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| 1 | Edge Effect Correction in the S-A Method for Geochemical Anomaly Separation显示文摘Anomaly separation using geochemical data often involves operations in the frequency domain, such as filtering and reducing noise/signal ratios. Unfortunately, the abrupt edge truncation of an image along edges and holes (with missing data) often causes frequency distribution distortion in the frequency domain. For example, bright strips are commonly seen in frequency distribution when using a Fourier transform. Such edge effect distortion may affect information extraction results; sometimes severely, depending on the edge abruptness of the image. Traditionally, edge effects are reduced by smoothing the image boundary prior to applying a Fourier transform. Zero-padding is one of the most commonly used smoothing methods. This simple method can reduce the edge effect to some degree but still distorts the image in some cases. Moreover, due to the complexity of geoscience images, which can include irregular shapes and holes with missing data, zero-padding does not always give satisfactory results. This paper proposes the use of decay functions to handle edge effects when extracting information from geoscience images. As an application, this method has been used in a newly developed multifractal method (S-A) for separating geochemical anomalies from background patterns. A geochemical dataset chosen from a mineral district in Nova Scotia, Canada was used to validate the method. | Ge Yong Department of Earth and Atmospheric Science, York University, Toronto, ON, M3J 1P3, Canada State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences & Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China Cheng Qiuming Department of Earth and Atmospheric Science, York University, Toronto, ON, M3J 1P3, Canada Earth Systems and Mineral Resource Engineering Lab, China University of Geosciences, Wuhan 430074, China Zhang Shenyuan Department of Earth and Atmospheric Science, York University, Toronto, ON, M3J 1P3, Canada Department of Resource and Earth Science, China University of Mining & Technology, Beijing 100083, China | 2004 | Journal of China University of Geosciences2004，15，4： | 28 |
| 2 | The Deep-Time Digital Earth program:data-driven discovery in geosciences显示文摘Current barriers hindering data-driven discoveries in deep-time Earth(DE)include:substantial volumes of DE data are not digitized;many DE databases do not adhere to FAIR(findable,accessible,interoperable and reusable)principles;we lack a systematic knowledge graph for DE;existing DE databases are geographically heterogeneous;a significant fraction of DE data is not in open-access formats;tailored tools are needed.These challenges motivate the Deep-Time Digital Earth(DDE)program initiated by the International Union of Geological Sciences and developed in cooperation with national geological surveys,professional associations,academic institutions and scientists around the world.DDE’s mission is to build on previous research to develop a systematic DE knowledge graph,a FAIR data infrastructure that links existing databases and makes dark data visible,and tailored tools for DE data,which are universally accessible.DDE aims to harmonize DE data,share global geoscience knowledge and facilitate data-driven discovery in the understanding of Earth’s evolution. | Chengshan Wang Robert MHazen Qiuming Cheng Michael HStephenson Chenghu Zhou Peter Fox Shu-zhong Shen Roland Oberhansli Zengqian Hou Xiaogang Ma Zhiqiang Feng Junxuan Fan Chao Ma Xiumian Hu Bin Luo Juanle Wang Craig M.Schiffries | 2021 | National Science Review2021，8，9： | 14 |
| 3 | Fractal and Multifractal Modeling of Hydrothermal Mineral Deposit Spectrum: Application to Gold Deposits in Abitibi Area, Ontario, Canada显示文摘A number of fractal/multifractal methods are introduced for quantifying the mineral deposit spectrum which include a number-size model, grade-tonnage model, power spectrum model, multifractal model and an eigenvalue spectrum model. The first two models characterize mineral deposits spectra based on relationships among the measures of mineral deposits. These include the number of deposits, size of deposits, concentration and volume of mineral deposits. The last three methods that deal with the spatial-temporal spectra of mineral deposit studies are all expected to be popularized in near future. A case study of hydrothermal gold deposits from the Abitibi area, a world-class mineral district, is