Assessment of strong earthquake risk in the Chinese mainland from 2021 to 2030

Shao, Zongping; Wu, Yanqiang; Ji, Lanlan; Diao, Faqi; Shi, Fuqiang; Li, Yujiang; Feng, Lei; Zhang, Hui; Wang, Wuxing; Wei, W.; Wang, Peng; Liu, Xiaoxia; Liu, Qi; Pan, Zaifa; Yin, Xiaofei; Liu, Yue; Feng, Wei; Zou, Zhenyu; Cheng, Jia; Lu, Riyu; Xu, Yueren; Li, Xi

doi:10.1016/j.eqrea.2022.100177

Cited by 13 publications

(5 citation statements)

References 32 publications

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“…In addition, we compare the research results with the risk assessment results of strong earthquakes that may occur in mainland China during 2021-2030 conducted by Shao et al [58]. Based on the data on the strong earthquake recurrence model, the cumulative probability of each target fault in the next 10 years is given by the recurrence period and elapsed time of each fault, which are adopted from relevant studies such as seismological geology, geodesy and historical earthquake records.…”

Section: Validationmentioning

confidence: 99%

“…The evaluation models of the two different methods can predict the earthquake risk to a certain extent, but the model in this paper is more suitable for a large-scale region, and Shao et al's model is more suitable for a small-scale region. In addition, we compare the research results with the risk assessment results of strong earthquakes that may occur in mainland China during 2021-2030 conducted by Shao et al [58]. Based on the data on the strong earthquake recurrence model, the cumulative probability of each target fault in the next 10 years is given by the recurrence period and elapsed time of each fault, which are adopted from relevant studies such as seismological geology, geodesy and historical earthquake records.…”

Section: Validationmentioning

confidence: 99%

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Earthquake Risk Assessment in Seismically Active Areas of Qinghai Province Based on Geographic Big Data

Zhang,

Kang,

Wang

et al. 2024

Atmosphere

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Earthquakes can cause serious damage to buildings, roads and other infrastructure. The large amount of dust and particulate matter generated when these structures collapse and are damaged can quickly enter the air, leading to a decline in air quality. At the same time, earthquakes may cause secondary disasters such as fires and landslides, which will also produce large amounts of soot and particulate matter, which will have a negative impact on air quality. Therefore, earthquake disaster risk assessment studies are carried out to identify potentially hazardous areas and facilities in advance in order to reduce the air pollution problems that may be caused by earthquakes. Existing research on earthquake disaster risk assessment mainly evaluates earthquake risk from the perspective of geology or seismology, but there are few studies based on multidisciplinary assessment that integrates geology, seismology, engineering and social sciences into socioeconomic factors. To this end, based on remote sensing and GIS technology, this paper takes Qinghai Province, a seismically active area, as the research area, and integrates land use data, natural environment data, social environment data and seismic parameter zoning data to construct a comprehensive assessment model for earthquake disaster vulnerability and risk. The results showed that there were 5 very high-risk areas, 7 high-risk areas, 10 medium-risk areas, 11 low-risk areas and 12 very low-risk areas in Qinghai Province. The high-risk areas are mainly distributed in the central and western parts of Qinghai Province, where the earthquake breeding environment is sufficient, the scale of active faults is huge and the adaptability of the carrier is low. The results of an earthquake disaster risk assessment can provide a reference for the government to formulate environmental protection policies. According to the assessment results, the government can formulate targeted measures to strengthen air pollution control and improve air quality.

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Section: Validationmentioning

confidence: 99%

Section: Validationmentioning

confidence: 99%

Earthquake Risk Assessment in Seismically Active Areas of Qinghai Province Based on Geographic Big Data

Zhang,

Kang,

Wang

et al. 2024

Atmosphere

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“…China houses 12 Vajrasana Pagodas, with only the one at Miaozhan Temple constructed from stone, while the others combine bricks and stones [26]. Situated in Guandu District, Kunming City, Yunnan Province, the Vajrasana Pagoda in Miaozhan Temple was built in 1458 AD during the Ming Dynasty (Fig.…”

