成秋明，1960年生，山西太谷人，中国地质大学（北京）教授，地质过程与矿产资源国家重点实验室主任，数学地球科学学家、矿产勘查学家。他1982和1985年分获长春地质学院学士和硕士学位，1994年获加拿大渥太华大学博士学位。曾任加拿大约克大学教授。2002年获聘“”，2005年获得国家科学基金，2019年当选中国科学院院士。

成秋明长期从事定量地学研究，创立了地质过程奇异性理论、非线性矿产定量预测理论与方法体系。他发现成矿、地震、火山等复杂地质事件质量和能量密度普遍具有分形分布规律，提出了“分形密度”新概念，建立了“密度-尺度”分形模型，推导了度量复杂地质过程中物质超常聚集与能量巨量释放强度的“奇异性指数”，研发了复杂背景与叠加异常分离、弱信息提取和多源信息融合等新技术，实现了奇异性事件结构、规律和过程的定量表征与模拟，以及覆盖区和深部矿产定量预测，开辟了地学大数据分析的新领域。其成果在国内外得到广泛应用，并取得显著找矿实效，受到国际地球科学界的高度赞誉，被认为“成功推进了非线性理论在固体地球科学中的应用，不仅对地球科学，且对物理学和数学均具有重要意义”，2008年获得国际数学地球科学协会（IAMG）最高奖—克伦宾奖，2013年获得国家科技进步二等奖。

成秋明2004年牵头组建地质过程与矿产资源国家重点实验室并获成功。他先后担任国际勘查地球化学杂志（JGE）和国际计算机地球科学（C&G）杂志副主编，2015年入选国务院学位委员会第七届学科评议组，2012年当选国际数学地球科学协会（IAMG）主席，2016年当选国际地质科学联合会（IUGS）主席，2019年当选国际科学理事会（ISC）首届科学规划委员会委员。

