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Hu, Weijie, Liu, Hailong, Bao, Anming, and El-Tantawi, Attia M., 2018. Influences of environmental changes on water storage variations in Central Asia. Journal of Geographical Sciences, 28(7):985–1000, doi:10.1007/s11442-018-1517-6.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2018JGSci..28..985H,
author = {{Hu}, Weijie and {Liu}, Hailong and {Bao}, Anming and {El-Tantawi}, Attia M.},
title = "{Influences of environmental changes on water storage variations in Central Asia}",
journal = {Journal of Geographical Sciences},
keywords = {terrestrial water storage, Central Asia, climate change, land use},
year = 2018,
month = jul,
volume = {28},
number = {7},
pages = {985-1000},
abstract = "{The spatio-temporal pattern of the global water resource has
significantly changed with climate change and intensified human
activities. The regional economy and ecological environment are
highly affected by terrestrial water storage (TWS), especially
in arid areas. To investigate the variation of TWS and its
influencing factors under changing environments, the response
relationships between TWS and changing environments (climate
change and human activities) in Central Asia have been analyzed
based on the Gravity Recovery and Climate Experiment (GRACE)
data, Climatic Research Unit (CRU) climate data and Moderate
Resolution Imaging Spectroradiometer (MODIS) remote sensing data
products (MOD16A2, MOD13A3 and MCD12Q1) from 2003 to 2013. The
slope and Pearson correlation analysis methods were used.
Results indicate that: (1) TWS in about 77 \% of the study area
has decreased from 2003 to 2013. The total change volume of TWS
is about 2915.6 {\texttimes} {}10$^{8}$ m$^{3}$. The areas of
decreased TWS are mainly distributed in the middle of Central
Asia, while the areas of increased TWS are concentrated in the
middle-altitude regions of the Kazakhstan hills and Tarim Basin.
(2) TWS in about 5.91\% of areas, mainly distributed in the
mountain and piedmont zones, is significantly positively
correlated with precipitation, while only 3.78\% of areas show
significant correlation between TWS and temperature. If the
response time was delayed by three months, there would be a very
good correlation between temperature and TWS. (3) There is a
significantly positive relationship between TWS and Normalized
Difference Vegetation Index (NDVI) in 13.35\% of the study area.
(4) The area of significantly positive correlation between TWS
and evapotranspiration is about 31.87\%, mainly situated in
mountainous areas and northwestern Kazakhstan. The reduction of
regional TWS is related to precipitation more than evaporation.
Increasing farmland area may explain why some areas show
increasing precipitation and decreasing evapotranspiration. (5)
The influences of land use on TWS are still not very clear. This
study could provide scientific data useful for the estimation of
changes in TWS with climate change and human activities.}",
doi = {10.1007/s11442-018-1517-6},
adsurl = {https://ui.adsabs.harvard.edu/abs/2018JGSci..28..985H},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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