Literature DB >> 31051367

Identifying climate change impacts on water resources in Xinjiang, China.

Min Luo1, Tie Liu2, Fanhao Meng3, Yongchao Duan4, Anming Bao5, Wei Xing5, Xianwei Feng6, Philippe De Maeyer7, Amaury Frankl8.   

Abstract

Water resources have an important role in maintaining ecological fuctions and sustaining social and economic development. This is especially true in arid and semi-arid areas, where climate change has a large impact on water resources, such as in Xinjiang, China. Using a combination of precipitation and temperature bias correction methods, we analyzed projected changes in different hydrological components in nine high-alpine catchments distributed in Xinjiang using the Soil and Water Assessment Tool (SWAT). The impacts of elevation, area and aspect of the catchments were analyzed. The results suggested an overall warming and wetting trend for all nine catchments in the near future, with the exception of summer precipitation decreasing in some catchments. The total runoff discharge, evapotranspiration and snow/ice melting will generally increase. Warming temperature plays a more important role in the changes of each hydrological component than increasing precipitation. However, northern Xinjiang was more sensitive to predicted precipitation changes than southern Xinjiang. These results also indicate that the overall increases in water resources are not sustainable, and the impacts of climate change are associated with the elevation, area and slope aspect of the catchments.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Catchment; Climate change; RCP; SWAT; Water resources

Year:  2019        PMID: 31051367     DOI: 10.1016/j.scitotenv.2019.04.297

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Analysis and prediction of vegetation dynamics under the background of climate change in Xinjiang, China.

Authors:  Qingwei Zhuang; Shixin Wu; Xiaoyu Feng; Yaxuan Niu
Journal:  PeerJ       Date:  2020-01-23       Impact factor: 2.984

  1 in total

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