干旱区生态环境知识资源中心(Arid): Bayesian Calibration and Uncertainty Assessment of HYDRUS-1D Model Using GLUE Algorithm for Simulating Corn Root Zone Salinity under Linear Move Sprinkle Irrigation System

Arid

DOI	10.3390/w14244003
	Bayesian Calibration and Uncertainty Assessment of HYDRUS-1D Model Using GLUE Algorithm for Simulating Corn Root Zone Salinity under Linear Move Sprinkle Irrigation System
	Moghbel, Farzam; Mosaedi, Abolfazl; Aguilar, Jonathan; Ghahraman, Bijan; Ansari, Hossein; Goncalves, Maria C.
通讯作者	Mosaedi, A
来源期刊	WATER
EISSN	2073-4441
出版年	2022
卷号	14 期号:24
英文摘要	Soil salinization is one of the significant concerns regarding irrigation with saline waters as an alternative resource for limited freshwater resources in arid and semi-arid regions. Thus, the investigation of proper management methods to control soil salinity for irrigation with saline waters is inevitable. The HYDRUS-1D model is a well-known numerical model that can facilitate the exploration of management scenarios to mitigate the consequences of irrigation with saline waters, especially soil salinization. However, before using the model as a decision support system, it is crucial to calibrate the model and analyze the model's parameters and outputs' uncertainty. Therefore, the generalized likelihood uncertainty estimation (GLUE) algorithm was implemented for the HYDRUS-1D model in the R environment to calibrate the model and assess the uncertainty aspects for simulating soil salinity of corn root zone under saline irrigation with linear move sprinkle irrigation system. The results of the study have detected a lower level of uncertainty in the alpha, n, and theta(s) (saturated soil water content) parameters of water flow simulations, dispersivity (lambda), and adsorption isotherm coefficient (K-d) parameters of solute transport simulations comparing to the other parameters. A higher level of uncertainty was found for the diffusion coefficient as its corresponding posterior distribution was not considerably changed from its prior distribution. The reason for this phenomenon could be the minor contribution of diffusion to the solute transport process in the soil compared with advection and hydrodynamic dispersion under saline water irrigation conditions. Predictive uncertainty results revealed a lower level of uncertainty in the model outputs for the initial growth stages of corn. The analysis of the predictive uncertainty band also declared that the uncertainty in the model parameters was the predominant source of uncertainty in the model outputs. In addition, the excellent performance of the calibrated model based on 50% quantiles of the posterior distributions of the model parameters was observed in terms of simulating soil water content (SWC) and electrical conductivity of soil water (ECsw) at the corn root zone. The ranges of NRMSE for SWC and ECsw simulations at different soil depths were 0.003 to 0.01 and 0.09 to 0.11, respectively. The results of this study have demonstrated the authenticity of the GLUE algorithm to seek uncertainty aspects and calibration of the HYDRUS-1D model to simulate the soil salinity at the corn root zone at field scale under a linear move irrigation system.
英文关键词	Bayesian calibration corn GLUE HYDRUS-1D irrigation root water uptake salinity solute transport uncertainty
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:000904297300001
WOS关键词	MONTE-CARLO-SIMULATION ; DIFFERENTIAL EVOLUTION ; PARAMETER-ESTIMATION ; WATER ; YIELD ; WHEAT ; CROP
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/2XILL650/394869
推荐引用方式 GB/T 7714	Moghbel, Farzam,Mosaedi, Abolfazl,Aguilar, Jonathan,et al. Bayesian Calibration and Uncertainty Assessment of HYDRUS-1D Model Using GLUE Algorithm for Simulating Corn Root Zone Salinity under Linear Move Sprinkle Irrigation System[J],2022,14(24).
APA	Moghbel, Farzam,Mosaedi, Abolfazl,Aguilar, Jonathan,Ghahraman, Bijan,Ansari, Hossein,&Goncalves, Maria C..(2022).Bayesian Calibration and Uncertainty Assessment of HYDRUS-1D Model Using GLUE Algorithm for Simulating Corn Root Zone Salinity under Linear Move Sprinkle Irrigation System.WATER,14(24).
MLA	Moghbel, Farzam,et al."Bayesian Calibration and Uncertainty Assessment of HYDRUS-1D Model Using GLUE Algorithm for Simulating Corn Root Zone Salinity under Linear Move Sprinkle Irrigation System".WATER 14.24(2022).