Article
Environmental Studies
Quanlong Liu, Yumeng Peng, Zhiyang Li, Pan Zhao, Zunxiang Qiu
Summary: The Root-State Hazard Identification (RSHI) method proposed in this paper comprehensively identifies hazards associated with underground coal mine risk management. This method is simple and convenient, reducing the need for joint identification and coordination among various types of workers.
Article
Engineering, Environmental
July Bias Macedo, Marcio das Chagas Moura, Diego Aichele, Isis Didier Lins
Summary: The study proposes a method using text mining and BERT models to support the early stages of QRA for identifying and evaluating potential consequences of accidents in oil refineries. Applied to an actual refinery, it yielded very promising results.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2022)
Article
Environmental Sciences
Saman Javadi, Seied Mehdy Hashemy Shahdany, Aminreza Neshat, Antonio Chambel
Summary: This study proposes a new method for establishing a multi-parameter risk mapping using the K-Means clustering technique. It assesses the contamination potential of arsenic, nitrate, and total dissolved solids in an aquifer based on land use types. By employing fuzzy C-means clustering, pollution occurrence probability was calculated. The results show that areas with extensive industrial and agricultural activities have higher contamination levels and that about 70% of the high-risk contamination areas are occupied by industrial and agricultural land uses.
GEOCARTO INTERNATIONAL
(2022)
Article
Geosciences, Multidisciplinary
Baoyin Liu, Xueyuan Han, Lianjie Qin, Wei Xu, Jie Fan
Summary: This study established a hybrid multi-hazard risk assessment methodology that calculates the risk caused by natural and technological hazards in a three-step process. Applied in Huairou Science City (HSC), Beijing, it was found that the joint action of earthquake and liquid ammonia leakage is the main reason for the high risk in the central area of HSC.
GEOMATICS NATURAL HAZARDS & RISK
(2021)
Article
Engineering, Industrial
Chen Junfeng, Zhong Maohua, Qiu Peiyun, Long Zeng, Chen Jiacheng
Summary: This study defines a Risk Index to evaluate the fire risk level of large buildings. A map-based method is used to analyze different fire scenarios and validate the results using a subway station platform as a case study. The findings demonstrate that the method provides accurate assessment of fire risk distribution and offers flexible evacuation strategy recommendations.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Environmental Sciences
Elham Rafiei Sardooi, Ali Azareh, Tayyebeh Mesbahzadeh, Farshad Soleimani Sardoo, Eric J. R. Parteli, Biswajeet Pradhan
Summary: Accurate modeling of landslide risk is crucial for the development of effective strategies, and a hybrid model utilizing data mining and multi-criteria decision-making methods has been applied in Golestan Province, Iran. Machine learning algorithms were used to map landslide probability, which indicated a strong correlation with human-environmental factors in the region. The results provide insights for quantitative modeling of landslide risk and priority planning for landslide risk management.
ENVIRONMENTAL EARTH SCIENCES
(2021)
Article
Environmental Sciences
Ata Allah Nadiri, Marjan Moazamnia, Sina Sadeghfam, Rahim Barzegar
Summary: This study aims to reduce the subjectivity associated with land subsidence mapping caused by groundwater over-abstraction by combining multiple criteria decision-making and artificial intelligence methods in Iran's Tasuj plain. The results highlight hotspots of hazard, vulnerability, and risk, with intrinsic vulnerability being the main cause of land subsidence, while hazard plays a triggering role in risk realization.
Article
Business
Ahmed Gondia, Ahmed Moussa, Mohamed Ezzeldin, Wael El-Dakhakhni
Summary: In the construction industry, there has been little improvement in injury statistics in the last decade. The current reactive management strategies need to be replaced with proactive safety management approaches that rely on leading indicators. This study aims to develop site risk models that can predict leading indicators of safety risk and enhance safety performance in construction projects through machine learning algorithms.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Article
Environmental Sciences
Ravi Kumar, Manish Kumar, Akash Tiwari, Syed Irtiza Majid, Sourav Bhadwal, Netrananda Sahu, Ram Avtar
Summary: This study assesses the susceptibility to riverine flooding in India and creates a susceptibility map using multicriteria decision making and geographic information system. The study identifies proximity to rivers, drainage density, and mean annual rainfall as the key factors contributing to riverine floods in India. The highest susceptibility zones are found in the Brahmaputra, Ganga, and Indus River basins, posing a potential risk to India's food security. The research findings provide valuable information for policymakers and urban planners to reduce flood risks effectively.
