EGU26-8859, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-8859
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Wednesday, 06 May, 16:15–18:00 (CEST), Display time Wednesday, 06 May, 14:00–18:00
 
Hall A, A.101
Coupling Water-Energy Balances for Remote Sensing Water Resources Assessment 
Jibin Chen1 and Zhongjing Wang1,2,3
Jibin Chen and Zhongjing Wang
  • 1Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China(cjb22@mails.tsinghua.edu.cn)
  • 2State Key Laboratory of Hydro-science and Engineering, Tsinghua University, Beijing 100084, China
  • 3School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan 750021, China

Accurate water resources assessment is the fundament of integrated water resources management. However, conventional assessment methods rely on sparse gauging networks, empirical reduction procedures, and intensive calibration, which can lead to reduction distortion, failure, and large uncertainty in data-limited basins. This study developed a total remote sensing process framework to assessment water resources. It retrieves precipitation, condensate and evapotranspiration by remote sensing data, and constrains the fluxes into a set of dual-closure equations which simultaneously enforces the water-energy balances. Taking Yongding River Basin as the testing region, the results show that runoff, that is the blue water resources,  generated start from elevation of 2400 m, accumulating along downslope, and reaches the maximum with 2.049 billion m³ at elevation of 1050 m. Below the elevation, the water resources presented a dissipation toward outlet. The assessment is not only reduced the dependency of ground observation, but also increased the detailedness, including formation, retention, dissipation across complex terrain and consumption. It provides a water resource accounting solution for where situ observations are incomplete or inaccessible.

How to cite: Chen, J. and Wang, Z.: Coupling Water-Energy Balances for Remote Sensing Water Resources Assessment , EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8859, https://doi.org/10.5194/egusphere-egu26-8859, 2026.