Coastal multi-hazard vulnerability assessment along the Ganges deltaic coast of Bangladesh–A geospatial approach

Islam, Ashraful; Mitra, Debashis; Dewan, Ashraf; Akhter, S. H.

doi:10.1016/j.ocecoaman.2016.03.012

Cited by 185 publications

(46 citation statements)

References 52 publications

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“…Coastal regions are exposed to a wide variety of hazards, such as landscape changes, habitat loss, seawater intrusion, coastal flooding and waterlogging, which are exacerbated by climate change [31,32,33]. Moreover, many marine and coastal projects have been developed to meet human needs [34,35], and the demand for such developments in coastal regions is often met by exploiting natural land (e.g., tidal flats, water, and open spaces), which may considerably reduce the area of ecological land [27].…”

Section: Introductionmentioning

confidence: 99%

Evolution of Landscape Ecological Risk at the Optimal Scale: A Case Study of the Open Coastal Wetlands in Jiangsu, China

Liu

et al. 2018

IJERPH

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Detailed analysis of the evolution characteristics of landscape ecological risk is crucial for coastal sustainable management and for understanding the potential environmental impacts of a man-made landform landscapes (MMLL). As a typical open coastal wetland, large-scale human activities (e.g., tidal reclamation, fishery activities, wind farm construction, and port construction) have substantially affected the evolution of the coastal ecological environment. Previous landscape ecological risk assessment studies have documented the effectiveness of assessing the quality of ecological environment processes. However, these studies have either focused on the noncoastal zone, or they have not considered the evolution of the spatial characteristics and ecological risk evolution of the landscape at an optimal scale. Here, we present a landscape ecological risk pattern (LERP) evolution model, based on two successive steps: first, we constructed an optimal scale method with an appropriate extent and grain using multi–temporal Landsat TM/OLI images acquired in the years 2000, 2004, 2008, 2013 and 2017, and then we calculated landscape ecological risk indices. Based on this model, the entire process of the spatiotemporal evolution of ecological risk patterns of the open coastal wetlands in Jiangsu, China, was determined. The principal findings are as follows: (1) The main landscape types in the study area are tidal flats and farmland, and the main features of the landscape evolution are a significant increase in aquafarming and a substantial decrease in the tidal flat area, while the landscape heterogeneity increased; (2) In the past 20 years, the areas of low and relatively low ecological risk in the study region were greatly reduced, while the areas of medium, relatively high, and high ecological risk greatly increased; the areas of high-grade ecological risk areas are mainly around Dongtai and Dafeng; (3) The area of ecological risk from low-grade to high-grade occupied 71.75% of the study area during 2000–2017. During the previous periods (2000–2004 and 2004–2008), the areas of low-grade ecological risk were transformed to areas of middle-grade ecological risk area, while during the later periods (2008–2013 and 2013–2017) there was a substantial increase in the proportion of areas of high-grade ecological risk. Our results complement the official database of coastal landscape planning, and provide important information for assessing the potential effects of MMLL processes on coastal environments.

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Section: Introductionmentioning

confidence: 99%

Evolution of Landscape Ecological Risk at the Optimal Scale: A Case Study of the Open Coastal Wetlands in Jiangsu, China

Liu

et al. 2018

IJERPH

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“…Meanwhile, sea-level rise due to climate change will be influencing meteorological hazards [14]. In total, 20.1% of Bangladesh's shoreline (i.e., 57.9 km of total coastline in the Ganges delta) is highly vulnerable to such hazards, whilst 17.5% (50 km) of the shoreline is estimated to be highly vulnerable when examining multiple hazards [40]. For this study, two communities were selected: Nowapara and Pashurbunia under the sub-district of Kalapara of Patuakhali district ( Figure 1a).…”

Section: Study Areamentioning

confidence: 99%

“…Although relocation is generally not preferred by the inhabitants, coastal Bangladesh will be seriously affected by climate change over the next decades, with elevated air and sea temperatures, sea-level rise, and more intense cyclones all threatening livelihoods and lives [40,62,63]. Meanwhile, a devastating earthquake could easily strike across Bangladesh at any time, even before sea-level rise's main effects are witnessed [64,65].…”

