Reprint of “Identification of weak anomalies: A multifractal perspective”

Wang, Jian; Chen, Guoxiong; Yang, Mingguo

doi:10.1016/j.gexplo.2015.04.004

Cited by 15 publications

(3 citation statements)

References 31 publications

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“…As a visual tool for understanding the distribution of mineral deposits, fry analysis considers mineral deposits as points (Vearncombe and Vearncombe, 1999;Hassan Nezhad et al, 2001;Najafi et al, 2010;Zuo, 2015;Parsa et al, 2016b) to represent their spatial distribution (e.g., Kreuzer et al, 2007;Carranza, 2009;Parsa et al, 2018a). The method has been thoroughly described by Carranza (2009).…”

Section: Fry Analysismentioning

confidence: 99%

“…In addition, there are myriad numerical techniques available for assessing spatial association of faults systems with mineralization. These include, for example, the t-student spatial statistics (Zuo et al, 2009;Xiao et al, 2012;Zuo and Wang, 2015;Parsa et al, 2017a;Parsa et al, 2017b;Parsa et al, 2017c), success-rate curves (Agterberg and Bonham-Carter, 2005;Mirzababaei, 2016;Parsa et al, 2016a;Parsa et al, 2016b), distance-distribution analysis, and receiver operating characteristics (ROC) curves (Berman, 1977;Berman, 1986;Haddad-Martim et al, 2017;Parsa et al, 2018b). Among others, ROC curves provide for superior robustness and visual assessment of the relationship between structures and mineral deposits (cf.…”

Section: Introductionmentioning

confidence: 99%

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Spatial distribution of porphyry copper deposits in Dehaj terrain: Implications for exploration

et al. 2023

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Magmatism is triggered and controlled by tectonic systems, and thus these processes play an irrefutable role in the deposition and emplacement of hydrothermal mineral systems. It is, therefore, paramount to recognize the tectonic processes that are genetically associated with hydrothermal mineral systems. This study seeks to address this caveat by recognizing the main tectonic processes that have controlled the distribution of porphyry copper deposits in Dehaj terrain, Central Iran. For this purpose, the spatial association of 31 known porphyry copper deposits, faults, and fractures were evaluated by fry, fractal, and distance-distribution analyses. The results of fry analysis revealed that mineralization has distributed through three different trends, namely NE, NW, and NS, which shows a clear association with the fault systems presented in the area. Also, the fractal method applied demonstrated that structural controls on mineralization have operated on two different scales, regional and local scales. Distance-Distribution analysis was further used to assess the spatial correlation between known porphyry Cu deposits and fault traces, supplementing the results of fry and fractal analyses by quantitative measurements. The synthesis of the results of these three methods shows that the NW-trending faults have plausibly controlled the magmatism at a regional scale; nevertheless, NE- and N-trending faults have probably operated at local scales controlling the channeling and emplacement of mineral-bearing fluids.

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Section: Fry Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatial distribution of porphyry copper deposits in Dehaj terrain: Implications for exploration

et al. 2023

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“…The identification of geochemical anomalies from stream sediment geochemical data provides significant information for mineral exploration, especially in the preliminary stages (Carranza and Hale, 1997;Cheng, 1999Cheng, , 2007Carranza, 2004;Zuo et al, 2013Zuo et al, , 2015Zuo et al, , 2009Wang et al, 2014Wang et al, , 2018Ghezelbash et al, 2019). In the past few decades, a variety of new mapping techniques have been developed and applied for stream sediment geochemical anomaly mapping (Stanley and Sinclair, 1989;Cheng, 1999Cheng, , 2007Carranza, 2004Carranza, , 2010aYousefi et al, 2013;Mokhtari and Garousi Nezhad, 2015;Zuo et al, 2015;Kirkwood et al, 2016;Zuo, 2016Zuo, , 2017Zuo and Xiong, 2018;Parsa et al, 2018Parsa et al, , 2017Wang et al, 2018;Ghezelbash et al, 2019;Shahrestani et al, 2019;Ayari et al, 2022;Nforba et al, 2022;Ghasemzadeh et al, 2022). Anomalies in stream sediment geochemical data can be identified as either discrete or continuous fields (Carranza, 2008(Carranza, , 2010b, depending on whether or not the spatial representation of such data considers the geomorphological constraints of watersheds.…”

Section: Introductionmentioning

confidence: 99%

Single‐element Anomaly Mapping from Stream Sediment Geochemical Landscapes Aided by Digital Terrain Analysis

Xiang

Xia

Xiao

et al. 2023

Acta Geologica Sinica (Eng)

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The identification of anomalies within stream sediment geochemical data is one of the fastest developing areas in mineral exploration. The various means used to achieve this objective make use of either continuous or discrete field models of stream sediment geochemical data. To map anomalies in a discrete field model of such data, two corrections are required: background correction and downstream dilution correction. Topography and geomorphology are important factors in variations of element content in stream sediments. However, few studies have considered, through the use of digital terrain analysis, the influence of geomorphic features in downstream dilution correction of stream sediment geochemical data. This study proposes and demonstrates an improvement to the traditional downstream dilution correction equation, based on the use of digital terrain analysis to map single‐element anomalies in stream sediment geochemical landscapes. Moreover, this study compares the results of analyses using discrete and continuous field models of stream sediment geochemical data from the Xincang area, Tibet. The efficiency of the proposed methodology was validated against known mineral occurrences. The results indicate that catchment‐based analysis outperforms interpolation‐based analysis of stream sediment geochemical data for anomaly mapping. Meanwhile, the proposed modified downstream dilution correction equation proved more effective than the original equation. However, further testing of this modified downstream dilution correction is needed in other areas, in order to investigate its efficiency further.

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Developing a fractal model for spatial mapping of crime hotspots

Kalantari

Ghezelbash

et al. 2019

Eur J Crim Policy Res

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Reprint of “Identification of weak anomalies: A multifractal perspective”

Cited by 15 publications

References 31 publications

Spatial distribution of porphyry copper deposits in Dehaj terrain: Implications for exploration

Spatial distribution of porphyry copper deposits in Dehaj terrain: Implications for exploration

Single‐element Anomaly Mapping from Stream Sediment Geochemical Landscapes Aided by Digital Terrain Analysis

Developing a fractal model for spatial mapping of crime hotspots

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