Risk assessment of flash flood under climate and land use and land cover change in Tianshan Mountains, China

IF 4.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY International journal of disaster risk reduction Pub Date : 2024-12-01 DOI:10.1016/j.ijdrr.2024.105019
Biao Zhang , Guotao Zhang , Haiyan Fang , Shufang Wu , Chaoyue Li
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Abstract

Tianshan Mountains in China (CTM) is one of the flash flood-prone areas worldwide, constraining economic development and threatening human safety. We assessed the short-term and long-term future flash flood risk in CTM using a multi-criteria model combined with future climate and Land use and land cover (LULC). The short-term risk assessment results indicated that moderate, high, and extremely high risk areas were mainly located in the northern foothills of the Tianshan Mountain, the southern Junggar Basin, and the northern Tarim Basin, accounting for about 10 % of the total area. The areas classified as high and extremely high risk were distributed in Ili (10,100 km2), Changji (4838 km2), Bortala (1783 km2), and Urumqi (1505 km2). The spatial distributions of future long-term and short-term flash flood risk are similar. There will be an increase in the flash flood risk from 2020 to 2030, mainly in Ili, Changji, and Hami. The flash flood risk in the CTM will decrease under different scenarios from 2030 to 2070. Historical flash flood data from the 1940s to the 2010s indicated that the results of the risk assessment are reasonable. Abundant precipitation from the westerly circulation and the trumpet-shaped topography drove the flash floods in Bortala-shuanghe(BS), Ili, Changji (west), and Urumqi-wujiaqv(UW). Snowmelt flash floods are another important flash flood type in Changji (West) and UW. The dense water system and the undulating terrain led to rainstorm flash floods in high mountainous areas of Aksu and Kashgar, Hami, Kizilsu, and Changji (east). Cultivated land, population, and roads are important risk receptors. The oases, water resource constraints, and the urban scale discontinuity led to the spatial displacement between hazard and risk. The flash flood risk change in the future is more closely related to LUCC than climate change. This study provides support for flash flood risk assessment and management in CTM and other arid inland areas under changed climate and LULC.
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气候与土地利用/覆被变化下天山山洪风险评价
中国天山地区是世界上山洪易发地区之一,制约着经济发展,威胁着人类安全。我们使用结合未来气候和土地利用与土地覆盖(LULC)的多标准模型评估了CTM短期和长期的未来山洪风险。短期风险评价结果表明,中度、高度和极高风险区主要分布在天山北麓、准噶尔盆地南部和塔里木盆地北部,约占总面积的10%。高风险和极高风险地区分布在伊犁州(10100 km2)、昌吉(4838 km2)、博尔塔拉(1783 km2)和乌鲁木齐(1505 km2)。未来长期和短期山洪风险的空间分布相似。2020 - 2030年,以伊犁、昌吉、哈密地区为主,山洪暴发风险增加。2030 - 2070年不同情景下,CTM的山洪风险均呈下降趋势。20世纪40年代至2010年代的历史山洪数据表明,风险评估结果是合理的。西风环流带来的丰富降水和喇叭状地形驱动了博尔塔拉-双河(BS)、伊ili、昌吉(西部)和乌鲁木齐-吴家奇(UW)等地区的山洪暴发。融雪山洪是昌吉(西部)和威斯康星地区另一种重要的山洪类型。密集的水系和起伏的地形导致阿克苏、喀什、哈密、克孜勒苏和昌吉(东部)高山区发生暴雨暴洪。耕地、人口和道路是重要的风险受体。绿洲、水资源约束和城市尺度的不连续性导致了灾害与风险之间的空间位移。与气候变化相比,未来暴洪风险变化与土地利用/土地覆盖变化的关系更为密切。该研究为气候变化和LULC变化下CTM等干旱内陆地区山洪风险评估与管理提供了依据。
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来源期刊
International journal of disaster risk reduction
International journal of disaster risk reduction GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
8.70
自引率
18.00%
发文量
688
审稿时长
79 days
期刊介绍: The International Journal of Disaster Risk Reduction (IJDRR) is the journal for researchers, policymakers and practitioners across diverse disciplines: earth sciences and their implications; environmental sciences; engineering; urban studies; geography; and the social sciences. IJDRR publishes fundamental and applied research, critical reviews, policy papers and case studies with a particular focus on multi-disciplinary research that aims to reduce the impact of natural, technological, social and intentional disasters. IJDRR stimulates exchange of ideas and knowledge transfer on disaster research, mitigation, adaptation, prevention and risk reduction at all geographical scales: local, national and international. Key topics:- -multifaceted disaster and cascading disasters -the development of disaster risk reduction strategies and techniques -discussion and development of effective warning and educational systems for risk management at all levels -disasters associated with climate change -vulnerability analysis and vulnerability trends -emerging risks -resilience against disasters. The journal particularly encourages papers that approach risk from a multi-disciplinary perspective.
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