干旱区生态环境知识资源中心(Arid): One-step approach for estimating maize actual water use: part II. Lysimeter evaluation of variable surface resistance models

Arid

DOI	10.1007/s00271-018-0607-7
	One-step approach for estimating maize actual water use: part II. Lysimeter evaluation of variable surface resistance models
	Lopez-Urrea, R.1,2; Chavez, J. L.3
通讯作者	Chavez, J. L.
来源期刊	IRRIGATION SCIENCE
ISSN	0342-7188
EISSN	1432-1319
出版年	2019
卷号	37 期号:2 页码:139-150
英文摘要	This study evaluated maize variable bulk surface resistance (r(s), s m(-1)) models developed using field/environmental data from non-irrigated fields in a humid climate. The different r(s) models were reported in the companion paper. Surface resistance values derived from the application of the new models were inserted in the 1965 Penman-Monteith ET equation to calculate actual maize evapotranspiration (ETa). This is the so-called one-step approach. The evaluation was performed with maize water use data measured with a large weighing lysimeter located in the middle of an irrigated maize field (semi-arid climate) near Bushland, Texas, USA. The evaluation was performed for different time scales (semi-hourly to daily) and the r(s) models bias (MBE) and root mean square errors (RMSE) were determined. Using daytime 30-min r(s) models in maize ETa (mm 30-min(-1)) estimation resulted with the lowest relative error of 15.4%. While daytime average r(s) models developed from daytime average explanatory variables resulted with the lowest relative error of 20.9% in 30-min maize ETa estimation. When r(s) models from 30-min and daylight average explanatory variables were used to obtain cumulative daytime maize ETa estimations, resulting errors were lower than for semi-hourly time step. In addition, when daytime 30-min and average r(s) models were applied in conjunction with a fixed r(s) nighttime value to obtain daily maize ETa, results were similar than those for the daytime time step. Furthermore, another evaluation incorporated r(s) values obtained adopted ranges of crop evaporative fraction (EF). When this EF-based r(s) values were used to estimate maize (ETa, mm 30-min(-1)) the error found was 5.9 +/- 21.7%. This result seems high; however, when the EF range-based r(s) values were applied in the estimation of maize cumulative daytime ETa, results indicated an error of 5.9 +/- 11.9%. In this last case, the relative error was much lower than for 30-min ETa estimations. Therefore, it is concluded that some maize r(s) models, reported in the companion paper, performed well when evaluated in a different climate and agronomic practices and are suitable for the estimation of ETa using the 1965 Penman-Monteith ET equation. In particular daytime 30-min r(s) models applied to 30-min intervals of ETa estimation and then accumulated over the day performed better than the others r(s) models and time steps studied.
类型	Article
语种	英语
国家	Spain ; USA
收录类别	SCI-E
WOS记录号	WOS:000462199200003
WOS关键词	PRECISION WEIGHING LYSIMETER ; CANOPY RESISTANCE ; SEED PRODUCTION ; HEAT-FLUX ; EVAPOTRANSPIRATION ; FIELD ; PERFORMANCE ; ACCURACY ; RADIATION ; REGION
WOS类目	Agronomy ; Water Resources
WOS研究方向	Agriculture ; Water Resources
来源机构	Colorado State University
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216559
作者单位	1.ITAP, Parque Empresarial Campollano,2a Avda 61, Albacete 02007, Spain; 2.FUNDESCAM, Parque Empresarial Campollano,2a Avda 61, Albacete 02007, Spain; 3.Colorado State Univ, Dept Civil & Environm Engn, 1372 Campus Delivery, Ft Collins, CO 80523 USA
推荐引用方式 GB/T 7714	Lopez-Urrea, R.,Chavez, J. L.. One-step approach for estimating maize actual water use: part II. Lysimeter evaluation of variable surface resistance models[J]. Colorado State University,2019,37(2):139-150.
APA	Lopez-Urrea, R.,&Chavez, J. L..(2019).One-step approach for estimating maize actual water use: part II. Lysimeter evaluation of variable surface resistance models.IRRIGATION SCIENCE,37(2),139-150.
MLA	Lopez-Urrea, R.,et al."One-step approach for estimating maize actual water use: part II. Lysimeter evaluation of variable surface resistance models".IRRIGATION SCIENCE 37.2(2019):139-150.