scholarly journals Implementation of fuzzy, Simos and strengths, weaknesses, opportunities and threats analysis for municipal solid waste landfill site selection: Adana City case study

2019 ◽  
Vol 38 (1_suppl) ◽  
pp. 45-64 ◽  
Author(s):  
Muge Unal ◽  
Ahmet Cilek ◽  
Esra Deniz Guner
Keyword(s):  
Fuzzy Logic ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Landfill Site ◽  
Limited Area ◽  
Final Decision ◽  
Economic Factors ◽  
Landfill Sites ◽  
Selection Of ◽  
Socio Economic Factors

The selection of suitable landfill locations for municipal solid waste has become a top priority, especially in developed countries as a result of rapid population growth, unplanned urbanisation, increasing waste production and the limited area available. However, determining the location of landfill sites is a complex decision-making problem for municipalities and depends on social, environmental, technical and economic factors and regulations. In this study, we combined a geographic information system (GIS), multi-criteria decision-analysis techniques and fuzzy logic to determine the best location for landfill sites in Adana, Turkey, in four steps. Firstly, the threshold values and the coefficient weights of 15 criteria, grouped into environmental and socio-economic factors, were determined by a literature review and expert opinion to select suitable landfill locations. Secondly, selection criteria were standardised using fuzzy logic. Thirdly, we assessed the criteria weights based on their effectiveness on the selection of potential landfill sites using the Simos method. According to the weight coefficients, environmental factors are more important than socio-economic factors. Final maps for each criterion were calculated and overlaid by a GIS. As a result, the final suitability results were divided into four discrete categories: very high, high, moderate and low suitability areas, representing 1%, 76%, 17% and 6% of the location options, respectively. Finally, four different alternative areas were identified as being very highly suitable for landfill locations, which were evaluated in detail using a strengths, weaknesses, opportunities and threats analysis. Three key aspects affect the final decision of a landfill site, in decreasing order of importance: environmental protection, minimising the negative impact on urban life quality and economic issues. Consequently, these results can guide decision-makers (ministries, municipalities, planners, etc.) during the selection of suitable landfill sites in both national and international studies.

scholarly journals Site selection for municipal solid waste landfills in arid regions based on fuzzy decision-making：A Case Study in the Hexi Corridor of China

2021 ◽  
Author(s):  
Jiamin Liu ◽  
Bin Xiao ◽  
Yueshi Li ◽  
Xiaoyun Wang ◽  
Jizong Jiao ◽  
...  
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Site Selection ◽  
Hexi Corridor ◽  
Landfill Site ◽  
National Standard ◽  
Fuzzy Membership Function ◽  
Continuous Growth ◽  
Msw Landfill ◽  
Landfill Sites

Abstract The rational and scientific selection of Municipal Solid Waste (MSW) landfill sites is becoming increasingly important, due to the continuous growth of MSW worldwide. Multi-source information is employed to ensure the accuracy of the evaluation criteria, including hydrogeological, morphological, environmental, climatic and socio-economic data. In the fuzzy logic environment, a Fuzzy Analytic Hierarchy Process (FAHP) and GIS spatial technique have been utilized to locate potential landfill sites. Landfill Site Selection Results (LSSR) were divided into three categories: suitable, less suitable, and unsuitable. Suitable areas were further divided into high, moderate, and low levels. We used the field investigations of 28 standardized landfill sites in the Hexi Corridor of China that comply with the China National Standard (CNS) to verify the LSSR. These sites are then ranked utilizing group fuzzy MULTIMOORA. These methods were more feasible and accurate in assessing the suitability of MSW landfills. The highlights of our methods were as follows: (1) The uncertainty of AHP expert scoring reduced by employing the fuzzy membership function, and the decision efficiency of spatial analysis improved as well. (2) Verification results showed that the main LSSR met the CNS perfectly and located suitable areas, with an accuracy of 93% (26 out of 28 sites). (3) In the highly suitable areas, 11 candidate areas were selected for the MSW landfill site construction in the Hexi Corridor. Furthermore, technical countermeasures for the standardized management of MSW landfills were proposed for the Hexi Corridor, which is critical for ecological/environmental protection.

scholarly journals GIS based modeling using Analytic Hierarchy Process (AHP) for optimization of landfill site selection of Rohtak city, Haryana (India)

2018 ◽  
Vol 10 (2) ◽  
pp. 633-642 ◽  
Author(s):  
Meena Deswal ◽  
J.S. Laura
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Field Survey ◽  
Boolean Model ◽  
Landfill Site ◽  
Landfill Site Selection ◽  
Site Suitability ◽  
Index Overlay ◽  
Hierarchy Process ◽  
Selection Of

Landfills are the most common method for the disposal of municipal solid waste the world over, as well as in India due to their low technical and economic requirements. The selection of an appropriate site for the establishment of a landfill is a complex process because it must combine social, environmental and technical parameters. The scientific selection of landfill site is based on several diverse criteria (Land Use and Land Cover, ground water table depth, soil permeability, surface water, roads distance, slop etc) and regulations. The study presents the selection of a site for the establishment of a landfill based on several criteria using geographic information system (GIS) based site suitability modeling and analytical hierarchy process (AHP). Site suitability modeling was implemented using Boolean and Index overlay models. Each criterion and sub criteria was evaluated with the aid of AHP to assign a relative weightage in the index overlay model. Rules and criteria’s set by Central Pollution Control Board (CPCB) and Central Public Health and Environmental Engineering Organisation (CPHEEO) were implemented through Boolean model. The combination of the results of the two models generated a map with several suitable sites. Further selection was done on basis of the size requirement of the site, to handle Municipal solid waste (MSW) for next ten years. Two sites having the maximum suitability and also fulfilling the size requirement were shortlisted. Final selection from the two sites was done by a field survey of the sites. Finally the site B was selected on the basis of field survey which revealed it being better on account of certain factors discussed and social acceptability.

scholarly journals THE EFFECT OF SOCIAL ECONOMIC FACTORS ON FARMER BEHAVIOR IN RICE FARMING IN SUMBER KULON VILLAGE, JATITUJUH DISTRICT, MAJALENGKA REGENCY

2020 ◽  
Vol 4 (2) ◽  
pp. 312-320
Author(s):  
Muhammad Nasirudin ◽  
Wulan Sumekar ◽  
Tutik Dalmiyatun
Keyword(s):  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Economic Factors ◽  
Rice Farming ◽  
Land Preparation ◽  
Analysis Techniques ◽  
Farmer Behavior ◽  
Selection Of ◽  
Socio Economic Factors

Farmers' behavior indicates someone already knows good knowledge, attitude and skills in rice farming activities. the purpose of this study is the influence of socio-economic factors on the behavior of farmers in rice farming. This research was conducted on 21 September - 10 November 2019 in Sumber Kulon Village, Jatitujuh District, Majalengka Regency, West Java. The method used in this study is a survey with 240 respondents. Data collection techniques using questionnaires and interviews, while data analysis techniques using descriptive analysis and multiple linear regression analysis. Patani activities in rice farming are started from land preparation, selection of rice seeds, rice seedbed, planting, maintenance, food and post-harvest. The results showed that the influence of socio-economic factors on farmer's behavior in the level of siginification was 0.05 with 0.006, Educational variable was 0.094, experience variable was 0.552, motivation variable was 0.034, acceptance variable was 0.096, media information variable was 0,000 and agricultural extension variables were of 0.010. This can be seen from the contribution of farmers in social factors by 27% of the behavior of farmers because farmers only depend on rice farming activities. The reasons for choosing to keep doing this activity are, among other things, a family business. 

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