Article
Engineering, Geological
Ray Y. Chuang, Bing Sheng Wu, Hsiang-Chieh Liu, Hsin-Hua Huang, Chih-Heng Lu
Summary: Developing a nowcasting model for rapid assessment of coseismic landsliding is crucial for hazard mitigation in tectonically active mountain belts. The model developed in this study using logistic regression includes key variables such as PGA, topographic roughness, and lithology, and effectively estimates possible earthquake-triggered landslides. By using real-time PGA values, the model can facilitate a rapid emergency response based on potential landslide distributions in Taiwan.
ENGINEERING GEOLOGY
(2021)
Article
Geosciences, Multidisciplinary
Yi-Ying Wen, Chien-Chih Chen, Strong Wen, Wei-Tsen Lu
Summary: We investigated the temporal and spatial seismicity patterns prior to eight M > 6 events in different regions of Taiwan. Our findings indicate that the patterns of seismicity variations during the preparation phase of impending earthquakes are distinctive and correspond to tectonic settings. Q-type events in southern Taiwan experience seismic quiescence prior to the mainshock, while A-type events in central Taiwan undergo seismic activation before the mainshock.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2023)
Article
Engineering, Environmental
Muhammad Nasar Ahmad, Zhenfeng Shao, Rana Waqar Aslam, Israr Ahmad, Ming Liao, Xianyi Li, Yang Song
Summary: This study is based on two devastating earthquakes that occurred in Azad Kashmir and Muzaffarabad in 2005 and 2019. By identifying susceptible zones, creating landslide inventory maps, and using the Analytical Hierarchy Process model, the study provides information on landslide susceptibility and helps in future infrastructure planning and ecological protection.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2022)
Article
Engineering, Geological
Jin-Hung Hwang, Sara Khoshnevisan, C. Hsein Juang, Chih-Chieh Lu
Summary: This paper introduces an updated HBF method for evaluating the liquefaction potential of sandy soils, which involved re-examining and updating the original database created by Hwang and his colleagues, and updating the parameters of the HBF model through rigorous statistical methods. The new probabilistic version relates the factor of safety to the probability of liquefaction, providing design recommendations for engineering practice in Taiwan.
ENGINEERING GEOLOGY
(2021)
Article
Engineering, Geological
Zheng-Yi Feng, Yen-Rou Lu, Zhao-Ru Shen
Summary: When a coseismic landslide is triggered by an earthquake, seismic stations may record signals from both events, making it difficult to distinguish between the two. A numerical approach can help in separating these signals and studying the characteristics of seismic signals generated by the motion of coseismic landslides. This study proposed a dynamic numerical coupling approach using PFC and FLAC codes to simulate the seismic signals and behavior of coseismic landslides.
ENGINEERING GEOLOGY
(2021)
Article
Engineering, Civil
Annalisa Mele, Andrea Miano, Diego Di Martire, Donato Infante, Massimo Ramondini, Andrea Prota
Summary: The importance of considering multiple hazards in seismic safety assessments is highlighted in this study, which uses a case study of a RC building affected by both landslides and earthquakes. The results demonstrate the significance of conducting a multi-hazard evaluation.
ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING
(2022)
Article
Multidisciplinary Sciences
Pascal Lacroix, Theo Gavillon, Clement Bouchant, Jerome Lave, Jean-Louis Mugnier, Samir Dhungel, Flavien Vernier
Summary: In the days to weeks following an earthquake, landslides can exhibit specific post-seismic motions, such as delayed initiation and post-seismic relaxation. This study investigates the co- and post-seismic motions of slow-moving landslides accelerated by the Gorkha earthquake in Nepal. The study identifies 11 slow-moving landslides over an area of 750 km(2) and monitors their motions using satellite images. The post-seismic motions of the landslides are found to be much larger than the co-seismic ones, with a delayed initiation of several days observed in some landslides. The study suggests that the post-seismic motions may be caused by diffusion of groundwater or internal reconfiguration of the landslides.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Geological
Ming-Lang Lin, Cheng-Han Lin, Chien-Hung Li, Chun-Yuan Liu, Chien-Hui Hung
Summary: This study utilized 3D DEM simulation to analyze the impact of ground ruptures caused by the 1999 Chi-Chi earthquake on engineering structures. The results demonstrated the reliability and effectiveness of DEM analysis for hazard assessment.