used to demonstrate the principle as well as the applications of methods proposed in this paper. It has been shown that fractal and multifractal models are generally applicable to modeling of mineral deposits and occurrences. Clusters of mineral deposits were identified by several methods including the power spectral analysis, singularity analysis and the eigenvalue analysis. These clusters contain most of the known mineral deposits in the Timmins and Kirkland Lake camps. | Cheng Qiuming Department of Earth and Atmospheric Science, Department of Geography, York University, Toronto, Canada M3J1P3 Faculty of Earth Resources, China University of Geosciences, Wuhan 430074 | 2003 | Journal of China University of Geosciences2003，14，3： | 13 |
| 4 | Singularity theories and methods for characterizing mineralization processes and mapping geo-anomalies for mineral deposit prediction显示文摘在这份报纸,我们证明 geo 异例能根据理论开发了描绘非线性的矿化作用过程的奇特为矿物沉积物预言被描出。联系奇特和 geo 异例与现代非线性的理论和方法使它可能到份量上学习 geo 异例。这份报纸为为矿物沉积物预言描绘并且印射 geo 异例介绍非线性的矿化作用过程和非线性的方法的最新发达的奇特分析。作为 geo 异例引起的单个矿化作用过程的产品,矿藏能借助于分数维图形或 multifractal 模型被描绘。奇特能描绘 geo 反常的度,这被显示出,并且这被表明了为印射未被发现的矿藏的异例有用。从一个非线性的过程观点的矿化作用和矿藏的学习是一个新却有希望的研究方向。这研究强调在 geo 异例和奇特之间的关系,包括导致奇特和 geo 异例的单个过程,奇特和 geo 异例和为矿物沉积物预言的 geo 异例的鉴定的描述。这些概念和方法在云南在 Gejiu 矿物质区域用 Sn 矿物沉积物预言的案例研究被表明,中国。 | Qiuming Cheng Pengda Zhao | 2011 | Geoscience Frontiers2011，2，1： | 9 |
| 5 | Selection of Multifractal Scaling Breaks andSeparation of Geochemical andGeophysical Anomaly显示文摘Spatially superimposed multiple processes such as multiplicative cascade processes often generate multifractal measures possessing so-called self-similarity or self-affinity that can be described by power- law type of functions within certain scale ranges The multifractalities can be estimated by applying multifractal modeling to the measures reflecting the characteristics of the physical processes such as the element concentration values analyzed in rock and soil samples and caused by the underlying mineralization processes and the other geological processes. The local and regional geological processes may result in geochemical patterns with distinct multifractalities as wall as variable scaling ranges. Separation of these multifractal measures on the basis of both the distinct multifractalities and the scaling ranges will be significant for both theoretical studies of multifractal modeling and its applications. Multifractal scaling breaks have been observed from various multifractal patterns. This paper introduces a technique for separating multifractal measures on the basis of scaling breaks. It has been demonstrated that the method is effective for decomposing geochemical and geophysical anomalies required for mineral exploration. A dataset containing the element concentration values of potassium and phosphorus in soil samples was employed for demonstrating the application of the method for studying the fertilizer and yield optimization in | Cheng Qiuming Department of Earth and Atmospheric Science, Department of Geography, York University, Toronto, Ontario, Canada, M3J 1P3 | 2001 | Journal of China University of Geosciences2001，12，1： | 7 |
| 6 | Mapping Spatial Distribution Characteristics of Lineaments Extracted from Remote Sensing Image Using Fractal and Multifractal Models显示文摘Mapping mineral prospectivity in vegetated areas is a challenge. For this reason, we aimed to map spatial distribution characteristics of linear structures detected in remote sensing images using fractal and multifractal models. The selected study area was the Pinghe District of the Fujian Province(China), located in the Shanghang-Yunxiao polymetallic and alunite ore belt(within the Wuyishan polymetallic belt), where mineral resources such as copper, molybdenum, gold, silver, iron, lead, zinc, alunite and pyrophyllite have been discovered. The results of our study showed that:(1) the values of fractal dimension for all lineaments, NW-trending lineaments, and NE-trending lineaments, are 1.36, 1.32, and 1.23, respectively, indicating that these lineaments are statistically self-similar;(2) the fractal dimensions of the spatial distribution of the linear structures in the four selected hydrothermal-type ore deposits of the Pinghe District, named Zhongteng, Panchi, Xiaofanshan and Fanshan, are 1.43, 1.52, 1.37 and 1.37, respectively, which are higher than the mean value in South China;(3) the spatial distribution of the linear structures extracted from the remote sensing image and displayed by the contour map of fractal