干旱区生态环境知识资源中心(Arid): Performance analyses of effective rainfall estimation methods for accurate quantification of agricultural water footprint

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DOI	10.1016/j.watres.2023.120011
	Performance analyses of effective rainfall estimation methods for accurate quantification of agricultural water footprint
	Muratoglu, Abdullah; Bilgen, Gonca Karaca; Angin, Ilker; Kodal, Suleyman
通讯作者	Angin, I
来源期刊	WATER RESEARCH
ISSN	0043-1354
EISSN	1879-2448
出版年	2023
卷号	238
英文摘要	Water footprint (WF) assessments have become a significant tool for the sustainable management in recent years. Effective rainfall (Peff) is a critical indicator for characterizing soil moisture (green water, WFgreen) and calculating irrigation requirements (blue water, WFblue). However, majority of the water footprint analyses employ empirical or numerical models to predict Peff, and the number of studies for experimental validation of these models are quite insufficient. The main scope of this study is to test the performance of commonly used Peff estimation models in relation to the soil water balance (SWB) of an experimental site. Accordingly, the daily and monthly soil water budget is estimated from a maize field which is characterized as semi-arid land with continental climate (Ankara, Turkey), equipped with moisture sensors. Then, Peff, WFgreen, and WFblue parameters are calculated using FP, US-BR, USDA-SCS, FAO/AGLW, CROPWAT, and SuET methods and compared with SWB method. Employed models were highly variable. CROPWAT and US-BR predictions were the most accurate. In majority of months, the CROPWAT method estimated the Peff with a maximum deviation of 5% from the SWB method. In addition, the CROPWAT method predicted blue WF with an error less than 1%. The widely utilized USDA-SCS approach did not produce expected results. The FAO-AGLW method provided the lowest performance for each parameter. We also find that the errors in estimating Peff in semi-arid conditions cause green and blue WF outputs to be quite less accurate than the dry and humid cases. This study provides one of the most detailed assessments about the impact of effective rainfall on the blue and green WF results with high temporal resolution. The findings of this study are important for the accuracy and performance of the formulae used in Peff estimations and to develop more precise blue and green WF analyses in the future.
英文关键词	Effective rainfall Soil water balance CROPWAT USDA-SCS US-BR SuET
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001004285800001
WOS关键词	MAIZE PRODUCTION ; SENSITIVITY ; PATTERN ; GREEN ; MODEL
WOS类目	Engineering, Environmental ; Environmental Sciences ; Water Resources
WOS研究方向	Engineering ; 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/2XILL650/399124
推荐引用方式 GB/T 7714	Muratoglu, Abdullah,Bilgen, Gonca Karaca,Angin, Ilker,et al. Performance analyses of effective rainfall estimation methods for accurate quantification of agricultural water footprint[J],2023,238.
APA	Muratoglu, Abdullah,Bilgen, Gonca Karaca,Angin, Ilker,&Kodal, Suleyman.(2023).Performance analyses of effective rainfall estimation methods for accurate quantification of agricultural water footprint.WATER RESEARCH,238.
MLA	Muratoglu, Abdullah,et al."Performance analyses of effective rainfall estimation methods for accurate quantification of agricultural water footprint".WATER RESEARCH 238(2023).