AIMC Topic: Groundwater

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Unlocking groundwater desalination potential for agriculture with fertilizer drawn forward osmosis: prediction and performance optimization via RSM and ANN.

Environmental science and pollution research international Jun 21, 2024
The agricultural sector uses 70% of the world's freshwater. As clean water is extracted, groundwater quality decreases, making it difficult to grow crops. Brackish water desalination is a promising solution for agricultural areas, but the cost is a b...
Groundwater Fertilizers Water Purification Agriculture Salinity Osmosis Neural Networks, Computer
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Appraising water resources for irrigation and spatial analysis based on fuzzy logic model in the tribal-prone areas of Bangladesh.

Environmental monitoring and assessment Jun 21, 2024
The lack of quality water resources for irrigation is one of the main threats for sustainable farming. This pioneering study focused on finding the best area for farming by looking at irrigation water quality and analyzing its location using a fuzzy ...
Groundwater Environmental Monitoring Water Pollutants, Chemical Agricultural Irrigation Water Resources Fuzzy Logic Water Quality Spatial Analysis Bangladesh
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A machine learning framework for spatio-temporal vulnerability mapping of groundwaters to nitrate in a data scarce region in Lenjanat Plain, Iran.

Environmental science and pollution research international Jun 11, 2024
The temporal aspect of groundwater vulnerability to contaminants such as nitrate is often overlooked, assuming vulnerability has a static nature. This study bridges this gap by employing machine learning with Detecting Breakpoints and Estimating Segm...
Water Pollutants, Chemical Iran Environmental Monitoring Support Vector Machine Nitrates Machine Learning Groundwater
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: a novel hybrid quasi-fuzzy artificial neural network (ANN) model for estimation of reference evapotranspiration.

PeerJ May 31, 2024
Reference evapotranspiration ( ) is a significant parameter for efficient irrigation scheduling and groundwater conservation. Different machine learning models have been designed for estimation for specific combinations of available meteorological p...
Plant Transpiration Groundwater Fuzzy Logic Neural Networks, Computer India
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Groundwater suitability assessment for irrigation and drinking purposes by integrating spatial analysis, machine learning, water quality index, and health risk model.

Environmental science and pollution research international May 29, 2024
An in-depth understanding of nitrate-contaminated surface water and groundwater quality and associated risks is important for groundwater management. Hydrochemical characteristics and driving forces of groundwater quality and non-carcinogenic risks o...
Agricultural Irrigation Humans Water Pollutants, Chemical Nitrates Spatial Analysis Drinking Water Water Quality Groundwater Environmental Monitoring Machine Learning Risk Assessment
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Transferability of Machine Learning Models for Geogenic Contaminated Groundwaters.

Environmental science & technology May 8, 2024
Machine learning models show promise in identifying geogenic contaminated groundwaters. Modeling in regions with no or limited samples is challenging due to the need for large training sets. One potential solution is transferring existing models to s...
Groundwater Environmental Monitoring Water Pollutants, Chemical Machine Learning Models, Theoretical Neural Networks, Computer
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Bidirectional machine learning-assisted sensitivity-based stochastic searching approach for groundwater DNAPL source characterization.

Environmental science and pollution research international Apr 29, 2024
In this study, we designed a machine learning-based parallel global searching method using the Bayesian inversion framework for efficient identification of dense non-aqueous phase liquid (DNAPL) source characteristics and contaminant transport parame...
Groundwater Machine Learning Bayes Theorem Algorithms Models, Theoretical
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Groundwater salinization risk assessment using combined artificial intelligence models.

Environmental science and pollution research international Apr 28, 2024
Assessing the risk of groundwater contamination is of crucial importance for the management of water resources, particularly in arid regions such as Menzel Habib (south-eastern Tunisia). The aim of this research is to create and validate artificial i...
Neural Networks, Computer Salinity Artificial Intelligence Environmental Monitoring Support Vector Machine Risk Assessment Tunisia Groundwater
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Conceptualizing future groundwater models through a ternary framework of multisource data, human expertise, and machine intelligence.

Water research Apr 26, 2024
Groundwater models are essential for understanding aquifer systems behavior and effective water resources spatio-temporal distributions, yet they are often hindered by challenges related to model assumptions, parametrization, uncertainty, and computa...
Artificial Intelligence Models, Theoretical Groundwater Humans
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Quantifying the scale of erosion along major coastal aquifers of Pakistan using geospatial and machine learning approaches.

Environmental science and pollution research international Apr 25, 2024
Insufficient freshwater recharge and climate change resulted in seawater intrusion in most of the coastal aquifers in Pakistan. Coastal aquifers represent diverse landcover types with varying spectral properties, making it challenging to extract info...
Pakistan Climate Change Soil Erosion Groundwater Environmental Monitoring Machine Learning
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