scholarly journals Studi Potensi Daerah Genangan Banjir Pasang (rob) Perairan Meulaboh dengan Sistem Informasi Geografis (SIG) Studi Potensi Daerah Genangan Banjir Pasang (rob) Perairan Meulaboh dengan Sistem Informasi Geografis (SIG) (Kajian Teknis)

2022 ◽  
Vol 28 (3) ◽  
pp. 371-380
Author(s):  
Asril Zevri
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Water Level ◽  
Sea Level ◽  
Digital Elevation Model ◽  
Geographic Information ◽  
Flood Inundation ◽  
Tidal Flooding ◽  
Digital Elevation ◽  
Elevation Model

Abstrak Kota Meulaboh adalah salah satu daerah di provinsi Nanggroe Aceh Darussalam yang berada di wilayah perairan Lautan Samudra Hindia sebagai sarana Pelabuhan. Pelabuhan Meulaboh sangat berperan penting dalam meningkatkan perekonomian dan memenuhi kebutuhan masyarakat khususnya di Wilayah Kabupaten Aceh Barat. Daerah perairan pantai sangat rentan terhadap banjir pasang (rob) akibat fluktuasi muka air laut dengan kejadian pasang tertinggi (Highest Water Level) yang berpotensi mengakibatkan daerah genangan banjir di sekitar wilayah pemukiman penduduk. Studi penelitian dilakukan untuk menganalisis pemetaan potensi daerah genangan banjir pasang (rob) menggunakan Sistem Informasi Geografis (SIG). Elevasi tinggi pasang surut dianalisis dengan metode Admiralty, penggambaran elevasi kontur permukaan tanah dan banjir pasang (rob) dianalisis berdasarkan data Digital Elevation Model (DEM), dan pemetaan potensi daerah genangan banjir antara elevasi permukaan banjir pasang (rob) dengan peta administratif Kota Meulaboh dilakukan dengan Sistem Informasi Geografis (SIG) yang menggunakan software Arcgis. Hasil penelitian menunjukan elevasi muka air banjir pasang (rob) tertinggi berada di ketinggian 0.78 m di atas permukaan laut rata-rata (MSL) dan mengakibatkan potensi luas daerah genangan banjir mencapai 18.18 Km2. Luas daerah genangan banjir mengakibatkan 11 desa terkena dampak dan mengakibatkan kerugian bagi masyarakat khususnya di wilayah Desa Kampung Pasir, Suak Indrapuri, Suak Raya, dan Suak Nie. Kata-kata Kunci: Meulaboh, pasang surut, admiralty, dan sistem informasi geografis. Abstract Meulaboh City is one of the regions in the province of Nanggroe Aceh Darussalam in the territorial waters Indian Ocean as a port. Meulaboh Port is very important in improving the economy and meeting the needs of the community, especially in the District of West Aceh. Coastal waters are very susceptible to tidal flooding (rob) due to sea level fluctuations with the highest water level which has the potential to cause flooding areas around residential areas. The research study was conducted to analyze the mapping of potential tidal flood areas (rob) using Geographic Information Systems (GIS). Tidal height analysis is carried out using the Admiralty method, depiction of ground surface contour elevation and tidal flooding (rob) is analyzed based on Digital Elevation Model (DEM) data, and mapping of potential inundation areas between tidal flood surface elevations (ROB) with administrative maps of Meulaboh City carried out with a Geographic Information System (GIS) that uses Arcgis software. The results showed that the highest tidal flood water level (rob) was at an altitude of 0.78 m above the mean sea level (MSL) and resulted in the potential area of ​​flood inundation areas reaching 18.18 Km2. The total of ​​flood inundation area affected 11 villages and caused losses to the community, especially in the villages of Kampung Pasir, Suak Indrapuri, Suak Raya, and Suak Nie. Keywords: Meulaboh, tides, admiralty, and geographic information systems.

