The responses of hydrological processes to climate change and anthropogenic influence have received significant attention over the past few decades. Several Budyko-based methods have been widely used to attribute hydrological variations and identify the extent of variation due to climate change and human activities. However, the accuracy of various methods has rarely been compared. This study employed four Budyko-based methods, namely the total differential method, complementary method, extrapolation method, and decomposition method, to attribute the changes in actual evapotranspiration in 13 basins in China's Loess Plateau. We compared their performances and analysed factors that contribute to the differences in attribution results yielded by the various methods. The results showed that the total differential, complementary, and decomposition methods presented similar estimates of the contributions of climate change and human activities. However, the extrapolation method showed a large deviation in the contribution of human activities. The error of the extrapolation method was the largest, followed by that of the two-stage total differential method. The complementary method and decomposition method exhibited negligible errors.
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http://dx.doi.org/10.1038/s41598-018-31036-x | DOI Listing |
J Environ Manage
March 2023
Department of Environmental Health & Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA.
The Budyko-based elasticity method has been widely employed to clarify the driving factors behind runoff changes. However, different formulations of the Budyko framework could produce biases in the elasticity analysis and the assessment errors induced from different formulations of the Budyko framework in the elasticity method remain unclear. Here, we attempt to address this issue by validating the performance of elasticity methods derived from two analytical Budyko equations (Fu's equation and Choudhury's equation), as well as one empirical Budyko equation (Wang-Tang's equation) of the Budyko framework across 22 basins in China.
View Article and Find Full Text PDFSci Total Environ
May 2020
CSIRO Data 61, Private Bag 5, Wembley, WA 6913, Australia.
Understanding the impacts of climate change on runoff is of great importance for water resource assessments and adaptation strategy developments especially for the areas where scare and unevenly distributed water are available. Compared to the hydrological modelling method, the climate elasticity method is more flexible with the advantage of using few data in addressing the issue of investigating the effects of climate change on runoff. This study employed Budyko-based climate elasticity method, combined with temperature-based Blaney-Criddle equation, to obtain the elasticities of runoff to two major climate variables, and then applied this methodology to the upper reach of Heihe River basin, China.
View Article and Find Full Text PDFMethodsX
March 2019
University of Warsaw, Faculty of Geography and Regional Studies, Department of Hydrology, Poland.
The streamflow elasticity concept based on the Budyko framework is widely used in hydrological impact assessment studies. However, in landscapes transformed by human activities, identification of climate contributions to runoff change is difficult due to changing surface properties of river basins. Here, a method is proposed to quantify the effects of changing vegetation cover and included them in the calculus.
View Article and Find Full Text PDFSci Total Environ
May 2019
School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China. Electronic address:
Reliable attribution of changes in streamflow is fundamental to our understanding of the hydrological cycle and is needed to enable decision makers to manage water resources in a sustainable way. Here, we used a new attribution method based on the Budyko framework (complementary method) to quantify the contributions of climate change and human activities to the changes in annual streamflow in 22 catchments on China's Loess Plateau during the past three decades. Our results showed that after the Grain-for-Green (GFG) project, the annual streamflow decreased by 36% on average (3-72%), with reductions being more intense in northern catchments.
View Article and Find Full Text PDFSci Rep
August 2018
Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China.
The responses of hydrological processes to climate change and anthropogenic influence have received significant attention over the past few decades. Several Budyko-based methods have been widely used to attribute hydrological variations and identify the extent of variation due to climate change and human activities. However, the accuracy of various methods has rarely been compared.
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