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1.
Changing properties of precipitation concentration in the Pearl River basin, China 总被引:13,自引:3,他引:13
Qiang Zhang Chong-yu Xu Marco Gemmer Yongqin David Chen Chunling Liu 《Stochastic Environmental Research and Risk Assessment (SERRA)》2009,23(3):377-385
In this paper, precipitation concentrations across the Pearl River basin and the associated spatial patterns are analyzed
based on daily precipitation data of 42 rain gauging stations during the period 1960–2005. Regions characterized by the different
changing properties of precipitation concentration index (CI) are identified. The southwest and northeast parts of the Pearl
River basin are characterized by lower and decreasing precipitation CI; the northwest and south parts of the study river basin
show higher and increasing precipitation CI. Higher but decreasing precipitations CI are found in the West and East River
basin. Comparison of precipitation CI trends before and after 1990 shows that most parts of the Pearl River basin are characterized
by increasing precipitation CI after 1990. Decreasing precipitation CI after 1990 (compared to precipitation CI changes before
1990) is observed only in a few stations located in the lower Gui River and the lower Yu River. Significant increasing precipitation
CI after 1990 is detected in the West River, lower North River and upper Beipan River. These changes of precipitation CI in
the Pearl River basin are likely to be associated with the consequences of the well-evidenced global warming. These findings
can contribute to basin-scale water resource management and conservation of ecological environment in the Pearl River basin. 相似文献
2.
AbstractThis paper develops an algorithm for computing spatially-distributed monthly potential evaporation (PE) over a mountainous region, the Lhasa River basin in China. To develop the algorithm, first, correlation analysis of different meteorological variables was conducted. It was observed that PE is significantly correlated with vapour pressure and temperature differences between the land surface and the atmosphere. Second, the Dalton model, which was developed based on the mass transfer mechanism, was modified by including the influence of the related meteorological variables. Third, the influence of elevation on monthly temperature, vapour pressure and wind velocity was analysed, and functions for extending these meteorological variables to any given altitude were developed. Fourth, the inverse distance weighting method was applied to integrate the extended meteorological variables from five stations adjacent to and within the Lhasa River basin. Finally, using the modified Dalton model and the integrated meteorological variables, we computed the spatially-distributed monthly PE. This study indicated that spatially-distributed PE can be obtained using data from sparse meteorological stations, even if only one station is available; the results show that in the Lhasa River basin PE decreases when elevation increases. The new algorithm, including the modified model and the method for spatially extending meteorological variables can provide the basic inputs for distributed hydrological models.
Editor Z.W. Kundzewicz 相似文献