Article
Geosciences, Multidisciplinary
Reshma T. Vilasan, Vijay S. Kapse
Summary: This study prepares flood susceptibility maps of Ernakulam district in Kerala by integrating remote sensing data, GIS, AHP, and fuzzy-AHP methods. The map, validated using the ROC curve method, provides useful information for raising awareness about flood risks and developing strategies to reduce flood hazards in the future. The map indicates that multiple factors contribute to flood occurrence in the district.
Article
Environmental Sciences
Guangpeng Wang, Lianyou Liu, Peijun Shi, Guoming Zhang, Jifu Liu
Summary: This study proposes a method for assessing the flood risk of metro systems, showing that high-risk areas of the Guangzhou Metro are concentrated in central urban areas. Recommendations for raising exits, installing watertight doors, and early warning strategies are suggested as measures to resist metro floods.
Article
Engineering, Environmental
Mohammed Moishin, Ravinesh C. Deo, Ramendra Prasad, Nawin Raj, Shahab Abdulla
Summary: The Flood Index (IF) was developed to investigate flood risk and provide a mitigation tool on a daily basis in Fiji, where both fluvial and pluvial floods are common. The IF methodology considers the impact of daily cumulative precipitation on flood events, gradually decreasing over time due to hydrological factors. Testing at 9 study sites in Fiji using 30-year precipitation datasets showed common flood events throughout the country, with the most severe events typically starting in January.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2021)
Article
Computer Science, Artificial Intelligence
Busra Buran, Mehmet Ercek
Summary: This study presents a business model canvas framework for public transportation organizations and evaluates the proposed model using fuzzy analytic hierarchy process method and two extensions. The results show that the internal environment is the most important criterion and IF-AHP and SF-AHP provide similar weight results.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Geosciences, Multidisciplinary
Preeti Ramkar, Sanjaykumar M. Yadav
Summary: This study developed a flood risk index map for data-scarce river basins by integrating Geospatial technique and Multiple Criteria Decision-Making Technique (MCDM), using Analytical Hierarchical Process (AHP) combined with Geographic Information System (GIS). The research identified high-risk areas based on natural flood hazard factors multiplied by highly vulnerable ones, and developed a flood hazard map considering factors like slope, distance from main river, land use, land cover, soil, drainage density and rainfall. The combination of AHP and GIS can be an alternative method for flood risk assessment and mapping in areas with limited data availability.
Article
Engineering, Industrial
Song-Shun Lin, Shui-Long Shen, Annan Zhou, Ye-Shuang Xu
Summary: This study introduces a novel fuzzy model to identify high-risk factors in urban karst geological environments, utilizing I-AHP and TOPSIS techniques. The model considers various factors, including geological conditions, monitoring data, and management quality, providing guidance for risk mitigation and accident reduction through construction measures. Case study results validate the model's effectiveness in identifying high-risk factors at different excavation stages.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Computer Science, Artificial Intelligence
Ali Karasan, Melike Erdogan
Summary: The study proposes a hybrid FMEA approach to improve risk management in the textile industry, using a multi-criteria decision-making method under the framework of fuzzy logic. By establishing a rule-based expert system, the method aims to provide efficient risk calculation for risk sources in the production processes.
COMPLEX & INTELLIGENT SYSTEMS
(2021)
Article
Environmental Sciences
Yong Wang, Nianhui Guan, Zihan Wang, Han Yan, Hongguang Chen
Summary: The construction of coal mine safety culture in China is still in the primary stage, especially in the evaluation of coal mine flood risk. The research on risk evaluation of coal mine flood is of great theoretical and practical significance. By using the AHP method, a comprehensive evaluation model of coal mine flood risk is constructed to ensure that the evaluation results reflect the actual safety situation accurately.
FRESENIUS ENVIRONMENTAL BULLETIN
(2021)
Article
Environmental Sciences
Chenghao Zhong, Qingchun Yang, Ji Liang, Hongyun Ma
Summary: This paper improves the fuzzy comprehensive evaluation for water quality by using AHP and Entropy, and develops a health risk assessment model based on triangular fuzzy theory. The study reveals that about 67% of phreatic water can be used for drinking purposes, with the main hydrochemical facies being NaCl type and Ca-Mg-Na type. Fluorine demonstrates moderate correlation with SO42- and low correlation with Na+ in health risk assessment. Children face higher health risks compared to adults, especially in regions with Class-5 water supplements having significantly elevated non-carcinogenic risks.
ENVIRONMENTAL RESEARCH
(2022)
Article
Public, Environmental & Occupational Health
Quynh Duy Bui, Chinh Luu, Sy Hung Mai, Hang Thi Ha, Huong Thu Ta, Binh Thai Pham
Summary: This study proposes a new approach that integrates machine learning models with the analytic hierarchy process (AHP) to develop a holistic flood risk assessment map. Using machine learning techniques, flood susceptibility maps were created, and AHP was used to combine flood vulnerability and exposure criteria. The study focuses on Quang Binh province in Vietnam and employs available data to construct training and testing datasets. The validation results demonstrate that the deep learning model performs the best with an AUC of 0.984.
Article
Engineering, Marine
Wen-Kai K. Hsu, Jun-Wen Chen, Nguyen Tan Huynh, Yan-You Lin
Summary: This study aims to discuss the risk assessment of navigation safety for ferries. The research begins by investigating the risk factors for ferry navigation safety from relevant literature and ferry operational features. A fuzzy AHP approach is then proposed to weigh these risk factors, and a continuous risk-matrix model is developed to determine their risk levels. Empirical investigation of ferries traveling across the Taiwan Strait is conducted to validate the practical application of the proposed model. The results provide practical information for ferry operators to improve safety performances and serve as references for related research in the safety management of short-distance passenger ships.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Water Resources
Adilah Anuar, Jazuri Abdullah, Nur Shazwani Muhammad
Summary: This study proposes a novel method to estimate flood susceptibility index based on topographical conditions using Multi Criteria Decision Making approach. It also establishes a risk classification by integrating flood inundation and damage, considering all paddy growth periods. The study provides new hydrological insights by including parameters unique to the specific location and paddy seed variety which have not been investigated in previous studies.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Multidisciplinary Sciences
Cheng Fang, Wei Zhou, Xinguo Liu, Hongxiang Ren, Jianjun Wu
Summary: This study developed a track evaluation model to assess the practical ability of crews during the navigation of a single ship. The model used sample information on a planar cloud chart and employed a track belt division method to address the problem of divergent track sampling clouds. The results demonstrated the effectiveness of the model and its consistency with expert evaluation results based on subjective information.
Article
Engineering, Industrial
Stefania Santoro, Vincenzo Totaro, Ruggiero Lovreglio, Domenico Camarda, Vito Iacobellis, Umberto Fratino
Summary: This study aims to assess citizens' flood risk perception and knowledge of protective measures in urban areas. The results suggest that flood risk perception depends on individuals' trust in public strategies and risk communication. The knowledge of protective measures is generally low, especially among teenagers.
Article
Multidisciplinary Sciences
Yongjie Shan, Shaokang Wei, Weili Yuan, Yuan Miao
Summary: In this paper, an indicator system for land ecological security evaluation was constructed based on 28 evaluation indicators selected from 5 dimensions using the DPSIR model. The land ecological security status of Shenzhen from 2009 to 2019 was evaluated, and the regional levels were determined using the TOPSIS evaluation model. The GM (1,1) model was used to predict the land ecological security system of Shenzhen from 2020 to 2025. The research showed that the land ecological security in Shenzhen needs improvement, although it has exhibited an overall increasing trend. Severe land ecological problems still exist.
