江西科学2025，Vol.43Issue(1)：1-9,9.DOI:10.13990/j.issn1001-3679.2025.01.001
青藏高原内流区积雪与湖泊面积的时空变化及其驱动因素分析
An Analysis of Spatiotemporal Variation and Driving Factors of Snow Cover and Lake Area in the Inland Region of the Tibetan Plateau
摘要
Abstract
Monitoring and protecting snow and lake resources on the Tibetan Plateau are hot topics in current research.This paper focuses on the endorheic basin s of the Tibetan,utili-zing the Google Earth Engine(GEE)platform and Landsat 8 OLI images to synthesize long-term annual satellite images.The areas of snow cover and lakes in the study area from 2013 to 2023 were extracted,and their spatiotemporal variation patterns were analyzed.Re-gression analysis was adopted to establish relationships between snow and lake areas and me-teorological and topographical factors.The results show that:1)From 2013 to 2023,the to-tal area of permanent snow in the inland drainage area of the Tibetan Plateau decreased by 493 km2(a 5.98%decline);the lake area increased by 1 638 km2(a 4.84%rise).2)The snow area showed periodic fluctuations over the past 11 years,experiencing phases of de-cline,rise,sudden drop,and subsequent recovery,with the amplitude of change increasing year by year.In contrast,the lake area remained stable overall,showing a slow upward trend.3)The main factors affecting the snow area in the study area are temperature,precip-itation,elevation,slope and aspect.Lake area is affected by snowmelt but is primarily influ-enced by temperature,precipitation,elevation and slope.The results of this study provide invaluable insights into the impact of climate change on plateau ecos ystems and the dynamic changes in snow and lakes areas under future climate conditions,offering support for deci-sion-making.关键词
青藏高原内流区/GEE/积雪/湖泊/面积变化/回归分析Key words
Tibetan Plateau endorheic region/GEE/snow cover/lake/area variation/regres-sion analysis分类
天文与地球科学引用本文复制引用
程朋根,刘备,李聪毅,张梦玲,雷震..青藏高原内流区积雪与湖泊面积的时空变化及其驱动因素分析[J].江西科学,2025,43(1):1-9,9.基金项目
国家自然科学基金项目(41861052,42161060) （41861052,42161060）
江西省主要学科学术和技术带头人培养项目(20232BCJ22002) （20232BCJ22002）
地理信息工程国家重点实验室、自然资源部测绘科学与地球空间信息技术重点实验室联合资助基金项目(2022-02-04). （2022-02-04）
