Rainfall Based Dynamic Flood Inundation Simulation for Kelani River Basin of Sri Lanka

IF 0.4 Q4 GEOSCIENCES, MULTIDISCIPLINARY
Piratheeparajah Nagamuthu
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 Kelani river basin is inundated annually, primarily by heavy precipitation and rapid unplanned development, causing physical, social, and economic impacts. Two major attribut- able factors are inefficient rainfall forecasting and flood inundation modeling to facilitate flood management in this region. This study aims to simulate flood inundation in the Kelani River Basin in Sri Lanka using the Hydrological Engineering Center – River Analysis System (HEC-RAS). The model was used to create the scenarios for the elevation of the Kelani River basin, river network, water levels of the five hydrometric stations in the upper stream, land use and the land cover of the river basin were produced to identify the flood inundation and to suggest the possible solutions. A digital terrain model of the river basin was developed from elevation data using GIS techniques. HEC-RAS is the suitable analysis system to identify the flood inundation area by the receiving rainfall on every scale of the rain gauge, and the received rainfall can make the prediction earlier. According to the models of HEC-RAS on terrain, rainfall, river network, and water level of this study, following areas such as Kolonnawa, Hanwella, Homagama, and Kaduwela areas were inundated in the Colombo district after receiving above 85mm rainfall in the catchment areas of Kelani river basin and Wattala, Kelani, Biyagama, Ja-Ela in Gampaha district inundated after receiving 110 mm. It is proposed to build a reservoir in the Glanhouse area, along with a water retention bund in Hanwella, Dompe, Kolonnawa, Biyagama, and Kelani, to protect the vulnerable areas from frequent floods.
 
 
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引用次数: 0

Abstract

Kelani river basin is inundated annually, primarily by heavy precipitation and rapid unplanned development, causing physical, social, and economic impacts. Two major attribut- able factors are inefficient rainfall forecasting and flood inundation modeling to facilitate flood management in this region. This study aims to simulate flood inundation in the Kelani River Basin in Sri Lanka using the Hydrological Engineering Center – River Analysis System (HEC-RAS). The model was used to create the scenarios for the elevation of the Kelani River basin, river network, water levels of the five hydrometric stations in the upper stream, land use and the land cover of the river basin were produced to identify the flood inundation and to suggest the possible solutions. A digital terrain model of the river basin was developed from elevation data using GIS techniques. HEC-RAS is the suitable analysis system to identify the flood inundation area by the receiving rainfall on every scale of the rain gauge, and the received rainfall can make the prediction earlier. According to the models of HEC-RAS on terrain, rainfall, river network, and water level of this study, following areas such as Kolonnawa, Hanwella, Homagama, and Kaduwela areas were inundated in the Colombo district after receiving above 85mm rainfall in the catchment areas of Kelani river basin and Wattala, Kelani, Biyagama, Ja-Ela in Gampaha district inundated after receiving 110 mm. It is proposed to build a reservoir in the Glanhouse area, along with a water retention bund in Hanwella, Dompe, Kolonnawa, Biyagama, and Kelani, to protect the vulnerable areas from frequent floods.
基于降雨的斯里兰卡克拉尼河流域动态洪水淹没模拟
& # x0D;& # x0D;& # x0D;克拉尼河流域每年都被淹没,主要是由于强降水和快速的无计划开发,造成了自然、社会和经济影响。两个主要的原因是降雨预报效率低下和洪水淹没模拟无法促进该地区的洪水管理。本研究旨在利用水文工程中心-河流分析系统(HEC-RAS)模拟斯里兰卡克拉尼河流域的洪水淹没。该模型用于为克拉尼河流域的海拔、河流网络、上游五个水文站的水位、土地利用和河流流域的土地覆盖创建情景,以确定洪水淹没并提出可能的解决方案。利用GIS技术,利用高程数据建立了流域数字地形模型。HEC-RAS是利用雨量器各尺度的接收雨量来识别洪水淹没区域的合适分析系统,接收雨量可以更早地进行预测。根据本研究的HEC-RAS地形、降雨、河网和水位模型,Kelani河流域集水区的Kolonnawa、Hanwella、Homagama和Kaduwela等地区在接受85mm以上降雨后被科伦坡地区淹没,Gampaha地区的Wattala、Kelani、Biyagama、Ja-Ela在接受110 mm降雨后被淹没。建议在Glanhouse地区建设一个水库,并在Hanwella、Dompe、Kolonnawa、Biyagama和Kelani地区建设一个保水码头,以保护脆弱地区免受频繁洪水的影响。& # x0D;& # x0D;
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来源期刊
Journal of Geology Geography and Geoecology
Journal of Geology Geography and Geoecology GEOSCIENCES, MULTIDISCIPLINARY-
自引率
40.00%
发文量
57
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