基于遥感蒸散发时空双约束的水文模型率定方法
By employing a hydrological model calibration method with spatiotemporal constraints based on remote sensing evapotranspiration, and utilizing the local Moran index and the improved spatial similarity index SPSI, the hydrological model parameters are calibrated step by step. This addresses the problem of underutilization of remote sensing data and improves the simulation accuracy and runoff prediction performance of the watershed hydrological model.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
- Filing Date
- 2026-02-06
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies fail to fully utilize the spatiotemporal information of remote sensing evapotranspiration data in the calibration of watershed hydrological models in areas lacking or without data, resulting in insufficient simulation accuracy. Furthermore, they neglect the spatial heterogeneity and local characteristics of remote sensing data, affecting the simulation effect of watershed water cycle.
A hydrological model calibration method based on the spatiotemporal dual constraints of remote sensing evapotranspiration was adopted. The hydrological model parameters were calibrated step by step by using the local Moran index and the improved spatial similarity index SPSI, combined with the optimization algorithm. Multi-step optimization was carried out using the spatial distribution and time series of remote sensing evapotranspiration data.
It improves the simulation accuracy of watershed hydrological models, reduces the uncertainty of single constraint calibration, provides reliable simulation basis for areas with scarce or no data, and achieves higher runoff simulation results.
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Figure CN122021447B_ABST