基本介紹
- 畢業院校：Harvard University, USA
- 學位/學歷：博士
- 職業：教師
- 專業方向：Fluid mechanics
- 外文名：GEORGE CHRISTAKOS
- 任職院校：浙江大學海洋學院
個人經歷,研究方向,學術成果,
個人經歷
教育背景
PhD, Harvard University, USA, 1990
DSc, National Technical University of Athens, Greece, 1986
MS, Massachusetts Institute of Technology, USA, 1982
MSc, University of Birmingham, UK, 1980
Diploma, National Technical University of Athens, Greece, 1979
學術任職
Editor in Chief
Journal of Stochastic Environmental Research & Risk Assessment
Editorial Boards
Chilean Journal of Statistics
Environmental & Ecological Statistics
Environmental Informatics
Frontiers in Interdisciplinary Climate Studies
Social Sciences
Water Quality, Exposure & Health
研究方向
Spatiotemporal modeling of natural systems in uncertain environments
Medical geography and geographical epidemiology
Environmental health and human exposure analysis
Modern geostatistics and space-time statistics
Stochastic theory, probabilistic logic and risk assessment
Interdisciplinary Knowledge Synthesis and Temporal GIS
Fluid mechanics
Environmental pollution monitoring and control
學術成果
論文：
2019
1. He, J., Chen, Y., Wu J., Stow D.,Christakos, G*. Space-Time Chlorophyll-a Retrieval in Optically Complex Waters that Accounts for Remote Sensing and Modeling Uncertainties and Improves Remote Estimation Accuracy. Water Research (In press)
2. He, J., Yang, Y*.,Christakos, G., Liu, Y., Yang, X. (2019).Assessment of soil heavy metal pollution using stochastic site indicators. Geoderma, 337, 359-367
3. He J,Christakos G*, Wu J, Jankowski P, Langousis A, Wang Y, et al. (2019) Probabilistic logic analysis of the highly heterogeneous spatiotemporal HFRS incidence distribution in Heilongjiang province (China) during 2005-2013. PLoS Neglected Tropical Diseases, 13(1): e0007091.
4. He J,Christakos G*,Jankowski P. (2019).Comparative Performance of the LUR, ANN, and BME Techniques in the Multiscale Spatiotemporal Mapping of PM2.5 Concentrations in North China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. In press
5.He, M., He, J.,Christakos, G*. Improved Space-Time Sea Surface Salinity Mapping in Western Pacific Ocean Using Contingogram Modeling. Stochastic Environmental Research and Risk Assessment (In press)
6. Jiang Q., He J., Wu J., He M., Bartley E., Ye G.*,Christakos G*. (2019).Space-Time Characterization and Risk Assessment of Nutrient Pollutant Concentrations in China's Near Seas.Journal of Geophysical Research: Oceans. In press
7. Xiao L,Christakos G*, He J, Lang Y., (2019).Space-Time Ground-Level PM2.5 Distribution at the Yangtze River Delta: A Comparison of Kriging, LUR, and Combined BME-LUR Techniques.Journal of Environmental Informatics. In press.
8. Fei X,Christakos G, Xiao R, Ren Z., Liu Y, Lv X. (2019). Improved heavy metal mapping and pollution source apportionment in Shanghai City soils using auxiliary information.Science of The Total Environment. 661, 168-177
9. Fei X, Xiao R,Christakos G, Langousis A, Ren Z, Tian Y, Lv X, (2019). Comprehensive assessment and source apportionment of heavy metals in Shanghai agricultural soils with different fertility levels. Ecological Indicators (106)
10. Hempattarasuwan N,Christakos G, Wu J. (2019).Changes of Wiang Nong Lom and Nong Luang Wetlands in Chiang Saen Valley (Chiang Rai Province, Thailand) During the Period 1988–2017.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
11. Wang L,Christakos G, Wu C, Wu J. (2019). Spatial variability assessment of La and Nd concentrations in coastal China soils following 1000 years of land reclamation.Journal of Soils and Sediments.
12. Yang Y*, Yang X, He M,Christakos G*, (2020) Beyond mere pollution source identification: Determination of land covers emitting soil heavy metals by combining PCA/APCS, GeoDetector and GIS analysis. CATENA. 185
13. Marchant, C,Leiva, V*,Christakos, G,Cavieres, MF. (2019) Monitoring urban environmental pollution by bivariate control charts: New methodology and case study in Santiago, Chile.Environmetrics. 30:e2551.
14.Lang, Y., &Christakos, G*. (2019). Ocean pollution assessment by integrating physical law and site‐specific data.Environmetrics,30(3), e2547.
2018
1.Christakos, G., Yang, Y., Wu, J., Zhang, C., Mei, Y., & He, J. (2018). Improved space-time mapping of PM2. 5 distribution using a domain transformation method. Ecological Indicators, 85, 1273-1279.
2. He, J.,Christakos, G., Wu, J., Cazelles, B., Qian, Q., Mu, D., ... & Zhang, W. (2018). Spatiotemporal variation of the association between climate dynamics and HFRS outbreaks in Eastern China during 2005-2016 and its geographic determinants. PLoS neglected tropical diseases, 12(6), e0006554.
