Applications of XGBoost in water resources engineering: A systematic literature review (Dec 2018–May 2023)
Abstract Applications of Machine Learning methods make a paradigm shift in the domain of
water resources engineering. This study not only presents the story of emerging eXtreme …
water resources engineering. This study not only presents the story of emerging eXtreme …
A review on snowmelt models: progress and prospect
G Zhou, M Cui, J Wan, S Zhang - Sustainability, 2021 - mdpi.com
The frequency and intensity of flood events have been increasing recently under the
warming climate, with snowmelt floods being a significant part. As an effective manner of …
warming climate, with snowmelt floods being a significant part. As an effective manner of …
Impact of climate change on river water temperature and dissolved oxygen: Indian riverine thermal regimes
The impact of climate change on the oxygen saturation content of the world's surface waters
is a significant topic for future water quality in a warming environment. While increasing river …
is a significant topic for future water quality in a warming environment. While increasing river …
Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer
Reference evapotranspiration (ET o) is one of the most important and influential components
in optimizing agricultural water consumption and water resources management. In the …
in optimizing agricultural water consumption and water resources management. In the …
Application of a modern multi-level ensemble approach for the estimation of critical shear stress in cohesive sediment mixture
Exploration of incipient motion study is significantly important for the river hydraulics
community. The present study, along with experimental investigation, considered a new …
community. The present study, along with experimental investigation, considered a new …
Application of machine learning and process-based models for rainfall-runoff simulation in Dupage River basin, Illinois
Rainfall-runoff simulation is vital for planning and controlling flood control events. Hydrology
modeling using Hydrological Engineering Center—Hydrologic Modeling System (HEC …
modeling using Hydrological Engineering Center—Hydrologic Modeling System (HEC …
Air quality monitoring based on chemical and meteorological drivers: Application of a novel data filtering-based hybridized deep learning model
Particulate matter (PM) or particle pollution include the tiny particles of dust and fly ash
particles are expelled from coal-burning power plants. Coal combustion is an extremely …
particles are expelled from coal-burning power plants. Coal combustion is an extremely …
Can machine learning accelerate process understanding and decision‐relevant predictions of river water quality?
The global decline of water quality in rivers and streams has resulted in a pressing need to
design new watershed management strategies. Water quality can be affected by multiple …
design new watershed management strategies. Water quality can be affected by multiple …
A random forest approach to improve estimates of tributary nutrient loading
PDF Isles - Water Research, 2024 - Elsevier
Estimating constituent loads from discrete water quality samples coupled with stream
discharge measurements is critical for management of freshwater resources. Nutrient loads …
discharge measurements is critical for management of freshwater resources. Nutrient loads …
Data driven insights for parabolic trough solar collectors: Artificial intelligence-based energy and exergy performance analysis
H Tao, OA Alawi, RZ Homod, MKA Mohammed… - Journal of Cleaner …, 2024 - Elsevier
Artificial intelligence (AI) algorithms can potentially contribute to optimizing energy and
exergy outputs in renewable resources to increase efficiencies and reduce environmental …
exergy outputs in renewable resources to increase efficiencies and reduce environmental …