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Journal ArticleDOI

Geospatial strategy for sustainable management of municipal solid waste for growing urban environment.

01 Apr 2012-Environmental Monitoring and Assessment (Springer Netherlands)-Vol. 184, Iss: 4, pp 2419-2431
TL;DR: This paper presents the implementation of a Geospatial approach for improving the Municipal Solid Waste disposal suitability site assessment in growing urban environment using Multi Criteria Geographical Information System and Remote Sensing for selection of suitable disposal sites.
Abstract: This paper presents the implementation of a Geospatial approach for improving the Municipal Solid Waste (MSW) disposal suitability site assessment in growing urban environment. The increasing trend of population growth and the absolute amounts of waste disposed of worldwide have increased substantially reflecting changes in consumption patterns, consequently worldwide. MSW is now a bigger problem than ever. Despite an increase in alternative techniques for disposing of waste, land-filling remains the primary means. In this context, the pressures and requirements placed on decision makers dealing with land-filling by government and society have increased, as they now have to make decisions taking into considerations environmental safety and economic practicality. The waste disposed by the municipal corporation in the Bhagalpur City (India) is thought to be different from the landfill waste where clearly scientific criterion for locating suitable disposal sites does not seem to exist. The location of disposal sites of Bhagalpur City represents the unconsciousness about the environmental and public health hazards arising from disposing of waste in improper location. Concerning about urban environment and health aspects of people, a good method of waste management and appropriate technologies needed for urban area of Bhagalpur city to improve this trend using Multi Criteria Geographical Information System and Remote Sensing for selection of suitable disposal sites. The purpose of GIS was to perform process to part restricted to highly suitable land followed by using chosen criteria. GIS modeling with overlay operation has been used to find the suitability site for MSW.

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Citations
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Journal ArticleDOI
TL;DR: In this article, the authors highlighted the importance of digital change detection techniques for nature and location of change of the Hawalbagh block in district Almora, Uttarakhand, India.

544 citations


Cites methods from "Geospatial strategy for sustainable..."

  • ...Pandey et al. (2012) presented the implementation of a Geospatial approach for improving the Municipal Solid Waste (MSW) disposal suitability site assessment in growing urban environment....

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Journal ArticleDOI
TL;DR: In this article, the authors used remote sensing and GIS tools for studying land use/land cover change and integrating the associated driving factors for deriving useful outputs. And they used the CA-Markov Chain Model (CAMCM) to identify the spatial and temporal changes that have occurred in LULC in this area.
Abstract: Remote sensing and GIS are important tools for studying land use/land cover (LULC) change and integrating the associated driving factors for deriving useful outputs. This study is based on utilization of Earth observation datasets over the highly urbanized Allahabad district in India. Allahabad district has experienced intense change in LULC in the last few decades. To monitor the changes, advanced techniques in remote sensing and GIS, such as Cellular Automata (CA)-Markov Chain Model (CAMCM) were used to identify the spatial and temporal changes that have occurred in LULC in this area. Two images, 1990 and 2000, were used for calibration and optimization of the Markovian algorithm, while 2010 was used for validating the predictions of CA-Markov using the ground based land cover image. After validating the model, plausible future LULC changes for 2020 were predicted using the CAMCM. Analysis of the LULC pattern maps, achieved through classification of multi-temporal satellite datasets, indicated that the socio-economic and biophysical factors have greatly influenced the growth of agricultural lands and settlements in the area. The two urbanization indicators calculated in this study viz. Land Consumption Ratio (LCR) and Land Absorption Coefficient (LAC) were also used, which indicated a drastic change in the area in terms of urbanization. The predicted LULC scenario for year 2020 provides useful inputs to the LULC planners for effective and pragmatic management of the district and a direction for an effective land use policy making. Further suggestions for an effective policy making are also provided which can be used by government officials to protect this important land resource.

235 citations


Cites methods from "Geospatial strategy for sustainable..."

  • ...In this study, an integrated approach was applied to reach the following objectives: (i) to analyze the temporal and spatial changes in the study area in 1990–2000–2010; (ii) to simulate and predict land use change for years 2010 and 2020 based on CAMCM to preserve the unique natural characteristics; (iii) to provide values for two urban indicators, LCR and LAC....

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  • ...LAC changed from 0.00621 to 0.00009 and from 0.00009 to 0.00018 between periods 1990–2000 and 2000–2010, respectively (with respect to the built up area), whereas LCR changed from 0.00011 to 0.00013 and from 0.00013 to 0.00012 between periods 1990–2000 and 2000–2010, respectively (with respect to the built up area), which shows how changes are governing in the study area....

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  • ...The changes in the LAC and LCR values are shown in Table 10....

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  • ...Two different indices are used for measuring urban expansions: LCR and LAC (Sharma et al. 2012; Pandey et al. 2012; Kumar et al. 2013)....

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  • ...3.5 LCR and LAC with urbanization The annual population growth (n) and estimated population (Pn) was also calculated (Table 9)....

