scholarly journals Vulnerability Analysis of Sea Level Rise In The Southern Coast of Bawean Island

2019 ◽  
Vol 20 (2) ◽  
pp. 87
Author(s):  
Zainul Hidayah ◽  
Agus Romadhon ◽  
Yudha Witjarnoko

Bawean island is one of numerous small islands in East Java. This island is famous for its natural resources and high level of environmental services. However in the last few years, effects of sea level rises on the island have been reported. Objective of this research was to identify and determine parameters that have significant impact on the vulnerability of the island due to sea level rise events. This research was conducted from July untill September 2017. The method used for this study was a combination of spatial analysis using remote sensing and  Geographical Information System (GIS), field survey and interviews with local people. Vulnerability assesment was conducted for three parameters, namely Exposure, Sensitivity and Adaptive Capacity. The results showed that the vulnerability index in the southern part of the island is 3.381. It can be classified as low vulnerability.

2017 ◽  
Vol 50 (3) ◽  
pp. 1721
Author(s):  
A. Mavromatidi ◽  
E. Karymbalis

Tourism development in Greece has led to increasing pressure on coastal areas, which makes the study of sensitive coastal areas essential, in order to find appropriate solutions for their shielding. The aim of this study is an estimation of the effects of an anticipated sea level rise for the touristically developed part of Pieria Prefecture, which includes the settlements Paralia, Skala of Katerini, Olympic Beach, Korinos Beach and extends north to the area of the Kitrous saltworks and south to the mouth of Mavroneri river. Therefore the Coastal Vulnerability Index (CVI) is applied, in an attempt to determine the susceptible parts to the potential sea level rise. CVI depends on the following parameters: (a) coastal geomorphology, (b) coastal slope, (c) shoreline erosion/accretion rate, (d) relative sea-level rise fluctuations, (e) mean tidal range and (f) mean significant wave height. The classification of the coast, which is of particular socio-economic significance since it hosts urbanized areas, into five CVI classes (from very low vulnerability to very high vulnerability), showed that 43.6% of the entire coastline is of very high vulnerability. 


2014 ◽  
Vol 71 (4) ◽  
Author(s):  
Gill J. Ainee ◽  
A.M. Anwar ◽  
S. Omar K

Climate change has brought about many threats to the ecosystem by inducing natural hazards, particularly sea level rise. Coastal areas then are subjected to many adverse effects of sea level rise, hence posing a risk to the safety of the coastal population, resources and assets. As part of the mitigation and adaptation measures against these effects, the Coastal Vulnerability Index (CVI) was implemented by many coastal regions. The CVI is an index-based tool to map the risks related to coastal changes. In Malaysia, the practice of CVI is still in its initial stages. Whereby, the Department of Irrigation and Drainage (DID) Malaysia had earlier carried out two pilot projects on CVI. The first is located at Tanjung Piai and the second at the west coast of Pulau Langkawi. This paper reviews the definition and concept of CVI. An alternative implementation approach of CVI in Malaysia is also discussed.


2021 ◽  
Vol 11 (2) ◽  
pp. 176
Author(s):  
KARTIKA DEWI OKTAFIANTI ◽  
INDAYATI LANYA ◽  
NI MADE TRIGUNASIH

Mapping of Sustainable Food Agricultural Land at North Kuta and Mengwi Districts Based on Remote Sensing and Geographical Information System. Sustainable Food Agricultural Land (LP2B) is a field of agricultural land designated to be protected and developed consistently in order to produce staple food for national food independence, resilience and sovereignty. The Badung Regency Government has determined the area and location of LP2B but it has not been accompanied by a spatial information map. This study aims to map subak rice fields in 2019 as well as mapping of LP2B based on the physical conditions of the area and the environment in North Kuta and Mengwi Districts based on remote sensing and GIS. The method used consists of image interpretation, field survey and numerical classification. The results showed that the distribution of subak rice fields in North Kuta and Mengwi Districts was 4967.22 ha. The distribution of rice fields in North Kuta District is 850.15 ha and in Mengwi District is 4117.07 ha. In the classification of LP2B areas, the recommended area is model 1 (234.88 ha), model 2 (939.76 ha) and model 3 (2048.63 ha). The recommendation areas are in model 1 (1489.91 ha), model 2 (1101.52 ha) and model 3 (2047.53 ha). The conditional recommendation area is in model 1 (2969.50 ha), model 2 (2048.49 ha) and model 3 (873.39 ha). Not recommended area in model 1 (270.81 ha), model 2 (875.33 ha) and model 3 (0 ha).


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.


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.


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