dimensions, correlates well with the known hydrothermal ore deposits; and(4) the results of the anomaly map decomposed by the spectrum-area(S-A) multifractal model is much better than the original fractal dimension contour map, which showed most of the known hydrothermal-type deposits occur in the high anomalous area. It is suggested that a high step tendency possibly matches with the boundary of the volcanic edifice and the deep fault controlling the development of the rock mass and the volcanic edifice. The complexity of the spatial distribution of mapped lineations(faults) in the Pinghe District, characterized by high values in the anomaly map, may be associated with the hydrothermal polymetallic ore mineralization in the study area. | Cheng Lyu Qiuming Cheng Renguang Zuo Xueping Wang | 2017 | Journal of Earth Science2017，28，3： | 7 |
| 7 | Fractal Correction of Well Logging Curves显示文摘It is always significant for assessing and evaluation of oil bearing layers, especially for well logging data processing and interpretation of non marine oil beds to get more accurate physical properties in thin and inter thin layers. This paper presents a definition of measures and the measure presents power law relation with the corresponded scale described by fractal theory. Thus, logging curves can be reconstructed according to this power law relation. This method uses the local structure nearby concurrent points to compensate the average effect of logging probes and measurement errors. As an example, deep and medium induced conductivity (IMPH and IDPH) curves in ODP Leg 127 Hole 797C are reconstructed or corrected. Corrected curves are with less adjacent effects through comparison of corrected curves with original one. And also, the power spectra of corrected well logging curve are abounding with more resolution components than the original one. Thus, fractal correction method makes the well logging more resoluble for thin beds. | Li Qingmou Cheng Qiuming Institute of Geology & Geophysics, Chinese Academy of Sciences, Beijing 100101 Department of Earth and Atmospheric Science, York University, Toronto, Ontario, Canada, M3J 1P3 | 2001 | Journal of China University of Geosciences2001，12，3： | 5 |
| 8 | Geoscience knowledge graph in the big data era显示文摘Since the beginning of the 21 st century,the geoscience research has been entering a significant transitional period with the establishment of a new knowledge system as the core and with the drive of big data as the means.It is a revolutionary leap in the research of geoscience knowledge discovery from the traditional encyclopedic discipline knowledge system to the computer-understandable and operable knowledge graph.Based on adopting the graph pattern of general knowledge representation,the geoscience knowledge graph expands the unique spatiotemporal features to the Geoscience knowledge,and integrates geoscience knowledge elements,such as map,text,and number,to establish an all-domain geoscience knowledge representation model.A federated,crowd intelligence-based collaborative method of constructing the geoscience knowledge graph is developed here,which realizes the construction of high-quality professional knowledge graph in collaboration with global geo-scientists.We also develop a method for constructing a dynamic knowledge graph of multi-modal geoscience data based on in-depth text analysis,which extracts geoscience knowledge from massive geoscience literature to construct the latest and most complete dynamic geoscience knowledge graph.A comprehensive and systematic geoscience knowledge graph can not only deepen the existing geoscience big data analysis,but also advance the construction of the high-precision geological time scale driven by big data,the compilation of intelligent maps driven by rules and data,and the geoscience knowledge evolution and reasoning analysis,among others.It will further expand the new directions of geoscience research driven by both data and knowledge,break new ground where geoscience,information science,and data science converge,realize the original innovation of the geoscience research and achieve major theoretical breakthroughs in the spatiotemporal big data research. | Chenghu ZHOU Hua WANG Chengshan WANG Zengqian HOU Zhiming ZHENG Shuzhong SHEN Qiuming CHENG Zhiqiang FENG Xinbing WANG Hairong LV Junxuan FAN Xiumian HU Mingcai HOU Yunqiang ZHU | 2021 | Science China Earth Sciences2021，64，7： | 4 |
