scholarly journals Analisis Potensi Longsor Sungai di Daerah Aliran Sungai (DAS) Padang Sumatera Utara

2020 ◽  
Vol 8 (2) ◽  
pp. 141
Author(s):  
Muhammad Ridha Syafii Damanik ◽  
Ali Nurman ◽  
Muhammad Yuliansyah Aminy ◽  
Ilham Ritonga
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
River Basin ◽  
River Flow ◽  
Flash Floods ◽  
Geographic Information ◽  
Disaster Mitigation ◽  
The North ◽  
Analysis Technique ◽  
North Sumatra

AbstractThe occurrence of flash floods in 2017 that hit Tebing Tinggi City in North Sumatra Province caused 33,825 lives to be affected. That shows that the potential for flash floods disasters in the North Sumatra region, including in the Padang River Basin, is classified as very high. The purpose of this study is to determine the location of potential riverbank landslides that cause river flow obstructions (natural dams) in the Padang River Basin. The method used in this study is a qualitative method using geographic information systems. The data analysis technique used is the cone stacking technique of research variable maps. The variables used to analyze the potential of riverbank landslides are the appearance of existing landslides, topography (flow accumulation), and geology (faults). The results of this study indicate that there are 86 locations with potential landslides that can cause natural dams. The most potential location is the Padang sub-watershed with 48 sub-areas.Keywords: Disaster Mitigation, Spatial Modeling, Flash floods, Geographic Information Systems AbstrakKejadian banjir bandang tahun 2017 yang melanda Kota Tebing Tinggi  Provinsi Sumatera Utara menyebabkan 33.825 jiwa terdampak. Hal ini menunjukkan bahwa potensi bencana banjir bandang di wilayah Sumatera Utara termasuk di Daerah Aliran Sungai (DAS) Padang tergolong sangat tinggi. Adapun tujuan penelitian ini adalah untuk mengetahui lokasi yang berpotensi terjadi longsor tebing sungai yang mengakibatkan terhambatnya aliran sungai (bendungan alam) di DAS Padang. Metode yang digunakan dalam penelitian ini adalah metode kualitatif dengan menggunakan sistem informasi geografis. Teknik analisis data yang digunakan adalah teknik tumpeng susun peta variabel penelitian. Adapun variabel yang digunakan untuk menganalisis potensi longsor tebing sungai adalah kenampakan longsor eksisting, topografi (akumulasi aliran), dan geologi (patahan). Hasil penelitian ini menunjukkan bahwa terdapat 86 lokasi yang berpotensi longsor yang dapat menyebabkan bendungan alam. Lokasi paling banyak terdapat potensi adalah sub-DAS Padang dengan jumlah sub-area 48 lokasi.   Kata Kunci:   Mitigasi bencana, Permodelan Spasial, Banjir Bandang, Sistem Informasi Geografis

The use of remote sensing and geographic information systems for the evaluation of river basins: A case study for Turkey, Marmara River Basin and Istanbul

2009 ◽  
Vol 44 (4) ◽  
pp. 388-396 ◽  
Author(s):  
Necla Ulugtekin ◽  
Filiz Bektas Balcik ◽  
Ahmet O. Dogru ◽  
Cigdem Goksel ◽  
Idil Arslan Alaton ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Information Systems ◽  
Geographic Information Systems ◽  
River Basin ◽  
River Basins ◽  
Geographic Information

scholarly journals THE EXPERIENCE OF THE USE OF GEOGRAPHICAL INFORMATION SYSTEMS IN ARCHAEOLOGICAL RESEARCHES OF THE BROWARKA RIVER BASIN OF PEREIASLSAV REGION

2018 ◽  
Vol 26 (1) ◽  
pp. 190-200
Author(s):  
S. V. Vovkodav
Keyword(s):  
Remote Sensing ◽  
Information Systems ◽  
Geographic Information Systems ◽  
River Basin ◽  
Remote Sensing Data ◽  
Geographic Information ◽  
Archaeological Sites ◽  
Research Focus ◽  
Settlement Systems ◽  
Sensing Data

The article describes experience of using geographic information systems in archaeological research of the Brovarka river basin. This river is а part of surface waters of Pereiaslav region and it is located in the south-eastern part of the region. The study of sites in the region began in the middle of the XIX century. From this time until the end of the 1960s the research focus was concentrated only on the certain objects of the micro-region. During the next period (up to the early 1990s) the several field studies was conducted on the territory, that allows to accumulate many archaeological materials. Despite the aforementioned, yet the purposeful study of the territory was not carried out. In the early 2000s a generalization of information about archaeological sites in the micro-region and their further field survey was started. So, we have begun a comprehensive study of archaeological sites, lined up within the Brovarka river basin. The need to operate a large amount of diverse information and to attract a wide range of sources has forced us to use new approaches in the study of the past of the region: the use of geographic information systems, remote sensing data and GPS positioning. The main research focus was concentrated on the study of the ancient settlement systems. The study was carried out in the context of the implementation of following three areas: а records of archaeological sites, an analysis of the spatial characteristics of ancient settlement systems and use of remote sensing data for different research needs. The particular features and results of their implementation are proposed in this publication.

