Metallogenic prediction based on fractal theory and machine learning in Duobaoshan Area, Heilongjiang Province

Chen, Jun; Zhao, Zhonghai; Yang, Yuanjiang; Li, Chenglu; Yin, Yechang; Zhao, Xiang; Zhao, Nan; Tian, Jingwei; Li, Haina

doi:10.1016/j.oregeorev.2024.106030

Cited by 15 publications

(4 citation statements)

References 79 publications

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“…The study area is in the Sidaowanzi region of Inner Mongolia, in the eastern part of the Central Asian Orogenic Belt (Figure a) . It is adjacent to the confluence of the northern edge of the North China Craton and the Xing’an Mongolian orogenic belt and belongs to the transitional zone between them (Figure b). − , The geological evolution of this area has generally involved various periods, including the collision and amalgamation of the late Paleozoic Amur plate with the North China Craton, Mesozoic intracontinental orogeny the extension and disruption of the North China Craton lithosphere, with the tectonic-magmatic activities of the Mesozoic being particularly intense. , …”

Section: Geological Settingsmentioning

confidence: 99%

“…[53][54][55][56][57]61 The geological evolution of this area has generally involved various periods, including the collision and amalgamation of the late Paleozoic Amur plate with the North China Craton, Mesozoic intracontinental orogeny the extension and disruption of the North China Craton lithosphere, with the tectonic-magmatic activities of the Mesozoic being particularly intense. 58,59 The stratigraphic units exposed in the study area are numerous and widely distributed, mainly including Proterozoic, Paleozoic, Mesozoic, and Cenozoic strata. The Proterozoic strata are distributed in the southwestern part of the study area, while the Paleozoic strata are predominantly found in the central and northeastern regions.…”

Section: Geological Settingsmentioning

confidence: 99%

“… 53 − 57 , 61 The geological evolution of this area has generally involved various periods, including the collision and amalgamation of the late Paleozoic Amur plate with the North China Craton, Mesozoic intracontinental orogeny the extension and disruption of the North China Craton lithosphere, with the tectonic-magmatic activities of the Mesozoic being particularly intense. 58 , 59…”

Section: Geological Settingsmentioning

confidence: 99%

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Identification of Geochemical Anomalies Based on RPCA and Multifractal Theory: A Case Study of the Sidaowanzi Area, Chifeng, Inner Mongolia

Zhao,

Yin

et al. 2024

ACS Omega

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The focus of exploration geochemistry is an accurate interpretation of geochemical data and the precise extraction of anomaly information related to mineralization from complex geological information. However, geochemical data are component data and exhibit a closure effect. Thus, traditional statistical methods cannot adequately reveal and identify the distribution of deep-seated anomaly information. This paper focuses on the Sidaowanzi area in Inner Mongolia and uses multivariate component data analysis methods to process 1:50 000 soil geochemical data. Using the Exploratory Data Analysis (EDA) method, the spatial distribution and internal structure characteristics of raw, logarithmic, and isometric logarithmic ratio (ILR) transformed data were compared and, coupled with robust principal component analysis (RPCA) and elemental component biplots, the association between element combinations and mineralization indicated by these three types of data was revealed. The S-A method was used to decompose composite anomalies of the ILR transformed RPCA score data to extract the characteristics of elemental combination anomalies and background distribution, and the Fry analysis method was utilized to analyze the dominant mineralization direction within the area. The results show that (1) data transformed using the ILR eliminated the influence of the closure effect, making the data more uniform on a spatial scale and exhibiting characteristics of an approximately normal distribution. (2) The S-A method was further used to decompose the composite anomaly of the PC1 and PC2 principal component combinations. The screened-out anomaly and background fields can essentially reflect the ore-causing anomalies dominated by Au and Cu−Mo mineralization. Moreover, the extracted anomalies and background information closely align with known mineral deposits (prospects) and can effectively identify weakly retarded geochemical anomaly information. (3) Fry analysis based on geochemical anomalies indicates that the dominant mineralization directions, by an assemblage dominated by Au and Cu−Mo, predominantly occur in the NE, NW, and proximate EW orientations. The combined application of the aforementioned three methods for the quantitative analysis of geochemical data aims to explore a transferable methodological system, providing new insights and approaches for further prediction of mineralization potential.

