Corresponding Analysis Metallogenic Prognosis Of Geochemical And Remote Sensing Anomaly At Wu Long Gou Gold Mineralized Concentrate District In East Kunlun Mountain

Selecting Wu Long Gou gold minerals concentrated district in East Kunlun Mountain in Qinghai Province as study area, this paper put forward a corresponding analysis model of remote sensing and goechemical anomaly, called "unit-based quantitative statistic method", set up the pattern of "corresponding degrees" that means correspondence between geochemical anomaly and remote sensing anomaly, and formed the method of "R-D metallogenic blind prognosis". According to the corresponding analysis, geological anomaly factors are selected to perform metallogenic predictation, and some innovative results have been achieved. The study results are expected to have great referential value and application prospects for elevating ore-hunting efficiency and speeding up mineral resources prospecting in similar areas.The main results of the research are as follows:1. Geochemical anomaly variables are acquired by geochemical data processing and evaluation in study area. By using methods of iteration, tendency analysis, fractal method, cluster analysis, principal factor analysis, together with geochemical zonation, spatial distribution of geochemical anomalies is revealed and delimited in this area.2. Remote sensing anomaly variables are acquired by extracting mineral alteration information and explaining linear structures on remote sensing data getting from the study area. Based on spectral characteristics of typical altered mineral, the method is improved to extract ETM remote sensing data of hydroxyl and ferric anomaly. Information of A1-OH hydroxy anomaly, Mg-OH hydroxy alterations, carbonatization alterations and ferric alterations are extracted by applying ASTER remote sensing data. The integrated approach to different alterations anomalies reflected by remote sensing is preliminaryly presented. Results offer an important information basis for the corresponding analysis on geochemical anomaly and remote sensing anomaly. Based on the deciphering of the linear structures in studied area, a quantitative analysis is made on density, frequentness and abnormal position of the linear structure. Finally, the spatial characters of linear structures in studied area are reflected clearly through studying density and frequency diagram of the structure.3. The corresponding analysis model of remote sensing and geochemical anomaly is set up. By exploring corresponding analysis basis and advantages on geochemical anomaly and remote sensing anomaly, the model of "unit quantitative statistic method" is built, and the concept of "corresponding degrees" from correspondence between geochemical anomaly and remote sensing anomaly is put forward. Based on the spatial analysis of GIS, spatial corresponding analysis is made between geochemical anomaly and remote sensing anomaly. Then, the following 4 corresponding models of "intense-intense corresponding", "intense-weak corresponding", "weak-weak corresponding", and "no-corresponding" are put forward in the paper. Finally, the illumination of metallogenic prognosis in different corresponding models is explored in the study.4. The method of "R-D metallogenic blind prognosis" is formed. Based on analyzing the metallogenic prediction elements by using corresponding analysis of geochemical and remote sensing anomalies, 9 geological anomaly variables are selected and "R-D metallogenic blind prognosis" is put forward. These methods help to overcome defects in qualitative description of geological variables, in the weights-of-evidence analysis and characteristic analysis. Spatial characteristics of the geological variables are taken as prognosis element in metallogenic prognosis prediction. Taking 1km×1km grid cell as prognosis unit, anomaly grade, anomaly size, anomaly azimuth of geology variable are quantified in the study, the advantageous degree of metallogenic prognosis of prognosis unit is calculated and the metallogenic prospect area is hopefully predicted.Through comparative analysis between metallogenic prospect area and known deposits,77% of known gold deposits are located in the metallogenic prospect area. The "R-D metallogenic blind prognosis" method combines "expert knowledge" with geology anomaly characters (concordance) preferably and effectively. With the advantages of simple calculation and definite purpose, it is also an effective prediction method for target location, suitable for the areas of inadequate geological exploration, and of similar geology and landform features.