Mine Dynamic Monitoring and Integrated Management Based on RS and GIS

Article Preview

Abstract:

The development of mineral resources is accompanied by serious threats to the geological environment in China. In order to balance mining order, mine environmental protection and ecological restoration, this article examines a case study of Ningwu mining area and proposes an accurate method for mine dynamic monitoring in mining area based on remote sensing (RS), which is a series of technical processes with RS images selection, mine development situation and dynamic monitoring which includes areas change and types transfer. Findings indicate that the area of bauxite pit, bauxite and coal dump increased, the area of coal industrial square decreased, coal dump and industrial square mainly transferred into bauxite pit. The organization and storage model were discussed for results integrated management by spatial database engine (ArcSDE).The application of results retrieval was developed by GIS components. This method can be considered as an effective approach for a wide range of mine development monitoring in mining areas in China.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 955-959)

Pages:

3840-3844

Citation:

Online since:

June 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Guangming Gu, et al. Application of 3S technology to monitoring development and environment conditions in coal mine area[J]. Coal Geology & Exploration, 2006, 5: 015.

Google Scholar

[2] SeUers P J, Los S. 0, Tucker CJ, et aL A revised land surface parameterization (SiB2) for atmospheric GCMS-part two: the generation of global fields of terrestrial biophysical parameters from satellite data[J]. Journal of Climate, 1996, 4(9): 706-737.

DOI: 10.1175/1520-0442(1996)009<0706:arlspf>2.0.co;2

Google Scholar

[3] Iverson L R. Land-use changes in Illinois, ASA: The influence of landscape attributes on current and historic land use[J]. Landscape Ecology, 1988, 2(1): 45-61.

DOI: 10.1007/bf00138907

Google Scholar

[4] Boerner R E J, DeMers M N, Simpson J W, et al. Markov models of inertia and dynamism on two contiguous Ohio landscapes[J]. Geographical Analysis, 1996, 28(1): 56-66.

DOI: 10.1111/j.1538-4632.1996.tb00921.x

Google Scholar

[5] Li Jing. The Research on MGIS of Rare-Earth Mine in Ganzhou, Jiangxi Province[D]. China University of Geoscience (Beijing), 2007 (In Chinese).

Google Scholar

[6] Sun Y Z, Zhao C L, Li Y H, et al. Li distribution and mode of occurrences in Li-bearing Coal Seam 9 from Pingshuo Mining District, Ningwu Coalfield, northern China[J]. Energy Education Science and Technology Part A: Energy Science and Research, 2013, 31(1): 47-58.

DOI: 10.1260/0144-5987.30.1.109

Google Scholar

[7] Yuliang Qiao, et al. Dynamical analysis of coal resources exploitation based on the RS and GIS data fusion [J]. Journal of China Coal Society, 2008, 9: 015.

Google Scholar

[8] Yang J, Weisberg P J, Bristow N A. Landsat remote sensing approaches for monitoring long-term tree cover dynamics in semi-arid woodlands: comparison of vegetation indices and spectral mixture analysis[J]. Remote Sensing of Environment, 2012, 119: 62-71.

DOI: 10.1016/j.rse.2011.12.004

Google Scholar

[9] Zhang C C, Luo W R, Sun X M, et al. Spatial Database Design and Realization of the HuaiHe Detention Basin in HeNan Province[M]. Geo-Informatics in Resource Management and Sustainable Ecosystem. Springer Berlin Heidelberg, 2013: 240-248.

DOI: 10.1007/978-3-642-41908-9_24

Google Scholar

[10] Yang Z Y, Yang J L, Cao X G, et al. Design and Realization of Digital Urban Planning Spatial Database[J]. Advanced Materials Research, 2013, 756: 1824-1827.

DOI: 10.4028/www.scientific.net/amr.756-759.1824

Google Scholar

[11] Dai G, Yee K, Chernyak D. Database system for centralized clinical and research applications with data from wavefront aberrometers: U.S. Patent 8, 597, 282[P]. 2013-12-3.

Google Scholar