Climate controls on the terrestrial water balance: Influence of aridity on the basin characteristics parameter in the Budyko framework

被引:23
|
作者
Saha, Anamitra [1 ]
Joseph, Jisha [1 ]
Ghosh, Subimal [1 ,2 ]
机构
[1] Indian Inst Technol, Dept Civil Engn, Mumbai 400076, Maharashtra, India
[2] Indian Inst Technol, Interdisciplinary Program Climate Studies, Mumbai 400076, Maharashtra, India
关键词
Conceptual hydrological frameworks; Climate change; Low-warming scenarios; ENERGY-BALANCE; SURFACE-WATER; SPATIAL VARIABILITY; STREAMFLOW; EVAPOTRANSPIRATION; RUNOFF; MODEL; SENSITIVITY; EQUATION; PREDICT;
D O I
10.1016/j.scitotenv.2020.139863
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The terrestrial water balance can be represented by the ratio of evapotranspiration to precipitation, which is expressed as a function of the aridity index (phi) and the basin characteristics parameter (n) in the Budyko framework. Traditionally n is assumed to be a constant for a catchment, independent to the climatic variables and altered only by changes in land cover and human activities. Another conceptual framework, Climate Change Impact Hypotheses (CCUW), makes similar assumption of constant catchment efficiency for evapotranspiration. In this study, using Variation Infiltration Capacity (VIC) model experiments, we show that the basin characteristics parameter and catchment efficiency are influenced by aridity index, in contrast with the traditional assumption. We also examine the analytical derivation of a functional form of Budyko equation and show that the assumption of n being independent of the climate variables is not valid. Hydrologic simulations with VIC show that the influence of seasonal change in vegetation (in the form of Leaf Area Index) on n is negligible compared to that of aridity, but the intra-seasonal rainfall variability does have impacts. We demonstrate these with a case study on impact of 1.5 degrees C and 2 degrees C global warming scenarios on the terrestrial water cyde in the Ganga river basin, one of the large river basins of South Asia with multiple sub-basins. Our findings imply that, with these assumptions, classical conceptual frameworks cannot fully explain the hydrometeorological impacts of climate change. These results highlight the importance of model evaluation and assessment of model assumptions before regional impact assessment studies. (C) 2020 Elsevier B.V. All rights reserved.
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页数:13
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