Using TOPSIS approaches for predictive porphyry Cu potential mapping: A case study in Ahar-Arasbaran area (NW, Iran)

Pazand, Kaveh; Hezarkhani, Ardeshir; Ataei, Mohammad

doi:10.1016/j.cageo.2012.05.024

Cited by 67 publications

(25 citation statements)

References 25 publications

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“…These patterns may reflect the increased concentration of secondary magnetite in potassic alteration zones, or magnetite destruction in other lateral alteration zones or high magnetite in the original intrusive plutons responsible for mineralization (Daneshfar ; Pazand et al . ). Therefore, the stably downward continuation of airborne magnetic data can enhance near surface anomalies which may be associated with the porphyry‐Cu occurrences.…”

Section: Application To Real Datamentioning

confidence: 97%

“…Porphyry intrusions and related alteration systems may have a characteristic magnetic signature, which can form a distinctive anomalous pattern in magnetic maps. These patterns may reflect the increased concentration of secondary magnetite in potassic alteration zones, or magnetite destruction in other lateral alteration zones or high magnetite in the original intrusive plutons responsible for mineralization (Daneshfar 1997;Pazand et al 2012). Therefore, the stably downward con- level has been selected based on the extension of intrusive geological units which cause active and working mines in the study area (showing on Figs 9 and 10 with dark circles).…”

Section: Application To Real Datamentioning

confidence: 99%

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A new stable downward continuation of airborne magnetic data based on Wavelet deconvolution

Abedi

Gholami

Norouzi

2014

Near Surface Geophysics

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This paper describes an efficient wavelet‐based deconvolution method for the downward continuation of airborne potential (magnetic and gravity) field data. We formulate the downward continuation process as a linear ill‐posed deconvolution problem. To obtain a reasonable downward continued field data, it is stabilized in a wavelet domain by minimizing the L1‐norm of the coefficients subject to the constraint that is the agreement of the upward response with the original observed data up to a white Gaussian noise level. The resulting convex constrained problem is then solved very fast and efficiently via the split Bregman iterations method. The generalized cross‐validation (GCV) criterion as a plotted curve versus the iteration count with new formulation is used to determine the optimum number of Bregman iterations without prior knowledge about noise properties. A synthetic magnetic field data embedded in a Gaussian noise is constructed from isolated multi‐source anomalies, whose results show that the airborne magnetic data can be continued stably downward by the proposed automatic sparse deconvolution method in a few iterations. When compared with conventional methods such as Tikhonov and Edge‐preserving with the proposed method, similar results were obtained. To test the performance on real data, we chose to use the airborne magnetic data of the central Iranian volcanic‐sedimentary belt. The enhanced downward continued data to a depth level of 200 m beneath the ground surface indicates adequate matching of high potential zones with previous working mines and copper deposits. Obtained results from both synthetic and real data confirm that the performance of the proposed technique is as good as the classical deconvolution ones.

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Section: Application To Real Datamentioning

confidence: 97%

Section: Application To Real Datamentioning

confidence: 99%

A new stable downward continuation of airborne magnetic data based on Wavelet deconvolution

Abedi

Gholami

Norouzi

2014

Near Surface Geophysics

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“…Application of the TOPSIS procedure for mineral potential mapping was proposed by Pazand et al (2012). As it was explained each of the evidence maps has been converted to raster with specifi c cell size.…”

Section: Application Of the Topsis Methods To Cis Deposit Potential Mamentioning

confidence: 99%

A Comparative Analysis of Index Overlay and Topsis (Based on Ahp Weight) for Iron Skarn Mineral Prospectivity Mapping, a Case Study in Sarvian Area, Markazi Province, Iran

Mansouri

Feizi

Rad

et al. 2017

Bulletin of the Mineral Research and Exploration

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The aim of this research is to compare index overlay and TOPSIS (based on AHP weight) for predictive Skarn potential map. In this paper, for Calcic Iron Skarn mineralization, criteria and subcriteria introduced and ranked for generating mineral prospectivity map. The values of fi nal prospecting maps for Skarn deposit by index overlay and TOPSIS methods was specifi ed by dividing the prospectivity values into 10 classes. For better comparison, values assign to classes base on their priority in mineral exploration. The comparative analyses of index overlay and TOPSIS integration methods, has been performed by selecting four GCPs for fi eld checking. Field observation in GCP 1, 2 and 3, confi rmed Iron mineralization in the contact of intrusive bodies with sedimentary units, where the contact metamorphism was obvious but there is no observable mineralization in GCP4. Although high magnetic is distinct in mentioned GCP. Based on the fi eld checking in Sarvian area, the TOPSIS method has more accuracy compared to index overlay approach. Therefore, the TOPSIS method recommends for Calcic Iron Skarn Mineral Prospectivity Mapping in Sarvian and adjacent area.

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“…Among the itemized MCDM, the AHP technique has the unique attribute of allowing transitivity property verification in criteria weights that are often traceable to potential mapping decision making studies (Pazand et al 2012). According to Chan et al (2008), this technique is a decision analysis method that can combine both qualitative and quantitative information by decomposing their ill-structured problems into systematic hierarchies to rank alternatives based on a number of criteria.…”

Section: Introductionmentioning

confidence: 99%

Groundwater potentiality mapping using geoelectrical-based aquifer hydraulic parameters: A GIS-based multi-criteria decision analysis modeling approach

Mogaji¹,

Lim²

2017

Terr. Atmos. Ocean. Sci.

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This study conducted a robust analysis on acquired 2D resistivity imaging data and borehole pumping test records to optimize groundwater potentiality mapping in Perak province, Malaysia using derived aquifer hydraulic properties. The transverse resistance (TR) parameter was determined from the interpreted 2D resistivity imaging data by applying the Dar-Zarrouk parameter equation. Linear regression and GIS techniques were used to regress the estimated values for TR parameters with the aquifer transmissivity values extracted from the geospatially produced BPT recordsbased aquifer transmissivity map to develop the aquifer transmissivity parameter predictive (ATPP) model. The reliability evaluated ATPP model using the Theil inequality coefficient measurement approach was used to establish geoelectrical-based hydraulic parameters (GHP) modeling equations for the modeling of transmissivity (Tr), hydraulic conductivity (K), storativity (St), and hydraulic diffusivity (D) properties. The applied GHP modeling equation results to the delineated aquifer media was used to produce aquifer potential conditioning factor maps for Tr, K, St, and D. The maps were modeled to develop an aquifer potential mapping index (APMI) model via applying the multi-criteria decision analysis-analytic hierarchy process principle. The area groundwater reservoir productivity potential model map produced based on the processed APMI model estimates in the GIS environment was found to be 71% accurate. This study establishes a good alternative approach to determine aquifer hydraulic parameters even in areas where pumping test information is unavailable using a cost effective geophysical data. The produced map can be explored for hydrological decision making.

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Using TOPSIS approaches for predictive porphyry Cu potential mapping: A case study in Ahar-Arasbaran area (NW, Iran)

Cited by 67 publications

References 25 publications

A new stable downward continuation of airborne magnetic data based on Wavelet deconvolution

A new stable downward continuation of airborne magnetic data based on Wavelet deconvolution

A Comparative Analysis of Index Overlay and Topsis (Based on Ahp Weight) for Iron Skarn Mineral Prospectivity Mapping, a Case Study in Sarvian Area, Markazi Province, Iran

Groundwater potentiality mapping using geoelectrical-based aquifer hydraulic parameters: A GIS-based multi-criteria decision analysis modeling approach

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