scholarly journals Contribution of a Geographic Information System to Assess the Vulnerability to Groundwater Pollution of the Free Water Table from the Oued Souf Region (South-East Algeria)

2021 ◽  
Vol 31 (3) ◽  
pp. 1-17
Author(s):  
Fayçal Khelfaoui ◽  
Lamine Sayad ◽  
Badra Attoui ◽  
Boualem Bouselsal ◽  
Salah Ghezaili
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Water Table ◽  
Groundwater Pollution ◽  
Free Water ◽  
Geographic Information ◽  
Aquifer Vulnerability ◽  
Index Method ◽  
Susceptibility Index ◽  
Very High

Abstract The Oued Souf free aquifer located in the South East of Algeria represents the main water resource used mostly for urban and agricultural activities. The intensive use of chemical fertilizers has led to serious environmental problems such as contamination of the free aquifer in the region. Thus, aquifer vulnerability has been assessed using several different methods (DRASTIC, GOD, and the Susceptibility Index ‘SI’) based on a geographic information system (GIS). For each method, two vulnerability maps have been developed in the years 2002 and 2012. These maps show that the study area is more exposed to urban, and especially agricultural, pollution. Two classes of vulnerability (moderate and high) have been identified by both DRASTIC and GOD methods. A combined analysis reveals that the moderate class showing 48% (for the GOD method), and the high class showing 57% (for the DRASTIC method) are the most dominant. However, the Susceptibility Index method (SI) revealed that the vulnerability varies from moderate to very high-level classes. In 2012, about of 53% of the study area was dominated by moderate vulnerability classes. The high vulnerability class also includes a considerable part of the land (41%) around urban or strongly agricultural areas, while only 6% is under very high vulnerability groundwater contamination. In addition, a marked decrease in the vulnerability level was noticed in 2012 compared to 2002. This decrease is mainly due to the lowering of the water table after the installation of a vertical drainage network to evacuate the surplus water to the depression and Chotts areas in the North of the region. These results provide a guide for decision-makers involved in the protection of groundwater pollution in such a vulnerable area.

scholarly journals GEOGRAPHIC INFORMATION SYSTEM (GIS) APPLICATION TO ANALYZE LANDSLIDE PRONE DISASTER ZONE IN JEMBER REGENCY EAST JAVA

2018 ◽  
Vol 2 (1) ◽  
pp. 45
Author(s):  
Fahmi Arif Kurnianto ◽  
Bejo Apriyanto ◽  
Elan Artono Nurdin ◽  
Fahrudi Ahwan Ikhsan ◽  
Rosmadi Bin Fauzi
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Local Community ◽  
Geographic Information ◽  
Gis Application ◽  
High Level ◽  
Very High ◽  
Landslide Disaster

Jember regency has several areas that are morphology of folding hills and mountain folds. The part of landslide prone zone is closely related to the slope of the slope. Areas with a sloping slope of more than 15º need attention to the possibility of a landslide disaster. Interconnection contacts with weathering of rocks, settlements and land cover also affect the landslide potential. The existence of Ijen Volcano that produces volcanic rock deposits that are generally not yet unified will increase the potential for landslides in Jember Regency. Landslide has occurred one of them on Gunung Gumitir Street which is the main route of Surabaya-Jember-Banyuwangi traffic. In May 2016 this street is hit by landslide, so the flow of traffic through this lane is paralyzed and must be diverted to a further path, which rotates to Situbondo City. The transfer of this pathway resulted in a loss to the local community and who crossed the path.The occurrence of landslide disaster shows that Jember Regency area is vulnerable and potentially return to landslide. Therefore there is a need for a solution to solve this problem. One solution to solve the problem is by utilizing Geographic Information System (GIS) application. The purpose of this research is to analyze zonation prone to landslide in jember district. The design of the research is Geographic Information System overlay analysis. This design combines several parameters in the determination of landslide-prone zones. This design combines several parameters in the determination of landslide-prone zones. The parameter used in this research is (1) land use, (2) topography, and (3) soil.Based on the research results, it can be known zone with highest to lowest vulnerability level. Zone with very high level of vulnerability is located in Panti sub-district, Sumberbaru, Sukorambi, Dyke, Silo and Jelbuk. The zones have similar characteristics that include (1) soil type of andosol, (2) clay texture, (3) uncompacted rock, (4) slope of 30⁰-40⁰ (steep and very steep), and (5) land use for settlements and plantations. Keyword: landslide disaster, jember regency, Geographic Information System

