Mapping of Coastal Vulnerability using the Coastal Vulnerability Index and Geographic Information System

2015 ◽  
Vol 6 (5) ◽  
pp. 819 ◽  
Author(s):  
Frida Aprilia Loinenak ◽  
Agus Hartoko ◽  
Max Rudolf Muskananfola
2018 ◽  
Vol 28 (55) ◽  
pp. 1076-1102 ◽  
Author(s):  
Helio Carreço ◽  
Aurélia Hermínia Castiglioni

Este trabalho tem por objetivo analisar a vulnerabilidade socioambiental enfrentada pelas parcelas de baixa renda da população dos Bairros de Vitória-ES e demonstrar a relevância dos Sistemas de Informações Geográficas (SIG) como ferramenta de mensuração e representação destas situações. Para isso, será demonstrada a viabilidade da adoção de geotecnologias livres para a abordagem deste tema, por meio da análise de variáveis socioeconômicas, infraestruturais e do meio físico. O estudo fundamenta-se em dados produzidos pelo IBGE, pela Prefeitura Municipal de Vitória e pela Secretaria de Segurança Pública do Espírito Santo, relativos ao período de 2010 a 2015. A análise e redução de variáveis são feitas por meio de critérios objetivos utilizando a Análise de Componentes Principais (ACP). As variáveis analisadas mostraram alta correlação e os resultados foram utilizados para a construção do Índice de Vulnerabilidade Socioambiental. A partir dos valores do índice, os bairros foram espacializados por meio de um software livre de SIG, o que permitiu formar agrupamentos de unidades de análise que apresentam semelhanças quanto à vulnerabilidade socioambiental, sendo possível identificar uma notável disparidade entre os bairros de Vitória.Palavras-chave: Vulnerabilidade Socioambiental; Sistema de Informação Geográfica; Geotecnologias Livres.AbstractThis paper aims to analyze the Socio-Environmental Vulnerability faced by the low income portion of the population from Vitoria – ES and show the importance of the Geographic Information System (GIS) as a tool of measurement and representation of these situations. Thus, the feasibility of adopting free geotechnologies will be demonstrated in order to approach this theme by means of analyzing the socioeconomic, infrastructural as well as physical environment variables. The study is based on data produced by IBGE, City Hall of Vitoria and by Secretary of Public Security of Espirito Santo, related to the period from 2010 to 2015. The analysis and reduction of variables are made by means of objective criteria utilizing the Principal Component Analysis (PCA). The variables analyzed showed high correlation and the results were utilized for the construction of Socio-Environmental Vulnerability Index. From the values of the index, the neighborhoods were spatialized through a free GIS software which allowed forming groups of neighborhoods that present similarities regarding the Socio-Environmental Vulnerability. It was possible to identify a notable disparity among the neighborhoods of Vitoria.Keywords: Socio-environmental Vulnerability; Geographic Information System (GIS); Free Geotechnologies.


2021 ◽  
Vol 944 (1) ◽  
pp. 012045
Author(s):  
N P A R Suhita ◽  
V P Siregar ◽  
J Lumban-Gaol

Abstract Bali is one of the areas vulnerable to disasters because of its geographical position, which is flanked by two earthquake sources in the form of a subduction zone and back-arc thrust zone, which can cause a tsunami in Bali region. This research aims to identify and map the level of coastal vulnerability to the tsunami in Buleleng Regency, Bali Province. The mapping was carried out using Geographic Information System (GIS). This study used secondary data and field data. The parameters used in analyzing the level of tsunami vulnerability were land elevation, slope, landuse, distance from the beach, and distance from the river. The level of vulnerability was grouped into five classes, namely very safe (35,466.9 ha), safe (70,485.0 ha), moderately vulnerable (17,645.0 ha), vulnerable (6,903.3 ha), and very vulnerable (438.9 ha) located in the Districts of Gerokgak, Seririt, Buleleng, and Sawan which are close to the river.


