南开大学中加水与环境安全联合研发中心（中加中心）自成立以来，致力于推动水资源、环境安全与气候变化领域的国际科研合作。团队成员包括来自南开大学及全球合作伙伴的学者、博士后及研究生，涵盖生态水文、智慧水务、生态修复等多个研究方向。团队通过多项国家级、省部级科研项目，为全球城市应对气候变化和水环境问题提供创新解决方案。

        中加中心致力于培养具有国际视野的优秀科研人才，2024年共培养了4名博士生和6名硕士生，其中多名学生获得公能奖学金和国家奖学金。团队通过国际化的学术平台和广泛的合作网络，提供了丰富的学习和发展机会，帮助学生在全球环境科学领域取得杰出成就。 未来，团队将继续深化国际合作，推动水与环境安全领域的创新研究。中加中心将致力于成为中加科技合作的桥梁，支持全球应对气候变化的科研工作，同时培养具有国际视野的环境科学人才。

        欢迎有志于水资源、环境安全与气候变化领域的同学加入我们的团队！无论你是对生态水文、智慧水务、生态修复等领域充满热情，还是希望在国际合作中磨砺自己的科研能力，南开大学中加水与环境安全联合研发中心为你提供了广阔的发展平台。我们欢迎具有创新精神和团队协作能力的同学加入，一同参与前沿的科研项目，共同应对全球气候变化与水环境挑战。期待与你一起探索更多未知，开创更加美好的未来！

在中国，加拿大，美国，阿拉伯地区，南美洲完成生态水文及生态修复等多项科研及咨询项目

（一）国际项目（代表性项目）

1）  美国加利福尼亚州Sears Point Bay湿地修复重建研究

2）  加拿大新斯科舍省Halifax城市CSO（Combined Sewer Outflow）研究

3）  加拿大安大略省Barrie市Lover’s Creek 流域水文研究 

4）  加拿大大多伦多地区（TRCA）防洪预警系统开发研究

5）  加拿大安大略省Oakville城市北部开发中的低影响开发方式研究（BMP/LID Study for North Oakville Development, Town of Oakville, Ontario）

6）  加拿大安大略省Don River 水质监测及模拟研究

7）  南美厄瓜多尔首都基多国际机场暴雨管理系统研究及设计

8）  美国绿色建筑LEED认证项目（20多项） 

（二）国内项目

1）2021-2025：国家重点研发计划（2021YFC3200404）：不同情境下流域系统行洪输沙-生态环境-社会经济多维功能动态平衡关系（课题负责人）

2）  2021-2024：深圳市科技计划面上项目（JCYJ20210324120807021）：深圳快速城市化进程对城市区域土壤蒸发及植被蒸腾影响机理研究（项目负责人）

