干旱区生态环境知识资源中心(Arid): Implementing a new texture-based soil evaporation reduction coefficient in the FAO dual crop coefficient method

Arid

DOI	10.1016/j.agwat.2021.106827
	Implementing a new texture-based soil evaporation reduction coefficient in the FAO dual crop coefficient method
	Amazirh, Abdelhakim; Merlin, Olivier; Er-Raki, Salah; Bouras, Elhoussaine; Chehbouni, Abdelghani
通讯作者	Amazirh, A (corresponding author), Mohammed VI Polytech Univ UM6P, Ctr Remote Sensing Applicat CRSA, Benguerir, Morocco.
来源期刊	AGRICULTURAL WATER MANAGEMENT
ISSN	0378-3774
EISSN	1873-2283
出版年	2021
卷号	250
英文摘要	Crop evapotranspiration (ET) is a fundamental component of the hydrological cycle, especially in arid/semi-arid regions. The FAO-56 offers an operational method for deriving ET from the reduction (dual crop coefficient Kc) of the atmospheric evaporative demand (ET0). The dual coefficient approach (FAO-2Kc) is intended to improve the daily estimation of ET by separating the contribution of bare soil evaporation (E) and crop transpiration components. The FAO-2Kc has been a well-known reference for the operational monitoring of crop water needs. However, its performance for estimating the water use efficiency is limited by uncertainties in the modeled evaporation/transpiration partitioning. This paper aims at improving the soil module of the FAO-2Kc by modifying the E reduction coefficient (Kr) according to soil texture information and state-of-the-art formulations, hence, to amend the mismatch between FAO-2Kc and field-measured data beyond standard conditions. In practice this work evaluates the performance of two evaporation models, using the classical Kr (Kr,FAO) and a new texture-based Kr (Kr,text) over 33 bare soil sites under different evaporative demand and soil conditions. An offline validation is investigated by forcing both models with observed soil moisture (?s) data as input. The Kr,text methodology provides more accurate E estimations compared to the Kr,FAO method and systematically reduces biases. Using Kr,text allows reaching the lowest root means square error (RMSE) of 0.16 mm/day compared to the Kr,FAO where the lowest RMSE reached is 0.88 mm/day. As a step further in the assessment of the proposed methodology, ET was estimated in three wheat fields across the entire agricultural season. Both approaches were thus inter-compared in terms of ET estimates forced by SM estimated as a residual of the water balance model (online validation). Compared to ET measurements, the new formulation provided more accurate results. The RMSE was 0.66 mm/day (0.71 mm/day) and the R2 was 0.83 (0.78) for the texture-based (classical) Kr.
英文关键词	FAO-2Kc Soil evaporation Soil texture Soil moisture Evapotranspiration
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000636459600004
WOS类目	Agronomy ; Water Resources
WOS研究方向	Agriculture ; Water Resources
来源机构	French National Research Institute for Sustainable Development
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/349340
作者单位	[Amazirh, Abdelhakim; Er-Raki, Salah; Chehbouni, Abdelghani] Mohammed VI Polytech Univ UM6P, Ctr Remote Sensing Applicat CRSA, Benguerir, Morocco; [Merlin, Olivier; Bouras, Elhoussaine; Chehbouni, Abdelghani] Univ Toulouse, Ctr Etud Spatiales Biosphere CESBIO, CNES, CNRS,IRD,UPS, Toulouse, France; [Er-Raki, Salah; Bouras, Elhoussaine] Univ Cadi Ayyad, Fac Sci & Tech, Dept Phys Appl, ProcEDE, Marrakech, Morocco
推荐引用方式 GB/T 7714	Amazirh, Abdelhakim,Merlin, Olivier,Er-Raki, Salah,et al. Implementing a new texture-based soil evaporation reduction coefficient in the FAO dual crop coefficient method[J]. French National Research Institute for Sustainable Development,2021,250.
APA	Amazirh, Abdelhakim,Merlin, Olivier,Er-Raki, Salah,Bouras, Elhoussaine,&Chehbouni, Abdelghani.(2021).Implementing a new texture-based soil evaporation reduction coefficient in the FAO dual crop coefficient method.AGRICULTURAL WATER MANAGEMENT,250.
MLA	Amazirh, Abdelhakim,et al."Implementing a new texture-based soil evaporation reduction coefficient in the FAO dual crop coefficient method".AGRICULTURAL WATER MANAGEMENT 250(2021).