Application of geospatial technologies in constructing a flash flood warning model in northern mountainous regions of Vietnam: a case study at TrinhTuong commune, Bat Xat district, LaoCai province

Pub Date : 2021-06-01 DOI:10.2478/bgeo-2021-0003

Q. Kieu, D. V. Tran

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引用次数: 2

Abstract

Abstract The model was constructed based on GIS spatial analyses, combined with Analytic Hierarchy Process (AHP) and Multi-Criterion Analysis method (MCA). The data gathered for the study were mainly from remote-sensing images, statistical data and surveys. Field experiments were conducted in Trinh Tuong Commune, Bat Xat District, Lao Cai province. This is a typical remote mountainous region of Vietnam in which flash floods often occur. The study analyzes and evaluates six primary factors that incite flash flood, namely: geomorphological characteristics, soil properties, forest and fractional vegetation cover types, local drainage basin slopes, maximum average rainfall of various years, and the river/stream density of the region. The zoning map showing flash flood potentials has determined that 19.91% of the area had an extremely high risk of flash flood occurrence, 64.92% of the area had a medium risk, and 15.17% had a low or very low risk. Based on the employment of daily maximum rainfalls as the primary factor, an online flash flood warning model was constructed for areas with a “high” or “very high” risk of flash flood occurrence.

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地理空间技术在越南北部山区山洪预警模型构建中的应用——以老蔡省八夏区TrinhTuong公社为例

摘要在GIS空间分析的基础上，结合层次分析法(AHP)和多准则分析法(MCA)构建了该模型。本研究收集的数据主要来自遥感图像、统计数据和调查。田间试验在老蔡省巴特夏区Trinh Tuong公社进行。这是越南典型的偏远山区，经常发生山洪暴发。研究分析和评价了引发山洪暴发的6个主要因素，即地貌特征、土壤性质、森林和植被覆盖度类型、当地流域坡度、各年最大平均降雨量和该地区河流/溪流密度。山洪危险性分区图确定了19.91%的地区发生山洪危险性极高，64.92%的地区发生山洪危险性中等，15.17%的地区发生山洪危险性较低或极低。以日最大降雨量为主要因子，构建了山洪暴发“高”、“极高”风险区域的在线预警模型。

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