[HTML][HTML] Groundwater level prediction using machine learning models: A comprehensive review
H Tao, MM Hameed, HA Marhoon… - Neurocomputing, 2022 - Elsevier
Developing accurate soft computing methods for groundwater level (GWL) forecasting is
essential for enhancing the planning and management of water resources. Over the past two …
essential for enhancing the planning and management of water resources. Over the past two …
A review of the artificial intelligence methods in groundwater level modeling
This study is a review to the special issue on artificial intelligence (AI) methods for
groundwater level (GWL) modeling and forecasting, and presents a brief overview of the …
groundwater level (GWL) modeling and forecasting, and presents a brief overview of the …
A comprehensive review of conventional, machine leaning, and deep learning models for groundwater level (GWL) forecasting
Groundwater level (GWL) refers to the depth of the water table or the level of water below the
Earth's surface in underground formations. It is an important factor in managing and …
Earth's surface in underground formations. It is an important factor in managing and …
Prediction the groundwater level of bastam plain (Iran) by artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS)
S Emamgholizadeh, K Moslemi, G Karami - Water resources management, 2014 - Springer
Prediction of the groundwater level (GWL) fluctuations is very important in the water
resource management. This study investigates the potential of two intelligence models …
resource management. This study investigates the potential of two intelligence models …
A comparative study of artificial neural networks, support vector machines and adaptive neuro fuzzy inference system for forecasting groundwater levels near Lake …
Y Gong, Y Zhang, S Lan, H Wang - Water resources management, 2016 - Springer
Accurate and reliable prediction of groundwater level is essential for water resource
development and management. This study was carried out to test the validity of three …
development and management. This study was carried out to test the validity of three …
A novel hybrid algorithms for groundwater level prediction
Estimating groundwater levels (GWL) with accuracy and reliability, in order to maximize the
use of water resources, it is crucial to reduce water consumption. To predict GWL in the …
use of water resources, it is crucial to reduce water consumption. To predict GWL in the …
Daily forecasting of dam water levels: comparing a support vector machine (SVM) model with adaptive neuro fuzzy inference system (ANFIS)
A Hipni, A El-shafie, A Najah, OA Karim… - Water resources …, 2013 - Springer
Reservoir planning and management are critical to the development of the hydrological field
and necessary to Integrated Water Resources Management. The growth of forecasting …
and necessary to Integrated Water Resources Management. The growth of forecasting …
Efficacy of machine learning techniques in predicting groundwater fluctuations in agro-ecological zones of India
In the 21st century, groundwater depletion is posing a serious threat to humanity throughout
the world, particularly in developing nations. India being the largest consumer of …
the world, particularly in developing nations. India being the largest consumer of …
Prediction of water quality from simple field parameters
Water quality parameters like temperature, pH, total dissolved solids (TDS), total suspended
solids (TSS), dissolved oxygen (DO), oil and grease, etc., are calculated from the field while …
solids (TSS), dissolved oxygen (DO), oil and grease, etc., are calculated from the field while …
Predicting groundwater level fluctuations under climate change scenarios for Tasuj plain, Iran
Coastal aquifers world-wide are being confronted with several major challenges, such as
overextraction of groundwater, climate change impacts, contamination by wastewater, and …
overextraction of groundwater, climate change impacts, contamination by wastewater, and …