{"title":"Estimating hydraulic properties and residence times of unconfined aquifers","authors":"Thomas A. McMahon, Rory J. Nathan","doi":"10.1016/j.jhydrol.2025.132861","DOIUrl":null,"url":null,"abstract":"<div><div>When detailed groundwater data are unavailable to determine unconfined aquifer characteristics, lumped parameter methods are used to estimate hydraulic properties (initial water table depth, <em>D</em>, saturated hydraulic conductivity, <em>k<sub>0</sub></em>, for a given value of drainable porosity, <em>f</em>) and residence time (drainage time scale), <em>τ</em>. Current procedures require the construction of recession-slope plots (first derivative of recessional flows versus flow) and their interpretation to estimate the parameters in two of the three expressions of the Boussinesq formulation. A novel procedure is proposed to estimate <em>D</em> and <em>k<sub>0</sub></em> and, separately, <em>τ</em> based on the maximum recession constant, a parameter which is estimated using an objective approach that is easily automated. Another novel aspect of the proposed approach is the recognition that the variability in <em>D</em> and <em>τ</em> is a measure of aleatory uncertainty and, therefore, the results can be specified in terms of non-exceedance cumulative frequencies to represent catchment behaviour under different climatic conditions. The methods are applied to five very different catchments, and estimated values of <em>D</em>, <em>k<sub>0</sub></em> and <em>τ</em> are compared with field or modelled estimates using current methods.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132861"},"PeriodicalIF":5.9000,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrology","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022169425001994","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
Abstract
When detailed groundwater data are unavailable to determine unconfined aquifer characteristics, lumped parameter methods are used to estimate hydraulic properties (initial water table depth, D, saturated hydraulic conductivity, k0, for a given value of drainable porosity, f) and residence time (drainage time scale), τ. Current procedures require the construction of recession-slope plots (first derivative of recessional flows versus flow) and their interpretation to estimate the parameters in two of the three expressions of the Boussinesq formulation. A novel procedure is proposed to estimate D and k0 and, separately, τ based on the maximum recession constant, a parameter which is estimated using an objective approach that is easily automated. Another novel aspect of the proposed approach is the recognition that the variability in D and τ is a measure of aleatory uncertainty and, therefore, the results can be specified in terms of non-exceedance cumulative frequencies to represent catchment behaviour under different climatic conditions. The methods are applied to five very different catchments, and estimated values of D, k0 and τ are compared with field or modelled estimates using current methods.
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.