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Journal ArticleDOI
TL;DR: In this paper, the authors proposed a morphometric analysis and prioritization of ten mini-watersheds of Malesari watershed, situated in Bhavnagar district of Saurashtra region of Gujarat state, India.
Abstract: Geographical information system and remote sensing are proven to be an efficient tool for locating water harvesting structures by prioritization of mini-watersheds through morphometric analysis. In this study, the morphometric analysis and prioritization of ten mini-watersheds of Malesari watershed, situated in Bhavnagar district of Saurashtra region of Gujarat state, India, are studied. For prioritization of mini-watersheds, morphometric analysis is utilized by using the linear parameters such as bifurcation ratio, drainage density, stream frequency, texture ratio, and length of overland flow and shape parameters such as form factor, shape factor, elongation ratio, compactness constant, and circularity ratio. The different prioritization ranks are assigned after evaluation of the compound factor. Digital elevation model from Shuttle Radar Topography Mission, digitized contour, and other thematic layers like drainage order, drainage density, and geology are created and analyzed over ArcGIS 9.1 platform. Combining all thematic layers with soil and slope map, the best feasibility of positioning check dams in mini-watershed has been proposed, after validating the sites through the field surveys.

152 citations


Cites methods from "Geospatial strategy for sustainable..."

  • ...It is an effective tool for integration of spatial data to derive useful outputs and for modeling (Gupta and Srivastava 2010; Srivastava et al. 2010; Pandey et al. 2012; Srivastava et al. 2012b, d; Thakur et al. 2012)....

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Journal ArticleDOI
TL;DR: A literature review of multi-criteria decision-making applications used in solid waste management is presented, to offer a critical assessment of the current practices, and provide suggestions for future works.

118 citations

Journal ArticleDOI
TL;DR: In this paper, a morphometric analysis of river basin helps to explore the interrelationship between hydraulic parameters and geomorphologic characteristics and the study has been conducted in the Upper Tons basin of Northern Foreland of Peninsular India.
Abstract: The morphometric analysis of river basin helps to explore the interrelationship between hydraulic parameters and geomorphologic characteristics. The study has been conducted in the Upper Tons basin of Northern Foreland of Peninsular India. The river basin has been characterized using the topographical maps, CARTOSAT satellite image integrated using the GIS techniques. The drainage density analysis indicates lower values in the north-eastern regions and thus these regions can be categorized as better ground water potential zone. There are in total 10 sub-watersheds which have been delineated; SW-4 has maximum drainage density (4.75), stream frequency (5.61) and drainage texture (26.64) followed by SW-6–10. The prioritized sub-watershed numbers SW-4 and SW-6–10 need conservation practices because of their high erodibility and run-off. SW-1–3 and SW-5 regions have better permeable bed rocks and hence good for water harvesting. The areal parameter indicates elongated shape of basin and moderate to steeper gro...

99 citations


Cites background from "Geospatial strategy for sustainable..."

  • ...…the ability to generate, manipulate, store and process the spatial data very fast and provide high quality output (Srivastava et al. 2008; Sharma et al. 2012; Srivastava et al. 2012d) and efficiently integrate thematic layers for geospatial perspective (Pandey et al. 2012; Srivastava et al. 2013)....

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  • ...2012d) and efficiently integrate thematic layers for geospatial perspective (Pandey et al. 2012; Srivastava et al. 2013)....

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References
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Journal ArticleDOI
TL;DR: Research findings show that the proposed SDSS may aid in recognizing the pros and cons of potential areas for the localization of landfill sites in any study region.

590 citations


"Geospatial strategy for sustainable..." refers background or methods in this paper

  • ...These sites are identified using a single-objective multi-criteria analysis (Chang et al. 2008)....

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  • ...While locating the most suitable site, there would be certain factor which would be taken into account (Chang et al. 2008)....

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  • ...identified using a single-objective multi-criteria analysis (Chang et al. 2008)....

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Journal ArticleDOI
TL;DR: In this paper, a multi-criteria evaluation (MCE) method called weighted linear combination (WLC) was used to evaluate the suitability of the study region for landfill.
Abstract: Landfill has been taken to the bottom of the hierarchy of options for waste disposal but has been the most used method for urban solid waste disposal. However, landfill has become more difficult to implement because of its increasing cost, community opposition, and more restrictive regulations regarding the siting and operation of landfills. Land is a finite and scarce resource that needs to be used wisely. Appropriate allocation of landfills involves the selection of areas that are suitable for waste disposal. The present work describes a type of multi-criteria evaluation (MCE) method called weighted linear combination (WLC) in a GIS environment to evaluate the suitability of the study region for landfill. The WLC procedure is characterized by full tradeoff among all factors, average risk and offers much flexibility than the Boolean approaches in the decision making process. The relative importance weights of factors are estimated using the analytical hierarchy process (AHP). In the final aggregated suitability image, zones smaller than 20 hectares are eliminated from the allocation process. Afterwards, the land suitability of a zone is determined by calculating the average of the suitability of the cells belonging to that zone, a process called zonal land suitability. The application of the presented method to the Gorgan city (Iran) indicated that there are 18 zones for landfill with their zonal land suitability varying from 155.426117 to 64.149024. The zones were ranked in descending order by the value of their zonal land suitability. The results showed the use of GIS as a decision support system (DSS) available to policy makers and decision makers in municipal solid waste (MSW) management issues.