3. He, J., &Christakos, G. (2018). Space-time PM 2.5 mapping in the severe haze region of Jing-Jin-Ji (China) using a synthetic approach. Environmental Pollution, 240, 319-329.
4. Jiang, Q., &Christakos, G. (2018). Space-time mapping of ground-level PM 2.5 and NO 2 concentrations in heavily polluted northern China during winter using the Bayesian maximum entropy technique with satellite data. Air Quality, Atmosphere & Health, 11(1), 23-33.
5. Jiang, Q., He, J., Ye, G., &Christakos, G. (2018). Heavy metal contamination assessment of surface sediments of the East Zhejiang coastal area during 2012–2015. Ecotoxicology and environmental safety, 163, 444-455.
6. Jiang, Q., He, J., Wu, J., Hu, X., Ye, G., &Christakos, G. (2018). Assessing the severe eutrophication status and spatial trend in the coastal waters of Zhejiang province (China). Limnology and Oceanography. In press
7. Wu, W., Norvell, W. A., Hopkins, D. G.,Christakos, G., Bohn, M. P., & Wu, J. (2018). Spatial Distribution of Cadmium and Zinc in Soils of Northern North Dakota. Agronomy Journal. 110(5): 1666-1680
8. Fei, X., Lou, Z.,Christakos, G., Ren, Z., Liu, Q., & Lv, X. (2018). The association between heavy metal soil pollution and stomach cancer: a case study in Hangzhou City, China. Environmental geochemistry and health, 1-10.
9. Fei, X., Lou, Z.,Christakos, G., Liu, Q., Ren, Y., & Wu, J. (2018). Contribution of industrial density and socioeconomic status to the spatial distribution of thyroid cancer risk in Hangzhou, China. Science of The Total Environment, 613, 679-686.
11. Yang, Y.,Christakos, G., Yang, X., & He, J. (2018). Spatiotemporal characterization and mapping of PM 2.5 concentrations in southern Jiangsu Province, China. Environmental Pollution, 234, 794-803.
12. Li, D.,Christakos, G., Ding, X., & Wu, J. (2018). Adequacy of TRMM satellite rainfall data in driving the SWAT modeling of Tiaoxi catchment (Taihu lake basin, China). Journal of Hydrology, 556, 1139-1152.
13. LANG, Y., XIAO, L., &Christakos, G. (2018). Forecasting concentrations of PM_ (2.5) in main urban area of Hangzhou and mapping using SARIMA model and ordinary Kringing method. Acta Scientiae Circumstantiae, 1, 007.(in Chinese)
14. Gu J, Luo M, Zhang X,Christakos G, Agusti S, Duarte C, Wu J. (2018).Losses of salt marsh in China: Trends, threats and management.Estuarine, Coastal and Shelf Science. 214, 98-109
2017
1.Christakos, G. (2017). Spatiotemporal random fields: theory and applications. Elsevier.
2.Christakos, G., Zhang, C., & He, J. (2017). A traveling epidemic model of space–time disease spread. Stochastic environmental research and risk assessment, 31(2), 305-314
3.Christakos, G., Angulo, A., Yu, H., Wu, J. (2017).Space-Time Metric Determination in Environmental Modeling. 30(1),
4. He, J.,Christakos, G., Zhang, W., & Wang, Y. (2017). A space-time study of hemorrhagic fever with renal syndrome (HFRS) and its climatic associations in Heilongjiang Province, China. Frontiers in Applied Mathematics and Statistics, 3, 16.
5. Yang, Y.,Christakos, G., Guo, M., Xiao, L., & Huang, W. (2017). Space-time quantitative source apportionment of soil heavy metal concentration increments. Environmental pollution, 223, 560-566.
6. Xiao, X., He, J., Huang, H., Miller, T. R.,Christakos, G., Reichwaldt, E. S., ... & Shi, J. (2017). A novel single-parameter approach for forecasting algal blooms. Water research, 108, 222-231
7.Xiao, L., Lang, Y., ...Christakos, G.(2017). Space-Time Estimations and Mapping of PM 2. 5 Fine Particulates Based on Multi-source Data. Environmental Science. 38(12): 4913-4923 (in Chinese)
8. Zhang, Z. H., Hu, M. G., Ren, J., Zhang, Z. Y.,Christakos, G., & Wang, J. F. (2017). Probabilistic assessment of high concentrations of particulate matter (PM10) in Beijing, China. Atmospheric Pollution Research, 8(6), 1143-1150.
9. Lou, Z., Fei, X.,Christakos, G., Yan, J., & Wu, J. (2017). Improving spatiotemporal breast cancer assessment and prediction in Hangzhou City, China. Scientific Reports, 7(1), 3188.
2016
1. Fei, X., Lou, Z.,Christakos, G., Liu, Q., Ren, Y., & Wu, J. (2016). A geographic analysis about the spatiotemporal pattern of breast cancer in Hangzhou from 2008 to 2012. PLoS One, 11(1), e0147866.
