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| DOI：10.13522/j.cnki.ggps.2026077 |
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| Spatiotemporal dynamics of reservoir area in the Yellow River Basin and the underlying drivers |
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Dong Junlin, Qiu Xiaocong, Yin Juan, Wang Chuyou
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1. School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan 750021, China; 2. School of Life Sciences,
Ningxia University, Yinchuan 750021, China; 3. Shanxi Provincial Geological Survey Institute Co., Ltd., Taiyuan 030006, China
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| Abstract: |
| 【Objective】Reservoirs are critical components of water-resource regulation; understanding their long-term dynamics and the underlying mechanisms is essential for sustainable water management and ecological security. This study analyzed the spatiotemporal dynamics of reservoir areas and the underlying natural and anthropogenic drivers in the Yellow River Basin.【Method】Spatiotemporal variations in water surface areas of 66 reservoirs across the basin were extracted from multi-source Landsat and Sentinel imagery acquired from 1990 to 2020 using the Google Earth Engine platform. Pearson correlation analysis and geographically and temporally weighted regression (GTWR) were employed to quantify the effects of natural and anthropogenic factors on reservoir area.【Result】In the past three decades, the total reservoir area in the basin increased at an average rate of 9.43 km2/year. The total reservoir area reached a maximum of 1 205.63 km2 in 2012, representing a 36.61% increase relative to 1990. Change in reservoir area varied across elevation gradients, with reservoirs at elevations above 3 000 m exhibiting the highest average annual increase, at a rate of 4.21 km2/year. The GTWR model revealed that mean annual temperature and precipitation, which varied spatially, were the dominant factors influencing reservoir areas. In high-elevation areas, precipitation was negatively correlated with reservoir areas, likely due to the lagged contribution of snowmelt to reservoir inflow. In low-elevation regions, human activities had a positive influence on reservoir areas.【Conclusion】These findings indicate that reservoirs in densely populated areas are strongly influenced by anthropogenic and socioeconomic factors, with reservoir dynamics primarily reflecting flood-control and water-supply demands. By integrating long-term remote sensing monitoring with spatiotemporal modeling, this study revealed the complex interactions between natural and socioeconomic factors in their influence on reservoir dynamics and provided scientific support for optimizing water-resource allocation and ecological protection in the Yellow River Basin. |
| Key words: reservoir area climate change human activities geographically and temporally weighted regression model driving factors |
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