Comparative Study Of1:50000Geochemical Data Processing Method And The New Understanding Of Prospecting In Dabate District In West Tianshan Mountains Of Xinjiang

Geochemical data processing as the core element geochemical exploration, is intended tostudy the elements of the symbiotic combination pattern and spatial distribution, to determinethe background value,abnormal division and evaluation of anomalies. The traditionalstatistical methods accord with normal distribution in geochemical data as the premise,establish data processing model using statistical features of the data (this article using theiterative method, a box plot method, the85%frequency method), the other is to establish themathematical model considering the distribution characteristics of elements of the space (thisarticle using the method of trend surface, wavelet analysis, content area method).Dabat area is located in the Western Tianshan porphyry metallogenic belt, which hasLamasu,kekesai Dabat copper mine, Xingou, Kool Gasheng Pb-Zn polymetallic ore. Duringthis research, using correlation analysis, cluster analysis, factor analysis of the elements aredivided, and the axial zoning series: Hg (Sn)-AS-Sb-Ag-Pb-Au-W-Mo-Cu-Zn-NI-Co. Thisarticle uses a variety of data processing methods for special geochemical data processing andcomparative studies in the study area, screening a reasonable element anomalies. Thetraditional statistical methods include iterative method and a box plot method using X+1.65×S lower limit of anomaly, can well reflect the high value of the anomaly and the knowndeposits, the main drawback is the unknown mineralized area, x+nσ in n is selected by theexperience of impact, and the omission of the mineralization associated with high backgroundareas. Trend surface analysis provides a distribution of elements in space, to reflect thedistribution of elements showing: abnormal area of high concentration local enrichment, wasa small area planar distribution; abnormal area of low concentration was affected by tectonicactivity planar, bar zonal distribution. Wavelet Analysis based on Mexico hat, is originallyused for signal denoising, This article will be the first time used for the lower limit of analysisof geochemical anomalies, abnormal and random variable is the idea can be seen as a randomnoise signal in the background, the trend of regional precursors mostly buried in the randomnoise, the wavelet denoising can be found in the background trend characteristics. Waveletanalysis significantly reduces the lower limit of anomaly of each element, and the results can be divided into three parts, background value reflects the elements of regional maincharacteristics, level anomaly shows abnormal range, is used to analyze the causes ofanomalies, two prominent reflect high abnormal area, and plays an important role for thereasonable the delineation of mining area. Content area method, with nonlinear geochemicalcharacteristics, the lower limit of anomaly to determine the point of view, than the traditionalstatistical methods is low, abnormal area complete continuous; but if it is determined inaccordance with the abnormal limit values, will cause the large anomaly, not to distinguishthe abnormal action. According to the above contrastive study of various methods," waveletanalysis based on Mexico hat, content area method" in determined the lower limit of anomalyis more reasonable, the delineation of5important prospecting target areas, the geologicalfeatures and remote sensing analysis as a reference, has good prospecting foreground...