Mohammad Parsa

Mohammad Parsa
Natural Resources Canada | NRCan

Doctor of Philosophy

About

37
Publications
7,143
Reads
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785
Citations
Citations since 2017
25 Research Items
756 Citations
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2017201820192020202120222023050100150200
2017201820192020202120222023050100150200
2017201820192020202120222023050100150200
Introduction
My research interests are AI-guided mineral exploration and exploration geochemistry.

Publications

Publications (37)
Article
Despite the ever-increasing application of machine learning (ML) algorithms in mineral prospectivity modeling (MPM), poor generalization (over-fitting) is an issue posing impediments to ML-based MPM. This issue is partly rooted in model input variables and the paucity of mineralized zones used as labeled samples for training and validating models....
Article
The volcanic-hosted massive sulfide (VHMS) deposits of the Bathurst Mining Camp have been significant contributors to Canada's historic Zn, Pb, Cu, and Ag production. Most of these deposits are hosted by the Tetagouche Group, many of which occur at the top of the Nepisiguit Falls Formation (footwall) along the contact with the conformably overlying...
Technical Report
This project will focus on four aspects 1) postulation of a framework that can be applied to a suite of mineral-system derived targeting criteria and generating mineral prospectivity mapping (MPM) through geological, geochemical and geophysical data; 2) recognition and analysis of structural features, that are spatially and genetically related to g...
Presentation
Full-text available
Northern New Brunswick (NB) hosts some very significant quartz vein hosted gold deposits/occurrences. These systems can be challenging exploration targets as there are few if any useful indicator minerals associated with this type of mineralization. Herein, the portable X-ray fluorescence (pXRF, Olympus Vanta™) spectrometer in conjunction with micr...
Poster
The Williams Brook gold occurrence, located in the northwestern part of the Chaleur Bay Synclinorium in northern New Brunswick, is hosted by Early Devonian, felsic volcanic and-sedimentary rocks of the Wapske Formation (Tobique Group). Gold mineralization is attributed to low-sulfidation epithermal style system, occurring in the flow-layered K-feld...
Article
Full-text available
Knowledge-driven mineral prospectivity mapping (MPM) has been practiced with diverse algorithms for combining GIS-based predictor layers (i.e., exploration targeting criteria) into predictive models in greenfield areas. Due to the diversity of these algorithms, there is a lack of consensus on the output of methods derived; that is, different algori...
Conference Paper
Full-text available
The Middle Paleozoic basin fill of northern and western New Brunswick termed the Matapédia Cover Sequence (MCS) is a Late Ordovician to Middle Devonian, i.e., post-Taconic to broadly syn-Acadian cover sequence that oversteps major zones of deformed Cambrian to Middle Ordovician strata, namely the Humber and Notre Dame zones to the west, and Ganderi...
Article
The Editorial of this special issue focuses on Innovative methods applied to processing and interpreting geochemical data, summarizing the papers published therein, reviewing the advances made in analyzing and interpreting geochemical datasets, and highlighting some challenges facing present-day geochemical data analysis. Decades of research on min...
Conference Paper
The renowned Brunswick belt (BB) that hosts the Brunswick Horizon (BH), the stratigraphic sequence constituting the upper contacts of the Nepisiguit Falls Formation (NFF) with the overlying Flat Landing Brook Formation (FLBF), associated with several well-known massive sulphide deposits and some occurrences. These include the supergiant Brunswick N...
Presentation
Full-text available
The Williams Brook property, located in the northwestern part of the Chaleur Bay Synclinorium of northern New Brunswick, hosts gold mineralization within Siluro-Devonian, bimodal volcano-sedimentary rocks of the Wapske Formation (Tobique Group). The Tobique Group is bounded to the north and west by the Rocky Brook-Millstream Fault, and to the south...
Article
There has been in recent years a trend towards adopting deep neural networks for addressing earth science problems. Of the various deep neural networks applied to different problems in earth sciences, this study aimed to demonstrate how to apply the group method of data handling (GMDH) neural networks for mineral prospectivity mapping (MPM). GMDH n...
Article
This study intends to (i) identify the potential sources of heavy metal (HM) pollution in an industrial town situated in the northwestern part of Iran and (ii) and assess whether the pollution levels discharged by HMs are significant. A suite of geochemical samples collected from the topsoil horizon of the study area were analyzed for HMs, namely C...
Article
Data-driven mineral prospectivity mapping (MPM) with random forests (RF) has been documented in various brownfield zones hosting known mineral deposits of the type being sought. However, the practical implementation of RF-based MPM is crippled by uncertainties stemming from the exploration targeting criteria used as predictors for this algorithm; s...
Article
The operation of large-scale ore-forming processes triggers the development of neighboring mineral deposits of the same or related types in a metallogenic province. While these deposits often bear striking similarities, variations in local geological settings cause differences in many deposit features. Therefore, in a metallogenic province, geochem...
Article
Mineral Prospectivity Mapping (MPM) is a multifaceted process relying heavily on experts' judgments. Notwithstanding the importance of human interpretations and cognitive knowledge in the success of exploration projects, human input, granted, is material to cognitive heuristics, subjectivity, and mental traits of geologists involved in the various...
