scholarly journals Identifikasi Kawasan Potensial Untuk Penerapan Sistem Rainwater Harvesting (RWH) di Kota Palembang dengan Pendekatan Geographic Information System (GIS)

CANTILEVER ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 39-45
Author(s):  
Imroatul Chalimah Juliana ◽  
Febrinasti Alia ◽  
M. Ichwanul Falah ◽  
Taufik Ari Gunawan
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Rainwater Harvesting ◽  
Geographic Information ◽  
Successful Implementation ◽  
Weighted Overlay ◽  
Steep Slopes ◽  
Hierarchy Process ◽  
Potential Area

Rainwater harvesting system (RWH) implementation may be a solution to maximize the water availability and reduce the runoff volume in Palembang City. For successful implementation, it is necessary to identify potential areas for RWH implementation. This study aims to identify areas in Palembang that are potential for implementing the RWH system. An analysis of parameters that affect the classification also conducted. This study used a geographic information system (GIS) approach using rainfall, slope, land use, and soil type parameters which are structured in a hierarchy using the analytical hierarchy process (AHP). Based on the weighted overlay method, it can be concluded that  a very potential area for RWH implementation dominated with a wet area, flat slope, dense residential area and the type of soil which is not susceptible to infiltration. Whereas the medium and non-potential areas are dominated by steep and very steep slopes as well as unoccupied land use. Areas of high potential and potential reach 18.17% and 66.14% respectively. While the medium and not the potential is 13.66% and 2.03%. Areas of great potential are in the Buah, Kidul, Sekanak, Sriguna, Bendung, and Selinca Sub Watershed. Non-potential areas are only available in small area in DAS Gandus, Gasing, and Lambidaro Sub Watershed.

scholarly journals GEOGRAPHIC INFORMATION SYSTEM AND ANALYTICAL HIERARCHY PROCESS FOR LAND USE PLANNING OF BEEKEEPING IN FOREST MARGIN OF BOGOR REGENCY, INDONESIA

2016 ◽  
Vol 7 (3) ◽  
pp. S50-S57
Author(s):  
Widiatmaka . ◽  
Wiwin Ambarwulan ◽  
Chandrasa E Sjamsudin ◽  
Lailan Syaufina
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Land Use Planning ◽  
Analytical Hierarchy Process ◽  
Honey Bees ◽  
Geographic Information ◽  
Land Suitability ◽  
Physical Parameters ◽  
Hierarchy Process

One way to establish forest conservation is by improving the welfare of the community residing at the forests’ borders. Beekeeping has the potential to increase the income of the people around the forest. This study aims to delineate beekeeping zones bordering the forest regions. Multi-criteria analysis based geographic information system was used to delineate the ecologically suitable areas for honey bees. The parameters used included physical parameters (temperature, rainfall, distance from water source and altitude), economic parameters (distance from the roads and distance from the market) and social parameters (land use and distance from settlements). The parameters were weighed by applying analytical hierarchy process. The result was then inputted into a spatial model designed to determine the ecological suitability for honeybees. The suitable land for bees’ forages was delineated using land suitability analysis with maximum limitation method. The results of both analyses were then overlaid to delineate suitable areas for beekeeping. The analysis resulted in locating recommended areas for the cultivation of honey bees and forages around the forest periphery, by taken into account official spatial land use planning.Key words: Habitat suitability, land suitability, bee forage, land use planning

scholarly journals Automated Classification of Agricultural Lands Using GIS and NES

2018 ◽  
Vol 7 (4.38) ◽  
pp. 1146
Author(s):  
V. K. Kalichkin ◽  
A. I. Pavlova ◽  
A. F. Petrov ◽  
V. A. Smolyakov
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Interpolation Method ◽  
Ground Surface ◽  
Geographic Information ◽  
Automated Classification ◽  
Stream Power ◽  
Stream Power Index

