Spatial and temporal characteristics of actual evapotranspiration over Haihe River basin in China
Artikel i vetenskaplig tidskrift, 2012

Spatial and temporal characteristics of actual evapotranspiration over the Haihe River basin in China during 1960–2002 are estimated using the complementary relationship and the Thornthwaite water balance (WB) approaches. Firstly, the long-term water balance equation is used to validate and select the most suitable long-term average annual actual evapotranspiration equations for nine subbasins. Then, the most suitable method, the Pike equation, is used to calibrate parameters of the complementary relationship models and the WB model at each station. The results show that the advection aridity (AA) model more closely estimates actual evapotranspiration than does the Granger and Gray (GG) model especially considering the annual and summer evapotranspiration when compared with theWBmodel estimates. The results from theAA model and the WB model are then used to analyze spatial and temporal changing characteristics of the actual evapotranspiration over the basin. The analysis shows that the annual actual evapotranspirations during 1960–2002 exhibit similar decreasing trends in most parts of the Haihe River basin for the AA and WB models. Decreasing trends in annual precipitation and potential evapotranspiration, which directly affect water supply and the energy available for actual evapotranspiration respectively, jointly lead to the decrease in actual evapotranspiration in the basin. A weakening of the water cycle seems to have appeared, and as a consequence, the water supply capacity has been on the decrease, aggravating water shortage and restricting sustainable social and economic development in the region.

Haihe River basin

Complementary relationship

Actual evapotranspiration

Trend

China

Thornthwaite water balance model

Författare

Ge Gao

Göteborgs universitet

Xu C.-Y.

Deliang Chen

Göteborgs universitet

Chalmers, Göteborgs miljövetenskapliga centrum (GMV)

Singh V. P.

Stochastic Environmental Research and Risk Assessment

1436-3240 (ISSN) 1436-3259 (eISSN)

Vol. 26 655-669

Ämneskategorier

Geovetenskap och miljövetenskap

DOI

10.1007/s00477-011-0525-1