A groundwater security model based on hydraulic turnover times and flow compartments.

MethodsX

Centro de Investigação e Tecnologias Agroambientais e Biológicas (CITAB), Universidade de Trás-os-Montes e Alto Douro (UTAD), Ap. 1013, Vila Real 5001-801, Portugal.

Published: June 2022

Starting with a log-linear relationship between groundwater discharge per unit drainage area (/ ), hydraulic turnover time () and aquifer mobile storage (), this study builds a groundwater security method at catchment scale. The method embeds previously published approaches to calculate / , and , and relies solely on stream flow discharges and watershed areas. The ability to build a method on a couple of variables is remarkable. The method recasts the calculated variables as aquifer security indicators ( , and ), relating with yield capacity, with self-depuration capacity and with resilience. Groundwater security is the weighted product of , and . The method is validated with stream flow discharges and drainage areas concerning 294 hydrometric stations and their watersheds, located in continental Portugal. The results revealed a majority of moderately to highly secure watersheds, especially as regards (> 62%), while 7-10% were classified as very highly secured in general ( - - ). The least secured basins are located in the more arid regions of continental Portugal (Northeast and south regions), as expected. The method can be easily transposed to any other region worldwide, with the necessary adaptions to regional climate, geological and topographic settings. • Compile stream flow discharge data and organize them as natural logarithms and logarithmic variations as function of time, to estimate and ; • Recast the and values as , and ratings, respectively, using the appropriate reclassification scales, and estimate watershed security levels, namely average security or customized (weighted) securities that highlight the contributions of / (watershed yield), (aquifer's self-depuration capacity) or (aquifer's resilience); • Use the results to draw illustrative diagrams and spatial distribution maps.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253716PMC
http://dx.doi.org/10.1016/j.mex.2022.101766DOI Listing

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