Publications by authors named "Jingqiao Mao"

Small water bodies (SWBs) are vital for freshwater biodiversity and ecosystem services, yet they remain underrepresented in research compared to larger water bodies, despite being particularly vulnerable to anthropogenic activities and climate change. Advances in satellite remote sensing, particularly the Joint Research Centre's Global Surface Water (JRC-GSW) dataset derived from Landsat imagery, provide an unprecedented opportunity for high-resolution and long-term analysis of SWBs spatio-temporal dynamics. This study leverages the JRC-GSW dataset to assess the impacts of the Three Gorges Dam (TGD) on SWBs in the Dongting Lake region, focusing on maximum and minimum water extents during wet and dry seasons pre- and post-dam impoundment.

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Lakes are important inland surface water resources and have great influence on the ecological environment as well as the surrounding residential life. However, global lake water resources showed a depleting tendency over the past decades because of the climate change and human activities. To mitigate the drought of lakes linked to a regulated main river, this study proposes an integrated scheduling-assessing system (ISAS) based on the machine learning methodology for a large river-lake system controlled by upstream reservoirs.

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Optimization of light-based fish passage facilities has attracted extensive attention, but studies under the influence of various environmental factors are scarce. We established a novel experimental method to measure the phototactic behavior of . The results showed that preferred the four light colors in the order green, blue, red, and yellow.

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Three Gorges Reservoir (TGR) is one of the largest man-made lakes in the world. Since the impoundment in 2003, however, algal blooms have been often observed in the tributary embayments. To control the algal blooms, a thorough understanding of the hydrodynamics (e.

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An integrated eutrophication assessment framework is developed for lakes and reservoirs based on an ecogeographical classification method and an artificial neural network model. Using the USEPA Nutrient Criteria Database as the basic reference and considering the ecogeographical characteristics of Chinese lakes and reservoirs, a simple eutrophication assessment criterion considering the ecogeographical characteristics is proposed for the first time. This criterion places the emphasis on the determination of critical values of key parameters for various regions.

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Taihu Lake, the largest freshwater shallow lake in eastern China, has suffered from severe eutrophication over the past two decades. This research developed a three-dimensional eutrophication model to investigate the eutrophication dynamics. The model fully coupled the biological processes and hydrodynamics, and also took into account the effects of sediment release and the external loads from the tributaries.

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