Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)

Study on land reclamation of soil dump and tailing pond in mining area

Authors
Wencai Wang, Jingwen Zhao, Peng Fu
Corresponding Author
Wencai Wang
Available Online November 2016.
DOI
10.2991/icmia-16.2016.25How to use a DOI?
Keywords
mine; dump; tailing; reclamation technology
Abstract

The plant disposition pattern of the soil dump and tailing pond in a metal mine is defined as the model of grass, shrub and arbor, on which based the restrictive factors of land reclamation in mining area, the optimal allocation principle of vegetation and the experimental research on field. The method of land reclamation in the dump of mining area is about dumping and reclamation simultaneously. The thickness of the land cover of land reclamation is about 50 cm. The reclamation method of tailing pond is to implement measures of engineering obstruction by covering surface soil stripped first, and then using excrement of animals like sheep and cow as organic fertilizer to improve the soil. In the end, the suitable vegetation is planted.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-256-5
ISSN
1951-6851
DOI
10.2991/icmia-16.2016.25How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Wencai Wang
AU  - Jingwen Zhao
AU  - Peng Fu
PY  - 2016/11
DA  - 2016/11
TI  - Study on land reclamation of soil dump and tailing pond in mining area
BT  - Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
PB  - Atlantis Press
SP  - 135
EP  - 141
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-16.2016.25
DO  - 10.2991/icmia-16.2016.25
ID  - Wang2016/11
ER  -