Predictive Cu porphyry potential mapping using fuzzy modelling in Ahar–Arasbaran zone, Iran

Abstract

Fuzzy set theory was successfully used to map areas of copper porphyry mineralization potential in the Ahar-Arasbaran district of Iran. Proximity to geological features is translated into fuzzy membership functions based upon qualitative and quantitative knowledge of spatial associations between known Cu porphyry occurrences and geological features in the area. Fuzzy sets of favourable lithology, geochemical anomaly, geophysical anomaly, structural feature, and alterations are combined using fuzzy logic as the inference engine. The fuzzy predictive maps delineate 84% of the known Cu porphyry occurrences. The results demonstrate the usefulness of a geologically constrained fuzzy set approach to map mineral potential and to redirect surficial exploration work in the search for yet undiscovered Cu porphyry mineralization in the mining district. The method described is applicable to other mining districts elsewhere.

Effects of Process Parameters on Microarc Oxidation Film Layers of Porous Titanium

“…At the voltage of 450 V, the excessive voltage led to intense discharge, while the released high-energy caused micropore melting and enlarged the discharge channels and micropores. Moreover, (Sheng et al, 2018) the film thickening or densening reduced the conductivity, thereby decelerated the metal surface oxidation and decreased the amount of micropores on the oxidation film layers (Zhu et al, 2008;Pazand and Hezarkhani, 2018). At the electrode voltage of 450 V, evident cracks appeared at the oxidation film surfaces and between pores (Fig.…”

A Remote Sensing-Based Application of Bayesian Networks for Epithermal Gold Potential Mapping in Ahar-Arasbaran Area, NW Iran

“…In this study, Landsat-7 ETM+, Landsat-8 and ASTER multispectral remote sensing datasets were used to identify hydrothermal alteration zones associated with epithermal gold mineralization and producing thematic layers, which were afterward synthesized in the Bayesian networks for mineral potential mapping in the Ahar-Arasbaran region, NW Iran (Figure 1). This region is a well-endowed terrain hosting numerous known epithermal gold deposits, several porphyry and skarn Cu-Mo deposits, Fe skarn deposits, Cu-Au porphyry deposits and many other Cu-Mo-Au vein mineralizations [46][47][48][49][50]. The deposits are associated with extensive hydrothermal alteration mineral zones such as iron oxide/hydroxides, advanced argillic, argillic, phyllic and propylitic [48,51,52].…”

“…This region is a well-endowed terrain hosting numerous known epithermal gold deposits, several porphyry and skarn Cu-Mo deposits, Fe skarn deposits, Cu-Au porphyry deposits and many other Cu-Mo-Au vein mineralizations [46][47][48][49][50]. The deposits are associated with extensive hydrothermal alteration mineral zones such as iron oxide/hydroxides, advanced argillic, argillic, phyllic and propylitic [48,51,52]. The Ahar-Arasbaran region has a high potential for exploring new prospective zones of epithermal gold and many other ore mineralizations.…”

“…Some geo-referenced hydrothermal alteration maps were produced using RBD (relative absorption band depth), principal component analysis (PCA), minimum noise fraction (MNF) and matched filtering (MF) image processing techniques for reconnaissance stages of porphyry copper exploration in the Ahar area. Furthermore, Pazand and Hezarkhani [48] generated a favorability map for Cu porphyry mineralization using fuzzy modeling in the Ahar-Arasbaran zone, NW Iran. There is no comprehensive remote sensing research available for mapping hydrothermal alteration zones in the Ahar-Arasbaran region using multi-sensor satellite imagery at a regional scale.…”

Estimation of Construction Wastes Based on the Bill of Quantitiy in South China

“…The construction of new buildings and the demolition of construction projects in Guangzhou each year produce a large amount of construction waste. The large amount of construction waste and its disastrous effects in China is obvious (Devora Isiordia et al, 2017;Wani et al, 2018;Landowski et al, 2017;Camara et al, 2018;Yang et al, 2017;Fu and Liu, 2017;Pazand and Hezarkhani, 2018). The disposal, reduction, recycling and utilization of construction wastes have aroused public attention while little attention is paid to the output of construction waste in construction activities (Liu and Wang, 2013;Lu et al2017;Yuan, 2017;Huang et al, 2018;Alsulaiman and Nizam, 2018).…”