Assessing Impact of Sea Level Rise Along the Coastline of Mumbai City Using Geographic Information System

2016 ◽  
pp. 87-96 ◽  
Author(s):  
Pratibha D. Singh ◽  
A. R. Kambekar
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Sea Level Rise ◽  
Sea Level ◽  
Geographic Information ◽  
Mumbai City

scholarly journals Prediction of Tsunami Hazard Levels Based on GIS Analysis in South Bengkulu Regency

2020 ◽  
Vol 4 (9) ◽  
pp. 54-57
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Sea Level Rise ◽  
Sea Level ◽  
Geographic Information ◽  
Tsunami Hazard ◽  
Gis Analysis ◽  
High Class ◽  
Hazard Levels ◽  
Very High

This study aimed at a prediction of tsunami hazard levels in South Bengkulu Regency, that is calculated based data on sea-level rise, distance from the coastline, distance from the nearest rivers, and beach slope. Measurement is carried out using Geographic Information System (GIS) analysis with overlay techniques and the methods of scoring/weighting. The results showed in South Bengkulu Regency the tsunami hazard levels of very high class 504.65 Km (44.8%), high class 160.77 Km (13.7%), somewhat high class 131.09 Km (11.2%), low class 64.92 Km (5.6 %) and very low class 250.39 Km (21.2%).

scholarly journals Free and Open-Source Software for Geographic Information System on Coastal Management: A Study Case of Sea-Level Rise in Southern Brazil

2021 ◽  
Author(s):  
Lucas Terres de Lima ◽  
Sandra Fernández-Fernández ◽  
Carlos V. C. Weiss ◽  
Volney Bitencourt ◽  
Cristina Bernardes
Keyword(s):  
Climate Change ◽  
Information System ◽  
Geographic Information System ◽  
Sea Level Rise ◽  
Open Source ◽  
Sea Level ◽  
Open Source Software ◽  
Coastal Management ◽  
Geographic Information ◽  
End Point Rate

This work assesses sea-level rise using three different models created on Free and Open-Source Software for Geographic Information System (FOSS4GIS). Based on regional projections of Special Report on Climate Change and Oceans and Cryosphere (SROCC) of the Intergovernmental Panel on Climate Change (IPCC), the models were applied to a case of study on Rio Grande do Sul coast – Brazil under different sea-level rise scenarios by the end of this century. The End Point Rate for QGIS (EPR4Q), calculates a shoreline projection using End Point Rate method. The Uncertainty Bathtub Model (uBTM), analyses the sea-level rise impact by the uncertainty of sea-level projec-tions and vertical error of the Digital Elevation/Terrain Model (DEM/DTM). The Bruun Rule for Google Earth Engine Model (BRGM) predicts the shoreline position with sea-level rise, using topographic and bathymetric data from Unmanned Aerial Vehicles (UAV) and Coastal Modelling System (SMC – Brazil), respectively. The results indicated a maximum shoreline retreat for 2100 of -502 m and -1727 m using EPR4Q and BRGM, correspondingly. The uBTM using the land-use of Mapbiomas showed a maximum of 44.57 km2 of urban area impacted by the sea-level flood. This research highlights the possibility of performing coastal management analysis in GIS environ-ment using non-commercial software.

The detection and prediction of sea level changes on coastal wetlands using satellite imagery and a geographic information system

1993 ◽  
Vol 8 (4) ◽  
pp. 87-98 ◽  
Author(s):  
John R. Jensen ◽  
David J. Cowen ◽  
John D. Althausen ◽  
Sunil Narumalani ◽  
Oliver Weatherbee
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Sea Level ◽  
Satellite Imagery ◽  
Coastal Wetlands ◽  
Geographic Information ◽  
Sea Level Changes

scholarly journals Determination of greenhouse gasses in al-Nahrawan suburban by geomatics technique

2018 ◽  
Vol 162 ◽  
pp. 05012
Author(s):  
Abdul-Razzak Ziboon ◽  
Ali Resheq ◽  
Abbas Hamza ◽  
Mays Abass
Keyword(s):  
Climate Change ◽  
Information System ◽  
Geographic Information System ◽  
Sea Level Rise ◽  
Sea Level ◽  
Distribution Maps ◽  
Greenhouse Gasses ◽  
Arctic Ice ◽  
Earth’S Climate

Climate change is now more important than before, based on many evidence, humans were affecting on changing Earth’s climate. The atmosphere and oceans have warmed, by sea-level rise, a strong decline in Arctic ice sea, and other climate-related changes. The aim of this study was to calculate some important greenhousse gasses concentration such as CO2, CH4, N2O in AL-Nahrawan suburban -Baghdad city -Iraq. Geographic Information System (GIS) was utilized to map greenhouse gasses dispersion in AL-Nahrawan bricks factory. From GIS distribution maps for CO2, CH4, N2O, it was found that the value of these gasses were changed from one location to another according to the quantity of fuel used in bricks factory, Where the value of emitted CO2 ranged from (695 -854 tones), value of N2O ranged from (1.905 - 2.318 tones), and finally value of CH4 ranged from (0.286 - 0.347 tones).

PEMANFAATAN WEBGIS DALAM MENDUKUNG PROGRAM DESA BERSAUDARA DI KABUPATEN MAGELANG

2018 ◽  
Vol 2 ◽  
pp. 223
Author(s):  
Humam Zarodi
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Geographic Information

<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>

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