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Research On The Development Law And Environmental Effect Of Typical Mine Debris Flow In Qinling Mountains

Posted on:2009-03-05Degree:DoctorType:Dissertation
Country:ChinaCandidate:X C XueFull Text:PDF
GTID:1100360245972930Subject:Mining engineering
Abstract/Summary:PDF Full Text Request
Qinling Mountains is an important dividing line of south and north China, with high and sleep slopes, weathered rock mass and centralized rainstorm, Qinling Mountains is an area where natural debris flow occurs frequently. It is the unique geological condition of mineralization that bred the rich mineral resource, which is rich in polymetallic mineral resources of Pb, Zn, Au, Mo, Sb.As a result of mineral resource's high strength development, intense perturbation of mining activities on the geological environment, as well as reckless stack of waste Slag, waste rock and tailings, It also has been superposed the more serious hidden danger of mine debris flow, and brings negative effect of environment which mainly manifested as heavy metal diffusion.Taking typical metal mine debris flow in Qinling mountains as the object of study, through prototype investigation and study, parameter extraction, sampling test and mapping analysis, synthesized using geological analysis, model computation, gray system and fractal theory, the author have systematically studied the formation condition of mine debris flow and its master control factor, developmental mechanism and fractal characteristic. With the aid of fractal geometry, through to fractal computation of material sources granularity and watershed topography, the author has initially discussed the inner link between these fractal dimensions and the risk, stable ,fluid nature of mine debris flow.According to the geological condition background, present situation of mineral resources exploitation and formative factor of mine debris flow, a set of index system has been established which can evaluate the risk of mine debris flow. By comprehensive use of gray system, fuzzy mathematics, immunity genetic algorithm and artificial neural networks, the non-linear mathematics composite model has been established for the risk evaluation of mine debris flow. With the aid of Visual Basic 6.0 and Access programming language, the author has developed independently"The risky intelligence appraisal system of mine debris flow Based on the IGA-BP", and has confirmed accuracy and reliability for software system which take the mine debris flow as an example.Through systematically gathering samples of slag, tailings, soil, surface water, sediment and plant tissue, by means of analytical facilities such as graphite oven atom absorption spectrophotometer, each kind of sample element content such as Zn, Pb, Cd, Cr, Cu has been obtained.The author has systematically analyzed concentration, migration and transformation rules of heavy metal ingredient in slag, tailings, soil, surface water, sediment and plant tissue, as well as has initially confirmed environment negative effect of material source for mining debris flow on soil, water and plants in gully watershed..
Keywords/Search Tags:Qinling mountains, Mine debris flow, Risk assessment, Immune genetic algorithm, BP neural network, Environmental effect
PDF Full Text Request
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