---

近五年部分论文

[1]Fan, J., Shen, S., Erwin, D.H., Sadler, P.M., MacLeod, N., Cheng, Q., Hou, X., Yang, J., Wang, X., Wang, Y., Zhang, H., Chen, X., Li, G., Zhang, Y., Shi, Y., Yuan, D., Chen, Q., Zhang, L., Li, C., Zhao, Y., 2020, A high-resolution summary of Cambrian to Early Triassic marine invertebrate biodiversity, Science 17 Jan 2020: 367 (6475), 272-277. DOI: 10.1126/science.aax4953
[2]Wu, G. Chen, Q., Wang, D., Cheng, Q., Zhang, Z., Yang, J., Xie, S., 2020, Identifying mineral prospectivity using seismic and potential field data in the Hongniangyu district, Inner Mongolia, China. Ore Geology Reviews. 119, April 2020, 103317. https://doi.org/10.1016/j.oregeorev.2020.103317
[3]Ge, Y., Jin, Y., Stein, A., Chen, Y., Wang, J., Wang, J., Cheng, Q., Bai, H., Liu, M., Atkinson, P.M., 2019, Principles and methods of scaling geospatial Earth science data, Earth-Science Review 197, October 2019, 102897. https://doi.org/10.1016/j.earscirev.2019.102897
[4]Sun, R., Chu, L., Zhang, G., Cheng, Q., Xiang, Y., Hu, B., Zhang, C., Li, J., Zhao, Y., 2019, Sulfide Ore Prospecting in Carbon-containing Stratum by Comprehensive Time-domain Induced Polarization and Controlled Source Audio-frequency Magnetotellurics. Appl. Geophys. (2019). https://doi.org/10.1007/s11770-018-0715-4
[5]Zhu, P., Cheng, Q., Chen, G., 2019, New Fractal Evidence of Pacific Plate Subduction in the Late Mesozoic, Great Xing’an Range, Northeast China. J. Earth Sci. 30, 1031–1040 (2019). https://doi.org/10.1007/s12583-019-1216-y
[6]Gao, M., Grujic, D., Cheng, Q., 2019, Crustal density structures and isostasy beneath the Western North China Craton, Trans-North China Orogen, and surrounding regions, Geoscience Frontiers, https://doi.org/10.1016/j.gsf.2019.07.003
[7]Cheng, Q., 2019, Integration of deep‐time digital data for mapping clusters of porphyry copper mineral deposits, Acta Geologica Sinica‐English Edition (2019), 93 (suppl. 1): 8-10. https://doi.org/10.1111/1755-6724.14228
[8]Zhu, P., Cheng, Q., 2019, Singularity Analysis of Volcanic Ages and Implications for Tectonic Setting in the Mesozoic, Great Xing’an Range, Northeast China, Minerals 2019, 9(7), 419: 1-10 https://doi.org/10.3390/min**
[9]Zhou, S., Yuana, Z., Cheng, Q., Weindor, D.C., Zhang, Z., Yang, J., Zhang, X., Chen, G., Xie, S., 2019, Rapid quantitative analysis of iron and silicon concentrations in iron ore concentrate using Portable X-ray Fluorescence (XRF), Applied Spectroscopy, 74 (1): 55-62. https://doi.org/10.1177/1627
[10]Liu, Y., Cheng, Q., Carranza, E.J.M. Zhou, K., 2019, Assessment of geochemical anomaly uncertainty through geostatistical simulation and singularity analysis, Nat Resources Res (2019) 28, 199–212. https://doi.org/10.1007/s11053-018-9388-1
[11]Feng, J., Zhang, Y., Cheng, Q., Liang, S., Jiang, T., 2019, Analysis of summer Antarctic sea ice anomalies associated with the spring Indian Ocean dipole, Global and Planetary Change, Volume 181, October 2019, 102982. https://doi.org/10.1016/j.gloplacha.2019.102982
[12]Liu, J., Cheng, Q., 2019, A modified weights-of-evidence method for mineral potential prediction based on structural equation modeling, Nat Resources Res (2019) 28: 1037–1053(2019). https://doi.org/10.1007/s11053-018-9435-y
[13]Yang, J., Grunsky, E., Cheng, Q., 2019, A novel hierarchical clustering analysis method based on Kullback–Leibler divergence and application on dalaimiao geochemical exploration data, Computers & Geosciences, 123: 10-19. https://doi.org/10.1016/j.cageo.2018.11.003
[14]Ji, C., Zhang, Y., Cheng, Q., Li, Y., Jiang, T., Liang, S., 2019, Analyzing the variation of the precipitation of coastal areas of eastern China and its association with sea surface temperature (SST) of other seas, Atmospheric Research, 219: 114-122. https://doi.org/10.1016/j.atmosres.2018.12.027
[15]Yang, J., Grunsky, E., Cheng, Q., 2019, Guidelines for Enhancing the Signature of Multi-element Mineralization Using Principal Component Analysis: Part 1—Monte Carlo Simulation, Nat Resources Res (2019) 28: 431–442. https://doi.org/10.1007/s11053-018-9392-5
[16]Liu, Y., Cheng, Q., Zhou, K., 2019, New insights into element distribution patterns in geochemistry: a perspective from fractal density, Natural Resources Research. 28: 5–29. https://doi.org/10.1007/s11053-018-9374-7.
[17]Wang, C., Shen, S., Zhou, C., Hou, Z., Cheng, Q., Oberhensli, R., Stephenson, M., 2019, Decodification of earth evolution in deep time. Acta Geologica Sinica‐English Edition (2019), 93 (suppl. 1): 1-2.
[18]Cheng, Q., 2018. Extrapolations of secular trends in magmatic intensity and mantle cooling: Implications for future evolution of plate tectonics. Gondwana Research, 63: 268-273.
[19]Cheng, Q., Agterberg, F., 2018. Preface: Multifractals and singularity analysis in mineral exploration and environmental assessment. Journal of Geochemical Exploration, 189: 1.
[20]Cheng, Q., Sun, H., 2018. Variation of singularity of earthquake-size distribution with respect to tectonic regime. Geoscience Frontiers, 9(2): 453-458.