scholarly journals Spatial Distribution and Implementation of the K-Means Clustering Method at Hotspots in North Sumatra

2021 ◽  
Vol 1 (1) ◽  
pp. 1-6
Author(s):  
Kartika Dewi Butar-Butar ◽  
Elviawaty Muisa Zamzami ◽  
Nancy Damanik ◽  
Alex Rikki ◽  
Eva Darlina
Keyword(s):  
Remote Sensing ◽  
Spatial Distribution ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Geographic Information ◽  
Clustering Method ◽  
High Confidence ◽  
Confidence Levels ◽  
June July ◽  
North Sumatra

Hotspots are indicators of forest and land fires. Hotspot monitoring can be carried out with the help of remote sensing tools and geographic information systems. Hotspot data is obtained from the MODIS sensors from the TERRA and AQUA satellites which contain information on latitude and longitude coordinates and the level of confidence divided by three levels, namely low, medium and high confidence levels. Based on the spatial results, the number of hotspots in North Sumatra Regency is in February, March, June, July, and August. Districts that are dominant with hotspots are Karo Regency, Labuhan Batu Regency, Mandailing Natal Regency, Padang Lawas Regency and South Tapanuli Regency. Based on the results, the process of applying the k-means clustering method to the weka application, the data obtained is in the form of a clustered group and the results can be made into indicators in determining hotspots in districts in North Sumatra province per month.

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.

Application of Remote Sensing Technologies and Geographical Information Systems in Monitoring Environmental Degradation in the Lake Victoria Watershed, East Africa

2010 ◽  
pp. 431-455
Author(s):  
Charles K. Twesigye
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Information Systems ◽  
Geographic Information Systems ◽  
River Basin ◽  
Environmental Degradation ◽  
Lake Victoria ◽  
Geographic Information ◽  
African Region ◽  
Gis And Remote Sensing

Accurate information on the state of water resources in the Lake Victoria watershed is crucial for planning and sustainable development in the East African region. This region largely depends on its natural resource-base for economic development, and therefore comprehensive information on its resources dynamics is key in implementing poverty alleviation strategies, improving human condition and preserving the biological systems upon which the region‘s population depends. This chapter focuses on key issues, which have emerged as a result of population growth and development in the region. The research on which this chapter is based aims to address the concerns on land use and settlement trends in the study sites, vulnerability of the communities to water stress and sustainability of the livelihood systems in the watersheds of Nzoia River Basin (Kenya), Nakivubo Wetland (Uganda) and Simiyu River Basin (Tanzania). These communities engage in unique land use practices that have intensified environmental degradation in recent times. The research adopts a multi-disciplinary approach in bringing to the fore the various processes affecting watershed resources use and management in the selected wetlands of the Lake Victoria Drainage Basin (LVDB). The data presented covers trends in vegetation cover loss, pesticide pollution and general water quality parameters. Geographic information systems (GIS) and remote sensing techniques were employed to unveil land use patterns that have resulted in the degradation of the watershed. Wetland degradation levels have been characterized using secondary data generated by analytical techniques. New emerging challenges of environmental degradation caused by industrial, domestic and agricultural activities are presented and discussed. The potential of the new science of hydroinformatics in integrated watershed management through mathematical modeling, geographic information systems analysis and water supply management is highlighted.

Methodology to Establish Hurricane Evacuation Zones

2005 ◽  
Vol 1922 (1) ◽  
pp. 129-137 ◽  
Author(s):  
Chester G. Wilmot ◽  
Nandagopal Meduri
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
New Orleans ◽  
Metropolitan Area ◽  
Geographic Information ◽  
Hurricane Evacuation ◽  
Evacuation Modeling ◽  
Emergency Situations ◽  
North Shore ◽  
The North

A review of practice in hurricane evacuation modeling reveals that the criteria determining the delineation of hurricane evacuation zones have not been clearly defined. In addition, there is no recommended procedure with which to establish hurricane evacuation zones once criteria have been accepted. A set of criteria has been adopted in this paper to design a procedure that mechanically establishes a recommended set of hurricane evacuation zones for an area. The procedure, which is based on a geographic information systems platform, is described, and its use is demonstrated for establishing hurricane evacuation zones for the northern part of the New Orleans, Louisiana, metropolitan area on the north shore of Lake Pontchartrain. The procedure can be applied to any area, and although it is specifically directed at identifying evacuation zones for hurricanes, it could be used for any emergency in which flooding is the major hazard, or it could be adapted to other emergency situations for which evacuation is an appropriate response.

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