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Section: Geological Settingsmentioning

confidence: 99%

Section: Geological Settingsmentioning

confidence: 99%

Section: Geological Settingsmentioning

confidence: 99%

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Identification of Geochemical Anomalies Based on RPCA and Multifractal Theory: A Case Study of the Sidaowanzi Area, Chifeng, Inner Mongolia

Zhao,

Yin

et al. 2024

ACS Omega

Self Cite

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“…Furthermore, external factors, such as changes in land use, climate variability, and human activities, can significantly affect soil stability. Complex interactions between soil organisms, nutrient cycling, and physical properties contribute to ecosystem adaptability and the ability to withstand disturbances [11,12]. Recognizing the interconnectedness of soil health, soil quality, biodiversity, and ecosystem resilience underscores the importance of sustainable soil management practices in protecting the stability and long-term sustainability of our ecosystems [13].…”

Section: Introductionmentioning

confidence: 99%

Reactivating the Potential of Lima Bean (Phaseolus lunatus) for Enhancing Soil Quality and Sustainable Soil Ecosystem Stability

Abdulraheem,

Moshood,

et al. 2024

Agriculture

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Background: This study explores the role of leguminous crops like lima bean in enhancing soil quality and ecosystem stability. Despite existing studies on agronomic aspects, there is a significant research gap on its impact on soil organic matter level, microbial activity, soil health, and nutrient availability. Therefore, this study examines the capacity of lima bean to reactivate soil quality, focusing on its impact on soil organic matter level, microbial activity, soil health, and nutrient availability. Methods: The experimental area was set up in 2023 using three replicates and a randomized block design. Two treatments were used: lima bean-planted plots and control plots with various weeds and without lima bean. Post-harvest soil samples were collected from various agroecological zones and sterilely packed, and physical, chemical, and biological indices were examined. Results: lima bean significantly affected nutrients, enzymes, soil microbial respiration, and other markers. Amylase activity (0.41**) was positively correlated with urease activity (0.73**), while dehydrogenase activity positively correlated with both. Dehydrogenase activity was negatively correlated with total nitrogen (0.66**) and sulfur (0.60**). Lima bean significantly affected soil quality, with all locations showing higher ratings (55–77%) than wild land, except for location D (Ilora). A total of 70% of total nitrogen variation may be attributed to soil quality (r2 = 0.696). Lima bean enhanced soil quality, potentially enhancing productivity and reducing dependence on inorganic nitrogen inputs. Conclusions: The symbiotic relationship between lima bean and nitrogen-fixing bacteria improves nutrient cycling, enhancing agricultural productivity and environmental conservation. Future research should explore the economic viability of integrating lima bean into crop rotations or agroforestry systems for sustainable agricultural practices, providing valuable information for farmers.

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Spatiotemporal variations, source identification, and risk assessment of potentially toxic elements in the surface water of Felent Stream impacted by the silver mine

Tokatlı,

Ustaoğlu,

Muhammad

et al. 2024

Environ Monit Assess

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Metallogenic prediction based on fractal theory and machine learning in Duobaoshan Area, Heilongjiang Province

Cited by 15 publications

References 79 publications

Identification of Geochemical Anomalies Based on RPCA and Multifractal Theory: A Case Study of the Sidaowanzi Area, Chifeng, Inner Mongolia

Identification of Geochemical Anomalies Based on RPCA and Multifractal Theory: A Case Study of the Sidaowanzi Area, Chifeng, Inner Mongolia

Reactivating the Potential of Lima Bean (Phaseolus lunatus) for Enhancing Soil Quality and Sustainable Soil Ecosystem Stability

Spatiotemporal variations, source identification, and risk assessment of potentially toxic elements in the surface water of Felent Stream impacted by the silver mine

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