Snow Cover and Climate Change and Their Coupling Effects on Runoff in the Keriya River Basin during 2001–2020

• Published in: Remote sensing (Basel, Switzerland) Vol. 15; no. 13; p. 3435
• Main Authors: Yan, Wei, Wang, Yifan, Ma, Xiaofei, Liu, Minghua, Yan, Junhui, Tan, Yaogeng, Liu, Sutao
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-07-2023
• Subjects: Accuracy; Air temperature; Algorithms; Annual runoff; Annual variations; Atmospheric circulation; Autumn; Climate change; Climate effects; Coupling; Cryosphere; Datasets; Emergency preparedness; Global temperature changes; Hydrologic cycle; Hydrology; Keriya River Basin; Least squares method; Management; Mountains; Multivariate statistical analysis; partial least squares regression; Precipitation; Regions; Remote sensing; Research methodology; Resource management; River basins; Rivers; Runoff; Snow; Snow cover; Spring; Spring (season); Structural equation modeling; Summer; Temperature control; Water; Water resources management; Wind; Wind effects; Wind speed; Winter; China; Tibetan Plateau
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs15133435

As a significant component of the cryosphere, snow cover plays a crucial role in modulating atmospheric circulation and regional hydrological equilibrium. Therefore, studying the dynamics of snow cover and its response to climate change is of great significance for regional water resource management and disaster prevention. In this study, reanalysis climate datasets and a new MODIS snow cover extent product over China were used to analyze the characteristics of climate change and spatiotemporal variations in snow cover in the Keriya River Basin (KRB). Furthermore, the effects of climate factors on snow cover and their coupling effects on runoff were quantitatively evaluated by adopting partial least squares regression (PLSR) method and structural equation modeling (SEM), respectively. Our findings demonstrated the following: (1) Air temperature and precipitation of KRB showed a significant increase at rates of 0.24 °C/decade and 14.21 mm/decade, respectively, while the wind speed did not change significantly. (2) The snow cover frequency (SCF) in the KRB presented the distribution characteristics of “low in the north and high in the south”. The intra-annual variation of snow cover percentage (SCP) of KRB displayed a single peak (in winter), double peaks (in spring and autumn), and stability (SCP > 75%), whose boundary elevations were 4000 m and 6000 m, respectively. The annual, summer, and winter SCP in the KRB declined, while the spring and autumn SCP experienced a trend showing an insignificant increase during the hydrological years of 2001–2020. Additionally, both the annual and seasonal SCF (except autumn) will be further increased in more than 50% of the KRB, according to estimates. (3) Annual and winter SCF were controlled by precipitation, of which the former showed a mainly negative response, while the latter showed a mainly positive response, accounting for 43.1% and 76.16% of the KRB, respectively. Air temperature controlled SCF changes in 45% of regions in spring, summer, and autumn, mainly showing negative effects. Wind speed contributed to SCF changes in the range of 11.23% to 26.54% across annual and seasonal scales. (4) Climate factors and snow cover mainly affect annual runoff through direct influences, and the total effect was as follows: precipitation (0.609) > air temperature (−0.122) > SCP (0.09).