| 9 | Zircon U-Pb-Hf Isotopic Systematics and Geochemistry of the Granites in the Wurinitu Molybdenum Deposit, Inner Mongolia, China: Implications for Tectonic Setting and Genetic Type of Mineralization显示文摘The Wurinitu Mo deposit is one of the newly found molybdenum deposits in the southwestern part of the late Paleozoic–Mesozoic Erenhot–Dong-Ujimqin metallogenic belt(S-EDMB),Inner Mongolia,China. In the present study,the mineralization age of the Wurinitu deposit is constrained to 137.3 ± 1.3 to 131.9 ± 1.5 Ma based on a combination of the laser ablation–inductively coupled plasma–mass spectrometry(LA–ICP–MS) zircon U–Pb dating of the mineralization related fine-grained monzonitic granite and the post-mineralization granite porphyry. The results of zircon Lu–Hf isotopes,combined with the geochemical characteristics of the granites in the S-EDMB,suggest that the Wurinitu Mo deposit was formed in an extensional environment in relation to the subduction of the Paleo-Pacific plate in late Mesozoic. The Wurinitu deposit shares similarities with the classical Climaxtype porphyry molybdenum deposits in tectonic setting,mineral assemblages,and metal zonation. | ZHANG Zhenjie CHENG Qiuming YAO Lingqing BAI Huishan LI Cheng | 2016 | Acta Geologica Sinica(English Edition)2016，90，6： | 3 |
| 10 | Mineral Potential Mapping for Tungsten Polymetallic Deposits in the Nanling Metallogenic Belt, South China显示文摘The Nanling belt in South China has considerable resources of tungsten polymetallic commodities and is one of the most important metallogenic belts in the world. Data-driven weights-of-evidence(WofE) and fuzzy logic models are used to evaluate the tungsten polymetallic potential of the Nanling belt. Initially, seven ore-controlling factors derived from multi-source geospatial datasets(e.g., geological, geochemical, and geophysical) are used for data integration in the two models. Two mineral potential maps are generated that efficiently predicate the locations of the deposits. The WofE map predicate 81% of the deposits within 13.6% of the study area, whereas the fuzzy logic map predicate 81.5% of the deposits within 13% of the area. The predictive maps are syntheses of spatial association rules, which provide better understanding of those factors that control the distribution of mineralization and trigger eventual exploration work in new areas. Subsequently, in order to evaluate the success rate accuracy, the receiver operating characteristic curves and area under the curves(AUCs) for the two potential maps are constructed. The results show that the AUCs for the WofE and fuzzy logic models are 0.775 7 and 0.840 6, respectively. The higher AUC value for the fuzzy logic model implies that it delineate a greater number of favorable areas compared with the WofE model. Overall, the capabilities of both models for correctly classifying areas with existing mineral deposits are satisfactory. | Yue Liu Qiuming Cheng Qinglin Xia Xinqing Wang | 2014 | Journal of Earth Science2014，25，4： | 3 |
| 11 | New Fractal Evidence of Pacific Plate Subduction in the Late Mesozoic, Great Xing’an Range, Northeast China显示文摘Late Mesozoic granitoids are widespread in the Great Xing’an Range(GXR), which is part of a large igneous province in eastern China. The geodynamic setting of the Late Mesozoic granitoids is still debated, and there have been two dominant models proposed, subduction and thermal erosion. This study discusses the geodynamic mechanisms from a new perspective on ages of the granitoids and fractal dimensions of their shape. Our results show that granitoids become gradually older from South GXR to North GXR to Erguna Block(EB) in the Jurassic, and opposite in the Cretaceous. The fractal dimensions of the Perimeter-area model(DAP) exhibit the same features. The values of DAP are smaller from South GXR(0.673 1) to North GXR(0.628 0) to EB(0.607 9) in the Jurassic, and larger from South GXR(0.609 6) to North GXR(0.630 2) to EB(0.639 9) in the Cretaceous. This implies that the geometrical irregularities of the granitoids are shaped by subduction rather than thermal erosion. These spatial variations could be best explained by the subduction of the Pacific Plate and consequent granitoid magmatism in the Late Mesozoic, thus providing a new fractal evidence for Pacific Plate subduction mechanism and opening a new possibility method for studing plate movement. | Pingping Zhu Qiuming Cheng Guoxiong Chen | 2019 | Journal of Earth Science2019，30，5： | 2 |
