Theoretical Discussions On The Geochemical Quantitative Prediction For Potential Of Mineral Resources And Corresponding Practical Methods

Mineral resource potential prediction has been a very important researchfield in the field of earth science. At present quantitative prediction is a frontierdirection of Mineral resource potential prediction. The quantitative prediction ofdifferent scale of minerogenic series is a key problem that needs to be solvedurgently. Geochemical anomalies can focus on the mineralization scale ofminerogenic series in the scale of metallogenic belt, concentration ofmetallogennesis, ore field and mineral deposit. According to the research ofthe formation regularity of ore field and mineral deposit geochemical anomalies,denudation amount of ore field and mineral deposit was able to revealed byspatial structure quantitative model;Thus, the new methods of predictingminerogenic series resource potential were studied. In addition, according tothe research result of geochemical factor coefficient constraining minerogenicseries reserve, the quantitative prediction model of factors coincidence hadbeen established triumphantly.Main achievements of this text lists below:Explored a new quantitive mothod of spatial structure's evolving in theresearch of surface geochemistry Element migration in soil or stream sediment is process of fractal evolve.The tests illustrated that the new method was able to reveal constrain factors,energy coefficients, geochemical mechanism and degree of spatial structure'sevolving in the process of element migration. Thus it can provide a newmethod for revealing quantificationally natural law in the field of complicatedgeological process.Formulated a spatial power model in the process of element formmigration in soil The distribution characteristic of element content with chemical fractaldimension and element form with its fractal dimension in soil layer was studied.Predominant factor coefficient constraining element form migration in soil wascomputed. Driving force of element migration was able to characterize byspatial energy coefficient. The mechanism of element migration had beenrevealed. The research showed that the spatial power model representcharacteristic of element form migration in soil.Formulated a spatial power model of element form distributioncoefficient in stream sediment. The research of element distribution, element migration mechanism,predominant factor coefficient and energy coefficient in stream sediment hadbeen done. The study shows that the spatial power model of element formdistribution coefficient opens out the regular pattern of element migration instream sediment.Formulated a spatial power model of binary component that formulatesthe mutation characteristic of chemical spatial construction in -40 meshstream sediment disturbed by eolian sandThe fractal dimension of ore-forming elements in the -40 mesh streamsediment appears to be a mutation character. Granularity factor coefficient wascalculated according to the disturbance feature mixed flow dune with fastnessdune, which is a good index to the mixing quantity of eolian sand in streamsediment. Composition factor coefficient also was computed by the use of foldfunction formula, which coincides with regional experimental results.Formulated a factor model of sampling density in geochemicalexploration for mineral resource.Theory and experiment proved that sampling density in geochemicalexploration for mineral resource is constrained by geochemical anomaly scale,stream distribute and physiognomy cycle. Fractal area density, drainage arearatio and altitude coefficient can open out the forming mechanism of threeaspects above. A factor model of sampling density is the foundation ofsampling density theory. It could guide establishment of sampling density andsampling layout in geochemical exploration for mineral resource.Explored a new method of spatial entropy that quantificationally predictsmineral resources potentialFirstly, the author proved that spatial energy coefficient has contact withelement entropy in soil by the use of fractal and dissipative structure theory.Secondly, the author constituted a calculation model of spatial entropy forquantitive prediction of mineral resources potential. Finally, the authorpredicted minerogenic series resource potential in study area.Explored a new method of spatial structure degree in stream sedimentfor quantitative prediction of mineral resources potentialOn the basis of geochemistry regulation of element migration in streamsediment and self-similarity in geochemical anomaly of ore field, two spatialstructure degree models of denudation amount in the area of ore field with thenested and associated geochemical patterns were formulated by the use offractal method. The models provided theory foundation of geochemical methodfor quantitative predicting ore field resource potential. The tests illustrated thatthe new method not only quantificationally predicts mineral resource potentialbut also qualitatively lead the research of minerogenic series.Explored a new method of factors coupling for prediction of minerogenicseries in metallogenic belt.The prediction of preponderant minerogenic series in the eastern section ofGangdise Mountains, Tibet, is a key problem that needs to be solved currently.The author studied the provenance characteristics and relations betweengeochemical targets and minerogenic series, revealed the geochemicalconstraint of mineralization scale and calculated factors coupling coefficientsfor predicting potential resources. It can be concluded that four differentminerogenic series are concentrated in the eastern section of the GangdiseMountains.