Disaster-induced migration types and patterns, drivers, and impact: A union-level study in Bangladesh

Chumky, Tahmina; Basu, Mrittika; Onitsuka, Kenichiro; Parvin, Gulsan Ara; Hoshino, Satoshi

doi:10.1016/j.wds.2022.100013

Cited by 10 publications

(4 citation statements)

References 80 publications

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“…Apart from this on the other hand it also faces various environmental challenges such as SLR, saline intrusion, loss of coastal landforms due to shoreline changes especially because of coastal erosion, declining sediment load, saline intrusion, contamination of coastal aquifer due to hasty alteration in LULC persuaded by climate change (Hentry et al 2010;Kaliraj et al 2017). The Kanyakumari district has a total of 17 coastal villages that are encompassed in three taluks viz., Agasteeswarm (7), Kalkulam (4), and Killiyoor (6). There are 14 different LULC feature classes viz., aqua pond, barren land, coconut plantation, creek/river, farmland, harbor/jetty, human settlement with plantation, mangrove forest, mining, open jungle, pond/lake, rocky shore, salt pan and sandy beach in the study area.…”

Section: Resultsmentioning

confidence: 99%

Implications of sea-level rise on the coastal villages of Kanyakumari District, Tamil Nadu, India: A geospatial perspectives

Veeran,

Swornamma,

Balasubramaniyan

2024

Preprint

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It’s a realistic approach with the coastline geometry of the sea level rise by statistical analysis of aerial data and concludes with the coastal elevation effects on the different segments of the coastal regions at the village level in Kanyakumari district in Tamil Nadu, India. The physical responses of the coastal zones to extract the coastal landforms of Kanyakumari, India by the comprehensive analysis of inundation scenarios, can find out the risk factors of relative sea level rise. The study area was encompassed into three taluks (Agastheeswaram, Kalkulam, and Killiyoor) and derived into 17 revenue coastal villages for the Land use /Landover (LU/LC) prepared from the satellite imagery with the digital elevation model, The sea level rise scenarios were generated into four class, such as very high (-2m to 0m), high (0m to 0.5m), moderate (0.5m to 1.0m), and low (1.0m). Among the three taluks in the study area, the Agastheeswaram taluk will be inundated 1132.23 ha (10.76%) of the coastal area and Killiyoor taluk will be inundated 327.99 ha (5.39%) of the coastal area are under immediate risk of 0.5m rise in sea-level. Overall, this study exposed significant increases: more than 17% of the coastal population living in the Low Elevation Coastal Zone of the Kanyakumari coast will be exposed to future sea level inundation.

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Section: Resultsmentioning

confidence: 99%

Implications of sea-level rise on the coastal villages of Kanyakumari District, Tamil Nadu, India: A geospatial perspectives

Veeran,

Swornamma,

Balasubramaniyan

2024

Preprint

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“…Further, more frequent occurrences of rapid events could force people in coastal regions and on small islands to permanently migrate, but their migration decision is often constrained by the ability to move and social institutions. For example, social, demographic and physical drivers are perceived to drive migration in areas of Bangladesh where rapid events, such as coastal floods and cyclones, are dominating hazards as they often result in crop failures (Chen & Mueller, 2018; Chumky et al, 2022; Gray & Mueller, 2012a). Extreme rainfall events are not always the causes of migration in Bangladesh, but recurrent events such as coastal flooding have triggered massive permanent population mobility in the country's coastal provinces (Carrico & Donato, 2019), as similarly evidenced in Vietnam (Jäger et al, 2009).…”

Section: Global Patterns Of Water‐driven Human Migration: Evidence Sy...mentioning

confidence: 99%

Global patterns of water‐driven human migration

Famiglietti

2023

WIREs Water

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Environmental change is growingly reported as an important driver of human migration. Among all environmental variables, water crises are the most critical factors. To date, patterns of interconnections between changes in water and migration are not yet clearly understood. Here, we explore these patterns through a systematic review that combined a quantitative text‐mining approach with qualitative thematic analysis. Our results generally concur with those of previous studies, which found that water‐driven migration usually occurs internally and that the population in low‐ and middle‐income countries and in dry regions are the most vulnerable and more likely to migrate or be displaced in the face of water‐related events. However, our causal network analysis highlights that water is not the only reason for migration: Its related problems could be major triggers driving people‐at‐risk to leave their original place. Based on observed evidence, water‐driven migration can be generally divided into four patterns: variability in water quantity, damaging water hazards and extremes, physical disturbances to water systems, and water pollution. These patterns are not independent but interconnected through multifaceted factors affecting people's livelihoods and their decisions to migrate. Understanding water‐migration dynamics requires systematic thinking of the interconnections between changes in water and in migration patterns, the investigation of interactions between fast and slow water variables and their dynamic link to other socioeconomic variables, an integrated water‐migration database to help identify early‐warning signals of damaging water hazards that may result in undesirable migration, and targeted water policies that focus on building the resilience of vulnerable regions and population to climate change. This article is categorized under: Human Water > Value of Water

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“…You can copy and paste a specific diagram into a memo or export it as an image file if you wish to retain it. What are some purposes for comparison diagrams, Comparison charts can help you see: which sources were codified at which nodes, when the same subject has been discussed in two cases (Alcoforado & Dos Reis, 2020;Chumky et al, 2022;Sotiriadou et al, 2014).…”

Section: Relating To Comparison Diagram (Charts)mentioning

confidence: 99%

Company Policy Model on Products and Services in the Implementation of After Sales Services in Indonesia

Teruna,

Ardiansyah

2023

bijak

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After-sales service is a key part of maintaining and increasing customers for companies, both for products and services, but the problem is that it is very complicated to maintain, let alone increase customers. The problems that arise are classic problems in the form of company illnesses in the form of service quality, product non-conformities, stock and delivery, employee training, IT systems and technology, and internal coordination for changes in technology and products. The aim of this research is to find out from the informants what the most dominant key words are that are often mentioned by the informants and how to compare gender and type of company in producing the most dominant variables for after-sales service. This is qualitative research with a phenomenological approach. Phenomenologists describe the main points of each informant's life experiences. Phenomenologists describe in detail from informants where the informants feel a phenomenon. The sample determined that five informants had expertise in their fields, as proven by their top positions in their companies. The analysis of this research was assisted by qualitative tools from Nvivo 12, and there is no doubt about international evidence, especially in data testing or analysis tests. The research instrument was adopted from previous research and assisted by theoretical studies to simplify and help determine policies for the company's after-sales service. The results obtained were that five informants had strong and moderate relationship values for each informant included. The comparison diagram or chart test is unique in that each informant, whether gender, female, or male, shows that the customer service variable has the strongest relationship with after-sales service.

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Disaster-induced migration types and patterns, drivers, and impact: A union-level study in Bangladesh

Cited by 10 publications

References 80 publications

Implications of sea-level rise on the coastal villages of Kanyakumari District, Tamil Nadu, India: A geospatial perspectives

Implications of sea-level rise on the coastal villages of Kanyakumari District, Tamil Nadu, India: A geospatial perspectives

Global patterns of water‐driven human migration

Company Policy Model on Products and Services in the Implementation of After Sales Services in Indonesia

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