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@ARTICLE{2026Atmos..17..244Y,
       author = {{Yang}, Meie and {Wei}, Guanghui and {Yang}, Shichen and {Yao}, Xiaochen},
        title = "{Variation Characteristics of Evapotranspiration and Water Consumption Effectiveness Evaluation in the Aksu River Basin Based on Multi-Source Data Fusion}",
      journal = {Atmosphere},
     keywords = {evapotranspiration estimation, multi-source data fusion, Bayesian model averaging, Aksu River Basin, water consumption effectiveness, water resource management, arid region hydrology, spatiotemporal variation characteristics},
         year = 2026,
        month = feb,
       volume = {17},
       number = {3},
          eid = {244},
        pages = {244},
     abstract = "{In order to improve the robustness and internal consistency of
        evapotranspiration estimation in arid regions and to reveal the
        characteristics of water consumption structure within a river
        basin, this study focused on the Aksu River Basin. Multiple data
        sources, including the Penman─Monteith model, MODIS remote
        sensing products, GRACE terrestrial water storage change data,
        and the GLDAS─Noah model, were integrated to establish a
        Bayesian Model Averaging (BMA)-based framework for fusing actual
        evapotranspiration (ETa) estimates. The results indicate that
        the BMA integration effectively mitigated model-dependent biases
        and improved the consistency and robustness of basin-scale ETa
        estimates. During the period 2000─2020, ETa in the basin
        exhibited an overall increasing trend (approximately 4.04 mm/a),
        with a spatial distribution pattern characterized by higher
        values in the northwest and lower values in the southeast. In
        terms of water consumption effectiveness, low-effectiveness
        water consumption predominated in the basin (accounting for
        61.24\%), while high-effectiveness water consumption accounted
        for a relatively smaller proportion (26.01\%). These results
        suggest that the current water consumption structure remains
        dominated by low-effectiveness components, indicating potential
        room for optimization in balancing irrigation activities and
        ecosystem water use. The multi-source data fusion and water
        consumption effectiveness evaluation framework proposed in this
        study provides a scientific basis for water resource management
        and ecological water security assessment in arid river basins.}",
          doi = {10.3390/atmos17030244},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2026Atmos..17..244Y},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}