Automated anomalous behaviour detection in soil radon gas prior to earthquakes using computational intelligence techniques

Tareen, Aleem Dad Khan; Asim, Khawaja M.; Kearfott, Kimberlee J.; Rafique, Muhammad; Nadeem, Malik Sajjad Ahmed; Iqbal, Talat; Rahman, Saeed Ur

doi:10.1016/j.jenvrad.2019.03.003

Cited by 43 publications

(27 citation statements)

References 31 publications

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“…2, where magnitude ranges are given on x-axis whereas frequency of events is plotted along y-axis. "Mmean" has been calculated in Table II by using (2) .…”

Section: E Mathematical Modelmentioning

confidence: 99%

“…In practice, expert systems have been efficiently used for risk analysis and assessment in multiple areas, such as engineering, economics, information technology (IT), and healthcare. Specifically, ESs have been successfully applied for soil classification [2], land sliding hazard assessment [3], Manuscript received 2 December, 2019; accepted 24 April, 2020. [4], seismic hazard analysis [5], and earthquake damage evaluation of buildings [6].…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy Expert System for Earthquake Prediction in Western Himalayan Range

Tehseen

Farooq

Abid

2020

ELEKTRON ELEKTROTECH

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Fuzzy Expert System (FES) with application to earthquake prediction has been presented to reproduce the performance of a human expert in earthquake prediction using expert systems. This research aims to predict future earthquakes having a magnitude 5.5 or greater. Previous earthquake data from 2000 to 2019 have been collected for this purpose. Since the earthquake data for the specified region have been reported on different magnitude scales, suitable relationships were determined to obtain uniform data. The uniform data have been used to calculate seismicity indicators according to the guidelines provided by Gutenberg-Richter’s scale for quantitative determination of earthquake features. The relationships among these seismic indicators have been used by the human expert to set the rule base of Fuzzy expert system. These rules have been mathematically validated and tested on instrumentally recorded earthquake data. The results obtained from the proposed FES presented 47 % accuracy in predicting future earthquakes that may occur in the 100 km radial area from 34.708 ° N, 72.5478 ° E.

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“…2, where magnitude ranges are given on x-axis whereas frequency of events is plotted along y-axis. "Mmean" has been calculated in Table II by using (2) .…”

Section: E Mathematical Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fuzzy Expert System for Earthquake Prediction in Western Himalayan Range

Tehseen

Farooq

Abid

2020

ELEKTRON ELEKTROTECH

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“…The study of collected radon data is important not only for warning about the humans' health risks because of its inhalation [4,5] but for the prediction of earthquakes [6] and spontaneous combustion scenarios in coal mines [7]. In these quite different scenarios, time and space are recognised as fundamental dimensions of collected data in order to depict an actual throbbing picture of the presence and potential impact of radon [4]- [8].…”

Section: Introductionmentioning

confidence: 99%

“…Meanwhile, other variables like meteorological parameters and soil characteristics are intrinsically related because of their influence in radon concentration [3,5,7,9]. This kind of studies is characterised by a challenging task: to derive meaningful insights from collected data [6,7].…”

Section: Introductionmentioning

confidence: 99%

Ontology-based Data Management Tool for Studying Radon Concentration

̃na¹,

Maigua-Quinteros²,

Urrutia-Urrutia³

et al. 2020

Adv. sci. technol. eng. syst. j.

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Interpreting data for solving information needs demands an understanding of the semantics of row data. In this paper, an ontology-driven management of data of the presence of radon gas in soil is presented. The main contribution of this research relies on the formal definition of the semantic of the presence of radon in the dimensions of space and time. As a result, a dynamic data view generator for the observation of radon measurements was deployed without actual software programming but with the proper adjustment and instantiation of the ontology ViewOnto, a web ontology which was created for the formal description of data views. An experimental assessment of the proposal was carried out with data obtained from stone aggregate mines and civil constructions in Tungurahua. The usability of the resulting data management system was successfully validated with the criteria of experts on usability and researchers with experience in radon measurement.

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“…Previous studies have identified water as a potentially significant source of indoor 222 Rn [ 22 ]. Recent studies even correlate soil radon gas anomalies with seismic activity [ 32 ]. Moreover, indoor radon studies show the importance of environmental parameters, such as positive correlation with indoor humidity and outdoor temperature, and negative correlation with barometric pressure and wind speed for well ventilated spaces, whereas for unventilated spaces it is positively correlated with outdoor hourly rainfall [ 38 ].…”

Section: Introductionmentioning

confidence: 99%

Radon (222Rn) concentrations in the touristic Jumandy cave in the Amazon region of Ecuador

Paz

Romero

Žalakevičiūtė

2019

Journal of Radiation Research

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ABSTRACT This work consists of the detection and quantification of the concentration levels of radioactive gas radon-222 (222Rn) of natural origin, as well as the determination of the critical points and the estimation of the effective dose absorbed by the tourists and guides inside the Jumandy cavern in Napo, Ecuador. According to the feasibility map of uranium of Ecuador, the study area is located in one of the top-priority areas for obtaining uranium, suggesting possible radioactivity in this unstudied region. The measurements were carried out from July to October of 2017, in three different monitoring points inside the cavern. The average radon concentrations measured in the cavern exceeded the maximum recommended environmental level by a factor of 28, and the effective dose absorbed by the guides exceeded the recommended maximum by a f actor of 10. Meteorological parameters such as temperature and relative humidity have an impact on the 222Rn concentrations in different parts of the cave.

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Automated anomalous behaviour detection in soil radon gas prior to earthquakes using computational intelligence techniques

Cited by 43 publications

References 31 publications

Fuzzy Expert System for Earthquake Prediction in Western Himalayan Range

Fuzzy Expert System for Earthquake Prediction in Western Himalayan Range

Ontology-based Data Management Tool for Studying Radon Concentration

Radon (222Rn) concentrations in the touristic Jumandy cave in the Amazon region of Ecuador

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