ENGINEERING GEOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Pingheng Li
Summary: This study explores the pollution risk and resource utilization potential of vegetable waste on land resources through the analysis of remote sensing data and literature collection. By establishing a land use reference database and using geographical information system, key areas for controlling vegetable waste pollution are determined, and the possibility of waste utilization is compared. In addition, the study conducts a preliminary analysis of the causes and cumulative characteristics of polluted soil.
JOURNAL OF SENSORS
(2022)
Article
Engineering, Environmental
Jorge A. Salinas-Jasso, Juan C. Montalvo-Arrieta, Fernando Velasco-Tapia
Summary: This study aims to identify the spatial patterns of landslides triggered by the 2017 Puebla-Morelos earthquake in Mexico. Through visual interpretation of satellite imagery and media investigation, the researchers found that the distribution of landslides was controlled by lithology, peak ground acceleration, and rainfall accumulation.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2023)
Article
Chemistry, Multidisciplinary
Gaetano Pecoraro, Gianfranco Nicodemo, Rosa Menichini, Davide Luongo, Dario Peduto, Michele Calvello
Summary: This paper presents a procedure to assess the risk level of stretches of roads exposed to slow-moving landslides at the municipal scale. It proposes an analysis method that combines landslide susceptibility maps, a road-damage database developed using Google Street View images, and ground-displacement measurements from satellite SAR images. The results demonstrate the importance of integrating these different approaches and data to understand the behavior of slow-moving landslides affecting road networks.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Geological
Chi -Chin Tsai, Li-Ya Huang, Chia-Jeng Chen
Summary: This study investigates the magnitude of earthquake-induced groundwater level (GWL) changes and their correlations with seismic intensity, soil properties, and ground motion characteristics. The findings reveal that persistent GWL changes are highly correlated with peak ground acceleration and soil properties, while instantaneous GWL changes show a negative correlation with vertical ground motion velocity. This research provides valuable insights for understanding and predicting earthquake-induced GWL changes.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
(2023)
Article
Geochemistry & Geophysics
Ruei-Jiun Hung, Kuo-Fong Ma, Teh-Ru Alex Song, Yen-Yu Lin, Matthew Weingarten
Summary: This study examines the long-term anisotropy in the fault zone after the 1999 Chi-Chi earthquake using seismic data from the Taiwan Chelungpu-fault Drilling Project. The results show weak anisotropy in the shallow crust and fault healing over time, as well as seasonal variations in anisotropy correlated with rainfall events.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2022)
Article
Environmental Sciences
Svetlana Gantimurova, Alexander Parshin, Vladimir Erofeev
Summary: This article introduces the methodology and techniques of using UAV data for landslide research, and presents the results of landslide susceptibility assessment conducted in practical applications using an indirect heuristic approach in a GIS environment.
Article
Geochemistry & Geophysics
Jyun-Yan Huang, Chih-Hsuan Sung, Shu-Hsien Chao, Norman A. Abrahamson
Summary: Most ground-motion models (GMMs) do not include the radiation pattern, which leads to azimuthally varying source effects. We incorporate the far-field radiation pattern into GMMs for the Taiwan region and propose a model to combine the radiation pattern from the SH and SV components. Including the radiation patterns into GMMs improves estimates of 3D path effects from small-magnitude events.
BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA
(2023)
Article
Geosciences, Multidisciplinary
Ahmed M. Youssef, Ali M. Mahdi, Mohamed M. Al-Katheri, Soheila Pouyan, Hamid Reza Pourghasemi
Summary: The study aimed at creating a multi-hazard susceptibility map for the Hasher-Fayfa Basin in the Jazan region of Saudi Arabia. Machine learning algorithms were used to map the probabilities of landslides, floods, and gully erosion. The most accurate predictive models were determined using the area under the curve (AUC) evaluation, with FDA model performing best for landslides and RF model performing best for floods and erosion. A map of multi-hazard susceptibility showed that 66.5% of the area is prone to at least one hazard. Machine learning approaches are valuable for multi-hazard modeling and management.
JOURNAL OF AFRICAN EARTH SCIENCES
(2023)
Article
Environmental Sciences
Anjar Dimara Sakti, Tania Septi Anggraini, Kalingga Titon Nur Ihsan, Prakhar Misra, Nguyen Thi Quynh Trang, Biswajeet Pradhan, I. Gede Wenten, Pradita Octoviandiningrum Hadi, Ketut Wikantika
Summary: Air pollution has significant impacts on human life, causing three million deaths annually. This study developed a multi-air pollution risk index product using remote sensing data, considering hazard, vulnerability, and exposure analyses.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Meteorology & Atmospheric Sciences
Sunil Saha, Barnali Kundu, Anik Saha, Kaustuv Mukherjee, Biswajeet Pradhan
Summary: Drought is a natural and complex climatic hazard with consequences for both natural and socio-economic contexts. This study used deep learning algorithms to assess drought vulnerability and developed a drought vulnerability map (DVM) for the monsoon climate dominant region of West Bengal, India. The results show that nearly 24% of the study area is highly vulnerable to drought.
THEORETICAL AND APPLIED CLIMATOLOGY
(2023)
Editorial Material
Physics, Multidisciplinary
Irasema Alcantara-Ayala, Eric Josef Ribeiro Parteli, Biswajeet Pradhan, Sabatino Cuomo, Bianca Carvalho Vieira
FRONTIERS IN PHYSICS
(2023)
Article
Geosciences, Multidisciplinary
Hamid Reza Pourghasemi, Soheila Pouyan, Mojgan Bordbar, Foroogh Golkar, John J. Clague
Summary: Protection against natural hazards is crucial in land-use planning, especially in high-risk areas. This study used machine learning models to create multi-hazard susceptibility maps in Khuzestan Province, Iran, for floods, landslides, forest fires, and earthquakes. Factors such as elevation, slope degree, rainfall, and land use were considered in the models. The random forest model yielded the highest AUC values for forest fires, floods, and landslides, indicating its superior predictive capability.
Article
Geosciences, Multidisciplinary
Narges Kariminejad, Hamid Reza Pourghasemi, Mohsen Hosseinalizadeh, Mauro Rossi, Alessandro Mondini
Summary: In this study, the LANDPLANER model was used to predict the development of gully erosion in the Ghapan-Olya watershed in Golestan province, Iran. The results show that areas with an altitude of 200-300 meters, a slope of 15-30 degrees, southeast facing slopes, and low average accumulation values (< 100) are more prone to gully formation. Additionally, the highest soil erosion index was observed in the autumn scenario with 80 mm daily rainfall. This approach enables the simulation of gully erosion under changing conditions.
Review
Environmental Sciences
Mahyat Shafapourtehrany, Maryna Batur, Farzin Shabani, Biswajeet Pradhan, Bahareh Kalantar, Haluk Ozener
Summary: The level of destruction caused by earthquakes can be mitigated by preparedness measures. Geospatial technologies play a crucial role in earthquake research and disaster management, helping to predict occurrence, manage preparation levels, assess damage, and prioritize remedial actions. This review paper assesses the role of different geospatial data types, the application of geospatial technologies in each stage of an earthquake, and its use in hazard, vulnerability, and risk analysis.
