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The identification of fault types and their locations is crucial for power system protection/operation when a fault occurs in the lines. In general, this involves a human-in-the-loop analysis to capture the transient voltage and current signals using a common format for transient data exchange for power systems (COMTRADE) file. Then, protection engineers can identify the fault types and the line locations after the incident. This paper proposes intelligent and novel methods of faulty line and location detection based on convolutional neural networks in the power system. The three-phase fault information contained in the COMTRADE file is converted to an image file and extracted adaptively by the proposed CNN, which is trained by a large number of images under various kinds of fault conditions and factors. A 500 kV power system is simulated to generate different types of electromagnetic fault transients. The test results show that the proposed CNN-based analyzer can classify the fault types and locations under various conditions and reduce the fault analysis efforts.

Effective features are essential for fault diagnosis. Due to the faint characteristics of a single line-to-ground (SLG) fault, fault line detection has become a challenge in resonant grounding distribution systems. This paper proposes a novel fault line detection method using waveform fusion and one-dimensional convolutional neural networks (1-D CNN). After an SLG fault occurs, the first-half waves of zero-sequence currents are collected and superimposed with each other to achieve waveform fusion. The compelling feature of fused waveforms is extracted by 1-D CNN to determine whether the fused waveform source contains the fault line. Then, the 1-D CNN output is used to update the value of the counter in order to identify the fault line. Given the lack of fault data in existing distribution systems, the proposed method only needs a small quantity of data for model training and fault line detection. In addition, the proposed method owns fault-tolerant performance. Even if a few samples are misjudged, the fault line can still be detected correctly based on the full output results of 1-D CNN. Experimental results verified that the proposed method can work effectively under various fault conditions.

Radon in drinking water poses radiation-related health risks. Investigating water-related health problems is indispensable, so the goal of the study was to determine how much radon was present in drinking water sources close to and far from the Balakot-Bagh (B-B) fault line (the site of a 7.6-magnitude earthquake in 2005) using the alpha-spectroscopy-based active method RAD-7. The sampling timeframe for the study was from May 16 to August 15, 2020. The radon level of the well water was higher, with an average value of 20.6 BqL –1 . These values were 19.5 and 9.3 BqL –1 in spring and surface waters, respectively, although they were 7.7 and 5.5 BqL –1 far away from the fault line, respectively, while in well water its content (activity) was 14.9 BqL –1 . The mean values for all water sources far and close from the fault line were 9.3 and 16.5 BqL –1 , respectively. The value close to the fault line exceeds the maximum contamination limit recommended in the United States of 11.1 BqL –1 , although the values far from the fault line were within limits. The doses determined from the radon levels of spring, well, and surface waters were 0.053, 0.056, and 0.025 mSv per year, respectively, and the mean dose of overall water-borne radon was 0.045 mSv. Based on regional comparisons, the mean radon concentrations in the drinking water sources for this study were higher than in Romania, Turkey, Italy, Poland, and India.

A study involving soil radon monitoring using RAD-7 instrument was carried out near Balakot-Bagh (B-B) Fault line hit by a 7.6 magnitude earthquake in October 2005. The study aimed to determine the spatial distribution of soil radon gas levels and the relationship between the soil radon gas and fracture density. Eleven soil samples were collected near the fault line, and 56 more samples (fourteen each from the adjoining district/area). Field measurements were made in the summer season of 2013, as a part of continuous measurement for regular monitoring the area for radon emanation and for observing the anomalies with previous values. The study area is located in Lesser Himalayas, North Pakistan, the Balakot–Bagh (B–B) fault in the Hazara–Kashmir Syntaxis. Soil gas radon concentrations were found higher near the Balakot-Bagh Fault line with an average value of 11.9kBqm-3 compared to other sites of the study area with an average value of around 6.5 kBqm-3. The radon value near the fault line is 70% higher as compared to the surrounding area.

The mechanics of earthquake faulting is a multi-disciplinary scientific approach combining laboratory inferences and mathematical models with the analysis of recorded data from earthquakes, and is essential to the understanding of these potentially destructive events.The modern field of study can be said to have begun with the seminal papers by B.

