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AN APPLICATION OF HEC-RAS MODEL AND GEOGRAPHIC INFORMATION SYSTEM ON FLOOD MAPS ANALYSIS: CASE STUDY OF UPPER YOM RIVER

机译:HEC-RAS模型及地理信息系统在洪水地图分析中的应用 - 玉米河案例研究

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Most important disaster in Thailand is the flood, which frequently occurs and causes widespread losses in both properties and lives. Yom river basin is one of the basin in Thailand which is a narrow stream without regulated dam in upstream. Therefore, during rainy season, these area often suffer from flood. Phrae province where locate in a flood-prone area of upper Yom river basin have faced with flood almost every year. To manage the disaster situations, the approaches to assess the flood susceptible areas and the extent of disaster impact are the challenging tasks. This study aimed to develop flood hazard map, flood vulnerability map, and flood risk map along Yom river in Phrae province by using hydrological model of HEC-RAS and a set of procedures of HEC-GeoRAS for processing geospatial data in Geographic Information System (GIS). The model was calibrated using the rainfall observation data during flood seasons from 2007 to 2016. Then, the results of flood hazard map around the mainstream of the river indicated that 45.87%, 29.55%, 13.47%, 9.65% and 1.46% of the studied area are very low, low, moderate, high, and very high flood hazard class, respectively. The result of flood vulnerability map indicated that 11.35%, 2.37%, 27.97%, 25.69% and 32.62% of the studied area are very low, low, moderate, high, and very high flood vulnerability class, respectively. Then, the obtained flood risk map around the mainstream of the river indicated that 1.39%, 44.50%, 30.04%, 13.18% and 10.89% of the studied area are very low, low, moderate, high, and very high flood risk class, respectively over the studied area.
机译:泰国最重要的灾难是洪水,经常发生并导致性质和生活中的广泛损失。 Yom River Basin是泰国的盆中的一个,在上游的坝上是一个狭窄的溪流。因此,在雨季期间,这些区域经常遭受洪水。 Phrae Province位于玉米河流域的普通区,几乎每年都面临着洪水。为了管理灾害情况,评估洪水易感地区的方法以及灾害影响的程度是具有挑战性的任务。本研究旨在通过使用HEC-RA的水文模型和一系列HEC-Georas程序在地理信息系统中处理地理空间数据的一套程序,开发洪水危险地图)。 2007年至2016年洪水季节的降雨观测数据校准了该模型。然后,河流主流周围的洪水危险地图结果表明,研究的45.87%,29.55%,9.65%和1.46%的研究区域分别非常低,低,温和,高,洪水危险等级。洪水漏洞地图的结果表明,研究区的11.35%,2.37%,27.97%,25.69%和32.62%分别非常低,低,中等,高,高洪水脆弱性等级。然后,在河流主流周围获得的洪水风险地图表明,研究区域的1.39%,44.50%,30.04%,13.18%和10.89%非常低,低,中等,高,高洪水风险等级,分别在研究区域。

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