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 Debris Flow Risk Mapping Based on GIS and Extenics

2018 ◽  
Author(s):  
Wenbo Xu ◽  
Xueru Zhang ◽  
Yangjuan Zou ◽  
Chunyu Zhang ◽  
Siyu Liu
Keyword(s):  
Risk Assessment ◽  
Information System ◽  
Geographic Information System ◽  
High Risk ◽  
Debris Flow ◽  
Large Scale ◽  
Strong Support ◽  
Geographic Information ◽  
Sichuan Province ◽  
Very High

Abstract. Debris flow, a very dangerous natural disaster, frequently occurs in mountainous areas of Sichuan province. China. Here, we applied the extenics method, which is normally used in single debris flow risk assessment, towards a large-scale debris flow risk assessment for the first time, and built the classical matter elements and joint domain matter elements for assessment of the debris flow risks in Sichuan province. Eight factors, including relative elevation, slope, rock hardness, rainfall, gully density, vegetation coverage, occurrences of historical debris flow and historical earthquake occurrences were selected for debris flow assessment by using geographic information system technology and weight analysis approach. Based on the risk assessment, the debris flow risk map was generated. Results indicate that areas with high risk and very high risk accounted for 21.32 % and 14.35 % of the whole province, respectively. 76 % of the verification points fall within the moderate, high and very high risk areas, suggesting high accuracy of extenics method in large-scale assessment areas. Thus, the Geographic Information System (GIS) and extenics based methods could provide a strong support for debris flow management in the region.

scholarly journals Tracking the Locations of Hindu - Buddhist Archaeological Remains in Magelang Region Based on ROD 1914 and GIS Approach

2020 ◽  
Vol 40 (1) ◽  
pp. 79-100
Author(s):  
Ari Mukti Wardoyo Adi
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
Archaeological Remains ◽  
Work Activities ◽  
Agricultural Work ◽  
East Indies ◽  
15Th Century ◽  
Dutch East Indies ◽  
Very High

Java was once the center of Hindu and Buddhist culture around the 4th until the 15th century AD. The number of archaeological remains from this period is infinite, both monumental remains such as temples and petirtaan (water shrines/ temple), and other remains such as yoni, linga, and statues. These remains are registered systematically by the Dutch East Indies government through its Archaeological Service (Oudheidkundig Dienst). unfortunately, most of them cannot be identified for their exact present locations. Some of the remains were later discovered unexpectedly at the time of construction or agricultural work activities. Therefore, this study seeks to investigate the locations of archaeological remains as reported by the Dutch Archaeological Service in the region of Magelang using the Geographic Information System (GIS) approach. This study suggests that, during the period of the Dutch East Indies, Magelang region has a very high density of Hindu-Buddhist archaeological remains. The result of this study can be used for further surveys, re-inventory, as well as protection and preservation efforts.

scholarly journals Designation of Flood Risk Zones Using the Geographic Information System Technique and Remote Sensing Data in Wasit, Iraq

2021 ◽  
Vol 15 (3) ◽  
pp. 129-140
Author(s):  
Kouther Hasheem Rasn ◽  
Qutaiba Abdulwahhab Nsaif ◽  
Mudhar A. Al-Obaidi ◽  
Yakubu Mandafiya John
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Flood Risk ◽  
Flood Hazard ◽  
Remote Sensing Data ◽  
Geographic Information ◽  
Risk Area ◽  
Sensing Data ◽  
Very High

