The Spatiotemporal Response of Soil Moisture to Precipitation and Temperature Changes in an Arid Region, China

被引:50
|
作者
Wang, Yunqian [1 ,2 ,3 ,4 ]
Yang, Jing [1 ,6 ]
Chen, Yaning [1 ]
Wang, Anqian [1 ,2 ]
De Maeyer, Philippe [3 ,5 ]
机构
[1] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Univ Ghent, Dept Geog, B-9000 Ghent, Belgium
[4] Sino Belgian Joint Lab Geoinformat, Urumqi 830011, Peoples R China
[5] Sino Belgian Joint Lab Geoinformat, B-9000 Ghent, Belgium
[6] Natl Inst Water & Atmospher Res, Christchurch 8000, New Zealand
来源
REMOTE SENSING | 2018年 / 10卷 / 03期
基金
中国国家自然科学基金;
关键词
soil moisture; remote sensing; land cover; precipitation; temperature; TARIM RIVER-BASIN; LAND-USE; MICROWAVE OBSERVATIONS; L-BAND; AIR-TEMPERATURE; WATER-RESOURCES; CLIMATE-CHANGE; VEGETATION; RETRIEVAL; IMPACT;
D O I
10.3390/rs10030468
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Soil moisture plays a crucial role in the hydrological cycle and climate system. The reliable estimation of soil moisture in space and time is important to monitor and even predict hydrological and meteorological disasters. Here we studied the spatiotemporal variations of soil moisture and explored the effects of precipitation and temperature on soil moisture in different land cover types within the Tarim River Basin from 2001 to 2015, based on high-spatial-resolution soil moisture data downscaled from the European Space Agency's (ESA) Climate Change Initiative (CCI) soil moisture data. The results show that the spatial average soil moisture increased slightly from 2001 to 2015, and the soil moisture variation in summer contributed most to regional soil moisture change. For the land cover, the highest soil moisture occurred in the forest and the lowest value was found in bare land, and soil moisture showed significant increasing trends in grassland and bare land during 2001 similar to 2015. Both partial correlation analysis and multiple linear regression analysis demonstrate that in the study area precipitation had positive effects on soil moisture, while temperature had negative effects, and precipitation made greater contributions to soil moisture variations than temperature. The results of this study can be used for decision making for water management and allocation.
引用
收藏
页数:18
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