Exploring Simulation–Optimization for Sustainable Groundwater Management: A Critical Review DOI
Shreyansh Mishra,

Shishir Gaur,

Mariem Kacem

et al.

CLEAN - Soil Air Water, Journal Year: 2024, Volume and Issue: 53(1)

Published: Dec. 10, 2024

ABSTRACT Simulation–optimization (S–O) is a well‐regarded method for solving groundwater (GW) management problems. Although S–O has significantly improved the decision support system GW management, it still lacks practical applicability. As result, many researchers have been improving its components, leading to slightly or better performance. To understand these challenges efficiently, this article delves into principal components of that offer in‐depth critical insights GW's sustainability. The discussed segments are divided simulation models, optimization methods, categories and conceptualization problems, formulation real‐world objective functions. This review also examines surrogate‐assisted models reduce computational challenges. Methods address model uncertainty decision‐making in applying sustained yield problems addressed. outlays steps methodology recommends potential research directions aid further enhancing practicality S–O.

Language: Английский

Geo-Spatial Insights into Heavy Metal Contamination and Ecological Implications in River Sediments: Identifying Agrochemical Impacts Through Pollution Indices in Morocco’s Sidi Allal Tazi Region, Sebou Basin DOI
Hatim Sanad, Rachid Moussadek,

Latifa Mouhir

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 18, 2025

Abstract Sediments in agricultural ecosystems serve as critical indicators of environmental pollution, particularly regions subjected to intensive practices. This research evaluates the hazards and implications heavy metal (HM) contamination river sediments from Sidi Allal Tazi area within Morocco’s Sebou basin. Twenty sediment samples were extracted strategically designated locations, levels analyzed using a multi-index integration approach, multi-statistical analyses (MSA), Geographic Information Systems (GIS). The results revealed considerable spatial variability HM concentrations, with Cd As displaying highest levels. Statistical analysis, incorporating Principal Component Analysis (PCA), identified anthropogenic activities primary contributors contamination. Hierarchical Cluster (HCA) categorized metals based on common pollution pathways, while GIS mapping distribution across vulnerable areas. Pollution like Geo-accumulation Index (Igeo) well Load (PLI). that 75% sites under “very high pollution”, emphasizing severity Contamination Factor (CF) classified 90% 100% contamination”. Risk indices indicated significant ecological threats, contributing an RI exceeding 600 many areas, signifying risk”. These findings highlight urgent need for targeted mitigation strategies sustainable methodologies provides comprehensive framework assessing managing contamination, offering insights policymakers managers.

Language: Английский

Citations

0

Sustainable groundwater regulation in typical irrigation areas of inland river basins based on ecological indicators and the MIKE-SHE hydrological model DOI Creative Commons
Chenyu Guo, Tie Liu, Yue Huang

et al.

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 56, P. 102000 - 102000

Published: Oct. 10, 2024

Language: Английский

Citations

1

AquaCrop model-based sensitivity analysis of soil salinity dynamics and productivity under climate change in sandy-layered farmland DOI Creative Commons
Zhuangzhuang Feng, Qingfeng Miao, Haibin Shi

et al.

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 307, P. 109244 - 109244

Published: Dec. 25, 2024

Language: Английский

Citations

0

Enhanced Freeze‐Thaw Cycle Altered the Simulations of Groundwater Dynamics in a Heavily Irrigated Basin in the Temperate Region of China DOI Creative Commons
Baogui Li, Lili Tan, Xueliang Zhang

et al.

Water Resources Research, Journal Year: 2024, Volume and Issue: 60(9)

Published: Aug. 31, 2024

Abstract With intensified global warming, accurate quantification of hydrological processes in seasonally frozen regions, particularly with irrigated overwinter crops, is necessary to develop management strategies that promote groundwater conservation. By incorporating a physically based freeze‐thaw cycle module into the Soil and Water Assessment Tool (SWAT‐FT) model, variations surface hydrology dynamics were systematically assessed North China Plain under three Shared Socioeconomic Pathways during 2041–2070 2071–2100 periods between conventional improved SWAT models. Compared SWAT‐FT model predicted an increase soil water content, decrease irrigation, percolation growing season winter wheat. These discrepancies resulted 5% higher decline rates shallow levels simulated by compared SWAT‐FT. Additionally, projected average approximately 0.90 ± 0.16 m yr −1 (SSP1‐2.6), 0.60 0.46 (SSP2‐4.5), −0.17 0.53 (SSP5‐8.5), respectively, historical period. The simulations indicated either slowly or potentially end 21st century SSP5‐8.5 scenario, achieving equilibrium extraction replenishment. Our study emphasized importance considering evaluate more accurately response climate change effects temperate regions crop.

Language: Английский

Citations

0

Exploring Simulation–Optimization for Sustainable Groundwater Management: A Critical Review DOI
Shreyansh Mishra,

Shishir Gaur,

Mariem Kacem

et al.

CLEAN - Soil Air Water, Journal Year: 2024, Volume and Issue: 53(1)

Published: Dec. 10, 2024

ABSTRACT Simulation–optimization (S–O) is a well‐regarded method for solving groundwater (GW) management problems. Although S–O has significantly improved the decision support system GW management, it still lacks practical applicability. As result, many researchers have been improving its components, leading to slightly or better performance. To understand these challenges efficiently, this article delves into principal components of that offer in‐depth critical insights GW's sustainability. The discussed segments are divided simulation models, optimization methods, categories and conceptualization problems, formulation real‐world objective functions. This review also examines surrogate‐assisted models reduce computational challenges. Methods address model uncertainty decision‐making in applying sustained yield problems addressed. outlays steps methodology recommends potential research directions aid further enhancing practicality S–O.

Language: Английский

Citations

0