Evaluation of pollution levels at an abandoned coal mine site in Turkey with the aid of GIS

Yenilmez, Firdes; Kuter, Nazan; Emil, M. K.; Aksoy, Ayşegül

doi:10.1016/j.coal.2010.11.012

Cited by 61 publications

(21 citation statements)

References 9 publications

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“…An approach to identify the key factors of the impact on soil erosion induced by coal mining subsidence, based on the Revised Universal Soil Loss Equation (RUSLE) model and using GIS, was also explored by Lei et al [27,28]. Yenilmez et al [29] used GIS tools to evaluate the pollution levels at an abandoned coal mine site at Ovacik-Yaprakli (Cankiri, Turkey) with respect to topography and surface runoff, using a GIS software. It was demonstrated that GIS analysis tools are useful to identify areas with a high concentration of pollutants, which helps to prevent the overlook of highly contaminated sites.…”

Section: Introductionmentioning

confidence: 99%

Distributed Temperature Measurement in a Self-Burning Coal Waste Pile through a GIS Open Source Desktop Application

Duarte

Teodoro

Gonçalves

et al. 2017

IJGI

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Geographical Information Systems (GIS) are often used to assess and monitor the environmental impacts caused by mining activities. The aim of this work was to develop a new application to produce dynamic maps for monitoring the temperature variations in a self-burning coal waste pile, under a GIS open source environment-GIS-ECOAL (freely available). The performance of the application was evaluated with distributed temperature measurements gathered in the S. Pedro da Cova (Portugal) coal waste pile. In order to obtain the temperature data, an optical fiber cable was disposed over the affected area of the pile, with 42 location stakes acting as precisely-located control points for the temperature measurement. A monthly data set from July (15 min of interval) was fed into the application and a video composed by several layouts with temperature measurements was created allowing for recognizing two main areas with higher temperatures. The field observations also allow the identification of these zones; however, the identification of an area with higher temperatures in the top of the studied area was only possible through the visualization of the images created by this application. The generated videos make possible the dynamic and continuous visualization of the combustion process in the monitored area.

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Section: Introductionmentioning

confidence: 99%

Distributed Temperature Measurement in a Self-Burning Coal Waste Pile through a GIS Open Source Desktop Application

Duarte

Teodoro

Gonçalves

et al. 2017

IJGI

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“…Multi-temporal images such as those from ASTER, Landsat, and MODIS sensors have generally been used for land cover monitoring, as they have a rapid revisit time and widely available spectral wavelengths. Land cover monitoring is analysed at different scales, with spatial resolutions varying from 15 to 1000 meters, but low spatial resolution is not sufficient for detailed analysis [8][9][10][11]. Synthetic-aperture radar (SAR) images have been employed because they can be acquired the data regardless of the weather condition [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Image Fusion-Based Land Cover Change Detection Using Multi-Temporal High-Resolution Satellite Images

Wang

Choi

et al. 2017

Remote Sensing

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Abstract:Change detection is usually treated as a problem of explicitly detecting land cover transitions in satellite images obtained at different times, and helps with emergency response and government management. This study presents an unsupervised change detection method based on the image fusion of multi-temporal images. The main objective of this study is to improve the accuracy of unsupervised change detection from high-resolution multi-temporal images. Our method effectively reduces change detection errors, since spatial displacement and spectral differences between multi-temporal images are evaluated. To this end, a total of four cross-fused images are generated with multi-temporal images, and the iteratively reweighted multivariate alteration detection (IR-MAD) method-a measure for the spectral distortion of change information-is applied to the fused images. In this experiment, the land cover change maps were extracted using multi-temporal IKONOS-2, WorldView-3, and GF-1 satellite images. The effectiveness of the proposed method compared with other unsupervised change detection methods is demonstrated through experimentation. The proposed method achieved an overall accuracy of 80.51% and 97.87% for cases 1 and 2, respectively. Moreover, the proposed method performed better when differentiating the water area from the vegetation area compared to the existing change detection methods. Although the water area beneath moderate and sparse vegetation canopy was captured, vegetation cover and paved regions of the water body were the main sources of omission error, and commission errors occurred primarily in pixels of mixed land use and along the water body edge. Nevertheless, the proposed method, in conjunction with high-resolution satellite imagery, offers a robust and flexible approach to land cover change mapping that requires no ancillary data for rapid implementation.

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“…Latifovic et al (2005Latifovic et al ( , 2006 investigated changes in forest areas due to mining activities near Fort McMurray in Canada. Yenilmez et al (2011) investigated pollution levels at an abandoned coal mine site in Cankiri (north-central Turkey) which were evaluated with respect to topography and surface runoff pathways derived using GIS tools. Oh and Lee (2011) used GIS to generate ground subsidence hazard maps of abandoned coal mines in Samcheok, Korea.…”

Section: Introductionmentioning

confidence: 99%

Change detection and visualization of acid mine lakes using time series satellite image data in geographic information systems (GIS): Can (Canakkale) County, NW Turkey

Yücel

Baba

2014

Environ Earth Sci

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Can, a county in the province of Canakkale, is one of the most prominent coal mining districts in Turkey. Many mining companies have been operating coal deposits for power generation and district heating in this region since 1980. Generally, small and medium-scale mining companies operate for short periods and abandon the operational land without providing any rehabilitation. Human intervention in the natural structure and topography of the earth surface causes large holes and deterioration in these areas. Artificial lakes occur because of surface discharge and underground leakage into abandoned open pit mines with high lignite sulfur content (0.21-14.36 wt %). Furthermore, these lakes gain acidic character due to acid generation from pyrite oxidation. Acid mine lakes are highly acidic (pH \ 3.05) and have elevated concentrations of SO 2À 4 , Fe and some metals. The main objective of this study is to evaluate the environmental conditions and demonstrate the development of a monitoring system for their possible changes in the acid mine lakes of the open cast lignite mining area on a regional scale. For this purpose, the data received from remote sensing satellites were used. Areal change detection and perimeter changes of nine acid mine lakes caused by coal mining companies in Can from 1977 to 2011, were determined using Landsat, Quickbird and Worldview satellite images. As a case study, an area of 9 km 2 was chosen for the variety of acid mine lakes. Using GIS software, satellite images were analyzed in time series, borders of acid mine lakes were digitized and converted into vector data format. At this stage, prior to the digitization, in order to create contrast on the satellite images, ''stretch type'' and ''stretch values'' were changed. The areal and perimeter changes were computed and presented via tables and graphics. In addition, thematic maps of the acid mine lakes were created and visualized. The results show that the number of acid mine lakes increased and these caused environmental risks due to their hydrochemical properties and areal increments.

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Evaluation of pollution levels at an abandoned coal mine site in Turkey with the aid of GIS

Cited by 61 publications

References 9 publications

Distributed Temperature Measurement in a Self-Burning Coal Waste Pile through a GIS Open Source Desktop Application

Distributed Temperature Measurement in a Self-Burning Coal Waste Pile through a GIS Open Source Desktop Application

Image Fusion-Based Land Cover Change Detection Using Multi-Temporal High-Resolution Satellite Images

Change detection and visualization of acid mine lakes using time series satellite image data in geographic information systems (GIS): Can (Canakkale) County, NW Turkey

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