Risk assessment of geohazards along Cheng-Kun railway using fuzzy AHP incorporated into GIS

Zheng, Qinfen; Lyu, Hai‐Min; Zhou, Annan; Shen, Shui‐Long

doi:10.1080/19475705.2021.1933614

Cited by 56 publications

(19 citation statements)

References 41 publications

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“…Compared to the traditional AHP, the TFN-AHP applies the fuzzy set theory [67]. In applications, the TFN-AHP used triangular fuzzy numbers instead of the crisp numbers in the judgment structure matrix to express the importance degree between factors [68].…”

Section: Triangular Fuzzy Number-based Ahp (Tfn-ahp)mentioning

confidence: 99%

Dynamic Assessment of the Flood Risk at Basin Scale under Simulation of Land-Use Scenarios and Spatialization Technology of Factor

Liu

Wang

Xiong

et al. 2021

Water

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Climate change, population increase, and urban expansion have increased the risk of flooding. Therefore, accurately identifying future changing patterns in the flood risk is essential. For this purpose, this study elaborated a new framework for a basin scale that employs a future land-use simulation model, a factor spatialization technique, and a novel hybrid model for scenario-based flood risk assessment in 2030 and 2050. Three land-use scenarios (i.e., natural growth scenario, cropland protection scenario, and ecological protection scenario) were set and applied in Jinjiang Basin to explore the changes in future flood risk under these scenarios. The results indicate the different degrees of increase in flood risk that will occur in the three scenarios. Under the natural growth (NG) scenario, the city will expand rapidly with the growth of population and economy, and the total area with high and very high flood risk will increase by 371.30 km2 by 2050, as compared to 2020. However, under the ecological protection (EP) scenario, woodlands will be protected, and the growth in population, economy, and built-up lands will slow down with slightly increased risk of flooding. In this scenario, the total area with high and very high flood risk will increase by 113.75 km2 by 2050. Under the cropland protection (CP) scenario, the loss of croplands will have been effectively stopped, and the flood risk will not show a significant increase under this scenario, with an increase by only 90.96 km2 by 2050, similar to the EP scenario. Spatially, these increased flood risks mainly locate at the periphery of existing built-up lands, and the high-flood-risk zones are mainly distributed in the southeast of the Jinjiang Basin. The information about increasing flood risk determined by the framework provides insight into the spatio-temporal characteristics of future flood-prone areas, which facilitates reasonable flood mitigation measures to be developed at the most critical locations in the region.

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Section: Triangular Fuzzy Number-based Ahp (Tfn-ahp)mentioning

confidence: 99%

Dynamic Assessment of the Flood Risk at Basin Scale under Simulation of Land-Use Scenarios and Spatialization Technology of Factor

Liu

Wang

Xiong

et al. 2021

Water

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“…More risk assessments are significant, especially for buildings that are more than 20 years old. In view of the current defects in the management of old (more than 20 years old) buildings, it is necessary to put forward a set of risk assessment methods for old buildings, including subjective methods [35,36] and objective methods [37][38][39][40][41][42][43]. These methods have been successfully used in many other areas such as environment protection, construction safety, and geological disaster prediction [44][45][46][47][48][49].…”

Section: Technology Aspectmentioning

confidence: 99%

A Brief Report of Hotel Collapse Causing Casualties in Suzhou, China

Chen

Njock

Zhao

2021

Safety

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The collapse of a 30-year-old hotel building in Suzhou, Jiangsu Province on 12 July 2021 raised legitimate questions about the identification of old buildings’ condition and risks stemming from remedial operations. This short communication reports and investigates the causes of this accident, which led to 17 deaths and 5 injuries. Subsequently, it describes the rescue actions undertaken, including logistic means, operational strategies, and procedure sequencing. The causes of the accident were attributed to: (i) the poor quality and fragility of the building, (ii) illegal renovations and extensions, as well as (iii) the laxism of relevant departments that failed to timely check the risk level of the building before these renovations. Thanks to efficient organization and management, the rescue operations were completed within 42 h. Based on this preliminary analysis, some recommendations are proposed to prevent similar incidents in the future.

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“…Kardani et al [3] used the finite element method (FEM) to simulate slope stability and generate synthetic data for the training of the optimized machine learning methods (OML) that were employed to predict slope stability on the testing dataset. Zheng et al [4] proposed the triangular fuzzy number and the analytic hierarchy process method with GIS that effectively predicted the distribution of geo-hazard risk in the study region along the Chengdu-Kunming railway, southwestern China, generated from case studies within the past ten years.…”

Section: Introductionmentioning

confidence: 99%

Some Approaches to the Prediction of Permeability Parameters in a Finite Element Program for Early Warning

Mahannopkul

Kanjanakul

2022

Civ Eng J

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Recently, landslides often occurred in natural soil slopes in the tropical region, which correlate with the rainy season. Rainfall infiltration leads to groundwater level fluctuations. The increased positive pore-water pressures due to rainfall influence have affected the properties and behavior of the unsaturated soil slope. In this research, the Finite Element Method of SEEP/W and SLOPE/W analyzes the factor safety of the slope affected by pore water pressure change due to rainfall. The Soil Water Characteristic Curve (SWCC) and Hydraulic Conductivity function were obtained from sieve analysis and Atterberg's limit. In addition, unsaturated soil properties from the UNSODA code are estimated based on grain-size distribution using the SWRC program. The study area is in Khanom District, southern Thailand. The results show that the soil slope at the site became unstable on November 18, 2021, with F.S. = 1.0, which agrees well with the date of the disaster. In conclusion, the slope stability analysis without the parameters from the unsaturated soil hydraulic database (UNSODA) leads to the F.S. value being higher than the actual value, and the alarm estimation would be inaccurate. Doi: 10.28991/CEJ-2022-08-12-014 Full Text: PDF

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Risk assessment of geohazards along Cheng-Kun railway using fuzzy AHP incorporated into GIS

Cited by 56 publications

References 41 publications

Dynamic Assessment of the Flood Risk at Basin Scale under Simulation of Land-Use Scenarios and Spatialization Technology of Factor

Dynamic Assessment of the Flood Risk at Basin Scale under Simulation of Land-Use Scenarios and Spatialization Technology of Factor

A Brief Report of Hotel Collapse Causing Casualties in Suzhou, China

Some Approaches to the Prediction of Permeability Parameters in a Finite Element Program for Early Warning

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