干旱区生态环境知识资源中心(Arid): Determining Economical Irrigation Depths in a Sandy Field Using a Combination of Weather Forecast and Numerical Simulation

Arid

DOI	10.3390/w13233403
	Determining Economical Irrigation Depths in a Sandy Field Using a Combination of Weather Forecast and Numerical Simulation
	Abd El Baki, Hassan M.; Fujimaki, Haruyuki
通讯作者	Fujimaki, H (corresponding author), Tottori Univ, Arid Land Res Ctr, 1390 Hamasaka, Tottori, Tottori 6800001, Japan.
来源期刊	WATER
EISSN	2073-4441
出版年	2021
卷号	13 期号:23
英文摘要	Advancement of modern technologies has given numerical simulations a crucial role to effectively manage irrigation. A new numerical scheme to determine irrigation depths was incorporated into WASH 2D, which is a numerical simulation model of crop response to irrigation. Based on two predicted points of cumulative transpiration-water price and quantitative weather forecast-the scheme can optimize an irrigation depth in which net income is maximized. A field experiment was carried out at the Arid Land Research Center, Tottori, Japan, in 2019, to evaluate the effectiveness of the scheme on net income and crop production compared to a tensiometer-based automated irrigation system. Sweetcorn (Zea mays L., Amaenbou 86) was grown in three water balance lysimeters per each treatment, filled with sandy soil. The scheme could achieve a 4% higher net income, due to a 7% increase in green fodder yield, and an 11% reduction in irrigation amount, compared with the automated irrigation method. These results indicate that the numerical scheme, in combination with quantitative weather forecasts, can be a useful tool to determine irrigation depths, maximize net incomes which are farmers' targets, and avoid large investments that are required for the automated irrigation system.
英文关键词	drought net income water flow automated irrigation transpiration
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000734661600001
WOS关键词	DEFICIT IRRIGATION ; REFERENCE EVAPOTRANSPIRATION ; SWEET CORN ; YIELD ; MODEL ; NITROGEN ; QUALITY ; OPTIMIZATION ; MANAGEMENT ; GROWTH
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/373943
作者单位	[Abd El Baki, Hassan M.; Fujimaki, Haruyuki] Tottori Univ, Arid Land Res Ctr, 1390 Hamasaka, Tottori, Tottori 6800001, Japan
推荐引用方式 GB/T 7714	Abd El Baki, Hassan M.,Fujimaki, Haruyuki. Determining Economical Irrigation Depths in a Sandy Field Using a Combination of Weather Forecast and Numerical Simulation[J],2021,13(23).
APA	Abd El Baki, Hassan M.,&Fujimaki, Haruyuki.(2021).Determining Economical Irrigation Depths in a Sandy Field Using a Combination of Weather Forecast and Numerical Simulation.WATER,13(23).
MLA	Abd El Baki, Hassan M.,et al."Determining Economical Irrigation Depths in a Sandy Field Using a Combination of Weather Forecast and Numerical Simulation".WATER 13.23(2021).