161 citations


"Geospatial strategy for sustainable..." refers background in this paper

  • ...more restrictive regulations regarding the siting and operation of landfills (Gholamalifard et al. 2006)....

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  • ...Landfill has become more difficult to implement because of its increasing cost, community opposition, and more restrictive regulations regarding the siting and operation of landfills (Gholamalifard et al. 2006)....

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Journal ArticleDOI
TL;DR: In this article, a model linking RTCE to GDP has been developed and utilised to estimate the amounts of the individual fractions in the total municipal solid waste (MSW) generated.
Abstract: The economically-viable and environmentally-acceptable disposal of municipal solid waste (MSW) is a major concern in many industrialised countries. The main problem facing policy makers in the waste management sector is how to predict the amount and the composition of MSW that is likely to be generated in the near future in order to devise the most appropriate treatment/disposal strategy. Published data on MSW arisings in European countries during the period 1980–1993 and those for the USA between 1960 and 1993 have been correlated with the corresponding figures for the gross domestic product (GDP) and population. The typical composition of MSW has been expressed in terms of the fraction of the total consumer expenditure on goods and products resulting in the generation of MSW, i.e. related total consumer expenditure (RTCE). A model linking RTCE to GDP has been developed and utilised to estimate the amounts of the individual fractions in the total MSW generated. The correlations permit highly-accurate predictions of the total amount of MSW arisings to be obtained both for European countries and the USA. Deviations between the predicted and measured values are, however, much lower in the case of the USA, because the corresponding model is based on data for a single country. Good matches between the predicted and measured figures for the individual fractions of the MSW also ensue. However, the model for predicting the individual fractions in the MSW for the European countries is based solely on information available for the UK.

153 citations


"Geospatial strategy for sustainable..." refers background in this paper

  • ...The main parameters affecting the quantity and composition of the MSW generated are population growth and increased living standard of the people (Daskalopoulos et al. 1998)....

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Journal ArticleDOI
TL;DR: In this paper, a siting model for raster-based GIS is proposed to locate an optimal site when compactness and other factors are simultaneously considered, and a mixed-integer programming model is developed to obtain a site with optimal compactness.
Abstract: Siting a landfill typically requires processing a significant amount of spatial data with respect to various siting rules, regulations, factors, and constraints. Manually performing such a spatial analysis with drawing tools is generally tedious. A modern geographical information system (GIS), although capable of manipulating spatial data to facilitate the analysis, lacks the ability to locate an optimal site when compactness and other factors are simultaneously considered. An appropriate siting model was therefore explored for use with a raster-based GIS. A mixed-integer programming model was developed to obtain a site with optimal compactness. A comparison was made between the model and two other previously proposed models in terms of their applicability and simplicity for raster-based data. The compactness model was further extended to include multiple siting factors with weights determined using map layer analysis functions provided by a GIS. This multifactor model was applied to analyze the effects of varied weights and factors on making a siting decision.

122 citations


"Geospatial strategy for sustainable..." refers background in this paper

  • ...Kao and Lin (1996) have suggested that the appropriate slope for constructing a landfill is about 8–12% because too steep of a slope would make it difficult to construct and maintain and too flat of a slope would affect the runoff drainage....

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Journal ArticleDOI
TL;DR: In this article, a study was conducted using satellite remote sensing data Landsat MSS (Multi-spectral Scanner), ETM+(Enhanced Thematic Mapper), IRS P-6 (Indian Remote Sensing Satellite), LISS IV (Linear Imaging Self-Scanner), and IRSP-5 Cartosat-1 for the assessment of urban area change dynamics between years 1976 and 2008 in Bhagalpur city in the state of Bihar in India.
Abstract: Land consumption is increasing rapidly with the exponential growth of population. The built-up environment configuration influences the management processes for development and other municipality works. Population growth also affects the availability of land for different purposes in its spatial distribution. The present study was conducted using satellite remote sensing data Landsat MSS (Multi-spectral Scanner), ETM+ (Enhanced Thematic Mapper), IRS P-6 (Indian Remote Sensing Satellite), LISS IV (Linear Imaging Self-Scanner), and IRS P-5 Cartosat-1 for the assessment of urban area change dynamics between years 1976 and 2008 in Bhagalpur city in the state of Bihar in India. The ground truth and coordinate points were collected using a Global Positioning System (GPS) for the location of the built-up themes prepared in the Geographic Information System (GIS). Land Consumption Rate (LCR) and Land Absorption Coefficient (LAC) were introduced to aid in the quantitative assessment changes. The results show a rap...

85 citations


"Geospatial strategy for sustainable..." refers background in this paper

  • ...…wastewater treatment plant suitability (Gemitzi et al. 2007; Finn et al. 2006; Gilliland and Potter 2007; Zhao et al. 2009; Kallali et al. 2007; Huffmeyer et al. 2009) and also efficiently used for assessment of land consumption rate with increasing rate of population growth (Sharma et al. 2011)....

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  • ...2009) and also efficiently used for assessment of land consumption rate with increasing rate of population growth (Sharma et al. 2011)....

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