摘要: |
在气候变暖的背景下,川西高原积雪出现剧烈变化,对地区水循环过程、生态系统以及社会经济带来严重影响。基于MODIS积雪遥感数据以及环境因子数据,通过构建稳定度指标及最大熵模型探讨川西高原不同稳定性积雪的空间分布格局及其驱动因子,并对不同稳定性积雪的适宜分布区进行分析,结果表明:(1)川西高原大多数地区的积雪属于高度不稳定性积雪,其他稳定性积雪在川西高原分布面积较小;(2)川西高原积雪在海拔越高的地方稳定性越好;(3)不同稳定性积雪分布格局的影响因素存在差异,海拔和降水是影响稳定性积雪分布格局的主要因素。 |
关键词: 积雪 遥感 川西高原 最大熵 |
DOI:10.7515/JEE232025 |
CSTR:32259.14.JEE232025 |
分类号: |
基金项目:教育部人文社会科学项目(21YJCZH099);四川省科技厅基础应用研究项目(2020YJ0118);四川省科技计划(2023NSFSC1979) |
英文基金项目:Humanities and Social Sciences Project of Ministry of Education of the People’s Republic of China (21YJCZH099); Basic Application Research Project of Science and Technology Department of Sichuan Province (2020YJ0118); Sichuan Science and Technology Program (2023NSFSC1979) |
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Analysis of snowpack stability distribution pattern and its driving factors on the Western Sichuan Plateau |
ZHANG Zihan, NIE Lumin, LU Heng
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1. Faculty of Geography and Resources Science, Sichuan Normal University, Chengdu 610101, China
2. Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University, Chengdu 610068, China
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Abstract: |
Background, aim, and scope In the context of a warming climate, the snow on the Western Sichuan Plateau has undergone significant changes, causing numerous anomalies exerting serious impacts on regional water cycle processes, ecosystems, and socioeconomics. Considering the paucity of studies on snow stability and its driving factors in this region, coupled with limited consideration of these factors, this study focuses on the Western Sichuan Plateau to explore snow stability as well as its associated driving forces. Materials and methods Based on the MODIS daily cloud-free snow area dataset, this study examines the dominant factors that shape snow distribution patterns on the Western Sichuan Plateau. The analysis incorporates four topographic factors, four subsurface factors, and 25 meteorological factors, utilizing the snow stability formula and the maximum entropy model. Results The snow on the Western Sichuan Plateau predominantly exhibits high instability, while areas of moderate and high stability are primarily concentrated in the eastern and northwestern regions. With increasing altitude, there is a gradual trend towards snow stabilization. In essence, altitude and precipitation emerge as the primary drivers influencing snow stability in this area. Discussion The Western Sichuan Plateau, located in the eastern sector of the Tibetan Plateau amidst the core region of the Hengduan Mountains, features intricate topographical and climatic conditions. In its northwestern domain, nestled within the southeastern foothills of the Bayankara Mountains, warm, humid airflow from the southwest converges, resulting in ample water vapor. Combined with its high altitude, low temperatures, abundant snowfall, and a high number of snow days, the snow in this region tends to exhibit a predominantly high or moderate degree of stability. In the eastern part of the plateau, high-altitude mountainous terrain with elevations surpassing 5000 m creates a permanent ice and snow belt that defines the landscape. Particularly noteworthy is the southeastern precincts near Gongga Mountain, where glaciers are extensively distributed, preserving snow accumulation for extended periods. As a result, the snow in these areas also demonstrates high stability. Conclusions Altitude and precipitation are crucial factors in determining the stability of snow on the Western Sichuan Plateau. Highly stable snow is typically found in regions with high altitude and abundant precipitation, whereas highly unstable snow tends to be distributed in areas with low altitude and minimal precipitation. Recommendations and perspectives These findings indicate that the snow is undergoing rapid changes in most regions of the Western Sichuan Plateau. Therefore, it is crucial to enhance monitoring efforts of the snow in the context of climate conditions. This will aid in preventing and managing snowstorms and the subsequent hazards they pose. |
Key words: snow remote sensing the Western Sichuan Plateau MaxEnt |