AIMC Topic: Groundwater

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Modelling and mapping of subsurface nitrate-attenuation index in agricultural landscapes.

Journal of environmental management May 5, 2025
Environmental management of nutrient losses from agricultural lands is required to reduce their potential impacts on the quality of groundwater and eutrophication of surface waters in agricultural landscapes. However, accurate accounting and manageme...
Agriculture New Zealand Nitrogen Nitrates Groundwater Environmental Monitoring
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Joint identification of hydraulic conductivity and groundwater pollution sources using unscented Kalman smoother with multiple data assimilation and deep learning.

Ecotoxicology and environmental safety Apr 5, 2025
Identification of groundwater pollution sources (IGPSs) is a prerequisite for pollution remediation and pollution risk prediction. Data assimilation approaches have been used extensively in IGPSs field in recent years. A data assimilation approach-un...
Water Pollutants, Chemical Water Pollution Neural Networks, Computer Groundwater Deep Learning Environmental Monitoring
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Machine Learning-Enhanced Prediction for Soil-to-Air VOC Emission and Environmental Impact Pertaining Contaminated Fractured Aquifers.

Environmental science & technology Apr 1, 2025
How to scientifically and efficiently quantify the impact and hazards of volatile organic compounds (VOCs) pollution and volatilization from complex groundwater systems on surface air environments is a critical environmental issue. This paper employe...
Volatile Organic Compounds Groundwater Environmental Monitoring Machine Learning Soil
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A hybrid vine copula-fuzzy model for groundwater level simulation under uncertainty.

Environmental monitoring and assessment Mar 17, 2025
Accurate simulation of groundwater level is crucial for the sustainable management of water resources. However, the numerous uncertainties in input data, simulation model parameters, and physical processes, as well as the dependency between system va...
Uncertainty Models, Theoretical Environmental Monitoring Fuzzy Logic Groundwater
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Integrated machine learning based groundwater quality prediction through groundwater quality index for drinking purposes in a semi-arid river basin of south India.

Environmental geochemistry and health Mar 14, 2025
The main objective of this study is to predict and monitor groundwater quality through the use of modern Machine Learning (ML) techniques. By employing ML techniques, the research effectively evaluates groundwater quality to forecast its future trend...
Drinking Water Environmental Monitoring Water Pollutants, Chemical Water Quality Rivers India Groundwater Machine Learning
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Tracking the spatiotemporal evolution of groundwater chemistry in the Quaternary aquifer system of Debrecen area, Hungary: integration of classical and unsupervised learning methods.

Environmental science and pollution research international Mar 1, 2025
Monitoring changes in groundwater quality over time helps identify time-dependent factors influencing water safety and supports the development of effective management strategies. This study investigates the spatiotemporal evolution of groundwater ch...
Environmental Monitoring Water Pollutants, Chemical Groundwater Principal Component Analysis Hungary Water Quality Cluster Analysis Unsupervised Machine Learning
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Deep learning-based surrogates for multi-objective optimization of the groundwater abstraction schemes to manage seawater intrusion into coastal aquifers.

Journal of environmental management Feb 21, 2025
Efficient optimization of pumping systems is crucial for managing salinity intrusion and ensuring groundwater sustainability in coastal aquifers. Surrogate models (SMs) are widely used in aquifer management as efficient alternatives to complex ground...
Neural Networks, Computer Salinity Algorithms Groundwater Deep Learning Seawater
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The reanalysis of a new strategy for groundwater level prediction using combined simulation of machine learning and Muskingum methods under ecological water replenishment.

Environmental research Feb 20, 2025
Due to its multi-functionality, ecological water replenishment (EWR) has been an important measure for restoring aquifers. However, suitable prediction methods need to be selected for the unique fluctuation exhibited by groundwater level (GWL) in the...
Computer Simulation Models, Theoretical Water Supply Machine Learning Groundwater Environmental Monitoring
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An investigation of microbial groundwater contamination seasonality and extreme weather event interruptions using "big data", time-series analyses, and unsupervised machine learning.

Environmental pollution (Barking, Essex : 1987) Feb 6, 2025
Temporal studies of groundwater potability have historically focused on E. coli detection rates, with non-E. coli coliforms (NEC) and microbial concentrations remaining understudied by comparison. Additionally, "big data" (i.e., large, diverse datase...
Big Data Groundwater Extreme Weather Environmental Monitoring Seasons Escherichia coli Water Microbiology Unsupervised Machine Learning
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High-resolution groundwater storage anomalies in the Middle and Lower Yangtze River Basin of China using machine learning fusion of in-situ wells, satellite gravity and hydrological model.

Journal of environmental management Jan 29, 2025
Groundwater plays a key role in the water cycle and is used to meet industrial, agricultural, and domestic water demands. High-resolution modeling of groundwater storage is often challenging due to the limitations of observation techniques and mathem...
Groundwater Algorithms Environmental Monitoring Rivers Hydrology China Gravitation Neural Networks, Computer Machine Learning
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