2. Xiao, R., Jiang, D.,Christakos, G., Fei, X., & Wu, J. (2016). Soil landscape pattern changes in response to rural anthropogenic activity across Tiaoxi watershed, China. PloS one, 11(11), e0166224.
3. Ruiz-Medina, M. D., Angulo, J. M.,Christakos, G., & Fernández-Pascual, R. (2016). New compactly supported spatiotemporal covariance functions from SPDEs. Statistical Methods & Applications, 25(1), 125-141.
4. Fei, X.,Christakos, G., Lou, Z., Ren, Y., Liu, Q., & Wu, J. (2016). Spatiotemporal co-existence of female thyroid and breast cancers in Hangzhou, China. Scientific reports, 6, 28524.
5. Yang, Y.,Christakos, G., Huang, W., Lin, C., Fu, P., & Mei, Y. (2016). Uncertainty assessment of PM 2.5 contamination mapping using spatiotemporal sequential indicator simulations and multi-temporal monitoring data. Scientific reports, 6, 24335.
2015
1. Yang, Y., &Christakos, G.(2015). Spatiotemporal characterization of ambient PM2. 5 concentrations in Shandong Province (China). Environmental science & technology, 49(22), 13431-13438.
2. Yang, Y., Wu, J., &Christakos, G. (2015). Prediction of soil heavy metal distribution using Spatiotemporal Kriging with trend model. Ecological indicators, 56, 125-133.
3. Yang, Y., &Christakos, G. (2015). Uncertainty assessment of heavy metal soil contamination mapping using spatiotemporal sequential indicator simulation with multi-temporal sampling points. Environmental monitoring and assessment, 187(9), 571.
4. Yang.,Y., Zhang., C., Zhang., R.,Christakos, G. (2015).Improving Environmental Prediction by Assimilating Auxiliary Information. Journal of Environmental Informatics. In press
5. Fei, X., Wu, J., Kong, Z., &Christakos, G.(2015). Urban-rural disparity of breast cancer and socioeconomic risk factors in China. PLoS One, 10(2), e0117572.
6. Shi, T., Yang, X.,Christakos, G., Wang, J., & Liu, L. (2015). Spatiotemporal interpolation of rainfall by combining BME theory and satellite rainfall estimates. Atmosphere, 6(9), 1307-1326.
2014
1.Christakos, G., Wang, J., & Wu, J. (2014). Stochastic medical reasoning and environmental health exposure. World Scientific.
2. Yu, H. L., Angulo, J. M., Cheng, M. H., Wu, J., &Christakos, G. (2014). An online spatiotemporal prediction model for dengue fever epidemic in K aohsiung (T aiwan). Biometrical Journal, 56(3), 428-440.
3. RUIZ MEDINA, M. D., Angulo, J. M.,Christakos, G., & FERNANDEZ PASCUAL, R. (2014). Fractional pseudodifferential modeling through spatiotemporal duality applied to Geosciences. GRASPA WORKING PAPERS
研發了適合於不同套用領域，不同功能的三個計算機系統軟體，在世界55個國家得到套用:
1． 時空認知學知識綜合分析軟體包和用戶圖形接口SEKS-GUI (Spatiotemporal Epistematics Knowledge Synthesis software library and Graphic User Interface) ;
2． 貝葉斯最大熵軟體包，BMElib (Bayesian Maximum Entropy software library);
3． 隨機過程分析軟體包，SANlib (Stochastic Analysis software library).
著作：
Christakos, G. 2017.Spatiotemporal random fields: theory and applications. Elsevier
Christakos G., Wang J.F. and Wu J., 2013. . Imperial College Press, London, UK. In Press.
Christakos G., 2012. Modern Spatiotemporal Geostatistics. New Edition, Dover Publ. Inc., Mineola, NY, In Press.
Christakos G., 2010. Integrative Problem-Solving in a Time of Decadence. Springer-Verlag, New York, N.Y.
Christakos G., Olea R.A., Serre M.L., Yu H-L and Wang L-L, 2005. Interdisciplinary Public Health Reasoning and Epidemic Modelling: The Case of Black Death. Springer-Verlag, New York, NY.
Christakos G., 2005. Random Field Models in Earth Sciences. New Edition, Dover Publ. Inc., Mineola, NY.
Christakos G., Bogaert P. and Serre M.L., 2002. Temporal GIS. Springer-Verlag, New York, NY.
Christakos G., 2000. Modern Spatiotemporal Geostatistics. Oxford Univ. Press, New York, NY (Out of Print.).
Christakos G. and Hristopulos D.T., 1998. Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus. Kluwer Academic Publ., Boston, MA.
Christakos G., 1992. Random Field Models in Earth Sciences. Academic Press, San Diego, CA (Out of Print.)
Christakos G., Clark I., David M., Journel A.G., Krige D.G. and Olea R.A. (ed.), 1991, Geostatistical Glossary and Multilingual Dictionary. Oxford Univ. Press, Oxford, UK (Out of Print).
