Spatial analysis and evaluation of a coal deposit by coupling AHP &amp; GIS techniques

Paraskevis, Nikolaos; Roumpos, Christos; Stathopoulos, Nikolaos; Adam, Kenneth R.

doi:10.1016/j.ijmst.2019.04.002

Cited by 19 publications

(12 citation statements)

References 56 publications

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“…The consistency estimation of the produced weights involves the calculation of the consistency ratio (CR). CR indicates the probability that the matrix values have been randomly generated [55]. Saaty [42] argued that when a matrix has a CR value greater than 10%, it should be re-evaluated [2].…”

Section: The Ahp Modelmentioning

confidence: 99%

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A GIS-Cellular Automata-Based Model for Coupling Urban Sprawl and Flood Susceptibility Assessment

et al. 2021

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In Urban Planning (UP), it is necessary to take under serious consideration the inhibitors of the spread of a settlement in a specific direction. This means that all those parameters for which serious problems may arise in the future should be considered. Among these parameters are geo-hazards, such as floods, landslides, mud movement, etc. This study deals with UP taking into account the possibility of widespread flooding in settlement expansion areas. There is a large flooding history in Greece, which is accompanied by a significant number of disasters in different types of land use/land cover, with a large financial cost of compensation and/or rehabilitation. The study area is the drainage basin of Erasinos River in the Attica Region, where many and frequent flood events have been recorded. The main goal of this study is to determine the flood susceptibility of the study area, taking into account possible factors that are decisive in flood occurrence. Furthermore, the flood susceptibility is also determined, taking into account the scenarios of precipitation and the urban sprawl scenario in the area of reference. The study of flood events uses the Analytic Hierarchy Process (AHP) model and the urban sprawl model SLEUTH, which calibrates historical urban growth, using open and cost-free data and software. Eventually, flood susceptibility maps were overlaid with future urban areas to find the vulnerable areas. Following, three scenarios of flood susceptibility with the corresponding susceptibility maps and vulnerability maps, which measure the flood susceptibility of the current and future urban space of the study area, are presented. The results have shown significant peaks in the moderate class of flood susceptibility, while, in the third scenario, high values of flood susceptibility seem to appear. The proposed methodology and specifically the output maps can serve as a decision support tool to assist urban planners and hazard managers in making informed decisions towards sustainable urban planning.

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Section: The Ahp Modelmentioning

confidence: 99%

“…where G p is the value of each pixel of the main goals is spatial layer and c p i is the value of each pixel of each criterion's spatial layer [55].…”

Section: The Ahp Modelmentioning

confidence: 99%

A GIS-Cellular Automata-Based Model for Coupling Urban Sprawl and Flood Susceptibility Assessment

et al. 2021

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“…For its assessment, a map of predominant plant formations at regional level is made (Figure 2d). A distinction is made between the most predominant formations, and values are assigned to each of them, according to their characteristics and ecological value: urban (5), peatland (5), rock vegetation (2), pre-forest (4), meadow (3), shrubland (3), wetland (5), ferns (1), dump (1), wasteland (1), dunes (5), cultivation (4), heath (3), forest (5) and water (5). Analogous operations as those applied to previous components in terms of rasterization and outcrop projection lead to obtain the results that are also included in Table 10.…”

Section: Map Of Vegetation Impactmentioning

confidence: 99%

“…It should be mentioned that some of these decisions determine the success or failure of a certain project, or a noticeable improvement in the efficiency of an enterprise. The short lifespan and rapid evolution of these tools, and the variability of the factors that can be considered, justify a research that details an optimal methodology to develop this type of analysis, in which all the more relevant factors for the determination of the EI are adequately weighted (weighted analyses have proven to be more effective when compared with the non-weighted ones, as they provide more reliable results [5]). To this end, it is proposed to start from the basis of a definition of the EI that includes all the classic factors (reserves, accesses, weathering, environmental aspects, etc.…”

Section: Introductionmentioning

confidence: 99%

Determination of Environmental Factors for the Implementation of the Exploitability Index in Industrial Aggregate Mining Using Multi-Criteria Analysis

Luis-Ruiz

Salas-Menocal

Fernández-Maroto

et al. 2021

IJGI

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The quality of human life is linked to the exploitation of mining resources. The Exploitability Index (EI) assesses the actual possibilities to enable a mine according to several factors. The environment is one of the most constraining ones, but its analysis is made in a shallow way. This research is focused on its determination, according to a new preliminary methodology that sets the main components of the environmental impact related to the development of an exploitation of industrial minerals and its weighting according to the Analytic Hierarchy Process (AHP). It is applied to the case of the ophitic outcrops in Cantabria (Spain). Twelve components are proposed and weighted with the AHP and an algorithm that allows for assigning a normalized value for the environmental factor to each deposit. Geographic Information Systems (GISs) are applied, allowing us to map a large number of components of the environmental factors. This provides a much more accurate estimation of the environmental factor, with respect to reality, and improves the traditional methodology in a substantial way. It can be established as a methodology for mining spaces planning, but it is suitable for other contexts, and it raises developing the environmental analysis before selecting the outcrop to be exploited.

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“…Spatial analysis of deposit indicators, combined with GIS applications, can provide a useful tool for evaluating a coal deposit in the framework of the corresponding surface mine investment analysis [7]. Furthermore, spatial analysis of coal energy reserves for exploitation planning and quality control can resolve variations of various properties at different scales and identify potentially useful correlations between variables [2].…”

Section: Introductionmentioning

confidence: 99%

Multi-Seam Coal Deposit Modeling via Principal Component Analysis & GIS

et al. 2019

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Spatial modeling and evaluation is a critical step for planning the exploitation of mineral deposits. In this work, a methodology for the investigation of a multi-seam coal deposit spatial variability is proposed. The study area includes the Klidi (Florina, Greece) multi-seam lignite deposit which is suitable for surface mining. The analysis is based on the original data of 76 exploratory drill-holes in an area of 10 km 2 , in conjunction with the geological and geomorphological data of the deposit. The analytical methods include drill-hole data analysis and evaluation based on an appropriate algorithm, principal component analysis and geographic information techniques. The results proved to be very satisfactory for the explanation of the maximum variance of the initial data values as well as the identification of the deposit structure and the optimum planning of mine development. The proposed analysis can be also helpful for minimizing cost and optimizing efficiency of surface mining operations. Furthermore, the provided methods could be applied in other areas of geosciences, indicating the theoretical value as well as the important practical implications of the analysis.

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Spatial analysis and evaluation of a coal deposit by coupling AHP & GIS techniques

Cited by 19 publications

References 56 publications

A GIS-Cellular Automata-Based Model for Coupling Urban Sprawl and Flood Susceptibility Assessment

A GIS-Cellular Automata-Based Model for Coupling Urban Sprawl and Flood Susceptibility Assessment

Determination of Environmental Factors for the Implementation of the Exploitability Index in Industrial Aggregate Mining Using Multi-Criteria Analysis

Multi-Seam Coal Deposit Modeling via Principal Component Analysis & GIS

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