scholarly journals Evaluasi Kelayakan Berdasarkan Aspek Geologi Lingkungan Untuk Penentuan TPA Kota Palangka Raya

2020 ◽  
Vol 1 (1) ◽  
pp. 57-68
Author(s):  
Endah Kartika Susanti ◽  
Salampak ◽  
Hendrik Segah
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Spatial Analysis ◽  
Geographic Information ◽  
Landfill Site ◽  
Feasibility Analysis ◽  
Environmental Geology ◽  
Environmental Aspects ◽  
Landfill Sites ◽  
Initial Selection

Regional feasibility analysis of landfill locations based on the environmental geology point is the initial selection in the planning of landfill sites. This research aims to assess the regional feasibility zones for landfill site in Palangka Raya city based on the environmental aspects. Observational examination and spatial analysis using geographic information system (GIS) were applied to ascertain the determination and limitation factors. The result shows that Palangka Raya could be categorized into 3 (three) zones in terms of its feasibility for the landfill area. Unsuitable zone covering an area of 165,936.69 hectares or 58.12% of total area, followed by a moderately suitable zone of 782.25 hectares (32.85%), and least suitable zone of 25,788.88 hectares (9.03%). The infeasible ones are located in districts of Sebangau and Pahandut, and some parts of Jekan Raya.

scholarly journals Spatial analysis of hypothyroidism and ground water pH in an Urban Area of Kerala using the geographic information system

2020 ◽  
Vol 64 (3) ◽  
pp. 300
Author(s):  
MathewJoseph Valamparampil ◽  
Sara Varghese ◽  
Ananth Mohan ◽  
Rajesh Reghunath ◽  
AL Achu ◽  
...  
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Spatial Analysis ◽  
Ground Water ◽  
Urban Area ◽  
Geographic Information ◽  
Water Ph

Landfill siting based on optimisation, multiple decision analysis, and geographic information system analyses

2018 ◽  
Vol 36 (7) ◽  
pp. 606-615 ◽  
Author(s):  
Luciana MG Spigolon ◽  
Mariana Giannotti ◽  
Ana P Larocca ◽  
Mario AT Russo ◽  
Natália da C Souza
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Decision Analysis ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Geographic Information ◽  
Landfill Site ◽  
Sanitary Landfill ◽  
Sanitary Landfills ◽  
The Cost

Sanitary landfill remains the most common methodology for final treatment and disposal of municipal solid waste worldwide, the cost per tonne depends on its scale. The bigger the landfill, the cheaper the cost of treatment, so the consortium of municipalities is the solution to achieve an economic scale. However, the growth of waste production introduces pressure for adequate solutions and therefore has been increasing sanitary landfill site selection studies. This study proposes a methodology for siting sanitary landfills and optimising the transport of municipal solid waste for a locality in the state of São Paulo, Brazil. Environmental, social, and economic criteria were established. Their correlated attributes were categorised into suitability levels and weighted according to multiple decision analysis. The data were organised and mapped within a geographic information system. Considering sites where landfills are prohibited, two scenarios were generated. The Mixed-Integer Quadratic Programming mathematical model is used to minimise the costs of transporting municipal solid waste and operating sanitary landfills. In Scenario 1, the results indicated that 64% of the area was suitable as a potential sanitary landfill site, 9% of the area exhibited medium suitability, and 27% of the area was classified as restricted. In Scenario 2, the results indicated that 25% of the area was suitable as a potential sanitary landfill site, 4% of the area had medium suitability, and 71% of the area was classified as restricted. The optimal solutions for Scenario 1 and Scenario 2 enabled sites to be determined for five landfills and four landfills, respectively.

scholarly journals Application of Epidemiological Geographic Information System: An Open-Source Spatial Analysis Tool Based on the OMOP Common Data Model

2020 ◽  
Vol 17 (21) ◽  
pp. 7824
Author(s):  
Jaehyeong Cho ◽  
Seng Chan You ◽  
Seongwon Lee ◽  
DongSu Park ◽  
Bumhee Park ◽  
...  
Keyword(s):  
United States ◽  
Information System ◽  
Geographic Information System ◽  
Spatial Analysis ◽  
Health Outcomes ◽  
Open Source ◽  
Geographical Distribution ◽  
The United States ◽  
Geographic Information ◽  
Common Data Model

Background: Spatial epidemiology is used to evaluate geographical variations and disparities in health outcomes; however, constructing geographic statistical models requires a labor-intensive process that limits the overall utility. We developed an open-source software for spatial epidemiological analysis and demonstrated its applicability and quality. Methods: Based on standardized geocode and observational health data, the Application of Epidemiological Geographic Information System (AEGIS) provides two spatial analysis methods: disease mapping and detecting clustered medical conditions and outcomes. The AEGIS assesses the geographical distribution of incidences and health outcomes in Korea and the United States, specifically incidence of cancers and their mortality rates, endemic malarial areas, and heart diseases (only the United States). Results: The AEGIS-generated spatial distribution of incident cancer in Korea was consistent with previous reports. The incidence of liver cancer in women with the highest Moran’s I (0.44; p < 0.001) was 17.4 (10.3–26.9). The malarial endemic cluster was identified in Paju-si, Korea (p < 0.001). When the AEGIS was applied to the database of the United States, a heart disease cluster was appropriately identified (p < 0.001). Conclusions: As an open-source, cross-country, spatial analytics solution, AEGIS may globally assess the differences in geographical distribution of health outcomes through the use of standardized geocode and observational health databases.

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