21 research outputs found

    A Review on Solid Waste Site, Landfill Site Allocation Using GIS, Multi Criteria Decision Analysis

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    Increasing use of GIS in various research fields is become a new trend to researchers, and its reason is also appreciable, It is find that GIS and other techniques combine together unexpectedly helps to researchers for doing critical investigations of huge amount of spatial and nonspatial data easily. The main aim of this paper is to review the use of GIS techniques used in sitting solid waste sites and landfills. Sitting solid waste site and landfill site is a very hard and complicated task. It involves various issues which are very sensitive to environment and human life. It is an attempt to find and group together the various researchers’ research thoughts for further study, which will be a guide way for new researchers and solid waste management decision makers. DOI: 10.17762/ijritcc2321-8169.15082

    Suitable Solid Waste Disposal Site Selection Using Geographical Information System: A Case of Debre Markos Town, Ethiopia

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    In this study an effort has been made to identify suitable sites for safe disposal. For proper identification and selection of appropriate sites for solid waste disposal careful and systematic procedures need to be adopted and followed. The main objective of this research was identified the suitable solid waste disposal site by using the GIS-based approaches in Debre markos town. The present study had considered various factors like road networks; rivers, soil, slope, altitude and land use/ land cover for selecting a suitable solid waste disposal site within the study area. The relative weights of the factor were estimated using AHP and factor maps were developed by using GIS spatial operations. The final weighted factor map produced an overall solid waste disposal suitability map. The solid waste disposal site suitability map was presented in four suitability index such as highly suitable, moderately suitable, low suitable and unsuitable. The result shows that around 21% area is highly suitable for solid waste disposal site, 25% is moderately suitable, 28% of study area has low suitable and 26% area is unsuitable for solid waste disposal site. Keywords: Debre markos, GIS, solid waste disposal site DOI: 10.7176/JEES/10-8-03 Publication date:August 31st 202

    Suitable Solid Waste Disposal Site Selection Using Geographical Information System: A Case of Debre Markos Town, Ethiopia

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    In this study an effort has been made to identify suitable sites for safe disposal. For proper identification and selection of appropriate sites for solid waste disposal careful and systematic procedures need to be adopted and followed. The main objective of this research was identified the suitable solid waste disposal site by using the GIS-based approaches in Debre markos town. The present study had considered various factors like road networks; rivers, soil, slope, altitude and land use/ land cover for selecting a suitable solid waste disposal site within the study area. The relative weights of the factor were estimated using AHP and factor maps were developed by using GIS spatial operations. The final weighted factor map produced an overall solid waste disposal suitability map. The solid waste disposal site suitability map was presented in four suitability index such as highly suitable, moderately suitable, low suitable and unsuitable. The result shows that around 21% area is highly suitable for solid waste disposal site, 25% is moderately suitable, 28% of study area has low suitable and 26% area is unsuitable for solid waste disposal site.  Keywords: Debre markos, GIS, solid waste disposal site DOI: 10.7176/CER/12-8-01 Publication date:August 31st 202

    Solid waste dumping site suitability analysis using geographic information system (GIS) and remote sensing for Bahir Dar Town, North Western Ethiopia

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    Solid waste dumping is a serious problem in the urban areas because most solid wastes are not dumped in the suitable areas. Bahir Dar Town has the problem of solid waste dumping site identification. The main  objective of this study was to select potential areas for suitable solid wastedumping sites for Bahir Dar Town, which are environmentally suitable. The main data used for this study were spot image with a spatial resolution of 5 m; digital elevation model (DEM) with 30 m spatial resolution, and ground control point (GCP) collected by ground point survey (GPS) and topographical map of the study area. The maps were prepared by overlay and suitability analysis of geographic information system (GIS), remote sensing techniques and multi criteria analysis methods. The final suitability map was prepared by overlay analyses on Arc map and leveled as high, moderate, less suitable, and unsuitable regions of the study area were determined. The results indicate that 65% of the study area is unsuitable for solid waste dumping; 1.3% less suitable; 21.8% moderately suitable; and 11.9% most suitable. The potential most suitable areas for solid waste dumping sites fall on southern and south eastern part of the town where there are least environmental and health risks. The GIS andremote sensing techniques are important tools for solid waste site selection. Hence, the capacity to use GIS and remote sensing technology for the effective identification of suitable solid waste dumping site will minimize the environmental risk and human health problems.Key words: Dumping site, geographic information system (GIS), remote sensing, multi criteria analysis, solid waste, weight overlay

