Parameter Estimation of Soil Water Retention and Thermal Conductivity Curves Using HYDRUS-1D and Inverse Solution

IF 4 2区 农林科学 Q2 SOIL SCIENCE
Ashkan Tehrani, Abdolmajid Liaghat, Reza Delbaz
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Abstract

Soil water retention curve (SWRC) and thermal conductivity curve (TCC) are crucial soil properties affecting water flow and plant growth in soils. This study investigated simultaneous SWRC and TCC parameter estimation using an inverse solution approach. Water and heat movement in soil were modelled in two soil column experiments, including infiltration with warm water (IWW) and evaporation with heat pulse (EHP), using the HYDRUS-1D package. For the IWW experiment, two scenarios were considered, each based on a selection of parameters for the inverse solution. For the EHP experiment, 13 scenarios were developed by varying combinations of heat pulses and soil suction sensors as inputs. Unique solutions were obtained in the first IWW, fifth EHP, and 12th EHP scenarios. The first IWW scenario estimated two SWRC parameters (empirical shape parameters, α and n) and three TCC parameters (empirical parameters in soil thermal conductivity function, b1, b2 and b3) using the temperature profile and cumulative infiltration as inputs. The fifth EHP scenario estimated five SWRC parameters (saturated [θs] and residual [θr] water content, saturated hydraulic conductivity Ks, α and n) and three TCC parameters (b1, b2 and b3) using three heat pulses and four tensiometers data as input to the model. The results showed both experiments could estimate SWRC and TCC, with EHP estimating up to eight parameters compared to five for IWW. The 12th EHP scenario (two heat pulses and two tensiometers) provided a unique solution using less input data, offering a more convenient approach, though with slightly wider bounds of estimated parameters.

Abstract Image

基于HYDRUS-1D和逆解的土壤保水和导热曲线参数估计
土壤保水曲线(SWRC)和热导率曲线(TCC)是影响土壤水分流动和植物生长的重要土壤性质。本研究利用反解法研究了SWRC和TCC参数的同时估计。采用HYDRUS-1D软件,对土壤中水分和热量的运动进行了模拟,包括温水入渗(IWW)和热脉冲蒸发(EHP)。对于IWW实验,考虑了两种情况,每种情况都基于反解的参数选择。在EHP实验中,通过不同的热脉冲组合和土壤吸力传感器作为输入,开发了13种场景。在第1次IWW、第5次EHP和第12次EHP情景下得到了唯一解。第一个IWW情景以温度剖面和累积入渗为输入,估计了2个SWRC参数(经验形状参数α和n)和3个TCC参数(土壤热导函数经验参数b1、b2和b3)。第五种EHP情景使用3个热脉冲和4个张力计数据作为模型输入,估计了5个SWRC参数(饱和[θs]和剩余[θr]含水量、饱和水力导率Ks、α和n)和3个TCC参数(b1、b2和b3)。结果表明,两个实验都可以估计SWRC和TCC, EHP可以估计多达8个参数,而IWW只能估计5个参数。第12种EHP情景(两个热脉冲和两个张力计)提供了一种独特的解决方案,使用较少的输入数据,提供了更方便的方法,尽管估计参数的范围略宽。
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来源期刊
European Journal of Soil Science
European Journal of Soil Science 农林科学-土壤科学
CiteScore
8.20
自引率
4.80%
发文量
117
审稿时长
5 months
期刊介绍: The EJSS is an international journal that publishes outstanding papers in soil science that advance the theoretical and mechanistic understanding of physical, chemical and biological processes and their interactions in soils acting from molecular to continental scales in natural and managed environments.
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