Article
Engineering, Industrial
Pablo Martinez-Galan Fernandez, Antonio J. Guillen Lopez, Adolfo Crespo Marquez, Juan Fco Gomez Fernandez, Jose Antonio Marcos
Summary: This paper proposes a practical method for dynamic maintenance planning based on Dynamic Risk Assessment (DRA). The method analyzes the impact of monitoring events and maintenance activities on failure risk and enables dynamic programming and management of maintenance decision making. It not only helps optimize maintenance management but also integrates with global risk management and modern asset management principles.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Environmental
Youlong Chen, Zhenming Sun, Yunbing Hou, Dong Gao, Zhongxue Li
Summary: This article focuses on the production safety of electrolytic aluminum industry in China and proposes a two-dimensional hazard classification method and an evidence-based hazard identification framework. It also constructs a process-oriented hazard evolution and risk control method system.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2022)
Article
Environmental Sciences
Ahmed M. Youssef, Hamid Reza Pourghasemi, Ali M. Mahdi, Saleh S. Matar
Summary: In this study, various models and parameters were used to assess flood vulnerability in the Taif catchment area of Saudi Arabia. By creating flood susceptibility maps and integrating them with topographic information, a suitability map was generated to aid in land use planning. The results provide valuable insights for engineers and authorities to reduce flood hazards in the area.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Review
Engineering, Industrial
Ran Liu, Hu-Chen Liu, Hua Shi, Xiuzhu Gu
Summary: This research provides a comprehensive and systematic review of occupational health and safety risk assessment studies, proposing models and approaches for evaluating and prioritizing the risk of occupational hazards. A bibliometric analysis is conducted to reveal research hotspots and future trends in the field. This research offers valuable information for scholars and practitioners to effectively assess the risk of occupational hazards using occupational health and safety risk assessment models.
Review
Engineering, Environmental
Dandan Wang, Wanghua Sui, James F. Ranville
Summary: Evaluation of water inrush risk is crucial in deep coal mining. This paper provides a comprehensive review of hazard identification and classification systems for mine water inrush. The research includes empirical analysis, statistical analysis, and case studies. The results emphasize the importance of historical information and experiences in hazard identification.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2022)
Article
Geosciences, Multidisciplinary
A. Novellino, M. Cesarano, P. Cappelletti, D. Di Martire, M. Di Napoli, M. Ramondini, A. Sowter, D. Calcaterra
Summary: This study presents a novel methodology integrating machine learning algorithms to assess landslide risk for slow-moving mass movements. By analyzing InSAR data, it identifies fifteen slow-moving phenomena traceable since 1955, with seven currently active landslides characterized by seasonal velocity patterns. This new methodology offers a different landslide risk scenario compared to existing official documents and provides insights on developing landslide risk management strategies worldwide.
Article
Environmental Sciences
B. K. Bindhu, G. Madhu
ENVIRONMENTAL TECHNOLOGY
(2017)
Article
Engineering, Industrial
Tiju Baby, G. Madhu, V. R. Renjith
Summary: A research survey conducted in a large public sector electrical utility in Kerala, India, analyzed the correlation between personal factors, safety climate factors, and health conditions of workers, validating six research hypotheses and emphasizing the importance of safety participation, safety knowledge, and safety training in reducing personal issues in the workplace.
Article
Ergonomics
Tiju Baby, G. Madhu, V. R. Renjith
Summary: The study found that safety climate and personal factors play significant roles in workplace safety. Emphasizing safety participation, knowledge, training, and interventions are crucial in reducing personal issues in the workplace. These findings provide valuable insights for safety professionals in implementing novel methods to ensure workplace safety.
INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS
(2022)
Article
Chemistry, Physical
Kishore Ravindran, G. Madhu, V. R. Renjith, Sreekala Rugmini
Summary: Selective hydrogenation of acetylene was studied using palladium catalysts supported on different transition alumina spheres. The catalyst prepared on gamma-Al2O3 support showed the highest conversion and lowest selectivity, whereas the catalyst on alpha-Al2O3 support has the lower conversion and highest selectivity. Thermogravimetric analysis coupled with mass spectroscopy analysis were done for the spent catalyst to understand the possibilities of heavy component deposition of the catalyst.
REACTION KINETICS MECHANISMS AND CATALYSIS
(2021)
Article
Chemistry, Multidisciplinary
Ejjas Ahammed, A. R. Soman, B. Gopakumar, V. R. Pramod, G. Madhu
Summary: Fault Tree Analysis (FTA) is a promising quantitative technique for risk analysis in chemical process industries (CPIs). However, the conventional FTA has limitations of staticity and uncertainty. This paper proposes an innovative methodology that uses a time-dependent covariate model to update the failure probability values of major contributing basic events in FTA. The methodology is applied in a case study of a chlorine manufacturing facility.
