Assessment of the Water Productivity of Winter Wheat at Multiple Scales in Well Canal Irrigation Areas of the North China Plain

ABSTRACT Water productivity (WP) reflects crop yield per unit of water input, but its assessment varies with scale due to differing water inputs and reuse patterns. This study investigates the scale dependency of the WP in the Shijin Irrigation District, the largest well–canal irrigation area in the North China Plain, by defining five scales: crop, field, subbranch canal, main canal and irrigation district. Using the HYDRUS‐1D and MODFLOW models, which were employed to simulate water movement in both the unsaturated and saturated zones, considering factors such as soil moisture, groundwater levels and water losses, water budgets were calculated at each scale, and three WP indicators—net inflow WP, irrigation–precipitation WP and net irrigation–precipitation WP—were evaluated. The results show that nearly 93% of outflows are reused or retained at larger scales, increasing the net inflow WP by 25%. However, expanded water loss pathways at larger scales increase irrigation demands, causing the irrigation–precipitation WP to decrease from 1.42 kg m −3 at the crop scale to 1.19 kg m −3 at the irrigation district scale. The net irrigation–precipitation WP improves by 29%–54% across scales because of reduced return flows. Despite increased canal losses, net irrigation WP remains unchanged across scales, as these losses are fully deducted as return flows. These findings highlight the significant impact of scale on WP assessment and the importance of considering water reuse and loss pathways in irrigation planning.

Authors

Institutions

Publication Details

Journal
Irrigation and Drainage
Published
2025-04-23
DOI
https://doi.org/10.1002/ird.3111
Primary Topic
Rice Cultivation and Yield Improvement
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Assessment of the Water Productivity of Winter Wheat at Multiple Scales in Well Canal Irrigation Areas of the North China Plain

Wei Liang, Aixi Gong, Wenzhi Zeng, Haorui Chen et al.
Irrigation and Drainage
Rice Cultivation and Yield Improvement
article

Assessment of the Water Productivity of Winter Wheat at Multiple Scales in Well Canal Irrigation Areas of the North China Plain

Wei Liang, Aixi Gong, Wenzhi Zeng, Haorui Chen, Huailiang Wang, Ziang Xie, Yi Liu, Zhijun Jia, Xiaoyan Guan
article en

Abstract

ABSTRACT Water productivity (WP) reflects crop yield per unit of water input, but its assessment varies with scale due to differing water inputs and reuse patterns. This study investigates the scale dependency of the WP in the Shijin Irrigation District, the largest well–canal irrigation area in the North China Plain, by defining five scales: crop, field, subbranch canal, main canal and irrigation district. Using the HYDRUS‐1D and MODFLOW models, which were employed to simulate water movement in both the unsaturated and saturated zones, considering factors such as soil moisture, groundwater levels and water losses, water budgets were calculated at each scale, and three WP indicators—net inflow WP, irrigation–precipitation WP and net irrigation–precipitation WP—were evaluated. The results show that nearly 93% of outflows are reused or retained at larger scales, increasing the net inflow WP by 25%. However, expanded water loss pathways at larger scales increase irrigation demands, causing the irrigation–precipitation WP to decrease from 1.42 kg m −3 at the crop scale to 1.19 kg m −3 at the irrigation district scale. The net irrigation–precipitation WP improves by 29%–54% across scales because of reduced return flows. Despite increased canal losses, net irrigation WP remains unchanged across scales, as these losses are fully deducted as return flows. These findings highlight the significant impact of scale on WP assessment and the importance of considering water reuse and loss pathways in irrigation planning.

Irrigation and DrainageVol. 74(4)
Hohai University (CN), China Institute of Water Resources and Hydropower Research (CN), Ministry of Water Resources of the People's Republic of China (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 94%
Rice Cultivation and Yield Improvement
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.