Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1111/1365-2478.13092 |
Integration of airborne geophysics and satellite imagery data for exploration targeting in porphyry Cu systems: Chahargonbad district, Iran | |
Riahi, Shokouh; Bahroudi, Abbas; Abedi, Maysam; Aslani, Soheila; Elyasi, Gholam-Reza | |
通讯作者 | Abedi, M (corresponding author), Univ Tehran, Sch Min Engn, Coll Engn, Tehran, Iran. |
来源期刊 | GEOPHYSICAL PROSPECTING
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ISSN | 0016-8025 |
EISSN | 1365-2478 |
出版年 | 2021 |
卷号 | 69期号:5页码:1116-1137 |
英文摘要 | This study illustrates the application of a geometric average integration of aeromagnetic, radiometric and satellite imagery data over a region prone to Cu-bearing mineralization at Chahargonbad area in Kerman province of Iran. Processing aeromagnetic, radiometric and Advanced Spaceborne Thermal Emission and Reflection Radiometer satellite data can provide exploratory insights about favourable zones in association with porphyry-type ore occurrences, which can be synthesized through a combination of knowledge- and data-driven approaches as a geometric average and be represented in a mineral prospectivity map. The existence of known deposits in a prospect region can facilitate the investigation of significant exploratory footprints extracted from airborne data by calculating each indicator layer's weight by plotting a prediction-area curve accompanied by a concentration-area fractal curve. Among various indicators, the most important ones are determined based on derived weights from the prediction-area plots to be synthesized in a single Cu favorability map. To fulfil this aim, indicator layers from airborne geophysics (magmatic bodies, magnetic lineaments and potassium radiometry) and remote-sensing data (alterations such as argillic, phyllic, propylitic and iron oxide along with geological lineaments) were prepared and evaluated using the known porphyry Cu mineralization by the simultaneous plot of the concentration-area fractal model and the prediction-area curve to attain the ore prediction rate and the relevant occupied area of each map for weight assignment of indicators. The geometric average prospectivity model was applied to synthesize the leading indicators, and the result was compared with a multi-class index overlay map. This study's significance lies in improvement of the performance of the mineral prospectivity/potential mapping after running a geometric average by a higher ore prediction rate of 79%, which has occupied 21% of the area as potential zones for further mining investigations. |
英文关键词 | Airborne data Fractal analysis Prediction‐ Area plot Geometric average Porphyry Cu deposits |
类型 | Article |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:000645464200001 |
WOS关键词 | HYDROTHERMAL ALTERATION ZONES ; PRINCIPAL COMPONENT ANALYSIS ; EDGE-DETECTION ; SPATIAL EVIDENCE ; EASTERN DESERT ; COPPER-DEPOSIT ; ENHANCEMENT ; ASTER ; AREA ; MINERALIZATION |
WOS类目 | Geochemistry & Geophysics |
WOS研究方向 | Geochemistry & Geophysics |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/350417 |
作者单位 | [Riahi, Shokouh; Bahroudi, Abbas; Abedi, Maysam; Aslani, Soheila; Elyasi, Gholam-Reza] Univ Tehran, Sch Min Engn, Coll Engn, Tehran, Iran |
推荐引用方式 GB/T 7714 | Riahi, Shokouh,Bahroudi, Abbas,Abedi, Maysam,et al. Integration of airborne geophysics and satellite imagery data for exploration targeting in porphyry Cu systems: Chahargonbad district, Iran[J],2021,69(5):1116-1137. |
APA | Riahi, Shokouh,Bahroudi, Abbas,Abedi, Maysam,Aslani, Soheila,&Elyasi, Gholam-Reza.(2021).Integration of airborne geophysics and satellite imagery data for exploration targeting in porphyry Cu systems: Chahargonbad district, Iran.GEOPHYSICAL PROSPECTING,69(5),1116-1137. |
MLA | Riahi, Shokouh,et al."Integration of airborne geophysics and satellite imagery data for exploration targeting in porphyry Cu systems: Chahargonbad district, Iran".GEOPHYSICAL PROSPECTING 69.5(2021):1116-1137. |
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