    Application of remote sensing and GIS for identifying suitable sites for solid waste disposal in Erode Corporation, Tamil Nadu, India

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    1479-1485This investigation focuses on the selection of suitable sites for solid waste dumps in Erode Corporation, Tamil Nadu using Spatial Multi-Criteria Evaluation (SMCE) with the help of Topographical map and Landsat-8 satellite data for the generation of road, water bodies, rivers and drainages, land use/land cover, landforms, geology and soil, slope maps. Use of remote sensing and GIS for distinguishable proof of the sensible objectives of solid waste dumped depends on the overlaying of datasets and spots that fulfill the site suitability criteria. The datasets and spots join the spatial examination devices given by GIS to arrange and survey in order to choose possible waste areas. Finally, in Erode city Municipal Corporation an appropriate dumping zone and few locations for dumping of solid waste are created. A set of twenty-one (21) sites is found to be the most favorable locations for dumping of solid waste. Indeed, SMCE is found to be the best method for the present work

    Analyzing solid waste landfills using satellite imagery and designing new landfill reception areas

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    Solid waste disposal is important for environmental management for good quality of life in urban cities. Among them is the final disposal of waste in landfills. Landfills can receive tons of waste, but they must be far away from natural resources and urban areas. The research aimed to analyze the physical and biological conditions and design a geolocation map of new sanitary landfills in three urban cities in Peru (Chilca, El Tambo and Huancayo). Landsat 8 OLI/TIRS satellite imagery was used to analyze the physical (LST and Methane) and biological (NDVI and SAVI) conditions of the landfills. The geolocation of the landfills was analyzed through the relationship, intersection and discrimination between their surface criteria (soil type, current use, geology and physiography) and climatic factors (temperature, humidity and precipitation). The physical and biological conditions of the landfills were: CH4: Chilca 8.33g > Huancayo 4.76g > El-Tambo 3.17g; SAVI: Chilca 0.61 > El Tambo 0.54 > Huancayo 0.51; LST: Huancayo 26.15°C > Chilca 24.03°C > El Tambo 22.75°C; NDVI: Chilca 0.85 > Huancayo 0.81 > El Tambo 0.8. In the three cities, "natural grasslands" were considered suitable land for the new solid waste landfill site. The multiple relationship, intersection, and discrimination of surface criteria and climatic factors were categorized into five types of sustainable geolocation (very appropriate > appropriate > moderately adequate > less appropriate > inappropriate) for new solid waste landfills. It was very important to discount the influence areas (rivers and lagoons) to avoid damaging the natural resources.      

    Landfill Site Selection for Solid Waste Using GIS-based Multi-Criteria Spatial Modeling: TaqTaq Sub-district in Iraqi Kurdistan Region as a Case

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    This study gains insight into landfill sites with the observance of all the political, economic and environmental difficulties for the implementing appropriate site measures by adopting a collection of geospatial technique and weighted linear combination (WLC) in TqaTaq sub-district. In the current study, there are several areas determined as appropriate sites for landfill location. In this study, the criteria of distance from the roads, the city center, rivers, surface water, and land use map were used. According to this analysis, only 25.21% of the TaqTaq sub district is suitable for a landfill. Thus, basing on the findings, 20.93% of the concerned sub-district is regarded as least adequate site for this mission, whereas only 3.25% of the area is regarded as moderate suitable. Thus, this study has found out that 1.03% area is the most suitable. The majority of suitable area was located in the North of the Town, where waste production is more than other locations. It should be noted that based on the outcome of this study, the amount of waste produced in the TaqTaq Town for the next 10 years, from 2022 to 2032, is predicted to be about 4080 tons. According to the density calculated for the waste of this area and considering the height of 4 m for the landfill center, in the next 10 years, about 3000 m2 of land is required for the landfill location. Since the suitable area found in this research is about 15 hectares

