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[HTML][HTML] Embracing nature-based solutions to promote resilient marine and coastal ecosystems
The world is struggling to limit greenhouse gas emissions and reduce the human footprint
on nature. We therefore urgently need to think about how to achieve more with actions to …
on nature. We therefore urgently need to think about how to achieve more with actions to …
A systematic literature review on lake water level prediction models
Global climate change has led to large fluctuations in lake levels in recent years as
meteorological and hydrological parameters have changed and water use has been …
meteorological and hydrological parameters have changed and water use has been …
[HTML][HTML] Develo** a novel tool for assessing the groundwater incorporating water quality index and machine learning approach
Groundwater plays a pivotal role as a global source of drinking water. To meet sustainable
development goals, it is crucial to consistently monitor and manage groundwater quality …
development goals, it is crucial to consistently monitor and manage groundwater quality …
[HTML][HTML] Assessing water quality of an ecologically critical urban canal incorporating machine learning approaches
This study assessed water quality (WQ) in Tongi Canal, an ecologically critical and
economically important urban canal in Bangladesh. The researchers employed the Root …
economically important urban canal in Bangladesh. The researchers employed the Root …
Hybrid WT–CNN–GRU-based model for the estimation of reservoir water quality variables considering spatio-temporal features
Water quality indicators (WQIs), such as chlorophyll-a (Chl-a) and dissolved oxygen (DO),
are crucial for understanding and assessing the health of aquatic ecosystems. Precise …
are crucial for understanding and assessing the health of aquatic ecosystems. Precise …
[HTML][HTML] Barriers and enablers for upscaling coastal restoration
Coastal restoration is often distrusted and, at best, implemented at small scales, which
hampers its potential for coastal adaptation. Present technical, economic and management …
hampers its potential for coastal adaptation. Present technical, economic and management …
A systematic review and meta-analysis of groundwater level forecasting with machine learning techniques: Current status and future directions
JL Uc-Castillo, AE Marín-Celestino… - … Modelling & Software, 2023 - Elsevier
Accurate and reliable groundwater level (GWL) forecasting is crucial for develo**
strategies and managing water resources. In recent years, Machine Learning (ML) has …
strategies and managing water resources. In recent years, Machine Learning (ML) has …
[HTML][HTML] Pluvial flood risk assessment for 2021–2050 under climate change scenarios in the Metropolitan City of Venice
Pluvial flood is a natural hazard occurring from extreme rainfall events that affect millions of
people around the world, causing damages to their properties and lives. The magnitude of …
people around the world, causing damages to their properties and lives. The magnitude of …
Modeling of algal blooms: Advances, applications and prospects
Algal blooms represent a pivotal ecological phenomenon in marine ecosystems, exerting
significant influence on energy transfer, material cycling, and ecological structure and …
significant influence on energy transfer, material cycling, and ecological structure and …
Research on out-of-sample prediction method of water quality parameters based on dual-attention mechanism
Z Zheng, H Ding, Z Weng, L Wang - Environmental Modelling & Software, 2024 - Elsevier
Predicting water quality data is an important measure for ecological environment protection
in watersheds. Aiming at the problem that existing prediction algorithms rarely analyze the …
in watersheds. Aiming at the problem that existing prediction algorithms rarely analyze the …