[21]Chen, G., Cheng, Q., 2018. Fractal-based wavelet filter for separating geophysical or geochemical anomalies from background. Mathematical Geosciences, 50(3): 249-272.
[22]Daya Sagar, S.B., Cheng, Q., Agterberg, F., 2018. Handbook of Mathematical Geosciences | SpringerLink. Springer, Cham, 1-914 pp.
[23]Ji, C., Zhang, Y., Cheng, Q., Li, Y., Jiang, T., San Liang, X., 2018. On the relationship between the early spring Indian Ocean's sea surface temperature (SST) and the Tibetan Plateau atmospheric heat source in summer. Global and Planetary Change, 164: 1-10.
[24]Ji, C., Zhang, Y., Cheng, Q., Tsou, J., Jiang, T., Liang, X.S., 2018. Evaluating the impact of sea surface temperature (SST) on spatial distribution of chlorophyll-a concentration in the East China Sea. International Journal of Applied Earth Observation and Geoinformation, 68: 252-261.
[25]Lei, L., Xie, S., Chen, Z., Carranza, E.J.M., Bao, Z., Cheng, Q., Yang, F., 2018. Distribution patterns of petroleum indices based on multifractal and spatial PCA. Journal of Petroleum Science and Engineering, 171: 714-723.
[26]Liu, J., Cheng, Q., 2018. A Modified Weights-of-Evidence Method for Mineral Potential Prediction Based on Structural Equation Modeling. Natural Resources Research, 27: 1-17.
[27]Yang, J., Grunsky, E., Cheng, Q., 2018. Guidelines for Enhancing the Signature of Multi-element Mineralization Using Principal Component Analysis: Part 1-Monte Carlo Simulation. Natural Resources Research, 27: 1-12.
[28]Yue, L., Cheng, Q., Zhou, K., 2018. New Insights into Element Distribution Patterns in Geochemistry: A Perspective from Fractal Density. Natural Resources Research, 27: 1-25.
[29]Yue, L., Cheng, Q., Carranza, E.J.M., Zhou, K., 2018. Assessment of Geochemical Anomaly Uncertainty Through Geostatistical Simulation and Singularity Analysis. Natural Resources Research, 27: 1-14.
[30]Zhang, Z., Cheng, Q., Yang, J., Hu, X., 2018. Characterization and origin of granites from the Luoyang Fe deposit, southwestern Fujian Province, South China. Journal of Geochemical Exploration, 184: 119-135.
[31]Zhou, S., Yuan, Z., Cheng, Q., Zhang, Z., Yang, J., 2018. Rapid in situ determination of heavy metal concentrations in polluted water via portable XRF: Using Cu and Pb as example. Environmental Pollution, 243: 1325-1333.
[32]Zhang B., Chen, Y., Huang A. Lu H., Cheng Q., 2018. Geochemical field and its roles on the 3D prediction of concealed ore-bodies. Acta Petrologica Sinica, 34(02): 352-362. (in Chinese with English abstract)
[33]Chen, G., Cheng, Q., 2017. Fractal density modeling of crustal heterogeneity from the KTB deep hole. Journal of Geophysical Research Solid Earth, 122(3): 1919-1933.
[34]Cheng, Q., 2017a. Singularity analysis of global zircon U-Pb age series and implication of continental crust evolution. Gondwana Research, 51: 51-63.
[35]Cheng, Q., 2017b. A new mathematical framework and spatial decision support system for modeling cascade interdependency of critical infrastructure during geo-disasters. Journal of Earth Science, 28(1): 131-146.
[36]Cheng, Q., 2017c. Singularity analysis of magmatic flare-ups caused by India – Asia collisions. Journal of Geochemical Exploration, 189(SI): 25-31.
[37]Cheng, L., Cheng, Q., Zuo, R., Wang, X., 2017. Mapping Spatial Distribution Characteristics of Lineaments Extracted from Remote Sensing Image Using Fractal and Multifractal Models. Journal of Earth Science, 28(3): 507-515.
[38]Wang, W., Cheng, Q., Tang, J., Pubuciren, Song, Y., Li, Y., Liu, Z., 2017. Fractal/multifractal analysis in support of mineral exploration in the Duolong mineral district, Tibet, China. Geochemistry-exploration Environment Analysis, 17(3): 261-276.
[39]Wang, W., Cheng, Q., Zhang, S., Zhao, J., 2017. Anisotropic singularity: A novel way to characterize controlling effects of geological processes on mineralization. Journal of Geochemical Exploration, 189: 32-41.
[40]Wang, W., Zhao, J., Cheng, Q., Zhang, S., 2017. Spatially quantitative characterization of geological processes associated with polymetallic Sn-W mineralization in the Malipo mineral district, Southeastern Yunnan, China. Ore Geology Reviews, 91: 1147-1161.
[41]Zhang, D., Cheng, Q., Agterberg, F., 2017. Application of spatially weighted technology for mapping intermediate and felsic igneous rocks in Fujian Province, China. Journal of Geochemical Exploration, 178: 55-66.
[42]Zhu, P., Cheng, Q., Zhang, Z., Wang, Z., 2017. Genesis and implications of the Late Jurassic Hailesitai granites in the northern Greater Khingan Range: evidence from zircon U–Pb dating and Hf isotope. Geological Magazine, 154(5): 1-20.
[43]Yue, L., Zhou, K., Cheng, Q., 2017. A new method for geochemical anomaly separation based on the distribution patterns of singularity indices. Computers & Geosciences, 105: 139-147.
[44]Zhao, J., Wang, W., Cheng, Q., Agterberg, F.P., 2016, Mapping of Fe mineral potential by spatially weighted principal component analysis in the eastern Tianshan mineral district, China. Journal of Geochemical Exploration, 164: 107-121.