Floods are a great concern for people and infrastructure, and this is an issue which has increased in several regions around the globe in recent years. This study aims to evaluate flood risk areas and create a flood risk map using integrated remote sensing data and a geographic information system (GIS) in the Wasit governorate – eastern Iraq. Specifically, GIS‑based multi‑criteria analysis (MCA) was used to map flood hazard areas using a four‑criteria layer which is as follows: flow accumulation, slope, rainfall, and elevation. These four layers are standardized and combined using the overlay approach in ArcGIS software and a final map was produced. The study area was divided into five zones based on the results map, namely: very low, low, medium, high, and very high, according to the flood risk area. The resulting map indicates that over 60% of the study area is likely to experience a high and very high level of propensity of flooding. This study could be useful for government planners and decision‑makers to predict potential flooding areas and enhance flood management plans.

scholarly journals ManTool: Application as Manufacturing Tools for Resources Management based on GIS

2021 ◽  
Vol 5 (01) ◽  
pp. 1-11
Author(s):  
Ika Arum Puspita
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Textile Industry ◽  
Raw Materials ◽  
Geographic Information ◽  
Raw Material ◽  
Geographical Information ◽  
Market Needs ◽  
The Right ◽  
Very High

Competition in the textile industry is very high. Companies must be able to meet market needs by producing goods according to demand. In producing an item, it is necessary to design the amount of raw material required. This study aims to publish geographic information system (GIS) based application design as a tool in resource management. This application is named ManTool. ManTool can provide a reminder when raw material stocks run out. With this system, the company can order raw materials, and the production system continues to run well. This system is designed based on a Geographical Information System (GIS), it is easier for companies to determine which supplier of raw materials to choose. The method of making this system is by using the waterfall method. This method produces the right system because each stage is identified sequentially. The result of this research is a geographic information system-based application. With this application, the company will get a notification when the raw material runs out, and the company will get the right supplier's recommendation to buy raw material.

Regional forest-fire susceptibility analysis in central Portugal using a probabilistic ratings procedure and artificial neural network weights assignment

2011 ◽  
Vol 20 (6) ◽  
pp. 776 ◽  
Author(s):  
Luca Antonio Dimuccio ◽  
Rui Ferreira ◽  
Lúcio Cunha ◽  
António Campar de Almeida
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Information System ◽  
Geographic Information System ◽  
Forest Fire ◽  
Geographic Information ◽  
Related Factors ◽  
Susceptibility Index ◽  
Artificial Neural ◽  
Burnt Areas

Geographic information system analysis and artificial neural network modelling were combined to evaluate forest-fire susceptibility in the Central Portugal administrative area. Data on forest fire events, indicated by burnt areas during the years from 1990 to 2007, were identified from official records. Topographic, supporting infrastructures, vegetation cover, climatic, demographic and satellite-image data were collected, processed and integrated into a spatial database using geographic information system techniques. Eight fire-related factors were extracted from the collected data, including topographic slope and aspect, road density, viewsheds from fire watchtowers, land cover, Landsat Normalised Difference Vegetation Index, precipitation and population density. Ratings were calculated for the classes or categories of each factor using a frequency-probabilistic procedure. The thematic layers (burnt areas and fire-related factors) were analysed using an advanced artificial neural network model to calculate the relative weight of each factor in explaining the distribution of burnt areas. A forest-fire susceptibility index was calculated using the trained back-propagation artificial neural network weights and the frequency-probabilistic ratings, and then a general forest-fire susceptibility index map was constructed in geographic information system. Burnt areas were used to evaluate the forest-fire susceptibility index map, and the results showed an agreement of 78%. This forest-fire susceptibility map can be used in strategic and operational forest-fire management planning at the regional scale.

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