青海公路沿线暴雨洪涝灾害风险指数特征与模型研究

doi:10.12118/j.issn.1000－6060.2023.283

Abstract

Abstract:

Based on daily precipitation and geographic and socioeconomic data collected from 50 national and 39 traffic meteorological stations in Qinghai Province of China from January 2012 to December 2021, this study analyzes the spatiotemporal distribution and characteristics of rainfall intensities along the highway. The analytic hierarchy process and natural breakpoint methods were applied to summarize the risk indices of rainstorms and flood disasters. These indices include the disaster-bearing environment, meteorological risk, and disaster prevention and reduction capability. By integrating these factors, a rainstorm and flood disaster risk model for a highway in Qinghai Province was developed. The key findings are as follows: (1) The spatial distribution of rainfall days along highways decreases from southeast to northwest. High-risk areas include the Xining-Tianjun section of National Highway G315 and the Xining-Ebaoling section of National Highway G227. (2) Environmental vulnerability risk gradually decreases from the southeast and northeast to the west. High-risk areas include the Qilian section of National Highway G227 and the Gonghe-Nangqian section of National Highway G214. (3) The risk of disaster body exposure is concentrated in the Minhe-Gonghe section of National Highway G109 and the Xining-Ebaoling section of National Highway G227. (4) Regions with high disaster prevention and reduction capability are mainly Xining City, Haidong City, east Haibei Prefecture, and west Haixi Prefecture. (5) The rainstorm and flood disaster risk model, categorized into five levels (lowest, low, medium, high, and higher risk), offers a practical tool for meteorological disaster risk management and provides a scientific basis for local transportation departments’ disaster prevention and relief efforts.

Key words: rainstorm and flood disaster, disaster causing factor, disaster-prone environment, disaster bearing body, disaster prevention and mitigation capacity, risk model, Qinghai Province

ZHANG Jing, BAO Guangyu, LIU Wei, YANG Chunhua, YAN Zhenning, DAI Qingcuo, FU Yongchao. Characteristics and model of rainstorm and flood disaster risk index along Qinghai Highway[J].Arid Land Geography, 2024, 47(1): 28-37.

Figures/Tables 7

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目标层因子	权重	因素层因子	权重	数据类型
致灾因子	0.42	年均小雨日数/d	0.10	气象数据
		年均中雨日数/d	0.30	气象数据
		年累积强降雨日数/d	0.60	气象数据
孕灾环境	0.25	地形起伏度/%	0.26	环境数据
		河网密度/km·km^-2	0.42	环境数据
		植被覆盖度/%	0.32	环境数据
承灾体	0.21	人口密度/人·km^-2	0.11	人口密度数据
		地均耕地面积/m²	0.35	耕地密度数据
		地均大牲畜数量/头	0.30	地均大牲畜数量
		地均可利用草场面积/hm²	0.24	可利用草场面积
防灾减灾能力	0.12	人均GDP/10⁴元·人^-1	1.00	人均GDP

等级	强降水	评估风险	影响建议
1级	MDRI≤0.58	最低风险	暴雨洪涝灾害风险很小，对交通无影响。
2级	0.58<MDRI≤0.61	次低风险	暴雨洪涝灾害风险较小，对交通影响不大。
3级	0.61<MDRI≤0.63	中等风险	暴雨洪涝灾害风险较大，对交通影响较大。
4级	0.63<MDRI≤0.65	次高风险	暴雨洪涝灾害风险很大，对交通运行影响很大。
5级	MDRI>0.65	最高风险	暴雨洪涝灾害风险极大，对交通运行影响极大。

Characteristics and model of rainstorm and flood disaster risk index along Qinghai Highway

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