The St. Mauritius mineral spring has been used since the late Bronze Age times (1410/1411 BC), as dated on the wooden headworks using radiocarbon and tree ring (dendrochronology) methods. It became eminent during the late Middle Ages epoch of curative treatments. The water is renowned for its high iron content and high amounts of dissolved and gaseous CO2. This special character of the Mauritius spring made it attractive to be analyzed by esteemed chemists over more than two centuries. By these analyses transferred in coherent units, a comparison of the chemical composition of this Mauritius mineral spring during the entire interval from 1788 to 2022 became possible. It reveals that the chemical composition of the Mauritius mineral spring water has largely remained stable and apart from some minor changes in water quality caused by alterations to the spring capture headworks since that time. These capture remediation actions were aimed to maintain the original composition of the Mauritius mineral spring water, which since its first utilization is threatened by the prevailing mixing processes with the shallow, low mineralized groundwater. The mineral water can be characterized as being an acidic calcium–sodium–magnesium–bicarbonate-type water, rich in iron, with a total mineralization of about 1.8 g/l. The spring discharge with a temperature of about 4–6 °C and contains about 2500 mg/l of free gaseous carbon dioxide. This high concentration of free outgassing of CO2 is due to the emission of this gas from a great depth from the Engadine Fault Line which crosses the spring discharge area.

This study presents the results of a spatiotemporal analysis of indoor radon concentration dynamics at the Al-Farabi Kazakh National University (Almaty, Republic of Kazakhstan), located near the Almaty tectonic fault. The research is based on a 2.5-year monitoring campaign of radon levels using the RAMON-02A radiometer. The radon activity concentration ranged from 1.29 ± 0.19 to 149 ± 22 Bq/m3. The distribution of radon concentrations was found to follow a lognormal law, with a skewness coefficient of 1.55 and kurtosis of 4.7. The mean values were 28.7 ± 4.2 Bq/m3 (arithmetic mean) and 24.5 ± 3.6 Bq/m3 (geometric mean). Distinct seasonal and monthly variations were observed: the lowest concentrations were recorded during the summer months (August—20.8 ± 3.1 Bq/m3), while the highest were observed in spring and winter (May—34.0 ± 4.9 Bq/m3, December—34.2 ± 4.9 Bq/m3). The springtime increase in radon levels is attributed to thermobaric effects, limited ventilation, and precipitation, which contributes to soil sealing. Autocorrelation analysis revealed diurnal, seasonal, and annual fluctuations, as well as quasi-periodic variations of approximately 150 days, presumably linked to geophysical processes. Correlation analysis indicated a weak positive relationship between radon concentration and air temperature during winter and spring (≈0.2), and a pronounced negative correlation with atmospheric pressure in winter (−0.57). The influence of humidity was found to be minor and seasonally variable.

The Mj6.5 (Mw6.2) event that occurred on 5 May 2023 near the northern shoreline of the northeastern tip of the Noto Peninsula, central Japan, is the largest event to date in a long‐lasting, intense earthquake swarm. Here we have created a more precise aftershock catalog associated with the 2023 Mj6.5 and the second‐largest 2022 Mj5.4 sequence to understand the rupture process of this largest earthquake. Most of the aftershocks are aligned along a ∼45° SE‐dipping plane. The mainshock initially ruptured the same deep section of the fault zone that had been ruptured by the 2022 Mj5.4 event, before propagating rapidly to shallow depths and to offshore along the ruptured fault plane. The aftershock front migrated at a speed of ∼20 km/hr. This rapid upward migration of the immediate aftershocks might be driven by upwelling of crustal fluids along the intensely fractured and permeable fault zone via mainshock dynamic rupture. Plain Language Summary Near the northeastern tip of the Noto Peninsula, central Japan, a long‐lasting, intense earthquake swarm has continued since November 2020. On 5 May 2023, the largest Mj6.5 (Mw6.2) event to date occurred. We precisely located the aftershock distribution following the 2023 Mj6.5 and the second‐largest 2022 Mj5.4 sequence and enhanced the catalog by searching events based on waveform similarity to understand the rupture process of this largest earthquake. The 2023 Mj6.5 event initially ruptured the same deep section of the fault that had been ruptured by the 2022 Mj5.4 event, before propagating rapidly to shallow depths and to offshore along the ruptured fault. We can see that the aftershock front moved at a speed of ∼20 km/hr, which is a rare case that constrains the rapid movement of aftershocks. The rapid upward movement of the aftershocks may have been caused by the upwelling of crustal fluids along the permeable fault zone created by the dynamic rupture of the mainshock. Key Points We constructed a more precise aftershock catalog associated with the two major ruptures during a long‐lasting intense seismic swarm We identify a rapid migration of early aftershocks following the largest 2023 Mj6.5 earthquake to date during the seismic swarm Upwelling of crustal fluids along the fractured permeable fault zone could drive the rapid migration of early aftershocks