2021 ◽  
Vol 17 (10) ◽  
Author(s):  
Kanga Idé Soumaila ◽  
Naimi Mustapha ◽  
Chikhaoui Mohamed

Water resources are disproportionately distributed, and more and more problems related to this precious resource are being reported around the world due to anthropogenic pressures and global environmental changes. This paper focuses on assessing the vulnerability of water resources in an integrated way, by taking into account hydrological, environmental, socio-economic and pollution factors, in order to delineate sensitive areas of water resources under a geographic information system. The framework for assessing the water resources vulnerability in the Fès, Meknès, and Ifrane perimeters was based on a participatory approach through a survey. The data collected on the identified factors are then processed under ArcGIS tool to aggregate the normalized value into a water resources vulnerability index. The result shows that the degree of vulnerability of water resources in most of the study area is considered to be at the "threshold" to "non-vulnerable". However, three (3) main areas were considered to be "moderately vulnerable" to "highly vulnerable" precisely in the South of the city of Meknes (Zone 1), from the West of the city of Fès (Zone 2), and finally the Dayet Ifrah area (Zone 3). The sensitivity analysis showed that five factors have more impact on the overall water resources vulnerability map: topography, poverty, water withdrawal, population density, and access to drinking water. The result of this study could help integrated water resources management planners take action to improve the overall water quantity and quality in the area, and it can be extended to a larger scale like regional, national or cross-country.


2018 ◽  
Vol 2 ◽  
pp. 223
Author(s):  
Humam Zarodi

<p>Erupsi Gunungapi Merapi tahun 2010 mengakibatkan banyak korban jiwa, kerusakan aset dan kerugian di berbagai bidang. Untuk meminimalkan korban jiwa, kerusakan dan kerugian, diperlukan upaya pengurangan risiko bencana (PRB). Salah satu upaya yang dilakukan adalah program desa bersaudara (<em>sister village</em>) yang digagas oleh Pemerintah Kabupaten Magelang melalui Badan Penanggulangan Bencana Daerah (BPBD). Program desa bersaudara ini bertujuan agar ada kepastian tempat pengungsian, mengurangi kesemrawutan proses pengungsian serta memudahkan pelayanan pengungsi. Program ini dapat memanfaatan Sistem Informasi Geografis/<em>Geographic Information System</em> (GIS) yang berbasis web (<em>WebGIS</em>). <em>WebGIS</em> mampu mendiseminasikan peta yang dihasilkan dalam program desa bersaudara, misalnya peta jalur evakuasi. Makalah ini bertujuan untuk mendiskripsikan pemanfataan <em>WebGIS</em> dalam mendukung program desa bersaudara, dengan mengambil kasus di Desa Ngargomulyo (desa rawan bencana) dan Desa Tamanagung (desa penyangga/ penerima pengungsi). Metodenya adalah memaparkan proses pemetaan jalur evakuasi. Proses penyusunan peta tersebut terbagi empat tahap:   survei lapangan, penyiapan data spasial, coding dan publikasi. Hasilnya adalah tampilan peta jalur evakuasi yang bisa diakses oleh siapapun tanpa menggunakan aplikasi GIS yang memudahkan masyarakat pengungsi, penerima pengungsi, pemerintah maupun parapihak, mengetahui asal pengungsi, jalur evakuasi dan titik pengungsian. Penelitian ini menyimpulkan bahwa pemetaan <em>WebGIS</em> dapat mendukung upaya PRB dengan keunggulan bisa dijangkau pengguna secara sangat luas.<strong></strong></p><p><strong>Kata kunci</strong>: desa bersaudara, <em>sister village</em>, pemetaan jalur evakuasi, <em>gis</em>, <em>webgis</em></p>


2020 ◽  
Vol 4 (2) ◽  
pp. 254-259
Author(s):  
Renita Astri ◽  
Sularno

District of West Padang which is the area closest to the coast and has a high population. Therefore a geographic information system was created using the A-Star Algorithm method. The A-Star algorithm uses the closest distance estimation to reach a goal and has a heuristic value that is used as a basis for consideration. In this system there are alternative paths and show the amount of capacity and distance from the shelter to be addressed.


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