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Titel |
China's water sustainability in the 21st century: a climate-informed water risk assessment covering multi-sector water demands |
VerfasserIn |
X. Chen, D. Naresh, L. Upmanu, Z. Hao, L. Dong, Q. Ju, J. Wang, S. Wang |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1027-5606
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Digitales Dokument |
URL |
Erschienen |
In: Hydrology and Earth System Sciences ; 18, no. 5 ; Nr. 18, no. 5 (2014-05-08), S.1653-1662 |
Datensatznummer |
250120349
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Publikation (Nr.) |
copernicus.org/hess-18-1653-2014.pdf |
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Zusammenfassung |
China is facing a water resources crisis with growing concerns as to the
reliable supply of water for agricultural, industrial and domestic needs.
High inter-annual rainfall variability and increasing consumptive use across
the country exacerbates the situation further and is a constraint on future
development. For water sustainability, it is necessary to examine the
differences in water demand and supply and their spatio-temporal distribution
in order to quantify the dimensions of the water risk. Here, a detailed
quantitative assessment of water risk as measured by the spatial distribution
of cumulated deficits for China is presented. Considering daily precipitation
and temperature variability over fifty years and the current water demands,
risk measures are developed to inform county level water deficits that
account for both within-year and across-year variations in climate. We choose
political rather than watershed boundaries since economic activity and water
use are organized by county and the political process is best informed
through that unit. As expected, the risk measures highlight North China Plain
counties as highly water stressed. Regions with high water stress have high
inter-annual variability in rainfall and now have depleted groundwater
aquifers. The stress components due to agricultural, industrial and domestic
water demands are illustrated separately to assess the vulnerability of
particular sectors within the country to provide a basis for targeted policy
analysis for reducing water stress. |
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