Work

Resilience Assessment of Irrigation District Infrastructure: Indicators, Modeling, and Empirical Application

Year: 2025

Type: article

Abstract: In the context of intensifying climate and environmental changes, the high resilience of irrigation district infrastructure is of crucial importance for sustainable agriculture and water security. This paper proposes a resilience assessment indicator system for irrigation district infrastructure, comprising 23 indicators from the four dimensions of foresight capacity, absorption capacity, restoration capacity, and adaptive and learning capacity. This system is constructed by combining the research status quo at home and abroad with the change process of the resilience function. The model was constructed using the DEMATEL-ANP-Cloud method, and the Zhaokou Irrigation District in China was used as a case study to demonstrate the model’s application. The resilience analysis was conducted, and targeted strategies for enhancing resilience were proposed. The resilience assessment model constructed in this study provides a scientific basis for the resilience assessment of irrigation district infrastructure and a reference point for similar projects in terms of risk reduction and system resilience improvement. This is of great significance for guaranteeing sustainable agriculture and water security.

Source: Water

DOI: 10.3390/w17081214

Authors: Shuqing Wei, Laizheng Zhai, Chunlu Liu, Keke Wang, Junjie Li

Institutions: Deakin University, Zhengzhou University

Language: English

Topic: Infrastructure Resilience and Vulnerability Analysis

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Clean water and sanitation, Zero hunger, Climate action

Open Access status: gold

Estimated APC paid: $3,137