எங்கள் குழு ஒவ்வொரு ஆண்டும் அமெரிக்கா, ஐரோப்பா மற்றும் ஆசியா முழுவதும் 1000 அறிவியல் சங்கங்களின் ஆதரவுடன் 3000+ உலகளாவிய மாநாட்டுத் தொடர் நிகழ்வுகளை ஏற்பாடு செய்து 700+ திறந்த அணுகல் இதழ்களை வெளியிடுகிறது, இதில் 50000 க்கும் மேற்பட்ட தலைசிறந்த ஆளுமைகள், புகழ்பெற்ற விஞ்ஞானிகள் ஆசிரியர் குழு உறுப்பினர்களாக உள்ளனர்.
அதிக வாசகர்கள் மற்றும் மேற்கோள்களைப் பெறும் திறந்த அணுகல் இதழ்கள்
700 இதழ்கள் மற்றும் 15,000,000 வாசகர்கள் ஒவ்வொரு பத்திரிகையும் 25,000+ வாசகர்களைப் பெறுகிறது
Arhin Emmanue* ,Ibrahim AS and Ntori C
The complex regolith environment presents both challenges and opportunities in the determination of real gold anomalies in mineral exploration. As anomalies may be subdued by the complexities of the regolith; accounting for the regolith environment in the geochemical data interpretation could lead to the detection of real and true anomalies. The development of a regolith map using remote sensing data and field verification of the interpolated regolith map made possible the interpretation of 4254 soil samples collected in the regolith context. The gold anomalisms in the various regolith regimes were established from the respective thresholds defined from gold distribution data filtered for the four defined regolith domains. The estimated threshold values were 28 ppb for ferruginous, 38 ppb for relict, 100 ppb for erosional and 30 ppb for the depositional regime. In GIS environment and performing Krigging around the defined thresholds, gold indicator maps that showed the gold prospectivity in the different regolith environments were produced. Another unit less threshold was derived for the combined data after the gold expressions for the various regolith regimes have been normalized with the individual established threshold values. The unitless threshold value estimated was 25 and applying Probability Kriging gridding method around the 25 threshold value; the gold anomalies accounting for the regolith environments were defined, outlined and prioritized. The prospectivity of the defined anomalies was explicit when data such as regolith, geology and interpreted lineaments were draped on the Probability Krigging map.