scholarly journals Analysis of erodibility factors and declivity in the Gurgueia River sub-basin, Piauí, Brazil

Terr Plural ◽  
2021 ◽  
Vol 15 ◽  
pp. 1-14
Author(s):  
Livânia Norberta Oliveira ◽  
Cláudia Maria Sabóia Aquino
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Soil Degradation ◽  
Production Capacity ◽  
Soil Management ◽  
Environmental Problems ◽  
Economic Sustainability ◽  
Average Slope ◽  
Very High

Soil degradation caused by erosion is one of the biggest environmental problems. The Geographic Information System (GIS) QGIS and ArcGIS were used to prepare thematic maps. The average slope resulted in smooth wavy (42.1%), flat (27.8%), and wavy to strong wavy (19.9%) over the entire length of the sub-basin. Erodibility resulted in very high (41%) mainly in sectors with a predominance of Neossolos Quartzarênicos soils, on average (7.1%) in the South and Southwest and low (51.1%) of the area corresponding to the soil of the type Dystrophic Yellow Latosol. The expansion of the agribusiness associated with inadequate soil management in areas susceptible to erosion at BHRG can compromise long-term environmental, social, and economic sustainability. It is important develop suitable agricultural techniques appropriate to the soil to optimize its use and its sustainable production capacity.

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 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 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 Mapping the Potential Economy in The Old Town of Semarang to Support Its Sustainability

2020 ◽  
Vol 22 (2) ◽  
pp. 110-116
Author(s):  
Wakhidah Kurniawati ◽  
Rina Kurniati ◽  
Sugiono Soetomo ◽  
R. Rafii Bisatya Rahmat ◽  
Annisa Sahira Firdaus
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Economic Sustainability ◽  
Cultural Economic ◽  
Main Road ◽  
The Core ◽  
Economic Area ◽  
The Government ◽  
The 19Th Century ◽  
Original Characteristic

Abstract: The old town of Semarang is one of the most historical places in Semarang city, Indonesia, and in the 19th century, it was considered as a major business center. Currently, intending to revitalize this old town as the center for economy, the government has made it a central socio-cultural economic area for tourism development. This study aims to identify the potential economic spots in this old town to support its sustainability. The methodology used was cultural mapping with the geographic information system (ArcGIS) and direct observation in the old town. The results show that the core economic area is located on the main road. Meanwhile, the secondary economic area is situated behind the main roads. Both are selected because the original characteristic buildings which attract visitors. Therefore, adaptive reuse in an iconic building is one of the keys to economic sustainability in this old town.

scholarly journals Analysis of the Hungarian Hydrocarbon Industry’s Accidents and their Demonstration with GIS

2020 ◽  
Vol 25 (3) ◽  
pp. 267-273
Author(s):  
András Tóth
Keyword(s):  
Information System ◽  
Decision Support ◽  
Geographic Information System ◽  
Disaster Management ◽  
Fire Service ◽  
Geographic Information ◽  
Management Decision ◽  
Industrial Activities ◽  
Management Decision Support

AbstractFrom its beginning until today the Hungarian hydrocarbon industry has suffered more than seventy bigger accidents where intervention of the fire service and thorough examination was required. In the article the author presents the short analysis of accidents that were collected, systemized, and entered into database during the research, and their integration into the Geographic Information System (GIS). Based on the finished database, with the extended list of the locations’ GPS coordinates, the accidents will be entered into the ArcMap application. The publication of the accidents will be done with the help of Arcgis Viewer for Flex – Application Builder program. Following the GIS placement of accidents, testing, drawing conclusions and summarization are the main goals. The next step will be the preparation for assigning the database to the Disaster Management Decision Support Geographic Information System. Following the international publication, the long-term goal is the connection of each country’s files of dangerous industrial activities that were collected by researchers into one common database.

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