Details
| Original language | English |
|---|---|
| Article number | e2020WR029263 |
| Journal | Water resources research |
| Volume | 57 |
| Issue number | 7 |
| Early online date | 20 May 2021 |
| Publication status | Published - Jul 2021 |
Abstract
The world's water resources are continuously facing challenges in fulfilling the needs of increasing agricultural water demand with finite or diminishing resources. Therefore, it is important to quantify the amount of irrigation water required to attain sustainable yield at a local, regional, and global level, especially in arid and semi-arid regions. This is mostly quantified by using agro-hydrological or agricultural models. The advances in simulation models and several options incorporated in them allow catchment/site-specific application of irrigation water to depict the field management practices undertaken by farmers. The objective of the present study is to provide a review of the simulation of irrigation water demand at catchment scale by agro-hydrological and agricultural models. This study discusses the different types of models, their dimensions, and the hydrological and agricultural process models incorporated into them. Additionally, this review provides an overview of how irrigation can be scheduled, how water is applied, and from which sources irrigation water can be extracted by the considered models, taking horizontal hydrological connectivity into consideration. Adding to the model review, seven different fields of innovative case studies are covered. Many agricultural models have been applied in a regional context without simulating horizontal hydrological fluxes, but only a few hydrological catchment models provide full support of both irrigation and plant growth simulation, which are important for the simulation of future crop yield under different climatic and agricultural management scenarios.
Keywords
- agricultural water demand, agro-hydrological models, catchment scale, irrigation optimization
ASJC Scopus subject areas
- Environmental Science(all)
- Water Science and Technology
Sustainable Development Goals
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Water resources research, Vol. 57, No. 7, e2020WR029263, 07.2021.
Research output: Contribution to journal › Review article › Research › peer review
}
TY - JOUR
T1 - Simulation of Irrigation Demand and Control in Catchments
T2 - A Review of Methods and Case Studies
AU - Uniyal, Bhumika
AU - Dietrich, Jörg
N1 - Funding Information: Our sincere thanks are also due to the two anonymous reviewers and the editor who meticulously reviewed the original manuscript and provided constructive comments, which helped the authors to bring it to the present shape.
PY - 2021/7
Y1 - 2021/7
N2 - The world's water resources are continuously facing challenges in fulfilling the needs of increasing agricultural water demand with finite or diminishing resources. Therefore, it is important to quantify the amount of irrigation water required to attain sustainable yield at a local, regional, and global level, especially in arid and semi-arid regions. This is mostly quantified by using agro-hydrological or agricultural models. The advances in simulation models and several options incorporated in them allow catchment/site-specific application of irrigation water to depict the field management practices undertaken by farmers. The objective of the present study is to provide a review of the simulation of irrigation water demand at catchment scale by agro-hydrological and agricultural models. This study discusses the different types of models, their dimensions, and the hydrological and agricultural process models incorporated into them. Additionally, this review provides an overview of how irrigation can be scheduled, how water is applied, and from which sources irrigation water can be extracted by the considered models, taking horizontal hydrological connectivity into consideration. Adding to the model review, seven different fields of innovative case studies are covered. Many agricultural models have been applied in a regional context without simulating horizontal hydrological fluxes, but only a few hydrological catchment models provide full support of both irrigation and plant growth simulation, which are important for the simulation of future crop yield under different climatic and agricultural management scenarios.
AB - The world's water resources are continuously facing challenges in fulfilling the needs of increasing agricultural water demand with finite or diminishing resources. Therefore, it is important to quantify the amount of irrigation water required to attain sustainable yield at a local, regional, and global level, especially in arid and semi-arid regions. This is mostly quantified by using agro-hydrological or agricultural models. The advances in simulation models and several options incorporated in them allow catchment/site-specific application of irrigation water to depict the field management practices undertaken by farmers. The objective of the present study is to provide a review of the simulation of irrigation water demand at catchment scale by agro-hydrological and agricultural models. This study discusses the different types of models, their dimensions, and the hydrological and agricultural process models incorporated into them. Additionally, this review provides an overview of how irrigation can be scheduled, how water is applied, and from which sources irrigation water can be extracted by the considered models, taking horizontal hydrological connectivity into consideration. Adding to the model review, seven different fields of innovative case studies are covered. Many agricultural models have been applied in a regional context without simulating horizontal hydrological fluxes, but only a few hydrological catchment models provide full support of both irrigation and plant growth simulation, which are important for the simulation of future crop yield under different climatic and agricultural management scenarios.
KW - agricultural water demand
KW - agro-hydrological models
KW - catchment scale
KW - irrigation optimization
UR - http://www.scopus.com/inward/record.url?scp=85111414537&partnerID=8YFLogxK
U2 - 10.1029/2020WR029263
DO - 10.1029/2020WR029263
M3 - Review article
AN - SCOPUS:85111414537
VL - 57
JO - Water resources research
JF - Water resources research
SN - 0043-1397
IS - 7
M1 - e2020WR029263
ER -