Shoreline changes in response to sea level rise along Digha Coast, Eastern India: an analytical approach of remote sensing, GIS and statistical techniques

2013 ◽  
Vol 18 (3) ◽  
pp. 145-155 ◽  
Author(s):  
Adarsa Jana ◽  
Arkoprovo Biswas ◽  
Sabyasachi Maiti ◽  
Amit K. Bhattacharya
2021 ◽  
Author(s):  
mageswaran thangaraj ◽  
Sachithanandam V ◽  
Sridhar R ◽  
Manik Mahapatra ◽  
R Purvaja ◽  
...  

Abstract We report here a four decades of shoreline changes and possible sea level rise (SLR) impact on landuse/landcover (LULC) in Little Andaman Island by using remote sensing (RS) and GIS techniques. A total of six remote sensing data sets covering years between 1976 and 2018 were used to understand the shoreline changes. Moreover, a Digital Shoreline Analysis System (DSAS) was used to estimate short- and long- term shoreline changes from ArcGIS environment. Besides, the Island vulnerability due to SLR was studied through using digital elevation model (DEM). As a result of Sumatra earthquake (2004), the results were showed a significant variation in shorline upliftment and subsidence. The land subsidence was noticed in the range of 1042-3077 ha with sea level rise between 1 and 5 m. Hence, we conclude that Little Andaman Island is vulnerable to SLR and overwhelm low elvation coastal zone.


2012 ◽  
Vol 12 (8) ◽  
pp. 2515-2527 ◽  
Author(s):  
S. Corbella ◽  
D. D. Stretch

Abstract. Sandy shorelines are dynamic with constant changes that can cause hazards in developed areas. The causes of change may be either natural or anthropogenic. This paper evaluates evidence for shoreline changes and their causative factors using a case study on the east coast of South Africa. Beach morphology trends were found to be location-specific, but overall the beaches show a receding trend. It was hypothesized that wave, tide, sea level and wind trends as well as anthropogenic influences are causative factors, and their contributions to shoreline changes were evaluated. Maximum significant wave heights, average wave direction, peak period and storm event frequencies all show weak increasing trends, but only the increases in peak period and wave direction are statistically significant. The chronic beach erosion cannot be attributed to wave climate changes since they are still too small to explain the observations. Instead, the impacts of sea level rise and reductions in the supply of beach sediments are suggested as the main causative factors. The analysis also identifies a trend in the frequency of severe erosion events due to storms that coincide with a 4.5-yr extreme tide cycle, which demonstrates the potential impact of future sea level rise.


2019 ◽  
Vol 19 (3B) ◽  
pp. 227-237
Author(s):  
Pham Viet Hong ◽  
Tran Anh Tuan ◽  
Nguyen Thi Anh Nguyet

Today, environmental hazards and challenges are no longer confined to the national or regional scale but on the global scale. One of the biggest challenges for humanity is the natural disasters, global warming and sea level rise. The natural disasters causing serious consequences for human life, such as: Storms, floods, earthquakes, tsunamis, desertification, high tides... increase in frequency, intensity and scale. In recent years, Ca Mau province as well as coastal provinces of Vietnam is under great influence due to the impacts of climate change. One of the most affected districts in Ca Mau province is Ngoc Hien district. The district has a geographic location with three sides bordering the sea, one side bordering the river, a completely isolated terrain. The terrain is flat, strongly divided by the system of natural rivers and canals and intertwined canals, so it is constantly flooded by the sea. Ngoc Hien district is characterized by a sub-equatorial monsoon climate, directly affected by irregular semi-diurnal regime. The main purpose of the paper is to assess coastal vulnerability due to the impact of climate change over time with GIS-based remote sensing images. Remote sensing data with multi-time characteristics, collected in many periods and covering a wide area is an effective tool for monitoring shoreline fluctuations in particular and land use status of the study area in general.


2020 ◽  
Vol 12 (22) ◽  
pp. 9429
Author(s):  
Meghan C. L. Howey

Climate change threatens cultural heritage across the globe. Of its varied impacts, sea level rise is critically pressing because of the long relationship between humans and the ocean. Numerous cultural heritage sites lie on the world’s fragile coasts. Identifying cultural heritage sites at risk is an urgent need, but archaeological research programs do not always have the resources available to conduct large-scale cultural heritage vulnerability assessments. Given sea level rise poses myriad pressing issues, entities around the globe are developing sea level rise models for various management purposes (ecology, hydrology, real estate, etc.). These remote sensing-derived sea level rise models can be harnessed by archaeologists to assess cultural heritage site vulnerability. Here, such an analysis is realized for a northwest Atlantic Ocean coastal area experiencing relative sea level rise and with robust cultural heritage, including economically significant maritime heritage tourism. Combining archaeological and historic geospatial databases with LIDAR (Light Detection and Ranging)-derived relative sea level rise models illuminates coastal New Hampshire’s cultural heritage vulnerability. This is informative for risk monitoring, mitigation, and preservation planning, especially for cultural heritage tourism. The analysis also raises the need for discussions around what kind and whose heritage gets priority in planning for future sea level rise impacts.


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