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

Let's get flexible: Exploring adaptable consumption toward reducing household food waste in the Netherlands DOI Creative Commons
Hannah M. Goss, Jotte de Koning, Nynke Tromp

et al.

Sustainable Production and Consumption, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

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