Section: Critical Reflectionmentioning

confidence: 99%

Community Resilience to Cyclone Disasters in Coastal Bangladesh

et al. 2016

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Bangladesh is one of the poorest and most disaster-prone countries in the world. To address both problems simultaneously, sustainable livelihoods (SL) could be better connected with disaster risk reduction (DRR). For this purpose, one initiative implemented in Bangladesh is called the Vulnerability to Resilience (V2R) programme which ran from 2013 to 2016. This programme was primarily initiated and funded by the British Red Cross in a consortium with the Swedish Red Cross and the German Red Cross. This article presents the first evaluation of the V2R programme with three objectives. The first objective was to measure whether the selected communities have achieved community resilience characteristics as defined by the programme. The second objective was to conduct a cost-benefit analysis for the intervention. The third objective was to analyse V2R's impact on the communities in terms of DRR and SL. Community-based focus group discussions and household-based surveys were conducted before and after the intervention (2013)(2014)(2015)(2016) in two coastal communities in Patuakhali district, Nowapara and Pashurbunia. The analysis found that community members are now engaged with many hazard-resilient and vulnerability-reducing livelihood activities, using SL to implement DRR, yet these approaches were almost absent prior to V2R. Consequently, the communities have achieved resilience characteristics, being more well-organized and better connected; having better access to infrastructure, services, and economic opportunities; are more knowledgeable and healthier; and are better managing their available resources. Critiques of the concepts are discussed, although in this case, DRR based on SL has shown positive results, exactly as development theory suggests.

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“…Con el objetivo de poder definir el valor del CVI se llevó a cabo una revisión bibliográfica sobre los factores más empleados en trabajos con objetivos similares en distintas zonas del planeta (Gornitz et al, 1994;Shaw et al, 1998;Palmer y Parak, 2009;Anfuso et al, 2013;Elliott et al, 2014;Denner et al, 2015;Ashraful Islam et al, 2016;Nguyen et al, 2016), optando por tomar como variables para este estudio las mostradas en la tabla III. En todos los casos se trata de variables físicas, con las que se busca la consecución de un índice de vulnerabilidad física relativa, al que posteriormente se le podría asociar la vulnerabilidad humana.…”

Section: Materials Y Métodosunclassified

Vulnerabilidad de las costas de Galicia a los temporales marinos en el contexto del cambio global

Gómez‐Pazo

Pérez‐Alberti

2017

Semata

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Vulnerabilidad de las costas de Galicia ante los temporales marinos en el contexto del cambio global Vulnerability of the Galician coast to marine storms in the context of global changeResumen La costa de Galicia tiene más de 2.100 km de longitud. Se caracteriza por el encadenamiento de sectores de costa rocosa y arenosa y se halla situada en un contexto de alta energía, sometida al paso de borrascas y temporales marinos. Por ello, en el contexto del cambio global en el que nos encontramos, es fundamental conocer las dinámicas que interactúan en ella para identificar los sectores más vulnerables en el presente y prevenir posibles consecuencias negativas en el futuro. Este estudio analiza su vulnerabilidad centrándose en las variables físicas que afectan a los primeros 100 m de la fachada marítima: pendiente, altitud, orientación, tipo de costa, litología, cambio en el nivel del mar, altura media de ola y distancia a la línea batimétrica de los 20 m. El uso de herramientas SIG (Sistemas de Información Geográfica) ha permitido generar un índice de vulnerabilidad costera (CVI) con valores entre 1 y 5, de menor a mayor vulnerabilidad que muestra que el 4,52% de la fachada costera presenta valores de alta o muy alta vulnerabilidad, asociada principalmente a los arenales, mientras que el resto de la costa 57,96%, mayoritariamente costa rocosa, presenta unos valores de baja vulnerabilidad. AbstratThe coast of Galicia has more than 2.100 km for length. It is characterized by the chaining of rocky and sandy coast and it's located in a high energy context, subject to the passage of depressions and marine storms. In the context of global change, it is essential to know the dynamics that interact in the Galician coast to identify the most vulnerable sectors in the present and prevent potential AlejAndro Gómez-PAzo; AuGusto Pérez-Alberti: Vulnerabilidad de las costas de Galicia ante los temporales marinos en el contexto del cambio global negative consequences in the future. This study analyzes the vulnerability of coastal focusing on physical variables that affect at the first 100 meters of the coastal zone: slope, altitude, orientation, type of coast, lithology, change in the sea level, average wave height and the distance from de 20 meters bathymetric line. A coastal vulnerability index (CVI) is generated from the Geographical Information Systems (GIS) tools with values between 1 and 5, from lower to higher vulnerability. This index shows that 4.52% of the Galician coast territory presents values of high or very high vulnerability, mainly associated with sedimentary zones, while a majority of the coast (57,96%), frequently rocky coasts presented values of low vulnerability.

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Coastal multi-hazard vulnerability assessment along the Ganges deltaic coast of Bangladesh–A geospatial approach

Cited by 185 publications

References 52 publications

Evolution of Landscape Ecological Risk at the Optimal Scale: A Case Study of the Open Coastal Wetlands in Jiangsu, China

Evolution of Landscape Ecological Risk at the Optimal Scale: A Case Study of the Open Coastal Wetlands in Jiangsu, China

Community Resilience to Cyclone Disasters in Coastal Bangladesh

Vulnerabilidad de las costas de Galicia a los temporales marinos en el contexto del cambio global

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