Partitioning Green and Blue Evapotranspiration by Improving Budyko Equation Using Remote Sensing Observations in an Arid/Semi-Arid Inland River Basin in China

Remote Sensing, Год журнала: 2025, Номер 17(4), С. 612 - 612

Опубликована: Фев. 11, 2025

The estimation of water requirements constitutes a critical prerequisite for delineating scarcity hotspots and mitigating intersectoral competition, particularly in endorheic basins arid or semi-arid regions where hydrological closure exacerbates resource allocation conflicts. Under conditions scarcity, supplied locally by precipitation shallow groundwater bodies should be taken into account to estimate the net met with conveyed from off-site sources. This concept is embodied distinction blue ET (BET) green (GET). In this study, Budyko hypothesis (BH) method was optimized partition total GET BET during 2001–2018 Heihe River Basin. region, better knowledge even more important due policies which reduced supply irrigated lands last 15 years. study proposes modified BH based on new vegetation-specific parameter (ωv) different vegetation types using actual data obtained remote sensing observations. results show that partitioned reasonably well, percent bias 23.8% 37.4% root mean square error 84.8 mm/a 113.6 mm/a, respectively, when compared reported data, are superior deficit soil balance methods. A sensitivity experiment showed exhibits low uncertainties input data. documented differences contribution across land cover As expected, rainfed forest grassland ecosystems predominantly governed GET, 81.3% 87.2% ET, respectively. contrast, croplands shrublands primarily regulated BET, contributions 61.5% 84.3% ET. improved developed paves way further analyses regions.

Язык: Английский

Quantifying the effects of climate and environmental changes on evapotranspiration variability in the Sahel

Journal of Hydrology, Год журнала: 2024, Номер 642, С. 131874 - 131874

Опубликована: Авг. 18, 2024

Язык: Английский

Quantifying Sahel Runoff Sensitivity to Climate Variability, Soil Moisture and Vegetation Changes Using Analytical Methods

Earth Systems and Environment, Год журнала: 2024, Номер unknown

Опубликована: Сен. 16, 2024

Язык: Английский