Pemetaan Bahaya Tsunami Wilayah Kabupaten Serang Bagian Barat Menggunakan Sistem Informasi Geografis

2021 ◽  
Vol 10 (3) ◽  
pp. 233-241
Author(s):  
Padma Paramita ◽  
Sesa Wiguna ◽  
Fathia Zulfati Shabrina ◽  
Aida Sartimbul
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Digital Elevation Model ◽  
Accurate Method ◽  
Geographic Information ◽  
Tsunami Hazard ◽  
Disaster Mitigation ◽  
Hazard Map ◽  
Digital Elevation ◽  
Elevation Model

Indonesia merupakan negara yang memiliki potensi tinggi akan kejadian tsunami. Salah satu wilayah tersebut adalah Kabupaten Serang bagian barat. Saat ini evolusi teknologi penginderaan jauh dan Sistem Informasi Geografis (SIG) dapat dimanfaatkan untuk membantu upaya mitigasi. Tujuan penelitian ini adalah untuk menganalisis potensi tsunami dan menyediakan peta bahaya tsunami sebagai salah satu upaya mitigasi bencana berbasis Sistem Informasi Geografis (SIG) berdasarkan panduan dari Badan Nasional Penanggulangan Bencana (BNPB). Metode yang digunakan dalam penelitian ini adalah metode matematis yang dikembangkan oleh Berryman-2006. Metode ini merupakan metode yang sederhana namun cukup akurat dalam memperkirakan daerah yang berpotensi terdampak tsunami. Data Digital Elevation Model (DEM) dan shapefile rupa bumi yang bersumber dari Badan Informasi Geospasial (BIG) Indonesia merupakan data utama yang digunakan. Hasil analisis menunjukkan bahwa potensi bahaya tsunami di Kabupaten Serang bagian barat terdiri dari 3 kelas yaitu kelas rendah, sedang, dan tinggi yang didominasi oleh kelas bahaya tinggi dengan total luas area terdampak sebesar 377,64 ha. Peta bahaya tsunami ini selanjutnya dapat dijadikan sebagai salah satu basis informasi dalam perencanaan mitigasi bencana di Kabupaten Serang.  Indonesia is a country that has a high potential for tsunami events. One of these areas is the western part of Serang Regency. Currently, the evolution of remote sensing technology and Geographic Information Systems (GIS) can be utilized to assist mitigation efforts. The purpose of this study is to analyze the potential for tsunamis and provide a tsunami hazard map as one of the efforts to mitigate disasters based on Geographic Information Systems (GIS) based on guidelines from the National Disaster Management Agency (BNPB). The method used in this research is a mathematical method developed by Berryman-2006. This method is a simple but fairly accurate method for estimating areas potentially affected by a tsunami. Digital Elevation Model (DEM) data and the shapefile of the earth's appearance sourced from the Indonesian Geospatial Information Agency (BIG) are the main data used. The results of the analysis show that the potential tsunami hazard in the western part of Serang Regency consists of 3 classes, namely low, medium, and high classes which are dominated by high hazard classes with a total area of 377.64 ha affected. This tsunami hazard map can then be used as one of the information bases in disaster mitigation planning in Serang Regency.

The aspects of Aspect: Understanding land exposure and its part in geographic information systems analysis

2018 ◽  
Vol 29 (6) ◽  
pp. 1022-1037 ◽  
Author(s):  
George D Malaperdas ◽  
Vayia V Panagiotidis
Keyword(s):  
Information Systems ◽  
Spatial Analysis ◽  
Geographic Information Systems ◽  
Learning Process ◽  
Systems Analysis ◽  
Geographic Information ◽  
Digital Elevation ◽  
New Students ◽  
Using Data ◽  
Elevation Model

One of the hardest terms for students new to geographic information systems to understand is the meaning and application of Aspect. When taking one’s first steps in spatial analysis using data in the form of rasters, the first three things new users are called to learn and use are exporting a digital elevation model, the Slope (land incline) and finally the Aspect (orientation of a slope). While the first two are quite straightforward and easily comprehended even from newcomers to spatial analysis in geographic information systems, Aspect continues throughout the learning process to be difficult as a function with one out of three new students not able to decipher it. This paper attempts to give a simpler definition to Aspect including its analytical significance in geographic information systems.

scholarly journals Comparison of different approaches to LS factor calculations based on a measured soil loss under simulated rainfall.

