Submit an Article
Become a reviewer
Vol 167 No 1
Pages:
97-99
Download volume:
RUS
Research article
Mining. Ecology

Estimation of technogenic impact of tailing dump of Mikhailovsky MPP on adjacent agrolandscapes

Authors:
I. K. Ponurova
About authors
  • Postgraduate student G.V. Plekhanov Saint Petersburg Mining Institute
Date submitted:
2005-06-15
Date accepted:
2005-07-04
Date published:
2006-01-01

Abstract

In mining and industrial areas, the air basin is polluted mainly by dust, which has a negative impact on the adjacent landscapes and public health. One of the powerful sources of dust emissions is dusty surfaces of tailings containing heavy metals. The results of the conducted researches of iron-ore enrichment waste prove the necessity of searching for rational means and ways to reduce dust emissions into the atmosphere of tailing dump surfaces. The article presents the results of analysis and assessment of the negative impact of the mining and metallurgical enterprise on the components of the natural environment and public health.

Go to volume 167

References

  1. Израэль Ю.А. Проблемы всестороннего анализа окружающей среды и принципы комплексного мониторинга. Л.: Гидрометеоиздат, 1988.
  2. Котлов В.Ф. Рациональное использование земной коры. М.: Недра, 1974.
  3. Пашкевич М.А. Техногенные массивы и их воздействие на окружающую среду. Санкт-Петербургский горный ин-т. СПб, 2000.

Similar articles

Justification of application of new composite materials in plugging solutions for cementing the borehole borehole space in the interval of perforation works
2006 R. A. Usmanov
Development of small watered placers by mini-drakes
2006 D. S. Opryshko
Investigation of the efficiency of the cutting slot to reduce seismic impact during tunnel construction
2006 E. Yu. Vinogradova
Influence of position of the spacer plate on force loading of details of the jaw crusher with complex motion of the movable jaw
2006 N. S. Golikov
Choice of rational technology of development of V. Grib diamondiferous pipe
2006 M. A. Vorona
Intellectual algorithms of electric drive control of oil and gas pumping units on the basis of neural networks
2006 A. S. Ivanov