| 12 | Geochemical and Geophysical Data Processing Aided by“Multifractal-Spectrum”Filters for GIS-Based Mineral Exploration显示文摘A recently developed method, on the bases of “multifractal spectrum” filters for mineral exploration, is introduced in this paper. The “multifractal spectrum” filters, a group of irregularly shaped filters that are constructed on each processed datum, can be used to separate various types of geochemical and geophysical anomalies. The basic model, with an emphasis on the GIS based implementation and the application to the geochemical and geophysical data processing for mineral exploration in southern Nova Scotia, Canada, indicates its advantage in the separation of multiple anomalies from the background. | Xu Yaguang Cheng Qiuming Department of Earth and Atmospheric Science, York University, North York, Ontario, M3j 1P3 Canada | 2000 | Journal of Earth Science2000，19，2： | 2 |
| 13 | Multifractal filtering method for extraction of ocean eddies from remotely sensed imagery显示文摘Traditional methods of extracting the ocean wave eddy information from remotely sensed imagery mainly use the edge detection technology such as Canny and Hough operators. However, due to the complexities of ocean eddies and image itself, it is sometimes difficult to successfully detect ocean eddies using these methods. A multifractal filtering technology is proposed for extraction of ocean eddies and demonstrated using NASA MODIS,SeaWiFS and NOAA satellite data set in the typical area, such as ocean west boundary current. Results showed that the new method has a superior performance over the traditional methods. | GE Yong DU Yunyan CHENG Qiuming LI Ce | 2006 | Acta Oceanologica Sinica2006，25，5： | 2 |
| 14 | Quantitative simulation and prediction of extreme geological events显示文摘The systematic study of extreme geological events(such as plate collision and subduction, extreme cold and extreme hot events, biological extinction and revival, earthquakes, volcanoes, mineralization, and oil accumulation) that occurred during the evolution of the earth is essential not only for understanding the “abrupt changes in the evolution of the earth”, but also for an in-depth understanding of the co-evolution of material-life-environment of the livable earth. However, due to the temporal and spatial anomalies and complexity of extreme geological events, classical mathematical models cannot be effectively applied to quantitively describe such events. After comparative studies of many types of geological events, the author found that such extreme geological events often depict “singular” characteristics(abnormal accumulation or depletion of matter or massive release or absorption of energy in a small space or time interval). On this basis, the author proposes a unified definition of extreme geological events, a new concept of “fractal density” and a “local singularity analysis” method for quantitative description and modeling of extreme geological events. Applications of these methods to several types of extreme geological events have demonstrated that the singularity theory and methods developed in the current research can be used as general approaches for the characterization, simulation, and prediction of geological events. | Qiuming CHENG | 2022 | Science China Earth Sciences2022，65，6： | 2 |
| 15 | Application of singularity mapping technique to identify local anomalies using stream sediment geochemical data, a case study from Gangdese, Tibet, western China显示文摘 | Renguang Zuo Qiuming Cheng F.P. Agterberg Qinglin Xia | 2008 | Journal of Geochemical Exploration2008，，3： | 1 |
| 16 | Mapping singularities with stream sediment geochemical data for prediction of undiscovered mineral deposits in Gejiu, Yunnan Province, China显示文摘 | Qiuming Cheng | 2006 | Ore Geology Reviews2006，，1： | 1 |
| 17 | Multifractality and spatial statistics显示文摘 | Qiuming Cheng | 1999 | Computers and Geosciences1999，，9： | 1 |
| 18 | Fractal characterization of the spatial distribution of geological point processes显示文摘 | Renguang Zuo Frederik P. Agterberg Qiuming Cheng Lingqing Yao | 2009 | International Journal of Applied Earth Observations and Geoinformation2009，，6： | 1 |
| 19 | Fractal and multifractal analysis of carbonate pore-scale digital images of petroleum reservoirs显示文摘 | Xie Shuyun Cheng Qiuming | 2010 | Marine Pet Geol2010，27，2： | 1 |
| 20 | VisualAnomaly:A GIS-based multifractal method for geochemical and geophysical anomaly separation in Walsh domain显示文摘 | Qingmou Li Qiuming Cheng | 2006 | computer & geoscience2006，32，： | 1 |
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