    Selection of Wastewater Treatment Plant Site for Bahir Dar Town, Ethiopia Using Multi-Criteria Analysis on GIS platform

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    The siting of wastewater treatment plant is an extremely complex task mainly due to the fact that the identification and selection process involves many factors and strict regulations. For proper identification and selection of appropriate sites for wastewater treatment plants careful and systematic procedures need to be adopted and followed. The main objective of this research was to find the environmentally and economically suitable location of wastewater treatment plant by using the GIS-based MCA approaches in Bahir Dar town. The present study had integrated road networks, rivers/streams, lake, geology, soil, slope, elevation, wind direction, groundwater wells, groundwater table, rural settlements, urban settlements and land use/ land cover for selecting a suitable wastewater treatment plant site within the study area. The relative weights of the factor were estimated using AHP and criteria maps were developed by using GIS spatial operations. Weighted linear combination was used to integrate weight with the factor maps. The final integration of weighted factor map and constraint map produced an overall wastewater treatment plant suitability map. The wastewater treatment plant site suitability map was presented in four suitability index such as highly suitable, moderately suitable, low suitable and unsuitable. The result shows that around 6.08% area is highly suitable for wastewater treatment plant site, 1.83% is moderately suitable, 0.61% of study area has low suitability and 91.48% area is unsuitable for wastewater treatment plant site. Among the highly suitable areas, five sites were selected and revaluated in terms of road network, river/streams, lake, geology, soil, slope, elevation, wind direction, groundwater wells, groundwater table, rural settlements, urban settlements and land use/land cover to select the optimal suitable site. Finally, site 4 was proposed as the most preferred option for the construction of the wastewater treatment plant site with the minimum effects on economic, environment risk and public health. Keywords: Bahir Dar, GIS, MCA, Site selection, Wastewater Treatment Plant DOI: 10.7176/CER/13-3-02 Publication date:May 31st 202

    GIS Based Site Suitability Analysis for Location of a Sugar Factory in Trans Mara District

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    Domestic sugar production in Kenya does not meet consumption demand. Consequently, expanded production and creation of more sugar mills within regions of high agricultural potential is necessary for expansion of the industry. Suitable arable land for such projects in Kenya is scarce, and essentially planners must select the best use of this resource to uphold sustainability. Although locating optimum sites for new industrial investments is important, it involves evaluation of conflicting criteria with large sets of alternatives. The complex nature of finding industrial investment locations requires a technique that can combine geographical data with value judgments. This research aims at finding the most suitable sites for a sugar factory in Trans Mara district in Kenya, using GIS based Multi-criteria evaluation. Nine factors including slope, an existing factory location, roads, rivers, electricity sources, land use, soil texture, rainfall, and temperature were selected based on reviewed literature and opinion of experts. Selected factors were then organized into two broad principal classes including physical site conditions and sugarcane crop requirements. Digital data on selected factors was acquired from various governmental institutions, stored, harmonized and geo-processed in Arc GIS 10.1 platform to generate factor maps. Analytical hierarchy process (AHP) was used to elicit weights which were assigned to each factor. Weighted factor maps were finally standardized, reclassified and combined by weighted linear combination (WLC) aggregation method. The composite suitability map produce

    Use of a Combination of MRSS-ANP for Making an Innovative Landfill Siting Decision Model

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    Landfill siting is a complex, multicriteria decision-making problem that needs an extensive evaluation of environmental, social, land use, and operational criteria. Integration of a median ranked sample set (MRSS) and an analytic network process (ANP) has been implemented to rank the associated criteria and select a suitable landfill site. It minimizes the uncertainty and the subjectivity of human judgments. Four groups of experts with different backgrounds participated in this study, and each group contained four experts. The respondent preferences were ranked in a 4-by-4 matrix to obtain the judgment sets for the MRSS. These sets were subsequently analyzed using ANP to obtain the priorities in the landfill siting criteria. The results show that land topology and distance from surface water are the most influential factors, with priorities of 0.18 and 0.17, respectively. The proposed integrated model may become a promising tool for the environmental planners and decision makers
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