Gamma Ray Spectrometry Technology Research Vehicle Uranium Exploration

Car-borne gamma-ray spectrometry survey is detecting the gamma-ray spectrumreleased from the shadow land and calculating the radionuclide content which fixedthe car-bore gamma-ray detector on or in car, in order to find radioactive minerals orradioactive associated minerals and monitor environmental radiation.In uranium exploration, car-borne gamma-ray spectrometry survey is mainlyused to calculate the content of uranium, thorium, potassium among the rock, ore, andsoil, and used to delineate the scope of anomaly or mineralization and metallogenicprospect areas.It is the key problem to improve the nuclide content measurement accuracy aboutspectrum analysis of instrument’s spectral. The technology of uranium mineralizationfavorable information extraction is very important to determine the car-borne gammaenergy spectrum prospecting marks and delineating uranium anomaly area.At present, in the field of uranium exploration, data processing and interpretationof car-borne gamma energy spectrum lags behind that of airborne gamma energyspectrum. Spectrum analysis is only stay in the standard three window method. Theresearch is less on radioactive statistical noise，the influence of atmospheric radon，spectrum analysis and uranium mineralization favorable information extraction. Sothis paper carried the study of related technologies.1. Research on noise reduction technology of car-borne gamma-ray spectrometrysurvey using method or method combination of discrete cosine transform, wavelettransform, adaptive neural network fuzzy system, the nose reduction method arepresented as the discrete cosine neural network fuzzy and wavelet neural networkfuzzy synthesis method. The results show that low energy spectrum processing isbetter using the wavelet neural network fuzzy technology, but high energy spectrumprocessing is better using the discrete cosine neural network fuzzy technology. So,statistical noise can be reduced by the combination of these two.2. A method of measuring radon concentration to modified influence ofatmospheric radon.By analyzing the results of a large number of experiments,when fixed-point measurement, the equivalent uranium content of car-borne gamma-rayspectrometry survey has a linear relation with atmospheric radon concentration. Theslope is the relation coefficient for them. A new system combined by Car-bornegamma-ray spectrometry survey and radon measurement, atmospheric radoncorrection coefficient is determined by fixed-point measure and function fitting,which used to correct the influence of atmospheric radon. The results show that themethod has high scientific value.3. Study on the gamma spectral characteristics of Car-borne gamma-rayspectrometry survey, and full spectrum analysis and low-energy uranium windowanalysis method were proposed, so car-borne gamma energy spectrum analysis systemis established including the full spectrum analysis, the low-energy uranium windowmethod and the standard of "three window method". Through case analysis, itshows that the full spectrum analysis can effectively use spectrum information,214Pblow-energy uranium window method is better than214Bi-609low-energy uraniumwindow method, and has a good application prospect.4. Based on the car-borne gamma-ray spectrometry survey, the car-bornegamma energy spectrum metallogenic information extraction technology and prospectforecast system was developed by the application of uranium exploration in Erlianbasin and Bayingebi basin, Inner Mongolia. The uranium prospecting marks, modelsand comprehensive prediction method were established for the two basins, whichintegrated with the car-borne gamma energy spectrum information, geologicalinformation, geophysical and geochemical information and remote sensinginformation, and made up for the deficiencies of a single method, improve thecredibility of uranium production forecast results.This study made a breakthrough and innovation in the aspects of theory,technology and application, which improve the level of the car-borne gamma energyspectrum data processing and interpretation, and provide technical support and basicinformation for uranium exploration.