3）2023：广东省深圳生态环境监测中心站：深圳城市植被蒸腾对缓解热岛效应调解微气候和节能碳减排的量化评估方法研究（项目负责人）

4）2020-2021：山东省海河淮河小清河流域水利管理服务中心：小清河防洪综合治理工程科学研究试验项目（参与人）

5）2020：深圳市生态环境局：深圳清林径水库遥感水质反演（项目负责人）

6）  2016-2020：国家重点研发计划（2016YFC0400709）：西部地区农村供排水水质智能化监测评估技术研究与示范（课题负责人）

7）  2017-2020：水体污染控制与治理科技重大专项（2017 ZX 07106001）：天津中心城区海绵城市建设运行管理技术体系构建与示范（参与人）

8）  2018: 中国市政工程华北设计研究总院有限公司：呼和浩特市水系连通及湿地修复方案（项目负责人）

9）  2018：中国城市规划设计研究院：鹤壁市淇水春天小区海绵城市改造设计--软件模拟（项目负责人）

10）  2016-2017: 中加科技合作：智慧海绵城市决策预警系统研发（项目负责人）

11）  2016-2017：中国城市规划设计研究院：河南汝州市海绵城市建设专项规划-城市排水防涝体系模拟评估专题研究（项目负责人）

12）  2015-2016：中国城市规划设计研究院：鹤壁市海绵城市建设专项规划-城市排水防涝体系模拟评估专题研究（项目负责人）

13）  2015-2015：天津市科委：天津市暴雨内涝监测预警系统研究（项目负责人）

14）  2016-2017：国家自然科学基金委（41561124015）：气候变化对中国华北平原和加拿大魁北克地区水资源的影响（项目负责人）

15）  2012-2014：新加坡国立大学“湄公河流域防洪减灾与气候变化研究”（项目负责人）

16）  2013-2014：天津空港经济区，天津空港经济区西四道景观湖入河河水生态修复-人工湿地设计及研究 (5.7万平米潜流+表流人工湿地) （项目负责人）

17）  2012-2012 天津空港经济区，天津空港经济区环河北路河水生态修复-人工湿地设计及研究 (4万平米表流人工湿地) （项目负责人）

18）  2012-2013：水利部海河水利委员会：水资源保护规划内源及外源污染控制技术研究（项目负责人）

19）  2012-2014：水利部公益性项目（201201114）：黄河河口地区水资源利用与水生态修复技术（子课题负责人）

20）  2011-2011：水利部水资源费项目：漳河平原段生态治理与修复方案研究（项目负责人）

21）  2011-2011：国家气象局气象关键技术集成与应用项目（CMAGJ2011M05）：设计暴雨和城市雨涝风险预估技术研究与示范（项目负责人）

22）  2011-2011：天津空港经济区生态水系水质提升方案研究（项目负责人）

23）  2010-2012：教育部新世纪优秀人才（NCET-09-0586），气候变化与饮用水水源安全（项目负责人）。

24）  2007-2010：科技部国际合作项目（2007DFA70860）中加合作项目石羊河生态修复与示范（于2011 年获水利部大禹科学技术奖一等奖，证书号DYJ20110308-G08，项目参与人）

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[13] Chen, H., Li, H., Wei, Y. Z.,McBean, E., Liang, H., Wang, W. M., & Huang, J. J. (2024). Partitioningeddy covariance CO2 fluxes into ecosystem respiration and gross primaryproductivity through a new hybrid four sub-deep neural network. Agriculture Ecosystems& Environment, 361, 16, Article 108810. https://doi.org/10.1016/j.agee.2023.108810(IF = 6.0)

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[15] Feng, S. T., Zhang, B. C.,Wang, J. S., & Huang, J. J. (2024). Zero-valent iron in phosphate removal:Unraveling the role of particle size and dissolved oxygen. Journal of WaterProcess Engineering, 60, 10, Article 105180. https://doi.org/10.1016/j.jwpe.2024.105180(IF = 6.3)

[16] Chang, C., Chen, Y., &Huang, J. J. (2023). A comparison study on the role of urbanization in alteringthe short-duration and long-duration intense rainfall. Science of The TotalEnvironment, 857, 159290 (IF = 9.8)

[17] Chang, C. C., Chen, Y. H.,& Huang, J. J. (2023). Variability of Rainfall Areal Reduction Factors fora Coastal City: A Case Study of Shenzhen, China. Journal of HydrologicEngineering, 28(6), 12, Article 05023008. https://doi.org/10.1061/jhyeff.Heeng-5813(IF = 2.4)

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[21] Chen, H., Huang, J. J., Liang,H., Wang, W. M., Li, H., Wei, Y. Z., Jiang, A. Z., & Zhang, P. W. (2023).Integration of flux footprint and physical mechanism into convolutional neuralnetwork model for enhanced simulation of urban evapotranspiration. Journal ofHydrology, 619, 18, Article 129016. https://doi.org/10.1016/j.jhydrol.2022.129016(IF = 6.4)

[22] Chen, H., Razaqpur, A. G., Wei,Y. Z., Huang, J. J., Li, H., & McBean, E. (2023). Estimation of global landsurface evapotranspiration and its trend using a surface energy balanceconstrained deep learning model. Journal of Hydrology, 627, 18, Article 130224.https://doi.org/10.1016/j.jhydrol.2023.130224(IF = 6.4)

[23] Chen, H., Wei, Y. Z., &Huang, J. J. (2023). Altered landscape pattern dominates the declined urbanevapotranspiration trend. Journal of Hydrology, 627, 11, Article 130296. https://doi.org/10.1016/j.jhydrol.2023.130296(IF = 6.4)

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[43] Chen, H., Huang, J*.,Jiang,A.Z.,Han Li.,McBean, E., Singh, V. Jiawei Zhang., Lan, Z.Z.,Gao, J,J.(2022).An Enhanced Shuttleworth-Wallace Model for Simulation ofEvapotranspiration and its Components, Agricultural and ForestMeteorology,313,108769.https://doi.org/10.1016/j.agrformet.2021.108769.

