A basin-scale water budget calibration method for sustainable water management: A case study in the Loess Plateau, China
Year: 2025
Type: article
Abstract: Accurate water budget closure is critical for sustainable water resource management facing increased pressures from climate change and human activities. Although error reduction methods for individual water balance components have advanced, persistent biases remain due to the independent development of datasets, impacting basin scale water budget balance. In this research, we analyzed the mathematical origin of the bias between water budget components and developed a new basin-scale water balance calibration method that redistributes errors across components while enforcing water balance constraints. Validation confirms systematic improvements, with reduced RMSE (Precipitation: -2.29 mm/month; ET: -1.34 mm/month) and increased R ² against in situ observations. Applied to the Jinghe River Basin (2000−2019), the calibrated data reveal declining precipitation (-1.70 mm/year) and evapotranspiration (-1.84 mm/year) alongside slightly increasing runoff (0.20 mm/year in basin depth), signaling a drying trend. Land cover changes—marked by cropland loss (-3,497 km²) and forest (+720 km²) and grassland (+2,776 km²) expansion—reflect improved water consumption requirements by ecosystem, raising concerns for water retention and ecosystem stability. The method is particularly effective for ungauged basins with sparse ground data and underscores the need for integrated land-water management to enhance long-term resilience.
Source: Geography and sustainability
Authors: Zonghan Ma, Bingfang Wu, Nana Yan, Weiwei Zhu, Mengxiao Li, Hongwei Zeng, Yixuan Wang, Peilin Song, Qiquan Yang, Qingcheng Pan
Language: English
Subfield: Water Science and Technology
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,700
Funders: National Natural Science Foundation of China, Natural Science Foundation of Hainan Province, Hainan Provincial Department of Science and Technology, National Key Research and Development Program of China, National Key Research and Development Program of China Stem Cell and Translational Research
OpenAlex ID: W4416956830
