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Titel |
Drought assessment in the Dongliao River basin: traditional approaches vs. generalized drought assessment index based on water resources systems |
VerfasserIn |
B. S. Weng, D. H. Yan, H. Wang, J. H. Liu, Z. Y. Yang, T. L. Qin, J. Yin |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1561-8633
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Digitales Dokument |
URL |
Erschienen |
In: Natural Hazards and Earth System Sciences ; 15, no. 8 ; Nr. 15, no. 8 (2015-08-24), S.1889-1906 |
Datensatznummer |
250119643
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Publikation (Nr.) |
copernicus.org/nhess-15-1889-2015.pdf |
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Zusammenfassung |
Drought is firstly a resource issue, and with its development it evolves
into a disaster issue. Drought events usually occur in a determinate but a
random manner. Drought has become one of the major factors to affect
sustainable socioeconomic development. In this paper, we propose the
generalized drought assessment index (GDAI) based on water resources systems
for assessing drought events. The GDAI considers water supply and water
demand using a distributed hydrological model. We demonstrate the use of the
proposed index in the Dongliao River basin in northeastern China. The
results simulated by the GDAI are compared to observed drought disaster
records in the Dongliao River basin. In addition, the temporal distribution of
drought events and the spatial distribution of drought frequency from the
GDAI are compared with the traditional approaches in general (i.e., standard
precipitation index, Palmer drought severity index and rate of water deficit
index). Then, generalized drought times, generalized drought duration, and
generalized drought severity were calculated by theory of runs. Application
of said runs at various drought levels (i.e., mild drought, moderate drought,
severe drought, and extreme drought) during the period 1960–2010 shows that
the centers of gravity of them all distribute in the middle reaches of
Dongliao River basin, and change with time. The proposed methodology may
help water managers in water-stressed regions to quantify the impact of
drought, and consequently, to make decisions for coping with drought. |
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