochemistry, geochemistry, geophysics, engineering geology, remediation science, natural resources management, environmental climatology and biota, environmental geography, soil science and geomicrobiology.