Spatiotemporal variation of actual evapotranspiration in a transboundary river basin based on MGWR downscaling

IF 5 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies Pub Date : 2025-09-29 DOI:10.1016/j.ejrh.2025.102803

Boyang Li , Hangnan Yu , Jing Zhao , Jiangtao Yu , Xinyue Gao , Weihong Zhu

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引用次数: 0

Abstract

Study region

Tumen River Basin.

Study focus

Achieving high spatial resolution of actual evapotranspiration (ETa) is crucial for effective management of regional soil and water resources. However, current satellite technology limits the simultaneous acquisition of high temporal and spatial resolution data. Thus, downscaling ETa from lower to higher resolution is a practical solution. In this paper, the multi-scale geographically weighted regression (MGWR) model is used to downscale ETa data in the Tumen River Basin (TRB) from 1 km to 30 m resolution, using normalized difference vegetation index (NDVI), land surface temperature (LST), and digital elevation model (DEM) as independent variables. Furthermore, this study analyzed the spatiotemporal evolution of ETa in the TRB from 1990 to 2020 using high-resolution ETa data obtained from downscaling across seven periods.

New hydrological insights for the region

The results show the MGWR model's effectiveness, achieving an R² of 0.912, and accurately capturing the spatially heterogeneous relationships between ETa and the independent variables. The downscaled ETa data enhances spatial detail while preserving the original low-resolution patterns. From 1990–2020, ETa in the TRB showed a generally non-significant decreasing trend, with the basin-wide average decreasing from 102.37 mm to 101.06 mm. On the Chinese side, it declined from 107.12 mm to 105.93 mm, and on the side of the Democratic People's Republic of Korea (DPRK), from 91.78 mm to 90.22 mm.

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基于MGWR降尺度的跨界河流流域实际蒸散发时空变化

研究区域图们江流域。研究重点实现实际蒸散发的高空间分辨率对区域水土资源的有效管理至关重要。然而，目前的卫星技术限制了同时获取高时间和空间分辨率数据。因此，将ETa从较低分辨率降至较高分辨率是一种实用的解决方案。本文采用多尺度地理加权回归（MGWR）模型，以归一化植被指数（NDVI）、地表温度（LST）和数字高程模型（DEM）为自变量，将图门河流域ETa数据从1 km降尺度到30 m分辨率。在此基础上，利用7个时期的高分辨率ETa数据，分析了1990 - 2020年TRB ETa的时空演变特征。结果表明MGWR模型的有效性，其R²为0.912，能够准确地捕捉ETa与自变量之间的空间异质性关系。缩小的ETa数据增强了空间细节，同时保留了原始的低分辨率模式。1990—2020年，TRB内ETa呈总体不显著下降趋势，全流域平均ETa由102.37 mm下降至101.06 mm。在中国方面，它从107.12 mm下降到105.93 mm，在朝鲜民主主义人民共和国（DPRK）方面，它从91.78 mm下降到90.22 mm。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Hydrology-Regional Studies Earth and Planetary Sciences-Earth and Planetary Sciences (miscellaneous)

CiteScore

6.70

自引率

8.50%

发文量

284

审稿时长

60 days

期刊介绍： Journal of Hydrology: Regional Studies publishes original research papers enhancing the science of hydrology and aiming at region-specific problems, past and future conditions, analysis, review and solutions. The journal particularly welcomes research papers that deliver new insights into region-specific hydrological processes and responses to changing conditions, as well as contributions that incorporate interdisciplinarity and translational science.