Deep learning for water quality
Understanding and predicting the quality of inland waters are challenging, particularly in the
context of intensifying climate extremes expected in the future. These challenges arise partly …
context of intensifying climate extremes expected in the future. These challenges arise partly …
Quantifying the changes in solute transport caused by human influence on river connectivity in inland river basins
W Zhang, G Zhu, L Zhao, L Wang, D Qiu, L Ye, S Lu… - Catena, 2024 - Elsevier
River connectivity maintains the transport of nutrients, organic matter, and organisms,
serving as a crucial link in global and regional biogeochemical cycles. However …
serving as a crucial link in global and regional biogeochemical cycles. However …
Watershed landscape characteristics and connectivity drive river water quality under seasonal dynamics
Y Xu, P Li, F Ma, X Liu, N Zhang, J Pan… - Journal of Cleaner …, 2024 - Elsevier
Landscape characteristics and connectivity are pivotal determinants of river water quality
within the context of water quality management. They play particularly important roles in the …
within the context of water quality management. They play particularly important roles in the …
Exploring the effects of climate change and urban policies on lake water quality using remote sensing and explainable artificial intelligence
P Tian, Z Xu, W Fan, H Lai, Y Liu, P Yang… - Journal of Cleaner …, 2024 - Elsevier
Climate change and urban policies significantly impact lake water quality, especially in
rapidly develo** regions. Existing impact assessments are limited by the duration and …
rapidly develo** regions. Existing impact assessments are limited by the duration and …
Land use and urbanization indirectly control riverine CH4 and CO2 emissions by altering nutrient input
P Cui, L Cui, Y Zheng, F Su - Water Research, 2024 - Elsevier
Urban rivers are recognized as significant sources of methane (CH 4) and carbon dioxide
(CO 2) emissions. Despite this, the influence of land use and urbanization on carbon …
(CO 2) emissions. Despite this, the influence of land use and urbanization on carbon …
Rebalancing River Lateral Connectivity: An Interdisciplinary Focus for Research and Management
Lateral connectivity between rivers and terrestrial landscapes is critical for both river and
landscape health. Due to widespread anthropogenic degradation of riverscapes, river …
landscape health. Due to widespread anthropogenic degradation of riverscapes, river …
Enhancing river water quality in different seasons through management of landscape patterns at various spatial scales
Y Gu, P Zhang, F Qin, Y Cai, C Li, X Wang - Journal of Environmental …, 2025 - Elsevier
Landscape patterns have a great effect on river water quality. However, the strategies for
enhancing water quality through landscape pattern management remain unclear. In this …
enhancing water quality through landscape pattern management remain unclear. In this …
Dissolved oxygen forecasting in the Mississippi River: advanced ensemble machine learning models
Dissolved oxygen (DO) is an important variable for rivers, which controls many
biogeochemical processes within rivers and the survival of aquatic species. Therefore …
biogeochemical processes within rivers and the survival of aquatic species. Therefore …
[HTML][HTML] High-intensity rainfall following drought triggers extreme nutrient concentrations in a small agricultural catchment
The profound influence of climate change on the hydrological cycle raises concerns about
its potential impacts on water quality, particularly in agricultural catchments. Here, we …
its potential impacts on water quality, particularly in agricultural catchments. Here, we …
Escalating Carbon Export from High-Elevation Rivers in a Warming Climate
High-elevation mountains have experienced disproportionately rapid warming, yet the effect
of warming on the lateral export of terrestrial carbon to rivers remains poorly explored and …
of warming on the lateral export of terrestrial carbon to rivers remains poorly explored and …