The article proposes the methodology for the automated classification of uplands using Geographic Information System (GIS) and Neural Expert System (NES). Quantitative indicators of topography are used as the basis of the proposed classification. A database consisting of topographic, soil, and land use maps was created using ArcGIS 10 geographic information system. A topologically correct digital elevation model (DEM) was created by the ANUDEM interpolation method. The DEM contains the following maps: hypsometric, steepness and slopes exposure, plan, profile, common curvature of the ground surface, and cumulative runoff maps. The boundaries of elementary surfaces (ES), which are homogeneous morphological formations, are established. Parameters characterizing the Stream Power Index (SPI) are taken into account. The essence of the proposed classification consists in attributing of ES to a certain group of lands based on aggregate of features. To do this, partial scales were created, containing indicators of topography, soil cover, land drainage conditions, as well as the degree of erosion development. The authors formed knowledge base for traning the NES using GIS database and partial scales of estimates. Teaching of neural network was carried out. The classification and topology of land was carried out by means of the NES. The uplands are distributed in flat and slightly convex areas. They are characterized by the following indicators: the curvature of the ground surface: plan curvature (0 – 0.03), profile curvature (0 – 0.15), common curvature (0 – 0.22); slope angles (less than 1.5о); horizontal dissection in elevation (less than 0.5 km/km2), vertical dissection (less than 5 m); and SPI (from -13.80 to -6.47). Electronic map of uplands of LLC «Salair» land-use area was created in the ArcGIS 10 environment.  

scholarly journals Modelagem espacial de áreas suscetíveis a inundações baseada em um modelo multicritério hibrido e Sistema de Informação Geográfica: um estudo de caso aplicado a bacia do Rio Bengalas

2020 ◽  
Vol 13 (3) ◽  
pp. 1145
Author(s):  
Fabiano Peixoto Freiman ◽  
Camila De Oliveira Carvalho
Keyword(s):  
Information System ◽  
Fuzzy Logic ◽  
Geographic Information System ◽  
River Basin ◽  
Analytical Hierarchy Process ◽  
Rio De Janeiro ◽  
Geographic Information ◽  
Flood Susceptibility ◽  
Hierarchy Process

A identificação de áreas suscetíveis a inundações é essencial para o gerenciamento de desastres e definição de políticas públicas. O objetivo deste trabalho é a apresentação de um método para identificação de áreas suscetíveis a inundações através da integração de informações geográficas provenientes de técnicas do Sensoriamento Remoto, as ferramentas do Sistema de Informação Geográfica (SIG), a lógica Fuzzy e a aplicação de Métodos de Análise Multicritério (MAM) Analytical Hierarchy Process (AHP). Para atingir o objetivo foi proposto um estudo de caso, localizado na Bacia do Rio Bengalas, nos municípios de Nova Friburgo e Bom Jardim (Região Serrana do Rio de Janeiro). A modelagem espacial multicritério foi realizada a partir da seleção de um conjunto de dados composto por informações geomorfológicas, hidrológicas e de uso e ocupação do solo. Como resultado, obteve-se um mapa de suscetibilidade a inundações para a região. A coerência do modelo gerado foi verificada a partir do histórico de inundações da bacia do Rio Bengalas. A metodologia, apresentou-se eficiente e adequada para a determinação de áreas suscetíveis a inundações, prevendo com sucesso a distribuição espacial de áreas com riscos a inundações.  Spatial modelling of flood-susceptible areas based on a hybrid multi-criteria model and Geographic Information System: a case study applied to the Bengalas River basin A B S T R A C TThe identification of areas susceptible to flooding is essential for disaster management and public policy making. The objective of this work is the presentation of a method for the identification of areas susceptible to floods through the integration of geographic information from Remote Sensing techniques, Geographic Information System (GIS) tools, Fuzzy logic and the application of Multicriteria Analysis Methods (MAM) Analytical Hierarchy Process (AHP). In order to achieve the objective, a case study was proposed, located in the Bengalas River Basin, in the municipalities of Nova Friburgo and Bom Jardim (Mountain Region of Rio de Janeiro). Multicriteria spatial modeling was performed by selecting a data set composed of geomorphological, hydrological and land use information. As a result, a flood susceptibility map was obtained for the region. The coherence of the generated model was verified from the flood history of the Bengalas River basin. The methodology was efficient and adequate for the determination of areas susceptible to floods, successfully predicting the spatial distribution of areas at risk of flooding.Keywords: flood susceptibility. Fuzzy logic. MAM. AHP. GIS. 

scholarly journals The choice of optimal sites for controlled landfill using the Analytical Hierarchy Process and the Geographic Information System: A case of Oum Azza in Morocco

2021 ◽  
Vol 234 ◽  
pp. 00066
Author(s):  
Ahmed Ait Errouhi ◽  
Jihane Gharib ◽  
Yassir Bouroumine ◽  
Anas Bahi
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Waste Management ◽  
Geographic Information ◽  
Waste Hierarchy ◽  
Institutional Economic ◽  
System A ◽  
Exponential Increase ◽  
Hierarchy Process

