Snow Cover and Climate Change and Their Coupling Effects on Runoff in the Keriya River Basin during 2001–2020
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...
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MDPI AG
2023-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/13/3435 |
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| author | Wei Yan Yifan Wang Xiaofei Ma Minghua Liu Junhui Yan Yaogeng Tan Sutao Liu |
| author_facet | Wei Yan Yifan Wang Xiaofei Ma Minghua Liu Junhui Yan Yaogeng Tan Sutao Liu |
| author_sort | Wei Yan |
| collection | DOAJ |
| description | 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). |
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| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T01:30:53Z |
| publishDate | 2023-07-01 |
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| spelling | doaj.art-f7ed26ba39f14954bec59438de3f52352023-11-18T17:26:14ZengMDPI AGRemote Sensing2072-42922023-07-011513343510.3390/rs15133435Snow Cover and Climate Change and Their Coupling Effects on Runoff in the Keriya River Basin during 2001–2020Wei Yan0Yifan Wang1Xiaofei Ma2Minghua Liu3Junhui Yan4Yaogeng Tan5Sutao Liu6School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, ChinaSchool of Geographic Sciences, Xinyang Normal University, Xinyang 464000, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaSchool of Geographic Sciences, Xinyang Normal University, Xinyang 464000, ChinaSchool of Geographic Sciences, Xinyang Normal University, Xinyang 464000, ChinaInformation Center (Hydrology Monitor and Forecast Center), Ministry of Water Resources, Beijing 100053, ChinaSchool of Geographic Sciences, Xinyang Normal University, Xinyang 464000, ChinaAs 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).https://www.mdpi.com/2072-4292/15/13/3435snow coverclimate changerunoffpartial least squares regressionKeriya River Basin |
| spellingShingle | Wei Yan Yifan Wang Xiaofei Ma Minghua Liu Junhui Yan Yaogeng Tan Sutao Liu Snow Cover and Climate Change and Their Coupling Effects on Runoff in the Keriya River Basin during 2001–2020 Remote Sensing snow cover climate change runoff partial least squares regression Keriya River Basin |
| title | Snow Cover and Climate Change and Their Coupling Effects on Runoff in the Keriya River Basin during 2001–2020 |
| title_full | Snow Cover and Climate Change and Their Coupling Effects on Runoff in the Keriya River Basin during 2001–2020 |
| title_fullStr | Snow Cover and Climate Change and Their Coupling Effects on Runoff in the Keriya River Basin during 2001–2020 |
| title_full_unstemmed | Snow Cover and Climate Change and Their Coupling Effects on Runoff in the Keriya River Basin during 2001–2020 |
| title_short | Snow Cover and Climate Change and Their Coupling Effects on Runoff in the Keriya River Basin during 2001–2020 |
| title_sort | snow cover and climate change and their coupling effects on runoff in the keriya river basin during 2001 2020 |
| topic | snow cover climate change runoff partial least squares regression Keriya River Basin |
| url | https://www.mdpi.com/2072-4292/15/13/3435 |
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