[45]Xu, Q., Cheng, Q., Zuo, R., Wang, H., 2016, Application of improved bi-dimensional empirical mode decomposition (BEMD) based on Perona–Malik to identify copper anomaly association in the southwestern Fujian (China). Journal of Geochemical Exploration 164: 65-74.
[46]Li, H., Jing, L., Wang, L., Cheng, Q., 2016, Improved pansharpening with un-mixing of mixed sub-pixels near boundaries between vegetation and non-vegetation objects. Remote Sensing 8 (2): 1-24.
[47]Liu Q, Cheng Q, Wang X, Li X.,2016, Soil salinity inversion in Hetao Irrigation district using microwave radar. Transactions of the Chinese Society of Agricultural Engineering, 32(16):109-14.
[48]Liu Y, Cheng Q, Zhou K, Xia Q, Wang X., 2016, Multivariate analysis for geochemical process identification using stream sediment geochemical data: A perspective from compositional data. Geochemical Journal, 50(4): 293-314.
[49]Cheng, Q., 2016, Fractal density and singularity analysis of heat flow over ocean ridges. Scientific Reports, doi: 10.1038/srep19167.
[50]Zhu P, Cheng Q, Zhang Z, et al., 2016, Genesis and implications of the Late Jurassic Hailesitai granites in the northern Greater Khingan Range: evidence from zircon U–Pb dating and Hf isotope[J]. Geological Magazine, 1:1-20
[51]Zhao, J., Wang, W., Cheng, Q., Agterberg, F., 2016, Mapping of Fe mineral potential by spatially weighted principal component analysis in the eastern Tianshan mineral district, China. Journal of Geochemical Exploration 164:107-121.
[52]Chen, Q., Cheng, Q., Zhang, H., 2016, Matched filtering method for separating magnetic anomaly using fractal model. Computers & Geosciences 90:179-188.
[53]Zhang, D., Cheng, Q., Agterberg, F., Chen, Z., 2016, An improved solution of local window parameters setting for local singularity analysis based on Excel VBA batch processing technology. Computers & Geosciences 88: 54-66.
[54]Zhang, Z., Cheng, Q., Yao, L., Bai, C., 2016, 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. ACTA GEOLOGICA SINICA, 2066–2079
[55]de Mulder, EFJ., Cheng, Q., Agterberg, F., Goncalves, M., 2016, New and game-changing developments in geochemical exploration. Episodes 39 (1): 70-71.
[56] Chen, Q., Cheng, Q., Zuo, R., 2016, Fractal analysis of geochemical landscapes using scaling noise model. Journal of Geochemical Exploration 161: 62-71.
[57]Chen, Q., and Cheng, Q., 2016, Singularity analysis based on wavelet transform of fractal measures for identifying geochemical anomaly in mineral exploration. Computers & Geosciences 87: 56-66.
[58]Cheng. Q., 2015, BoostWofE: A new sequential weights of evidence model reducing the effect of conditional dependency. Mathematical Geosciences, 47: 591-621.
[59]Cheng, Q., 2015 Multifractal Interpolation Method for Spatial Data with Singularities. The Southern African Institute of Mining and Metallurgy. 115, 235-240.
[60]Chen, G., Cheng, Q., Zuo, R., Liu, T., and Xi, Y., 2015, Identifying gravity anomalies caused by granitic intrusions in Nanling mineral district, China: a multifractal perspective, Geophysical Prospecting, 63: 256–270.
[61]Chen, G., Liu, T., Sun, J., Cheng, Q., Sahoo, B., Zhang, Z., Zhang, H., 2015, Gravity method for investigating the geological structures associated with W–Sn polymetallic deposits in the Nanling Range, China. Journal of Applied Geophysics, 120: 14-25.
[62]Yang, J, Agterberg, F.P., Cheng, Q., 2015, A novel filtering technique for enhancing mineralization associated geochemical and geophysical anomalies, Computers & Geosciences, 79: 94-104.
[63]Yang, J., Cheng, Q., 2015, A comparative study of independent component analysis with principal component analysis in geological objects identification, Part I: Simulations. Journal of Geochemical Exploration, 149:127–135.
[64]Yang, J., Cheng, Q., 2015, A comparative study of independent component analysis with principal component analysis in geological objects identification. Part II: A case study of Pinghe District, Fujian, China. Journal of Geochemical Exploration, 149:136-146.
[65]Wang, H., Cheng, Q., Zuo, R., 2015, Spatial characteristics of geochemical patterns related to Fe mineralization in the southwestern Fujian province (China). Journal of Geochemical Exploration, 148: 259–269.
[66]Wang, H., Cheng, Q., Zuo R., 2015, Quantifying the spatial characteristics of geochemical patterns via GIS-based geographically weighted statistics. Journal of Geochemical Exploration, 157: 110-119.
[67] Liu, J., Cheng, Q., Wang, J., 2015, Identification of geochemical factors in regression to mineralization endogenous variables using structural equation modeling. Journal of Geochemical Exploration, 150: 125-136.
[68]Liu, Y., Cheng, Q., Xia, Q., Wang, X., 2015, The use of evidential belief functions for mineral potential mapping in the Nanling belt, South China, Frontiers of Earth Science, 9: 342-354.
[69]Zhang, Z., Zuo, R., Cheng, Q., 2015, The mineralization age of the Makeng Fe deposit, South China: implications from U–Pb and Sm–Nd geochronology. International Journal of Earth Sciences, 104: 663-682.
[70]Zhang, Z., Zuo, Q., Cheng, Q., 2015, Geological features and formation processes of the Makeng Fe deposit, China. J. Resource Geology, 65: 266-284.

