Mineral Prospectivity Modeling over Julie Tenement of Northwestern Ghana using Geophysical Datasets
Publish place: Journal of Mining and Environment، Vol: 15، Issue: 3
Publish Year: 1403
نوع سند: مقاله ژورنالی
زبان: English
View: 50
This Paper With 26 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JMAE-15-3_001
تاریخ نمایه سازی: 23 خرداد 1403
Abstract:
This study was set out to delineate prospective zones of gold mineralization occurrence over the Julie tenement of Northwestern Ghana using two spatial statistical techniques, namely information value (IV) and weight of evidence (WofE) models. First, ۱۱۰ locations, where gold (Au) mineralization has been observed, were identified by field survey results derived from highly anomalous geo-chemical assay datasets. Of these ۱۱۰ locations, ۷۷ (representing ۷۰% of the known locations, where gold has been observed) were randomly selected for training the aforementioned models, and the remaining ۳۳ (analogous to ۳۰% of the known Au occurrence) were used for validation. Secondly, eleven mineral conditioning factors (evidential layers) comprising analytic signal, reduction-to-equator (RTE), lineament density (LD), porphyry density, potassium concentration, thorium concentration, uranium concentration, potassium-thorium ratio, uranium-thorium ratio, geology, and arsenic concentration layers were sourced from geo-physical, geological, and geo-chemical datasets. Subsequently, by synthesizing these eleven evidential layers using the two spatial statistical techniques, two mineral prospectivity models were created in a geographic information system (GIS) environment. Finally, the mineral prospectivity models produced were validated using the area under the receiver operating characteristics curve (AUC). The results obtained showed that the IV model produced had a higher prediction accuracy in comparison with the mineral predictive model produced by the WofE with their AUC scores being ۰.۷۵۱ and ۰.۷۴۳, respectively.
Keywords:
Authors
Prince Ofori Amponsah
Department of Earth Science, School of Physical and Mathematical Science, University of Ghana, Legon-Accra, Ghana.
Eric Dominic Forson
Department of Physics, School of Physical and Mathematical Sciences, University of Ghana, Legon-Accra, Ghana.
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :