作者: Xinyao Zhou , Yongqiang Zhang , Yonghui Yang
DOI: 10.1155/2015/924572
关键词: Arid 、 Spatial variability 、 Evapotranspiration 、 Flood forecasting 、 Streamflow 、 Hydrology 、 Snowmelt 、 Climate change 、 Environmental science 、 Pan evaporation
摘要: Two widely used approaches, nonparametric approach and Budyko framework approach, were to calculate precipitation elasticity of streamflow () in China’s main river basins. While the illustrates only effect climate on , effects both human activity . Both approaches showed similar spatial pattern with high values for northern arid catchments low southern humid catchments, suggesting sensitivity north. Inland had values, probably because most annual was driven by glacial snowmelt. strong anthropologic activities reduce some which indicated lower produced combined use two underscored significance identifying factors streamflow.