Application Research Of The JADE Algorithm For Inversion Of Geochemical Elements Combination

How accurate, rapid screening for abnormalities of the key is to determine areasonable lower limit of abnormity，And to determine the reasonable lower limit ofabnormity lies in choosing the optimal lower limit of abnormity processing scheme.Traditional geochemical threshold determination method is testing whether the dataare consistent with a normal or log-normal distribution. If not, then eliminating theabnormal data; if eligible, the most commonly used is the arithmetic mean value plustwo to three times the standard deviation method. But the standard deviation methodoften only takes into account the various variables of random, without consideringtheir nonlinear. At the same time, we know that the geochemical element distributionis not limited to normal distribution or lognormal distribution, but has no continuity,mutant, heterogeneity and diversity, randomness and uncertainty, irregular,self-similarity characteristics, namely high nonlinearity. Thus this led to thegeochemical anomaly of the lower limit complexity. Therefore, considering datanonlinear for study of geochemical anomaly of the lower limit processing is ofdecisive significance.Blind source separation algorithm is better able to satisfy geochemical data ishighly nonlinear, and it is in the field of geochemistry application is still in the initialstate。Visible, based on the JADE algorithm for blind source separation processinggeochemical data will be a new anomaly threshold scheme. In this paper, based on theblind source separation principle and geochemical data of highly nonlinearcharacteristics, put forward a kind of JADE algorithm on the new method ofgeochemical data processing. This method can effectively inverse geochemicalelement combination. Compared with the traditional method, the new method canbetter adapt to the geochemical data of the highly nonlinear nature, to better delineategeochemical anomalies and anomalous concentration center. The use of this method for a certain area of Tibet soil geochemical survey data processing, drawing out thetraditional method can not delineate weak anomalies, the delineation of anomalies andmineralization distribution basically consistent with the real situation.