干旱区生态环境知识资源中心(Arid): Strategies of Parameter Optimization and Soil Moisture Sensor Deployment for Accurate Estimation of Evapotranspiration Through a Data-driven Method

Arid

DOI	10.1016/j.agrformet.2023.109354
	Strategies of Parameter Optimization and Soil Moisture Sensor Deployment for Accurate Estimation of Evapotranspiration Through a Data-driven Method
	Chai, Yuanyuan; Liu, Hu; Yu, Yang; Yang, Qiyue; Zhang, Xiaoyou; Zhao, Wenzhi; Guo, Li; Yetemen, Omer
通讯作者	Liu, H
来源期刊	AGRICULTURAL AND FOREST METEOROLOGY
ISSN	0168-1923
EISSN	1873-2240
出版年	2023
卷号	331
英文摘要	A soil moisture data-driven method through inversely solving the Richards' equation was tested, and proved to be a reliable alternative estimator of actual evapotranspiration (ETa) for relatively homogeneous soils in an arid region. Few studies have examined the feasibility of the method using soil moisture for soils with more heterogeneities, which may lead to biased parameters and varied root depths, and thus inaccurate estimates of ETa. We used a genetic algorithm to optimize the parameters most sensitive to ETa estimation, then estimated daily and seasonal ETa using hourly soil moisture data, measured from four sites (from surface to 2-m depth at 20-cm intervals) with different soil textures and crop species in desert-oasis farmlands in northwest China. The seasonal ETa values were 487, 574, 436, and 377 mm at the sites cropped with field maize, spring wheat, seed maize, and seed maize, respectively, in 2018. The daily rates from one site were validated against the eddy-covariance measurements, and the daily rates from all the sites were compared against the estimations from a simple water balance method, and both showed good consistency (R2 = 0.72-0.93). The inverse method has great potential for relatively accurate estimates of ETa in the middle and late growing stages but may induce a slight underestimation in the initial growing season. To determine the minimum monitoring depths of sensors for relatively accurate estimates, ETa values were estimated using soil moisture data at various observation depths, and were compared with eddy-covariance measurements and hypothetical ETa-observed depth curves. The results showed that inaccurate stratification of soil types in the profiles may cause great uncertainty in the estimates, and if texture-contrasting interlayers exist in the profiles, the lowest soil moisture sensor should be placed sufficiently deep, with all the interlayers fully included.
英文关键词	Soil moisture Data -driven method Richards ? equation Evapotranspiration Installation depth
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000927800400001
WOS关键词	ROOT-WATER-UPTAKE ; IRRIGATED AGRICULTURAL FIELD ; ENERGY-BALANCE CLOSURE ; RICHARDS EQUATION ; HYDRAULIC CONDUCTIVITY ; NUMERICAL-SOLUTION ; MODEL ; FOREST ; GROWTH ; WHEAT
WOS类目	Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS研究方向	Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394999
推荐引用方式 GB/T 7714	Chai, Yuanyuan,Liu, Hu,Yu, Yang,et al. Strategies of Parameter Optimization and Soil Moisture Sensor Deployment for Accurate Estimation of Evapotranspiration Through a Data-driven Method[J],2023,331.
APA	Chai, Yuanyuan.,Liu, Hu.,Yu, Yang.,Yang, Qiyue.,Zhang, Xiaoyou.,...&Yetemen, Omer.(2023).Strategies of Parameter Optimization and Soil Moisture Sensor Deployment for Accurate Estimation of Evapotranspiration Through a Data-driven Method.AGRICULTURAL AND FOREST METEOROLOGY,331.
MLA	Chai, Yuanyuan,et al."Strategies of Parameter Optimization and Soil Moisture Sensor Deployment for Accurate Estimation of Evapotranspiration Through a Data-driven Method".AGRICULTURAL AND FOREST METEOROLOGY 331(2023).