---

国家重点研发计划-“深地资源勘查开采”重点专项 ：深部矿产资源评价理论与方法（2016-2020，主持）

中国地质调查局-二级项目：内蒙古集宁浅覆盖区矿产地质调查（2016-2018，主持）

国家自然科学基金重点项目：沙漠-草原覆盖区矿产综合预测理论与隐伏矿床含矿信息提取方法（2015-2019，主持）

中国地质调查局-计划项目：覆盖区成矿推广示范（2013-2015，主持）

中国地质调查局-计划项目：覆盖区矿产综合预测（2010-2012，主持）

国家自然科学基金重点项目：基于多重分形理论的成矿过程模拟与矿产资源定量评价（2007-2010，主持）

国家高技术研究发展计划(863计划)课题：区域成矿多元信息处理新方法和新技术（2007-2009，主持）

教育部创新团队：成矿复杂系统与资源定量化预测团队（2008-2010，主持）

国家科学基金：成矿复杂系统和矿产资源评价非线性理论与模型（2006-2009，主持）

---

[1]Daya Sagar, S.B., Cheng, Q., Agterberg, F., 2018. Handbook of Mathematical Geosciences | SpringerLink. Springer, Cham, 1-914 pp.
[2]Bonham-Carter, G. and Cheng, Q. (eds.), 2008, “Progress of Geomathematics”, a book published by Springer, August 2008, 568p.
[3]Cheng, Q., 2000, GeoData Analysis System (GeoDAS) for Mineral Exploration: User’s Guide and Exercise Manual. Unpublished material for the training workshops on GeoDAS, 204p.
[4]Wang, S., Cheng, Q., and Fan, J., 1990, Methods for Gold Mineral Resources Appraisal (translated title): Press of Jilin Sci. & Tech., (in Chinese), Jilin, P.R. China, 441p.
[5]Wang, S., Wang, Y., and Cheng, Q., 1987, Comprehensive Information Mineral Resource Appraisal (translated title): Press of the China Univ. of Geosciences, (in Chinese), Wuhan, P.R. of China, 210p.

---

1）国家科学技术进步二等奖，排名第一，2013年

2）国土资源科学技术一等奖，排名第一，2011年

3）国际数学地球科学协会（IAMG）最高终身荣誉奖——克伦宾奖章，2008年

4）国际数学地球科学协会（IAMG）青年科学家奖——主席奖，1995年

5）渥太华大学最佳毕业生奖，1995年

6）加拿大安大略省总理最佳研究奖，2000年

7）加拿大国家重点创新研究基金资助研究员奖，1998年

8）日本科学促进会外籍研究员资助，2001年

9）教育部奖励计划，2002年

10）国土资源部“先进个人奖”，2014年

11）湖北省有突出贡献的中青年专家称号，2010年

12）中国地质调查局“李四光”称号，2016年

---

---