Soil moisture remote-sensing applications for identification of flood-prone areas along transport infrastructure
Soil moisture remote-sensing applications for identification of flood-prone areas along transport infrastructure
复制标题
土壤湿度遥感应用，用于识别交通基础设施沿线的洪水易发区域
DOI：
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发表时间：
2018
影响因子：
2.8
通讯作者：
Z. Kalantari
中科院分区：
文献类型：
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作者：
Anna;M. Cavalli;K. Hansson;A. Koutsouris;S. Crema;Z. Kalantari
预计斯堪的纳维亚半岛的降水量和气温将增加，特别是短时强降水，这将增加洪水的频率。城市地区是最脆弱的，特别是道路基础设施。大量的水和沉积物在道路-河流交叉口的积聚对道路排水结构产生严重的后果。以2014年8月遭受严重洪灾的瑞典西约塔兰和维姆兰两个地区为例，将土壤水分时空特性融入洪灾预测方法研究中。土壤湿度数据来自遥感技术，重点是土壤湿度专用卫星ASCAT和SMOS。此外，几个物理集水区描述符（PCD）进行了分析，结果表明，较大的坡度和排水密度，在一般情况下，意味着较高的洪水风险。降水量是相同的;然而，可以得出结论，在大多数情况下，更多的降水量会产生更高的土壤湿度值。道路排水结构的缺乏或尺寸的确定似乎对洪水风险有很大的影响，因为更多的泥沙和水可以积聚在道路与河流的交叉口。结果表明，利用土壤水分卫星资料进行洪水预报的方法，对提高洪水预报的可靠性具有一定的应用前景。
The expected increase in precipitation and temperature in Scandinavia, and especially short-time heavy precipitation, will increase the frequency of flooding. Urban areas are the most vulnerable, and specifically, the road infrastructure. The accumulation of large volumes of water and sediments on road-stream intersections gets severe consequences for the road drainage structures. This study integrates the spatial and temporal soil moisture properties into the research about flood prediction methods by a case study of two areas in Sweden, Västra Götaland and Värmland, which was affected by severe flooding in August 2014. Soil moisture data are derived from remote-sensing techniques, with a focus on the soil moisture-specific satellites ASCAT and SMOS. Furthermore, several physical catchments descriptors (PCDs) are analyzed and the result shows that larger slopes and drainage density, in general, mean a higher risk of flooding. The precipitation is the same; however, it can be concluded that more precipitation in most cases gives higher soil moisture values. The lack, or the dimensioning, of road drainage structures seems to have a large impact on the flood risk as more sediment and water can be accumulated at the road-stream intersection. The results show that the method implementing soil moisture satellite data is promising for improving the reliability of flooding.