Hydrogeological spatial modelling: A comparison between frequentist and Bayesian statistics
نویسندگان
چکیده
Abstract Traditional and modern spatial prediction techniques are applied in the analysis of water quality, evidencing a new approach that allows modeling hydrogeological system central area Boyacá, Colombia. The objective is to determine quality status groundwater for human consumption. In process, predictions were made based on frequentist methods (kriging, cokriging) Bayesian (R-INLA stochastic partial differential equation) as an alternative Markov chain Monte Carlo require large computational cost. From application these methods, comparison by statistical tests goodness adjustment predictions. Our interest here implementation future more robust, economic scientific solutions, particularly data, proper management resources. Finally, vulnerability aquifers analyzed with DRASTIC method, which takes into account surrounding media through variables depth (D), net recharge (R), type aquifer (A), soil (S), topography (T), impact vadose zone (I) hydraulic conductivity (C).
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ژورنال
عنوان ژورنال: Journal of Geophysics and Engineering
سال: 2023
ISSN: ['1742-2140', '1742-2132']
DOI: https://doi.org/10.1093/jge/gxad023