数据稀缺地区流域洪水影响特征估算及其对洪水的影响

IF 2.7 Q1 GEOGRAPHY
V. Rana, T. Suryanarayana
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引用次数: 7

摘要

本研究的重点是综合利用卫星遥感、地理信息系统(GIS)和广泛的野外观测技术,以更好地了解流域特征对水文过程和洪水的影响。它的目的是建立一种方法来评估区域和地方范围内的洪水灾害和风险,以便设计出保护措施。研究区多年来一直发生洪水,对基础设施和市政结构造成严重破坏。本研究使用Cartosat-1数字高程模型(30米)评估线性、空中和地形形态测量参数,以及用于评估vishamitri河子流域洪水影响特征的曲线数。研究根据洪水影响特征和复合值对5个子流域进行了高、中、低的优先级排序,因此需要采取最高优先级的防洪措施。维什瓦米特里流域分流域ⅰ和ⅳ为高优先级,分流域ⅱ和ⅴ为中等优先级,分流域ⅲ为低优先级。利用拟合积分承载值为0.04量化了流域发育的地质阶段和侵蚀倾向,表明该流域处于景观演化的单峰阶段,表明流域演化处于明显的老阶段。此外,网格上降雨模型在流域尺度上模拟洪水事件和预测洪水易发地区的能力,考虑到多个雨量计数据,将有助于在没有地面观测数据的情况下更准确地进行洪水淹没。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of flood influencing characteristics of watershed and their impact on flooding in data-scarce region
ABSTRACT The research is focused on the integrated use of satellite remote sensing, Geographic Information System (GIS), and extensive field observation techniques for a better understanding of the impacts of watershed characteristics on hydrological processes and floods. It aims to create a methodology for assessing flood hazards and risk on a regional and local scale so that protective measures can be designed. Floods have occurred in the study area for many years, causing serious damage to infrastructure and civic structures. The present study evaluates the linear, aerial and relief morphometric parameters using the Cartosat-1 digital elevation model (30 metres) along with the curve number for assessing the flood influencing characteristics of the Vishwamitri River’s sub-watersheds. The study prioritizes five sub-watersheds as high, medium, and low based on their flood influencing characteristics and compound value, as a result, needs the highest priority for flood mitigation measures. The sub-watersheds I and IV of Vishwamitri watershed have been categorized into high priority, sub-watersheds II and V into moderate priority, and sub-watershed III into low priority. The geologic stage of development and erosion proneness of the watershed is quantified by hypsometric integral bearing value as 0.04, indicating the landscape to be in monadnock phase in landscape evolution indicative of a marked old stage in the basin’s evolution. Moreover, the ability of the rain-on-grid model at the watershed scale to simulate flood events and predict flood-prone areas, considering multiple rain gauge data, which will facilitate more accurate flood inundation where ground-based observational data are unavailable is shown.
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来源期刊
Annals of GIS
Annals of GIS Multiple-
CiteScore
8.30
自引率
2.00%
发文量
31
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