Exploiting On-Site and Off-Site Clients for Flash Floods in the Gulf

2017 ◽  
Vol 2 (2) ◽  
Author(s):  
Ahmad Bin Touq ◽  
Anthony C. Ijeh ◽  
Manal M. Nasir ◽  
Ahmed N. Al Masri
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Gulf Cooperation Council ◽  
Flash Floods ◽  
Geographic Information ◽  
Integrated System ◽  
Torrential Rain ◽  
Remote Sensors ◽  
Torrential Rainfall ◽  
Live Environment

<p>The Gulf Cooperation Council is subject to torrential rain otherwise known as flash flooding.  Records show that torrential rain have occurred in the Gulf Cooperation Council since 1989 until now. The purpose of this study is to present the framework of an integrated system made up of Geographic Information Systems, Remote Sensors, Wireless Sensor Networks, and Graphical User Interface Technologies to mitigate risks to Gulf Cooperation Council motorist caused by torrential rain. The methodology set out to use the integrated system to adopt behavioural patterns inherent in its component parts to provide a solution to torrential rain. Results after simulation report that the integrated system can reach high confidence levels set by its design. Results after framework simulation are based on testing the integrated components of the framework and not testing the integrated system in a live environment. The implication of the results is that it provides a framework for academics and practitioners to reconfigure into a suitable prototype for their needs when addressing torrential rainfall. The value of the article is that it showcases a unique solution to torrential rain.</p><p><strong><em>Keywords</em></strong>: Satellite, Wireless Sensors, Flash Floods, Geographic Information Systems</p>

Contribution of Geographic Information Systems and location models to planning of wastewater systems

2005 ◽  
Vol 52 (3) ◽  
pp. 1-8 ◽  
Author(s):  
J.P. Leitão ◽  
J.S. Matos ◽  
A.B. Gonçalves ◽  
J.L. Matos
Keyword(s):  
Wastewater Treatment ◽  
Decision Support ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Wastewater Treatment Plants ◽  
Greedy Algorithms ◽  
Geographic Information ◽  
Integrated System ◽  
Location Models ◽  
Wastewater Systems

This paper presents the contributions of Geographic Information Systems (GIS) and location models towards planning regional wastewater systems (sewers and wastewater treatment plants) serving small agglomerations, i.e. agglomerations with less than 2,000 inhabitants. The main goal was to develop a decision support tool for tracing and locating regional wastewater systems. The main results of the model are expressed in terms of number, capacity and location of Wastewater Treatment Plants (WWTP) and the length of main sewers. The decision process concerning the location and capacity of wastewater systems has a number of parameters that can be optimized. These parameters include the total sewer length and number, capacity and location of WWTP. The optimization of parameters should lead to the minimization of construction and operation costs of the integrated system. Location models have been considered as tools for decision support, mainly when a geo-referenced database can be used. In these cases, the GIS may represent an important role for the analysis of data and results especially in the preliminary stage of planning and design. After selecting the spatial location model and the heuristics, two greedy algorithms were implemented in Visual Basic for Applications® on the ArcGIS® software environment. To illustrate the application of these algorithms a case study was developed, in a rural area located in the central part of Portugal.

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

Soil Survey and Geographic Information Systems Technology

Soil Horizons ◽  
1995 ◽  
Vol 36 (1) ◽  
pp. 1
Author(s):  
S. P. Theocharopoulos ◽  
D. A. Davidson ◽  
F. Tsouloucha ◽  
A. Trikatsoula
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Geographic Information ◽  
Soil Survey
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