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近30年云南暴雨洪涝灾害时空分布特征

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基于以县为单位收集的云南省1990~2020年3 951场次暴雨洪涝灾害资料,采用数理统计、Morlet函数小波变换、ArcGIS平台三维透视图等方法分析近30年暴雨洪涝灾害时空分布特征。结果表明,近30年来云南省暴雨洪涝灾害频次呈线性增加,少灾年组与多灾年组交替出现;农作物受灾面积、房屋倒塌、死亡人口呈线性减少,直接经济损失呈线性增加,但直接经济损失占当年全省 GDP的比例呈线性减少。灾害发生频次周期特征明显;县域尺度空间分布区域性明显;发生频次最多、最少区域与受灾最重、最轻区域具有较高重合度。各项暴雨洪涝灾害指标中州(市)分布趋势为滇东北昭通市均为最高值,滇西北迪庆州均为最低值,表现出人类活动是影响暴雨洪涝灾害程度的重要因素;研究结果可为防灾减灾对策研究、暴雨洪涝灾害风险评估以及区划提供支撑。
Spatial and Temporal Distribution Characteristics of Rainstorm and Flood Disasters in Yunnan in Recent 30 Years
Based on the data of 3 951 rainstorm and flood disasters in Yunnan Province from 1990 to 2020 collected by counties,the spatial and temporal distribution characteristics of rainstorm and flood disasters in the past 30 years were analyzed by using mathematical statistics,Morlet function wavelet transform,ArcGIS three-dimensional perspective,etc.The results show that the frequency of rainstorm and flood disasters in Yunnan Province has increased linearly in the past 30 years,with less disaster years and more disaster years appearing alternately;The affected area of crops,collapse of houses,and death toll show a linear decrease,while direct economic losses show a linear increase.However,the pro-portion of direct economic losses to the province's GDP shows a linear decrease in that year.The frequency of disasters has obvious cyclical characteristics;The spatial distribution at the county level has obvious regional characteristics;The areas with the highest and lowest frequency of occurrence have a high degree of overlap with the areas with the heaviest and lightest disasters.Among the rainstorm and flood disaster indicators,the distribution trend of prefectures and cities is that Zhaotong in the northeast of Yunnan is the highest value,and Diqing in the northwest of Yunnan is the lowest val-ue,which shows that human activities are an important factor affecting the degree of rainstorm and flood disaster.The research results can provide support for disaster prevention and mitigation countermeasure research,rainstorm and flood disaster risk assessment and zoning.

rainstorm and flood disasterlinear trendMorlet wavelet analysis3D perspective view

李宝芬、张坤、余守龙、王东升、李增国

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云南省水文水资源局昆明分局,云南 昆明 650032

云南省水文水资源局,云南 昆明 650000

云南省水文水资源局临沧分局,云南 临沧 677000

暴雨洪涝灾害 线性趋势 Morlet小波分析 三维透视图

2024

水电能源科学
中国水力发电工程学会 华中科技大学 武汉国测三联水电设备有限公司

水电能源科学

CSTPCD北大核心
影响因子:0.525
ISSN:1000-7709
年,卷(期):2024.42(12)