2017 ◽  
Vol 12 (No. 2) ◽  
pp. 69-77 ◽  
Author(s):  
M. Hrabalíková ◽  
M. Janeček
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Soil Erosion ◽  
Soil Loss ◽  
Geographic Information ◽  
Experimental Plot ◽  
Simulated Rainfall ◽  
Slope Length ◽  
Digital Elevation ◽  
Elevation Model

Geographic Information Systems (GIS) in combination with soil loss models can enhance evaluation of soil erosion estimation. SAGA and ARC/INFO geographic information systems were used to estimate the topographic (LS) factor of the Universal Soil Loss Equation (USLE) that in turn was used to calculate the soil erosion on a long-term experimental plot near Prague in the Czech Republic. To determine the influence of a chosen algorithm on the soil erosion estimates a digital elevation model with high accuracy (1 × 1 m) and a measured soil loss under simulated rainfall were used. These then provided input for five GIS-based and two manual procedures of computing the combined slope length and steepness factor in the (R)USLE. The results of GIS-based (R)USLE erosion estimates from the seven procedures were compared to the measured soil loss from the 11 m long experimental plot and from 38 rainfall simulations performed here during 15 years. The results indicate that the GIS-based (R)USLE soil loss estimates from five different approaches to calculation of LS factor are lower than the measured average annual soil loss. The two remaining approaches over-predicted the measured soil loss. The best method for LS factor estimation on field scale is the original manual method of the USLE, which predicted the average soil loss with 6% difference from the measured soil loss. The second method is the GIS-based method that concluded a difference of 8%. The results of this study show the need for further work in the area of soil erosion estimation (with particular focus on the rill/interrill ratio) using the GIS and USLE. The study also revealed the need for an application of the same approach to catchment area as it might bring different outcomes.

scholarly journals Development of Flood Inundation Libraries using Historical Satellite Data and DEM for Part of Godavari Basin: An Approach Towards Better Flood Management

2014 ◽  
Vol XL-8 ◽  
pp. 1463-1466 ◽  
Author(s):  
C. M. Bhatt ◽  
G. S. Rao ◽  
B. Patro
Keyword(s):  
Water Level ◽  
Digital Elevation Model ◽  
Satellite Data ◽  
Spatial Dimension ◽  
Water Levels ◽  
Flood Inundation ◽  
Digital Elevation ◽  
Elevation Model ◽  
Trained Manpower ◽  
Godavari Basin

Conventional method of identifying areas to be inundated for issuing flood alert require inputs like discharge data, fine resolution digital elevation model (DEM), software for modelling and technically trained manpower to interpret the results meaningfully. Due to poor availability of these inputs, including good network of historical hydrological observations and limitation of time, quick flood early warning becomes a difficult task. Presently, based on the daily river water level and forecasted water level for major river systems in India, flood alerts are provided which are non-spatial in nature and does not help in understanding the inundation (spatial dimension) which may be caused at various water levels. In the present paper a concept for developing a series of flood-inundation map libraries two approaches are adopted one by correlating inundation extent derived from historical satellite data analysis with the corresponding water level recorded by the gauge station and the other simulation of inundation using digital elevation model (DEM's) is demonstrated for a part of Godavari Basin. The approach explained can be one of quick and cost-effective method for building a library of flood inundation extents, which can be utilized during flood disaster for alerting population and taking the relief and rescue operations. This layer can be visualized from a spatial dimension together with other spatial information like administrative boundaries, transport network, land use and land cover, digital elevation data and satellite images for better understanding and visualization of areas to be inundated spatially on free web based earth visualization portals like ISRO's Bhuvan portal (<a href="http://http://bhuvan.nrsc.gov.in" target="_blank">http://bhuvan.nrsc.gov.in</a>). This can help decision makers in taking quick appropriate measures for warning, planning relief and rescue operations for the population to get affected under that river stage.

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