Section: Introduction To the Vajrasana Pagodamentioning

confidence: 99%

Study on the structural stability of the blistering of the Vajrasana pagoda in Miaozhan Temple, Kunming, Yunnan, China

Li,

Zhang,

Bao

et al. 2023

Herit Sci

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The Vajrasana pagoda is the only stone overturned-bowl pagoda among the 12 existing Vajrasana pagodas built during the Ming Dynasty in the Guandu District, Kunming City, Yunnan Province, China. The location of the Vajrasana pagoda is in an earthquake-active zone with high rainfall. The small towers on the upper side were damaged by an earthquake in 1696 AD. All the stone statues representing religious figures have blistered and may peel further due to external factors, such as sunshine and rainfall. To assess the structural stability of the blistering, we employed 3D laser scanning to record the building’s geometry over time. Subsequently, X-ray diffraction, thin section identification, and uniaxial compressive strength tests were conducted on the pagoda stone to reveal physical–mechanical properties. Finally, a finite element model was constructed to analyze stress and displacement in various scenarios. The results revealed: (1) Blistering on the pagoda stone is secure under self-gravity and heavy rainfall. (2) In an earthquake, the upper blistering near the junction of two sides may break. (3) A 3D color deviation model of blistering over 8 months showed peeling and bursting within the finite element simulation's predicted range. This research offers a fresh approach to stone tower preservation, shifting from reactive measures to proactive prevention and prediction. These methods and concepts hold relevance for stone towers in similar high-rainfall and earthquake-prone regions.

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“…For instance, a systematic examination of the correlations and links among various geophysical and geological determinants underlying disasters is useful for the prevention of socioeconomic risks in geologically unstable zones [13,14]. In earthquake analysis, the capability of predicting earthquake events, their magnitude, and their focal depth is highly desirable for real-time risk assessment [15,16].…”

Section: Introduction 1background and Motivationmentioning

confidence: 99%

Seismotectonics of Shallow-Focus Earthquakes in Venezuela with Links to Gravity Anomalies and Geologic Heterogeneity Mapped by a GMT Scripting Language

Lemenkova

Debeir

2022

Sustainability

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This paper presents a cartographic framework based on algorithms of GMT codes for mapping seismically active areas in Venezuela. The data included raster grids from GEBCO, EGM-2008, and vector geological layers from the USGS. The data were iteratively processed in the console of GMT, converted by GDAL, formatted, and mapped for geophysical data visualisation; the QGIS was applied for geological mapping. We analyzed 2000 samples of the earthquake events obtained from the IRIS seismic database with a 25-year time span (1997–2021) in order to map the seismicity. The approach to linking geological, topographic, and geophysical data using GMT scripts aimed to map correlations among the geophysical phenomena, tectonic processes, geological setting, seismicity, and earthquakes. The practical application of the GMT scripts consists in automated mapping for the visualization of geological risks and hazards in the mountainous region of the Venezuelan Andes. The proposed method integrates the approach of GMT scripts with state-of-the-art GIS techniques, which demonstrated its effectiveness as a tool for mapping spatial datasets and rapid data processing in an iterative regime. In this context, using GMT and GIS to find similarities between the regional earthquake distribution and the geological and topographic setting is essential for hazard risk assessment. This study can serve as a basis for predictive seismic analysis in geologically vulnerable regions of Venezuela. In addition to a technical demonstration of GMT algorithms, this study also contributes to geological and geophysical mapping and seismic hazard assessments in South America. We present the full scripts used for mapping in a GitHub repository.

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Assessment of strong earthquake risk in the Chinese mainland from 2021 to 2030

Cited by 13 publications

References 32 publications

Earthquake Risk Assessment in Seismically Active Areas of Qinghai Province Based on Geographic Big Data

Earthquake Risk Assessment in Seismically Active Areas of Qinghai Province Based on Geographic Big Data

Study on the structural stability of the blistering of the Vajrasana pagoda in Miaozhan Temple, Kunming, Yunnan, China

Seismotectonics of Shallow-Focus Earthquakes in Venezuela with Links to Gravity Anomalies and Geologic Heterogeneity Mapped by a GMT Scripting Language

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