Estimating soil water retention curves from thermal conductivity measurements: A percolation-based effective-medium approximation

IF 5.9 1区 地球科学 Q1 ENGINEERING, CIVIL Journal of Hydrology Pub Date : 2023-09-01 DOI:10.1016/j.jhydrol.2023.129898
Yongwei Fu , Lin Liu , Yili Lu , Robert Horton , Tusheng Ren , Joshua Heitman
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引用次数: 1

Abstract

A soil water retention curve (SWRC) describes the relationship between soil water content (θ) and suction (h, also the absolute value of pressure head). Earlier work indicated that correlations existed between the percolation-based effective medium approximation (P-EMA) thermal conductivity (λ) model parameters and soil hydraulic properties. In this study, the critical water content (θc) of the P-EMA model was related to the pore size distribution parameter (m) of the van Genuchten model, water content at the inflection point of a SWRC (θi) and hydraulic continuity water content (θhc). And a pedo-transfer function was established to estimate the van Genuchten model parameter α from soil properties and P-EMA parameters. Based on these relationships, three approaches were developed to estimate the van Genuchten models parameters from λ(θ) measurements, porosity, sand and clay contents. The three approaches were then validated on six independent soils, and results showed that all of the approaches estimated θ well at selected h values, with the average root mean square errors from 0.025 to 0.029 cm3 cm−3, the average mean relative absolute errors ranging from 0.111 to 0.157, and the average Akaike Information Criterion from −18.3 to −16.2. Two new approaches outperformed the original Fu et al approach but with fewer input parameters (no need for organic carbon content), thus also facilitating their broader application.

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从热导率测量估计土壤保水曲线:基于渗透的有效介质近似
土壤保水曲线(SWRC)描述了土壤含水量(θ)与吸力(h)以及压头绝对值之间的关系。早期的研究表明,基于渗流的有效介质近似(P-EMA)导热系数(λ)模型参数与土壤水力特性之间存在相关性。在本研究中,P-EMA模型的临界含水量(θc)与van Genuchten模型的孔径分布参数(m)、SWRC拐点处的含水量(θi)和水力连续含水量(θhc)有关。建立了一个传递函数,根据土壤性质和P-EMA参数估计van Genuchten模型参数α。基于这些关系,我们开发了三种方法从λ(θ)测量、孔隙度、砂和粘土含量来估计van Genuchten模型参数。结果表明,3种方法在选择的h值下均能较好地估计θ,平均均方根误差为0.025 ~ 0.029 cm3 cm - 3,平均相对绝对误差为0.111 ~ 0.157,赤池信息准则的平均误差为- 18.3 ~ - 16.2。两种新方法优于Fu等人的原始方法,但输入参数更少(不需要有机碳含量),从而也促进了它们更广泛的应用。
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来源期刊
Journal of Hydrology
Journal of Hydrology 地学-地球科学综合
CiteScore
11.00
自引率
12.50%
发文量
1309
审稿时长
7.5 months
期刊介绍: The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.
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