Modeling cyclone-induced multi-hazard risk assessment using analytical hierarchical processing and GIS for coastal West Bengal, India

Mondal, Manas; Haldar, Subrata; Biswas, Anupam; Mandal, Somnath; Bhattacharya, Subhasis; Sabatier, Paul

doi:10.1016/j.rsma.2021.101779

Cited by 29 publications

(12 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When category 4 and 5 villages are considered, 57 and 6 villages are discovered, indicating the nature of underdevelopment and severely asymmetrical backwardness that exists in this deltaic region of West Bengal. This research also reveals the nature of the backwardness hierarchy in the study area (Mondal et al, 2021;Sahana et al, 2019).…”

Section: Backwardness In a Single Frame And Reflect The Level Of Back...mentioning

confidence: 67%

“…Inside 100 km of waterfront regions, 23 per cent of all out people lives with different risks and such novel piece of earth's surface is the touchiest part as this region is living space of mangroves, wetlands, coral reefs (Alam et al 2017 ; Sahana et al, 2019 ). These bits of landmass face a couple of kinds of risks, for instance, storm and sriver flood, sea level rising, coastal embankment breaching, salinization with complex power during a decade ago (Mondal et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Socio-demographic backwardness in cyclone prone coastal villages: An Insight from Indian Sundarban

Mondal

Haldar

Biswas

et al. 2022

Saf. Extreme Environ.

Self Cite

View full text Add to dashboard Cite

The capability to design for, respond to, and recover from natural hazards is much influenced by demographic and socio-economic vulnerability of the region. Triggering effect of cyclone induced multi-hazards in the coastal areas of West Bengal, India makes the life and livelihood of people miserable. Very recent cyclones, like, Fani, Bulbul, Amphan and Yaas make people much more susceptible to hazard with the evil impact of on-going pandemic. According to IPCC, sensitivity and adaptive capacity analysis at micro level is taking much importance to address the readiness situation of the region. In this backdrop, the study aims to assess and map the level of demographic and socio-economic backwardness at village level for Kakdwip coastal area under coastal West Bengal, India. Applying principal component analysis we have tried to find out the level of demographic and socio-economic backwardness at different geographical locations (categorise as inland, riverine/ estuarine, coastal and island). The final findings suggest that backwardness is more prevalent in the southern part of the research region, with island and riverine/ estuary villages being particularly vulnerable. When the results have tries to find out the triggering factors at different geographical locations, female and child population, land holdings and earning of household came as the dominant factors for such higher degree of backwardness. These findings, when combined with micro level assessments, could help village administrators, planners and policymakers, and emergency managers design more effective and spatially tailored backwardness management plans.

show abstract

Section: Backwardness In a Single Frame And Reflect The Level Of Back...mentioning

confidence: 67%

Section: Introductionmentioning

confidence: 99%

Socio-demographic backwardness in cyclone prone coastal villages: An Insight from Indian Sundarban

Mondal

Haldar

Biswas

et al. 2022

Saf. Extreme Environ.

Self Cite

View full text Add to dashboard Cite

show abstract

“…23) The main idea is to figure out how to put together the SQE model based on the online detection findings of surface defects in HMP. Analytic hierarchy process (AHP) models, a multi-criterial decision making (MCDM) method, 24) were widely used in banks, manufacturing systems, operators' evaluation, software evaluation, website performance evaluation, strategy selection, supplier selection, organizational performance evaluation, staff recruitment, construction method selection, warehouse selection, technology evaluation, route planning, project selection, and customer requirement rating, [25][26][27][28][29] surface water absorption test. 30,31) The practice of evaluating quantitative and qualitative criteria and alternatives on the same preference scale is the primary advantage of AHP.…”

Section: Surface Quality Evaluation Of Heavy and Medium Plate Using A...mentioning

confidence: 99%

Surface Quality Evaluation of Heavy and Medium Plate Using an Analytic Hierarchy Process Based on Defects Online Detection

Zhou

Zhang³

et al. 2022

ISIJ Int.

View full text Add to dashboard Cite

Heavy and medium plate (HMP) is a valuable and irreplaceable material that is widely used in pipelines, bridges, ships, building construction, and power plants. The quality of a plate's surface is closely related to its strength, hardness, and corrosion resistance. HMP is still trimming to length after the continuous casting process. The goal of this research is to evaluate surface quality quickly by combining online detection information of normal and periodic defects with professional quality control skills. To begin, this study creates a set of assessment criteria for HMP surface quality based on length, total defect area, and total area of various types of surface defects on the plate. The analytic hierarchy process (AHP) is then developed to identify based on the operator's experience and expert knowledge, the weights of the classified defects are then determined using the analytic hierarchy process (AHP). Finally, the evaluation grades for each plate may be calculated. The evaluation findings may benefit not only in improving production efficiency, lessening labor intensity, and reducing waste caused by cutting to length, but also in boosting the intelligent control capability of the HMP manufacturing technique.

show abstract

“…It was rst developed by Saaty (1977) for setting priority and effective decision making. At present, AHP is comprehensively applied in sociological research and explicitly in peril and hazard analysis (Mondal et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Flood Prediction and Risk Assessment at the South-western Region of Bangladesh

Meraz

Hossain

Sultana

et al. 2022

Preprint

View full text Add to dashboard Cite

Although Bangladesh has been experiencing frequent flooding that has made colossal damages to lives and properties, overseeing floods remains a difficult task. Due to the complexity, scale, and multidisciplinary nature of flood management, it is a multisectoral activity. Khulna and Satkhira districts, located in the south-western region of Bangladesh, are considered as one of the most vulnerable areas to flooding due to their economic potential, demographic makeup, and adaptive capacity of the population. This research focused on finding the most vulnerable areas to flooding for each polder within the study area. Water level data from fourteen stations of seven rivers (Sibsa, Rupsa-Pasur, Kobadak, Bhadra, Kobadak, Ichamati (Western Border), Betna-Kholpetua, and Satkhira Khal) were analyzed to calculate water levels for 2, 5, 10, 25, and 100-year return period applying normal distribution, Extreme Value Type-I (EV-I), and Log Person Type- III (LP-III) distribution methods. The EV-I distribution method was showing the best fit. The study revealed that station SW243 (Rupsa-Pasur river) in the Dacope region has the most extreme water level, station SW259 (Sibsa river) has the second-highest water level, and station SW254.5 (Satkhira Khal) in Satkhira Sadar has the third-highest water level for the return period of 100 years. A flood inundation map was prepared using the EV-I method's 10-year return period value. The Analytic Hierarchy Process (AHP) was used to demonstrate the polders' vulnerability depending on several factors. Overall, polder15 (Ghubra, Satkhira) is the most vulnerable polder, while polder 33 and polder 32 respectively are the second and third most vulnerable polders for flooding, both located in the Dacope region.

show abstract

Modeling cyclone-induced multi-hazard risk assessment using analytical hierarchical processing and GIS for coastal West Bengal, India

Cited by 29 publications

References 57 publications

Socio-demographic backwardness in cyclone prone coastal villages: An Insight from Indian Sundarban

Socio-demographic backwardness in cyclone prone coastal villages: An Insight from Indian Sundarban

Surface Quality Evaluation of Heavy and Medium Plate Using an Analytic Hierarchy Process Based on Defects Online Detection

Flood Prediction and Risk Assessment at the South-western Region of Bangladesh

Contact Info

Product

Resources

About