Pollution prediction for heavy metals in soil-groundwater systems at smelting sites

Chemical Engineering Journal, Journal Year: 2023, Volume and Issue: 473, P. 145499 - 145499

Published: Aug. 16, 2023

Language: Английский

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A Comprehensive Review of Conventional, Machine Leaning, and Deep Learning Models for Groundwater Level (GWL) Forecasting

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(4), P. 2743 - 2743

Published: Feb. 20, 2023

Groundwater level (GWL) refers to the depth of water table or below Earth’s surface in underground formations. It is an important factor managing and sustaining groundwater resources that are used for drinking water, irrigation, other purposes. prediction a critical aspect resource management requires accurate efficient modelling techniques. This study reviews most commonly conventional numerical, machine learning, deep learning models predicting GWL. Significant advancements have been made terms efficiency over last two decades. However, while researchers primarily focused on monthly, weekly, daily, hourly GWL, managers strategists require multi-year GWL simulations take effective steps towards ensuring sustainable supply groundwater. In this paper, we consider collection state-of-the-art theories develop design novel methodology improve field evaluation. We examined 109 research articles published from 2008 2022 investigated different Finally, concluded approaches Moreover, provide possible future directions recommendations enhance accuracy relevant understanding.

Language: Английский

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Advanced groundwater potential and contamination vulnerability assessment using integrated GIS-based AHP techniques: A case study from the Bizerte watershed, Tunisia.

Environmental and Sustainability Indicators, Journal Year: 2025, Volume and Issue: unknown, P. 100597 - 100597

Published: Jan. 1, 2025

Language: Английский

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Global perspectives on groundwater infiltration to sewer networks: A threat to urban sustainability

Water Research, Journal Year: 2024, Volume and Issue: 262, P. 122098 - 122098

Published: July 19, 2024

While existing studies on sewer networks have explored topics such as surface water inflow, limited research has delved into groundwater infiltration (GWI). This study aims to fill this void by providing a comprehensive overview of quantitative analyses GWI in plus current status, limitations and future perspectives, considering the most relevant peer-reviewed research, including 83 studies. We propose dividing two main groups: (1) phreatic zone, (2) vadose zone. Most focused latter, mainly Rainfall-Derived Inflow Infiltration (RDII), inflow GWI. The ratio each is not frequently separated; otherwise, there may be some assumptions, e.g. dry weather assuming zero inflow. also divided employed approaches different categories from physically-based numerical models, simpler ones, budget analysis. In fact, combination applied find intricate characteristics 'urban groundwater' or karst.' findings revealed heightened vulnerability GWI, due climate change (CC) its associated repercussions, sea level rise (SLR), making coastal cities vulnerable regions. criticality pre-emptive measures monitoring networks, especially near coastline, emphasised ensure resilience adaptability context amid potential impacts CC. However, practices lack widespread evidence for spatiotemporal analysis quantity.

Language: Английский

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Interaction regimes of surface water and groundwater in a hyper-arid endorheic watershed on Tibetan Plateau: Insights from multi-proxy data

Journal of Hydrology, Journal Year: 2024, Volume and Issue: unknown, P. 132020 - 132020

Published: Sept. 1, 2024

Language: Английский

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Remote sensing and hydrogeophysics give a new impetus to integrated hydrological models: A review

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 633, P. 130901 - 130901

Published: Feb. 15, 2024

Integrated Hydrological Models (IHMs) dynamically couple surface and groundwater processes across the unsaturated zone domain. IHMs are data intensive computationally demanding but can provide physically realistic output, particularly if sufficient input of high quality is available. In-situ observations often have a small footprint time cost-demanding. Satellite remote sensing observations, with their long series archives spatially semi-continuous gridded format, as well hydrogeophysical flexible, 'on-demand' high-resolution coverage, perfectly complement in-situ observations. We review contribution various satellite products for IHM: (1) climate forcings, (2) parameters, (3) boundary conditions (4) constraining model calibration assimilation. Our hydrogeophysics focuses on four mentioned IHM contributions, we analyze them per acquisition platform, i.e., surface, drone-borne airborne hydrogeophysics. Finally, includes discussion optimal use in IHMs, vision further improvements data-driven, integrated hydrological modelling.

Language: Английский

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Water availability and extreme events under climate change scenarios in an experimental watershed of the Brazilian Atlantic Forest

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 946, P. 174417 - 174417

Published: July 2, 2024

Language: Английский

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Methods for Quantifying Interactions Between Groundwater and Surface Water

Annual Review of Environment and Resources, Journal Year: 2024, Volume and Issue: 49(1), P. 623 - 653

Published: July 18, 2024

Driven by the need for integrated management of groundwater (GW) and surface water (SW), quantification GW–SW interactions associated contaminant transport has become increasingly important. This is due to their substantial impact on quantity quality. In this review, we provide an overview methods developed over past several decades investigate interactions. These include geophysical, hydrometric, tracer techniques, as well various modeling approaches. Different reveal valuable information at different scales with respective advantages limitations. Interpreting data from these techniques can be challenging factors like scale effects, heterogeneous hydrogeological conditions, sediment variability, complex spatiotemporal connections between GW SW. To facilitate selection appropriate specific sites, discuss strengths, weaknesses, challenges each technique, offer perspectives knowledge gaps in current science.

Language: Английский

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Prediction of sulfate concentrations in groundwater in areas with complex hydrogeological conditions based on machine learning

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 923, P. 171312 - 171312

Published: Feb. 28, 2024

Language: Английский

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Exploring groundwater quality in semi-arid areas of Algeria: Impacts on potable water supply and agricultural sustainability

Journal of Arid Land, Journal Year: 2024, Volume and Issue: 16(2), P. 147 - 167

Published: Feb. 1, 2024

Language: Английский

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