An Agent-based Framework for Transition from Traditional to Advanced Water Supply Systems in Arid Regions

Khorshidi, MS; Izady, A; Nikoo, MR; Al-Maktoumi, A; Chen, M; Gandomi, AH

An Agent-based Framework for Transition from Traditional to Advanced Water Supply Systems in Arid Regions

Khorshidi, MS Izady, A Nikoo, MR Al-Maktoumi, A Chen, M Gandomi, AH

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Publisher:: SPRINGER
Publication Type:: Journal Article
Citation:: Water Resources Management, 2024, 38, (7), pp. 2565-2579
Issue Date:: 2024-05-01

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	09.2. Khorshidietal2024 (SI) (WARM) - ABM Ghanat.pdf	Supporting information	926.81 kB		View/Open
	09.1. Khorshidietal2024 (WARM) - ABM Ghanat.pdf	Published version	2.11 MB		View/Open

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Field	Value	Language
dc.contributor.author	Khorshidi, MS
dc.contributor.author	Izady, A
dc.contributor.author	Nikoo, MR
dc.contributor.author	Al-Maktoumi, A
dc.contributor.author	Chen, M
dc.contributor.author	Gandomi, AH
dc.date.accessioned	2024-11-20T13:34:27Z
dc.date.available	2024-11-20T13:34:27Z
dc.date.issued	2024-05-01
dc.identifier.citation	Water Resources Management, 2024, 38, (7), pp. 2565-2579
dc.identifier.issn	0920-4741
dc.identifier.issn	1573-1650
dc.identifier.uri	http://hdl.handle.net/10453/181994
dc.description.abstract	The poor performance of traditional surface irrigation systems has motivated a transition to more advanced and efficient irrigation systems, especially in arid areas. However, such a transition often results in some local conflicts between the decision-makers and farmers in fear of losing their original water rights. This study proposes an agent-based modeling (ABM) framework to evaluate the suitability of this transition for modernizing traditional surface irrigation systems. A Conditional Value-at-Risk (CVaR) optimization model was first developed to determine the optimal water allocation scheduling for the current surface irrigation system. An ABM was then developed to model and optimize the evolution of surface irrigation systems towards advanced irrigation systems considering the interactions among agents and their environment. The proposed ABM framework was applied for modernizing several agricultural zones with multi-crop and intercropping systems and a variable water supply source in Muscat, Oman. Results suggest that using the advanced irrigation system in dry, normal, and wet conditions decreases the percentage of water shortage in 5% of worst cases from 87%, 75%, and 32% (under the traditional irrigation system) to 30%, 9%, and 0%, respectively. It was also found that the overall irrigation efficiency of the study area is increased from 48 to 92% in all agricultural zones. Although the transition from surface to modern water allocation systems is time-consuming and expensive, the proposed framework can facilitate this transition and enhance the water resource planning and management in areas with limited water availability.
dc.language	English
dc.publisher	SPRINGER
dc.relation.ispartof	Water Resources Management
dc.relation.isbasedon	10.1007/s11269-024-03787-y
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Environmental Engineering
dc.subject.classification	4005 Civil engineering
dc.title	An Agent-based Framework for Transition from Traditional to Advanced Water Supply Systems in Arid Regions
dc.type	Journal Article
utslib.citation.volume	38
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/Data Science Institute (DSI)
pubs.organisational-group	University of Technology Sydney/Strength - DSI - Data Science Institute
utslib.copyright.status	closed_access	*
dc.date.updated	2024-11-20T13:34:25Z
pubs.issue	7
pubs.publication-status	Published
pubs.volume	38
utslib.citation.issue	7

Abstract:

The poor performance of traditional surface irrigation systems has motivated a transition to more advanced and efficient irrigation systems, especially in arid areas. However, such a transition often results in some local conflicts between the decision-makers and farmers in fear of losing their original water rights. This study proposes an agent-based modeling (ABM) framework to evaluate the suitability of this transition for modernizing traditional surface irrigation systems. A Conditional Value-at-Risk (CVaR) optimization model was first developed to determine the optimal water allocation scheduling for the current surface irrigation system. An ABM was then developed to model and optimize the evolution of surface irrigation systems towards advanced irrigation systems considering the interactions among agents and their environment. The proposed ABM framework was applied for modernizing several agricultural zones with multi-crop and intercropping systems and a variable water supply source in Muscat, Oman. Results suggest that using the advanced irrigation system in dry, normal, and wet conditions decreases the percentage of water shortage in 5% of worst cases from 87%, 75%, and 32% (under the traditional irrigation system) to 30%, 9%, and 0%, respectively. It was also found that the overall irrigation efficiency of the study area is increased from 48 to 92% in all agricultural zones. Although the transition from surface to modern water allocation systems is time-consuming and expensive, the proposed framework can facilitate this transition and enhance the water resource planning and management in areas with limited water availability.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/181994