Recent tectonics, geodynamics and seismotectonics in the Ninh Thuan Nuclear Power plants and surrounding regions, South Vietnam

Nguyễn-Văn, Hướng; Phong, Tran Van; Trinh, Phan Trong; Liem, Ngo Van; Thanh, Bui Nhi; Pham, Binh Thai; Bui, Dieu Tien; Bieu, Nguyen; Vinh, Hoang Quang; Xuyen, Nguyen Quang; Tuc, Nguyen Dang; Thom, Bui Van; Thuan, Nguyen Viet; Thao, Bui Thi Phuong; Phong, Lai Hop; Vinh, Vu Duy; Tân, Mai Thành; Hai, Vy Quoc; Lan, Nguyen Mai; Cường, Trần Quốc; Hang, Pham Thi Thu; Ha, Vu Van; Hoang, Cu Minh; Duong, Van-Hao; Son, Tong Phuoc Hoang

doi:10.1016/j.jseaes.2019.104080

Cited by 9 publications

(2 citation statements)

References 40 publications

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“…Vietnam in general and Nghe An in particular has been affected by different natural hazards such as flood, arsenic pollution [31], radiation hazard [32], erosion [33][34][35], sea level rise [36,37], earthquakes [38][39][40][41][42], volcanos [43,44], and landslides [45]. Nghe An province is in the North Central Coast region of Vietnam ( Figure 1).…”

Section: Description Of Study Areamentioning

confidence: 99%

A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping

Pham

Phong

Nguyen

et al. 2020

Water

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106

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Risk of flash floods is currently an important problem in many parts of Vietnam. In this study, we used four machine-learning methods, namely Kernel Logistic Regression (KLR), Radial Basis Function Classifier (RBFC), Multinomial Naïve Bayes (NBM), and Logistic Model Tree (LMT) to generate flash flood susceptibility maps at the minor part of Nghe An province of the Center region (Vietnam) where recurrent flood problems are being experienced. Performance of these four methods was evaluated to select the best method for flash flood susceptibility mapping. In the model studies, ten flash flood conditioning factors, namely soil, slope, curvature, river density, flow direction, distance from rivers, elevation, aspect, land use, and geology, were chosen based on topography and geo-environmental conditions of the site. For the validation of models, the area under Receiver Operating Characteristic (ROC), Area Under Curve (AUC), and various statistical indices were used. The results indicated that performance of all the models is good for generating flash flood susceptibility maps (AUC = 0.983–0.988). However, performance of LMT model is the best among the four methods (LMT: AUC = 0.988; KLR: AUC = 0.985; RBFC: AUC = 0.984; and NBM: AUC = 0.983). The present study would be useful for the construction of accurate flash flood susceptibility maps with the objectives of identifying flood-susceptible areas/zones for proper flash flood risk management.

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Section: Description Of Study Areamentioning

confidence: 99%

A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping

Pham

Phong

Nguyen

et al. 2020

Water

Self Cite

106

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“…The geological and tectonic features of the DGR location area are described in [20][21][22][23][24]. The time of the radiobiological hazard of HLRW exceeds ten thousand years, so the main focus is to assess and predict the geodynamic stability of a structural tectonic block containing HLRW.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Activity Index for Feature Engineering of Geodynamic Data for Safe Underground Isolation of High-Level Radioactive Waste

et al. 2022

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In this study, we developed a new approach for feature engineering in geosciences. The main focus of this study was feature engineering based on the implementation of the dynamic activity index (MDAI) as a function of the anomaly of the spatial distribution of data, using systems and discrete mathematical analysis. The methodology for calculating MDAI by groups, geomorphological variability, the density of tectonic faults, stress-strain state, and magnetic field anomalies, is presented herein for a specific area. A detailed analysis of the correlation matrix of MDAI revealed weak correlations between the development features. This showed that the considered properties of the geological environment are independent sets and can be used in the analysis of its geodynamic stability. As a result, it was found that most of the territory where high-level radioactive waste (HLRW) disposal is currently planned is in a relatively stable zone.

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Distribution of 210Po in body organs of bigeye scad and greater lizardfish species at Binh Thuan, Vietnam

Duong

Nguyen

et al. 2022

J Radioanal Nucl Chem

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Recent tectonics, geodynamics and seismotectonics in the Ninh Thuan Nuclear Power plants and surrounding regions, South Vietnam

Cited by 9 publications

References 40 publications

A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping

A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping

Dynamic Activity Index for Feature Engineering of Geodynamic Data for Safe Underground Isolation of High-Level Radioactive Waste

Distribution of 210Po in body organs of bigeye scad and greater lizardfish species at Binh Thuan, Vietnam

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