Article
Forestry
Soumen Bisui, Biswajeet Pradhan, Sambhunath Roy, Debashish Sengupta, Gouri Sankar Bhunia, Pravat Kumar Shit
Summary: This study analyzes the forest dependency of rural households in West Bengal, India and examines the impact of forest proximity and market remoteness on their livelihood patterns. The findings indicate that forest income is crucial to household income, especially from fuel wood and non-timber forest products. Forest proximity is positively correlated with forest income, but remote villages have lower incomes due to limited market accessibility. This research highlights the potential of forests in rural livelihood development and poverty reduction.
SMALL-SCALE FORESTRY
(2023)
Article
Environmental Sciences
Babak Zolghadr-Asli, Mojtaba Naghdyzadegan Jahromi, Xi Wan, Maedeh Enayati, Maryam Naghdizadegan Jahromi, Mohsen Tahmasebi Nasab, John P. P. Tiefenbacher, Hamid Reza Pourghasemi
Summary: This study aims to reveal depletion patterns and potential causes of shrinking saline lakes through a comprehensive analytical framework and data mining techniques. The application of this framework on Maharlou Lake shows two types of depletion patterns related to climate change and anthropogenic drought.
Article
Environmental Sciences
Farzaneh Soltani, Saman Javadi, Abbas Roozbahani, Ali Reza Massah Bavani, Golmar Golmohammadi, Ronny Berndtsson, Sami Ghordoyee Milan, Rahimeh Maghsoudi
Summary: Assessing water resources status is crucial for long-term planning. This study focuses on evaluating the effects of climate change on water resources in the Shazand plain in Iran, which has experienced significant declines in streamflow and groundwater levels. The results predict a substantial decrease in river discharges and groundwater levels in this region under future climate conditions, emphasizing the need for sustainable management methods to mitigate these effects.
Correction
Geosciences, Multidisciplinary
Hamid Reza Pourghasemi, Soheila Pouyan, Mojgan Bordbar, Foroogh Golkar, John J. Clague
Article
Remote Sensing
Narges Kariminejad, Mohammad Kazemi Garajeh, Mohsen Hosseinalizadeh, Foroogh Golkar, Hamid Reza Pourghasemi
Summary: This study utilized multiple remote sensing satellites and unmanned aerial vehicles to calculate soil losses in the Loess Plateau of Iran. The results showed the importance of advanced technologies in accurately assessing soil erosion. The combination of UAV, Sentinel-2, and SPOT-6 data resulted in improved accuracy, making it a powerful approach for calculating soil loss in the region.
Review
Environmental Sciences
Abhasha Joshi, Biswajeet Pradhan, Shilpa Gite, Subrata Chakraborty
Summary: Reliable and timely crop-yield prediction and mapping are crucial for food security and decision making. Remote sensing data and deep learning algorithms have been effective tools for crop mapping and yield prediction. This study provides a thorough systematic review of the important scientific works related to state-of-the-art deep learning techniques and remote sensing in crop mapping and yield estimation.
Article
Engineering, Multidisciplinary
Smita Khade, Shilpa Gite, Sudeep D. Thepade, Biswajeet Pradhan, Abdullah Alamri
Summary: Contactless verification using iris biometric identification is effective in preventing the spread of infections like COVID-19. The study introduces a novel iris liveness detection approach using fragmental coefficients of Haar transformed iris images as signatures, which effectively prevents spoofing attacks. Multiple feature creation methods and machine learning classifiers are evaluated, achieving a high accuracy of 99.18%.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
(2023)
Review
Engineering, Multidisciplinary
Sneha Basak, Himanshi Agrawal, Shreya Jena, Shilpa Gite, Mrinal Bachute, Biswajeet Pradhan, Andmazen Assiri
Summary: This paper reviews the development journey of speech recognition systems and provides a modern approach to the topic. It presents a step-by-step rundown of the fundamental stages, discusses various modern-day developments and applications, and serves as a starting point for researchers in the field.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
(2023)