Article
This study intends to showcase the application of Extreme Gradient boosting (XGboost), a state-of-the-art ensemble-learning technique, for district-scale mineral potential mapping (MPM) of carbonate-hosted ZnPb mineral systems in the Emarat district, W Iran. Notwithstanding the demonstrated effectiveness of XGboost in addressing a range of classifi...
Article
Geochemical sampling media, be they rock chip, soil or stream sediment samples, routinely collected in mineral exploration, are key to detecting mineralisation-related geochemical dispersion patterns. Notwithstanding the diversity of methods applied to geochemical anomaly detection, they can be broadly divided into two major groups, namely structur...
Article
Full-text available
The purpose of this study was to determine and evaluate of spatial distribution of gold and silver elements concentration by using geostatistical methods. This study was carried out in Ghezel Ozen area for 95 samples of lithogeochemicals. At first, Sensor data was replaced and the values of outlier's data were identified using the box-Plot and Q-Q-...
Article
Stream sediments remain the preferred geochemical sampling media for regional mineral exploration programs in most parts of the world where there is a well-defined drainage system. In Au exploration the analysis of either Bulk Leach Extractable Gold (BLEG) or acid-extractable Au in the −80# (<180 μm) stream sediment fraction are the two most common...
Article
The Behabad district, located in the central Iranian microcontinent, contains numerous epigenetic stratabound carbonate-hosted Zn-Pb ore bodies. The mineralizations formed as fault, fracture and karst fillings in the Permian-Triassic formations, especially in Middle Triassic dolostones, and comprise mainly non-sulfides zinc ores. These are all inte...
Article
Recognition of significant ore-forming processes, which control mineralization, improves the efficiency of mineral prospectivity modeling. In this study, controlling processes of skarn copper mineralization in Varzaghan district, northwestern Iran, were distinguished by a series of spatial and numerical analyses comprising point pattern, fractal, f...
Article
In this study, stream sediment geochemical data have been subjected to robust principal components analysis (RPCA) and singularity mapping (SM) to enhance and map significant multivariate geochemical anomalies (i.e., mineralization-related) in Ahar area, NW Iran. The RPCA was applied to (a) account for the compositional nature of stream sediment ge...
Article
Recognition and mapping of the significant geochemical signatures of mineral deposits are the main objective of the exploration geochemical surveys. However, due to complexity of ore-forming processes, multiple significant geochemical signatures may reflect the deposit of the type sought. Therefore, combination of significant geochemical signatures...
Article
Weighting and synthesizing exploration evidence criteria for mineral prospectivity mapping (MPM) are affected by complexity and ambiguity of ore mineralization processes. In this regard, fuzziness could facilitate the modeling of such vague processes for MPM. Furthermore, imprecise selection of the exploration criteria to be used in MPM has negativ...
Article
In this study, fractal/multifractal modeling methods have been applied for preliminary hydrothermal Ni prospection using a set of stream sediment geochemical data of Ahangaran district, which is an arid terrain in eastern Iran. The study area has a complex geological and morphological setting, which is dominated by the presence of aeolian sands. Cr...
Article
The spectrum–area (S–A) fractal model is a powerful tool for decomposition of complex anomaly patterns of gridded geochemical data. Ordinary moving average interpolation techniques are commonly being used for gridding geochemical data; however, these methods suffer from two major drawbacks of (1) ignoring the locally high values and (2) smoothing t...
Article
Full-text available
The selection of an appropriate method for decomposition of anomaly patterns of stream sediment geochemical data is a challenging issue, as the geochemical anomalies of stream sediment data exhibit complex anomalous patterns. This study compares the results of delineation of multi-element geochemical anomalies of stream sediment data, derived via n...
Article
Diversity and complexity of geological processes in different areas result in different element associations for prospecting a certain mineral deposit-type sought. In this regard, because element associations are affected by the diversity of geological characteristics of different areas, it is important to analyze and recognize significant geochemi...
Article
Dispersion pattern of geochemical elements in stream sediment data of a study area is affected by several factors, e.g., geological and geomorphological characteristics of the area. In this paper, we demonstrated recognition of efficient and inefficient mono-elemental geochemical signatures in a study area and exclusion of inefficient elements is w...
Article
Every year, a considerable portion of the national budget specifies to reconstruct the properties which have been destroyed during natural disasters in Iran. Recognition of vulnerable sites to natural disasters can reduce the probable damages. The most important point in designing railway tracks is to join stations in the least possible time. So, t...
Article
ABS TRACT In this paper an innovative fuzzy system was used for landslide susceptibility mapping in Komroud sub-basin, northern Iran. Landslide is known as a prevalent phenomenon in the study area. Satellite data, field surveys, geological and topographical maps were used as the data of this study. Remote sensing and GIS techniques were used for ma...

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