JOURNAL OF THE INDIAN CHEMICAL SOCIETY
(2022)
Proceedings Paper
Materials Science, Multidisciplinary
P. J. Salini, G. Madhu, Renu Pawels
Summary: A large number of vehicle wash centres in Kerala, India generate a huge amount of wastewater, but most of them lack treatment facilities, resulting in untreated discharge and serious pollution. This study successfully treated vehicle wash wastewater using the Fenton process, making it reusable.
MATERIALS TODAY-PROCEEDINGS
(2022)
Proceedings Paper
Materials Science, Multidisciplinary
R. Deepa, G. Madhu, Roy M. Thomas
Summary: This study compared the efficacy of different advanced oxidation methods in removing Mefenamic acid from aqueous solution, showing that Photo Fenton process achieved the highest removal efficiency among the four methods studied.
MATERIALS TODAY-PROCEEDINGS
(2021)
Article
Engineering, Chemical
P. N. Mary Lissy, G. Madhu, Roy M. Thomas
Summary: The bed height has an impact on the efficiency of Cu2+ ion removal, as increasing the bed height can increase the breakthrough time and removal rate; higher flow rate leads to faster saturation and decreased adsorption intake; decreasing inlet concentration prolongs breakthrough time, indicating more solution can be treated.
DESALINATION AND WATER TREATMENT
(2021)
Proceedings Paper
Engineering, Mechanical
B. Indulakshmi, G. Madhu
RECENT ASIAN RESEARCH ON THERMAL AND FLUID SCIENCES, AJWTF7 2018
(2020)
Article
Multidisciplinary Sciences
Reshma Unnikrishnan, G. Madhu
SN APPLIED SCIENCES
(2019)
Article
Engineering, Chemical
Sananth H. Menon, G. Madhu, Jojo Mathew
INTERNATIONAL JOURNAL OF CHEMICAL ENGINEERING
(2019)
Article
Environmental Sciences
Puthenkattil Abdukunji Fasnabi, Gopal Madhu, Pooppana Antony Soloman
ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL
(2019)
Article
Thermodynamics
B. Indulakshmi, G. Madhu
HEAT TRANSFER-ASIAN RESEARCH
(2018)
Article
Chemistry, Applied
K. S. Padmavathy, Amith Murali, G. Madhu, Deepak Kumar Sahoo
INDIAN JOURNAL OF CHEMICAL TECHNOLOGY
(2017)
Article
Engineering, Chemical
Chao Chen, Hang Chen, Li Mo, Shenbin Xiao, Changjun Li, Ming Yang, Genserik Reniers
Summary: Fire-induced domino effect is a major threat to hazardous material storage tanks. Previous research neglected the impact of wind load on the thermal buckling behavior of tanks exposed to fire. This paper conducts a numerical simulation to analyze the synergistic effects of fire and wind loads on the thermal post-buckling behavior of storage tanks, considering wind parameters and heat radiation parameters.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2024)
Article
Engineering, Chemical
Zhang Chu, Liu Lili, Li Wei, Li Beibei, Liu Mingxing
Summary: This study predicts the fatigue life of blasting discs using a combined simulation method and measures the deformation of conventional slotted blasting discs subjected to repeated loading using a high-precision laser scanning method. A relationship model is established between deformation, loading pressure, cycle number, and change in blasting pressure. The results show that the deformation varies linearly with the cycle number and follows a power function relationship with the change in blasting pressure. The deformation can be used to accurately predict the fatigue life of blasting discs.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2024)
Article
Engineering, Chemical
Shin-Mei Ouyang, Jia-Chi Ye, Wei-Chun Chen, Yu-Jen Chen, Chin-Feng Chen
Summary: This study employed the Taguchi method and analysis of variance to investigate the factors that influence the deterioration of pyrotechnics when stored under different humidity and temperature conditions. Various experimental methods were used to study the microstructure, heat flow, and safety of the pyrotechnics. The results showed that humidity had a significant impact on the pyrotechnics, and controlling humidity could reduce the hazards associated with storing pyrotechnics.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2024)
Article
Engineering, Chemical
Bei Li, Huiqiang Liu, Heng Gao, Chi-Min Shu, Mingshu Bi
Summary: The moisture content sprayed into the dust layer in industrial sites is a main factor affecting reignition. The study found that moisture has a certain influence on the thermophysical properties of the dust layer, playing an important role in heat transfer and heat absorption processes. The results showed that as the moisture content increased, the thermal conductivity and heat sink density of the sample increased, indicating the need to have a heat sink density higher than the heat increase value to suppress ignition.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2024)
Article
Engineering, Chemical
Yue Jing, Yong Pan, Fan Yang, Dan Wei, Wenhe Wang
Summary: A comprehensive risk assessment method for the esterification process was proposed in this study. It established a comprehensive evaluation index system and utilized improved Dempster-Shafer evidence theory and cloud model for assessment. The method was validated through case studies and showed consistency with established indexes.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2024)