Yue Yuan , Mingsheng Shang , Dongmin Wang , Guang Li , Meiling Liu , Ling Wu , Shuaipeng Wang , Botian Zhou
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引用次数: 0
Abstract
Study region
Lake Poyang and its upstream hydrographic network
Study focus
Lake Poyang plays a critical role in freshwater supply, flood regulation, and ecosystem maintenance. However, it has experienced increasing freshwater resource scarcity in recent decades. Understanding the spatiotemporal dynamics of lake inundation and its driving forces is therefore essential. This study develops a deep learning-based identification framework that integrates a knowledge-guided adaptive fusion network with probability mapping. Using batch-processed Landsat imagery from 1994 to 2023 on the Google Earth Engine platform, lake inundation was mapped and temporal trends were analysed.
New hydrological insights for the region
The results reveal pronounced interannual and seasonal fluctuations in Lake Poyang’s inundation extent. Both the yearly mean and yearly minimum inundated areas exhibit statistically significant declining trends over the past 30 years (−16.43 km2/yr and −21.51 km2/yr, respectively). Causal analyses highlight the influence of local climatic conditions and upstream hydrological changes across multiple temporal scales. The findings offer a novel method for attributing freshwater resource change and caution against attributing Lake Poyang’s shrinkage solely to either local climate change or upstream dam construction.
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.