Spatial and Temporal Characteristics of Reference Evapotranspiration Trends in the Haihe River Basin, China
Publication: Journal of Hydrologic Engineering
Volume 16, Issue 3
Abstract
In this study, the spatial and temporal patterns of trends for reference evapotranspiration (RET) at 34 meteorological stations (between 1957 and 2007) in the Haihe River basin, China, were analyzed using the Mann-Kendall (MK) test and the Sen’s method. To reveal the possible causes and main driving forces of the changing patterns of RET, the spatial distribution and temporal patterns of trends for four meteorological variables (i.e., temperature, wind speed, relative humidity, and sunshine duration) were examined for each station. In addition, partial relative analysis between RET and meteorological variables and a sensitivity analysis of RET to meteorological variables were conducted. The results show the following: First, the Haihe River basin is dominated by a significant decreasing MK trend in annual RET at confidence level, which is observed at most stations in the eastern and southern areas of the basin. There are no observed trends or significant increasing MK trends in annual RET in the western plateau. For the intra-annual variability of RET, similar spatial-changing patterns are only observed in summer. Second, there are no obvious trends in RET from the late 1950s to the early 1970s for the whole basin. However, opposite trends of RET in the plateau area are identified after the 1970s in comparison with those in the plain and mountain area of the Haihe River basin. These two trends become significant in the late 1990s. Third, wind speed and sunshine duration are recognized as the two major driving forces for the decreasing trends in RET. Relative humidity is mainly responsible for the increasing trends in the western Haihe River basin during recent decades.
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Acknowledgments
This study was financially supported by the Major State Basic Research Development Program of China (973 Program, UNSPECIFIED2006CB403400), National Natural Science Fund of China (UNSPECIFIED51009046, 50839002 and 50809021), the Natural Science Fund of Jiangsu Province (UNSPECIFIEDBK2010519), and the Open Research Fund Program of State Key Laboratory of Water Resources and Hydropower Engineering Sciences (UNSPECIFIED2009B053). The authors are also grateful to the National Meteorological Information Center of China for providing the meteorological data.
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© 2011 American Society of Civil Engineers.
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Received: Nov 14, 2009
Accepted: Aug 19, 2010
Published online: Sep 6, 2010
Published in print: Mar 1, 2011
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