An analytical algorithm for designing radon monitoring network to predict the location and magnitude of earthquakes
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Continuous radon monitoring in soil and groundwater is one of the useful methods in earthquake prediction process. There are many published studies on geochemical precursors to seismic activity, both reporting the detection of validated precursory phenomena. The research on geochemical precursory algorithms is aimed at defining quantitative relations between seismogenic parameters and endogenetic components. This paper presents a new analytical algorithm that can be used to estimate optimum location and magnitude of coming earthquakes based on variations in radon concentration or any other geochemical precursors. In a real life application of this algorithm, radon monitoring network for Kerman province has been designed and the resulting data have been investigated. This practical example corroborates the proposed algorithm as well and the resulting seismogenic parameters e.g. location and magnitude have been obtained within their acceptable ranges. Furthermore, the proposed algorithm emphasizes on hot-springs which have the most effect on results around target zone.