 |
| Titel |
Changes in annual maximum number of consecutive dry and wet days during 1961–2008 in Xinjiang, China |
| VerfasserIn |
Y. Zhang, F. Jiang, W. Wei, M. Liu, W. Wang, L. Bai, X. Li, S. Wang |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1561-8633
|
| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 12, no. 5 ; Nr. 12, no. 5 (2012-05-09), S.1353-1365 |
| Datensatznummer |
250010804
|
| Publikation (Nr.) |
 copernicus.org/nhess-12-1353-2012.pdf |
|
|
|
|
|
| Zusammenfassung |
| Extreme precipitation events are major causes of severe
floods and droughts worldwide. Therefore, scientific understanding of
changing properties of extreme precipitation events is of great scientific
and practical merit in the development of human mitigation of natural
hazards, such as floods and droughts. Wetness and dryness variations during
1961–2008 in Xinjiang, a region of northwest China characterised by an arid
climate, are thoroughly investigated using two extreme precipitation
indices. These are annual maximum consecutive dry days (CDD) and annual
maximum consecutive wet days (CWD), based on a daily precipitation dataset
extracted from 51 meteorological stations across Xinjiang. As a result, we
present spatial distributions of mean annual CDD and mean annual CWD and
their trends within the study period. The results indicate that:
(1) CDD
maximize in the Taklimakan and Turban basins of southeast Xinjiang, while
minima are found in the Tianshan Mountains and the Ili river valley of
northwest Xinjiang. On the contrary, the longest CWD are observed in
northwest Xinjiang and the shortest in the southeast part of the region.
(2) On an annual basis, CWD temporal variability shows statistically positive
trends and a rate of increase of 0.1d/10a. CDD temporal variability shows
statistically negative trends and a rate of decrease of 1.7d/10a.
(3) Goodness-of-fit analysis for three candidate probability distribution
functions, generalised Pareto distribution (GPD), generalised
extreme value (GEV) and Gumbel, in terms of probability behaviours
of CDD and CWD, indicates that the GEV can well depict changes of CDD and
CWD.
(4) The CDD and CWD better describe wet and dry conditions than
precipitation in the Xinjiang. The results pave the way for scientific
evaluation of dryness/wetness variability under the influence of changing
climate over the Xinjiang region. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|