Hydroeconomic optimization for canal-well conjunctive irrigation and drainage management in an arid region with salinization

Formulating sustainable canal-well conjunctive irrigation and drainage strategies remains a critical challenge for arid irrigated agriculture confronting with water scarcity and salinization, primarily due to the multifaceted impacts of such strategies on water-land allocation, water-salt dynamics, agricultural profitability and food security. This study developed an integrated hydroeconomic optimization framework for canal-well conjunctive irrigation and drainage management by integrating agro-hydrological processes (inter-annual root-zone/groundwater water-salt dynamics, salinity-stressed crop yield assessment, canal-well conjunctive irrigation module) into an economic optimization framework. Positive Mathematical Programming (PMP) was employed to calibrate the hydroeconomic framework to base-year observations, enabling it to capture farmers’ adaptive decisions under policy interventions. The framework was run continuously over a 15-year horizon under strategies defined by groundwater drainage capacity ( α ) and surface-to-groundwater irrigation area ratio (SGIAR) in the Hetao Irrigation District (HID). We assessed the impacts of these strategies on optimal cropping pattern and water allocation decisions, and the consequent feedback effects of these decisions on water-salt dynamics, agricultural profitability, and food security. Results show reducing SGIAR by 70% expands grain areas, enhances food security, reduces root-zone/groundwater salinity by 9.2%/8.0%, and saves 9.7% total conjunctive water consumption. In contrast, increasing SGIAR undermines food security. Enhancing α to 0.21 annually mitigates salinization and boosts productivity and benefits. Notably, the “10% SGIAR reduction and α = 0.21” scenario emerges as a sustainable strategy which annually increases net benefits, alleviates salinization, conserves water, sustains food security, and ensures groundwater sustainability. This study offers a hydroeconomic framework and policy insights for advancing sustainable irrigated agriculture in the HID and analogous arid irrigated systems worldwide.

Authors

Institutions

Publication Details

Journal
Frontiers in Sustainable Food Systems
Published
2025-12-02
DOI
https://doi.org/10.3389/fsufs.2025.1721178
Primary Topic
Irrigation Practices and Water Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hydroeconomic optimization for canal-well conjunctive irrigation and drainage management in an arid region with salinization

Tingju Zhu, Baofu Li, Tao Pan, Yuanyuan Luo et al.
Frontiers in Sustainable Food Systems
Irrigation Practices and Water Management
article

Hydroeconomic optimization for canal-well conjunctive irrigation and drainage management in an arid region with salinization

Tingju Zhu, Baofu Li, Tao Pan, Yuanyuan Luo, Yanfeng Chen, Yuhan Yan, Zhaodan Cao
article en

Abstract

Formulating sustainable canal-well conjunctive irrigation and drainage strategies remains a critical challenge for arid irrigated agriculture confronting with water scarcity and salinization, primarily due to the multifaceted impacts of such strategies on water-land allocation, water-salt dynamics, agricultural profitability and food security. This study developed an integrated hydroeconomic optimization framework for canal-well conjunctive irrigation and drainage management by integrating agro-hydrological processes (inter-annual root-zone/groundwater water-salt dynamics, salinity-stressed crop yield assessment, canal-well conjunctive irrigation module) into an economic optimization framework. Positive Mathematical Programming (PMP) was employed to calibrate the hydroeconomic framework to base-year observations, enabling it to capture farmers’ adaptive decisions under policy interventions. The framework was run continuously over a 15-year horizon under strategies defined by groundwater drainage capacity ( α ) and surface-to-groundwater irrigation area ratio (SGIAR) in the Hetao Irrigation District (HID). We assessed the impacts of these strategies on optimal cropping pattern and water allocation decisions, and the consequent feedback effects of these decisions on water-salt dynamics, agricultural profitability, and food security. Results show reducing SGIAR by 70% expands grain areas, enhances food security, reduces root-zone/groundwater salinity by 9.2%/8.0%, and saves 9.7% total conjunctive water consumption. In contrast, increasing SGIAR undermines food security. Enhancing α to 0.21 annually mitigates salinization and boosts productivity and benefits. Notably, the “10% SGIAR reduction and α = 0.21” scenario emerges as a sustainable strategy which annually increases net benefits, alleviates salinization, conserves water, sustains food security, and ensures groundwater sustainability. This study offers a hydroeconomic framework and policy insights for advancing sustainable irrigated agriculture in the HID and analogous arid irrigated systems worldwide.

Frontiers in Sustainable Food SystemsVol. 9
University of Illinois Urbana-Champaign (US), Qufu Normal University (CN), Tsinghua–Berkeley Shenzhen Institute (CN), Zhejiang University-University of Edinburgh Institute (CN), GeoInformation (United Kingdom) (GB), Zhejiang University (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Ministry of Education of the People's Republic of China, Natural Science Foundation of Shandong Province, Humanities and Social Sciences Youth Foundation, Ministry of Education of the People's Republic of China
Openalex Percentile: Top 54%
Irrigation Practices and Water Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.