Optimal allocation of agricultural water resources in Yanghe watershed considering blue water to green water ratio.

blue water crop water production function green water optimization water footprint

Journal

Journal of the science of food and agriculture
ISSN: 1097-0010
Titre abrégé: J Sci Food Agric
Pays: England
ID NLM: 0376334

Informations de publication

Date de publication:
May 2023
Historique:
revised: 28 11 2022
received: 16 02 2022
accepted: 31 01 2023
medline: 6 4 2023
pubmed: 1 2 2023
entrez: 31 1 2023
Statut: ppublish

Résumé

Yanghe Watershed has low annual rainfall, uneven spatial and temporal distribution, extreme shortage of water resources in some areas. The contradiction between supply and demand of water for agricultural production is prominent and the expected production value cannot be achieved. Therefore, it is necessary to investigate the supply and demand of agricultural water resources and the impact of green water on agricultural crops in Yanghe Watershed. This article proposes a new crop economic model for increasing the green-water footprint to blue-water footprint ratio (GWF:BWF) in accordance with the regional characteristics, alleviating agricultural water shortage in irrigation areas, optimizing water resource allocation, and achieving sustainable agricultural development. The proposition is based on a study of five crops in eight districts and counties in the Yanghe River watershed. By combining the economic model F with a crop water production function, we achieved 89.3%, 88.9%, 97.1%, 81.5%, and 87.0% of the optimal water demands of the five crops, respectively, and effectively improved the underground irrigation of crops and the water resource utilization efficiency. The GWF:BWF threshold interval was subsequently selected based on the temporal changes in the BWF and GWF in the study area. This enabled significant reduction of the planting area of blue-water crops and increase in the proportion of green-water crops, while also improving the agricultural economy of the Yanghe Watershed. The proposed model promises to afford enhanced management of agricultural irrigation areas that experience rainfall shortage. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Sections du résumé

BACKGROUND BACKGROUND
Yanghe Watershed has low annual rainfall, uneven spatial and temporal distribution, extreme shortage of water resources in some areas. The contradiction between supply and demand of water for agricultural production is prominent and the expected production value cannot be achieved. Therefore, it is necessary to investigate the supply and demand of agricultural water resources and the impact of green water on agricultural crops in Yanghe Watershed.
RESULTS RESULTS
This article proposes a new crop economic model for increasing the green-water footprint to blue-water footprint ratio (GWF:BWF) in accordance with the regional characteristics, alleviating agricultural water shortage in irrigation areas, optimizing water resource allocation, and achieving sustainable agricultural development. The proposition is based on a study of five crops in eight districts and counties in the Yanghe River watershed. By combining the economic model F with a crop water production function, we achieved 89.3%, 88.9%, 97.1%, 81.5%, and 87.0% of the optimal water demands of the five crops, respectively, and effectively improved the underground irrigation of crops and the water resource utilization efficiency.
CONCLUSION CONCLUSIONS
The GWF:BWF threshold interval was subsequently selected based on the temporal changes in the BWF and GWF in the study area. This enabled significant reduction of the planting area of blue-water crops and increase in the proportion of green-water crops, while also improving the agricultural economy of the Yanghe Watershed. The proposed model promises to afford enhanced management of agricultural irrigation areas that experience rainfall shortage. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Identifiants

pubmed: 36719269
doi: 10.1002/jsfa.12478
doi:

Substances chimiques

yanghe 0
Water 059QF0KO0R

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3558-3568

Subventions

Organisme : National Science and Technology Major Project of Water Pollution Control and Treatment
ID : 2017ZX07101003-008
Organisme : Research Foundation of China Three Gorges Corporation
ID : HB/ZB2021156

Informations de copyright

© 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

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Auteurs

Chuansong Weng (C)

College of Civil Architecture and Environment, Hubei University of Technology, Wuhan, China.

Yiheng Zeng (Y)

College of Civil Architecture and Environment, Hubei University of Technology, Wuhan, China.

Defu Liu (D)

College of Civil Architecture and Environment, Hubei University of Technology, Wuhan, China.

Jialei Zhang (J)

College of Civil Architecture and Environment, Hubei University of Technology, Wuhan, China.

Li He (L)

College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China.

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