Application of artificial intelligence-based single and hybrid models in predicting seepage and pore water pressure of dams: A state-of-the-art review
B Beiranvand, T Rajaee - Advances in Engineering Software, 2022 - Elsevier
Failure of earth dams is one of the major challenges of civil engineering, one of the main
causes of which is uncontrolled seepage from the core and foundation of the dam. The use …
causes of which is uncontrolled seepage from the core and foundation of the dam. The use …
Geospatial artificial intelligence (GeoAI) in the integrated hydrological and fluvial systems modeling: Review of current applications and trends
This paper reviews the current GeoAI and machine learning applications in hydrological and
hydraulic modeling, hydrological optimization problems, water quality modeling, and fluvial …
hydraulic modeling, hydrological optimization problems, water quality modeling, and fluvial …
A multi-model data fusion methodology for reservoir water quality based on machine learning algorithms and bayesian maximum entropy
A major concern in the management of reservoirs is water quality because of the negative
consequences it has on both environment and human life. Artificial Intelligence (AI) concept …
consequences it has on both environment and human life. Artificial Intelligence (AI) concept …
An improved adaptive neuro fuzzy inference system model using conjoined metaheuristic algorithms for electrical conductivity prediction
I Ahmadianfar, S Shirvani-Hosseini, J He… - Scientific Reports, 2022 - nature.com
Precise prediction of water quality parameters plays a significant role in making an early
alert of water pollution and making better decisions for the management of water resources …
alert of water pollution and making better decisions for the management of water resources …
Deep learning for prediction of water quality index classification: tropical catchment environmental assessment
River water quality modeling using crucial artificial intelligent (AI) models has become an
essential tool for river assessment and management. The simplified approach of river health …
essential tool for river assessment and management. The simplified approach of river health …
Combining data-intelligent algorithms for the assessment and predictive modeling of groundwater resources quality in parts of southeastern Nigeria
JC Egbueri, JC Agbasi - Environmental Science and Pollution Research, 2022 - Springer
Abstract Machine learning algorithms have proven useful in the estimation, classification,
and prediction of water quality parameters. Similarly, indexical modeling has enhanced the …
and prediction of water quality parameters. Similarly, indexical modeling has enhanced the …
Reliability evaluation of groundwater quality index using data-driven models
A trustworthy evaluation of the groundwater quality situations for different usages (ie,
drinking, industry, and agriculture) can definitely improve the management of groundwater …
drinking, industry, and agriculture) can definitely improve the management of groundwater …
Application of Machine Learning for eutrophication analysis and algal bloom prediction in an urban river: A 10-year study of the Han River, South Korea
The increasing release of nutrients to aquatic environments has led to great concern
regarding eutrophication and the risk of unwanted algal blooms. Based on observational …
regarding eutrophication and the risk of unwanted algal blooms. Based on observational …
A review of hybrid soft computing and data pre-processing techniques to forecast freshwater quality's parameters: Current trends and future directions
ZS Khudhair, SL Zubaidi, S Ortega-Martorell… - Environments, 2022 - mdpi.com
Water quality has a significant influence on human health. As a result, water quality
parameter modelling is one of the most challenging problems in the water sector. Therefore …
parameter modelling is one of the most challenging problems in the water sector. Therefore …
Combining discrete wavelet decomposition with soft computing techniques to predict monthly evapotranspiration in semi-arid Hakkâri province, Türkiye
OM Katipoğlu - Environmental Science and Pollution Research, 2023 - Springer
Accurate prediction of evapotranspiration values is important in planning agricultural
irrigation, crop growth research, and hydrological modeling. This study is aimed at …
irrigation, crop growth research, and hydrological modeling. This study is aimed at …