期刊
WATER RESOURCES RESEARCH
卷 57, 期 7, 页码 -出版社
AMER GEOPHYSICAL UNION
DOI: 10.1029/2020WR029263
关键词
agricultural water demand; agro-hydrological models; catchment scale; irrigation optimization
The study emphasizes the importance of quantifying irrigation water demand for sustainable agriculture. It discusses the use of agricultural models for simulation and calculation, highlighting the adjustability of models to reflect field management practices accurately. The review also touches on the significance of considering horizontal hydrological connectivity in irrigation scheduling and water extraction.
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.
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