Depending on the technical, institutional, economic and social limits of developing countries, as well as the population density in cities, nowadays, the volume of urban waste has increased considerably, and the management of this waste contributes to climate change, and air pollution, it directly affects many ecosystems and many species. Waste management faces serious problems such as irregular collection, informal sweeping activities, uncontrolled dumping and proliferation of illegal dumping. The latter constitute a real and permanent threat to the quality of life, this exponential increase in the urban population and the resulting accelerated phenomenon of urbanization have highlighted the need to develop sustainable and efficient waste management systems. Stakeholders are therefore required to consider alternative and available means of disposal, in particular by minimizing the damage caused to the ecosystem and to the human population, among these means of disposal, controlled landfills, considered as the last option in the waste hierarchy. In this study, attempts were made to locate a new landfill in Oum Azza using the AHP multi-criteria decision-making method to assess the different criteria considered during the prospecting and combining them with the geographic information system to acquire the results in the form of maps displayed on the optimal sites to house a new controlled landfill and minimize its terrible impact on the environment.

scholarly journals Geographic information system based malaria risk analysis and mapping in Erer District eastern Ethiopia

2019 ◽  
Author(s):  
Maereg Teklay A Amare ◽  
Gebrehiwot Gebretsadik kassa ◽  
Esie G/wahid Gebre ◽  
Abadi Abay ◽  
Mekonen yimer ◽  
...  
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Analytic Hierarchy Process ◽  
Geographic Information ◽  
Malaria Risk ◽  
Analytic Hierarchy ◽  
Risk Areas ◽  
Hazard And Risk ◽  
Temporal And Spatial ◽  
Hierarchy Process

Abstract Background: Erer is one of the districts in Ethiopia where the first malaria transmission season occurs. Although the focus on malaria research has increasingly gained ground, little emphasis has been given to develop quantitative methods for assessing malaria hazard and risk in a temporal and spatial perspective. Objective: To characterize and examine the temporal and spatial malaria trend. The research also aims at producing a predictive model of malaria hazard and risk in Erer district. Methods: In this study a cross sectional research design was used. It was carried out through the collection of both quantitative and qualitative data about the nature of malaria and household’s response towards it. A multi-stage sampling method was used and 136 sample size was determined from the sampling frame of 6203 households. Simple descriptive analysis technique was used to determine the malaria trend of the district. Integration of Geographic information system and analytic hierarchy process was used to determine the weight of each factor pair wise comparison and weighted linear combination was used to aggregate and produce the hazard and malaria risk maps. Results: Results have shown that 19.92%, 27.96%, 32.35%, 18.93% and 0.82% of the district was very high, high, moderate, low and very low malaria risk areas respectively. The malaria trend of the area was found to be variable across time with 2014 the peak year while the minimum case observed was in 2016. Conclusion: It is possible to conclude that risk maps are important for estimating the scale of the risk, and enable detection of high risk areas, thus facilitating decision making and policy formulation for enhanced malaria control interventions. Key words: Analytic Hierarchy Process; Malaria risk; Malaria trend; Weighted overlay

scholarly journals The Use of Remote Sensing and Geographic Information System Techniques to Determine Relationships between Land Use and Landform

2014 ◽  
Vol 3 (2) ◽  
Author(s):  
Tülay TUNÇAY ◽  
İlhami BAYRAMİN ◽  
Hasan Sabri ÖZTÜRK ◽  
Mümtaz KİBAR ◽  
Oğuz BAŞKAN
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Geographic Information

Calculation of Land Consolidation Potential Based on GIS

2014 ◽  
Vol 580-583 ◽  
pp. 2769-2773
Author(s):  
Yan Hua Liu ◽  
Wei Qing Chen
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
Land Consolidation ◽  
Cultivated Land ◽  
Thematic Maps ◽  
Residential Land ◽  
Rural Residential Land ◽  
In Virtue Of

Through the analysis of land use actuality, this paper summarizes the characteristics of land use, in virtue of geographic information system (GIS) platform, the database of land consolidation is constructed, combining with different calculation models of cultivated land and rural residential land consolidation potential, the consolidation potentials of cultivated land and rural residential land are calculated, and the thematic maps about land consolidation potential of each village and town in study area are mapped out. The results show that the land consolidation areas are mainly concentrated in the middle of study area.

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