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[47] Huang,J*.,Xiao,M.,Li,Y.,Ran,Y.,Qian,Z. (2022).The optimization of Low ImpactDevelopment placement considering life cycle cost using GeneticAlgorithm,Journal of EnvironmentalManagement,309,114700.https://doi.org/10.1016/j.jenvman.2022.114700.

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[49] Liang Fan, Jinhui Jeanne Huang*, Ching Y. Lo, Bin Zhou and Xujin Fu. (2022).UltrasensitivePhotoelectrochemical Microcystin-LR Immunosensor Using Carboxyl-FunctionalizedGraphene Oxide Enhanced Gold Nanoclusters for Signal Amplification, Analytica ChimicaActa,1185, https://doi.org/10.1016/j.aca.2021.339078.

[50] Xiao, N., Huang J.*,Catherine,N,M. (2022).The dynamics of soil microbial community structure andnitrogen metabolism influenced by agriculture practices and rainfall,AppliedSoil Ecology,172,104351.https://doi.org/10.1016/j.apsoil.2021.104351.

[51] Liang Fan, Jinhui Jeanne Huang*, Ching Y. Lo, Bin Zhou and Xujin Fu. (2022).Simplified validation of theELISA kit determination of Microcystins in surface water,Water Science &Technology,85(3):900-913.https://doi.org/10.2166/wst.2021.640.

[52] Vahid Nourani, Nardin JabbarianPaknezhad, Jinhui Jeanne Huang *. (2022).Application of PPIE method to assessthe uncertainty and accuracy of multi-climate model-based temperature andprecipitation downscaling,Theoretical and Applied Climatology,147(2).https://doi.org/10.1007/s00704-021-03884-7.

[53] Wang, J., Huang J.*,Catherine,N,M. (2022).Seasonal source identification and source-specifichealth risk assessment of pollutants in road dust,Environmental Science andPollution, Research,29(37). https://doi.org/10.1007/s11356-021-16326-8.

[54] Chen, H., Huang, J*., McBean,E.,Sandeep,S.D.,Han Li., Jiawei Zhang., Lan, Z.Z.,Gao, J,J. (2022).Evapotranspiration partitioning based on field-stable oxygen isotopeobservations for an urban locust forest land. Submit to Ecohydrology.

[55] Guo,H., Huang, J*., Zhu, X.,Wang, B., Tian,S.,Wang,X., Mai.Y. (2021). A generalized machine learningapproach for dissolved oxygen estimation at multiple spatiotemporal scalesusing remote sensing, Environmental Pollution,288,117734.https://doi.org/10.1016/j.envpol.2021.117734.

[56] Chen, H., Huang, J*., McBean,E., Singh, V. (2021). Evaluation of alternative two-source remote sensingmodels in partitioning of land evapotranspiration. Journal of Hydrology.https://doi.org/10.1016/j.jhydrol.2021.126029.

[57] Chenchao Chang, Yu Li, YihengChen, Jinhui Jeanne Huang* , Ya Zhang. (2021). Advanced statistical analyses ofurbanization impacts on heavy rainfall in the Beijing metropolitan area. UrbanClimate. https://doi.org/10.1016/j.uclim.2021.100987.

[58] Yang, C., Xiao, N., Chang, Z.,Huang,J.*, Zeng, W.(2021). Biodegradation of TOC by Nano-Fe2O3 modified SMFCand its potential environmental effects, ChemistrySelect.,6(22).https://doi.org/10.1002/slct. 202101125.

[59] Xiao, N., Wang,B.,Huang J.*(2021).Hydrodynamic optimization for design and operating parameters of aninnovative continuous-flow miniaturized MFC biosensor,Chemical EngineeringScience,235:116505.https://doi.org/10.1016/j.ces.2021.116505.

[60] Huang, J., Chen, S., Liao, Y.,Chen, Y., You X., Wang. R. (2021). Performance, fouling and Cleaning of a thinfilm composite hollow fiber membrane during fertiliser-drawn forward osmosisprocess for micro-polluted water, Environmental Science Water Research andTechnology.2021,7:1279-1291.https://doi.org/10.1016/j.jece.2021.106958.

[61] Wang, J., Huang J.*,Iseult, L.(2021).Seasonal and short-term variations of bacteria and pathogenic bacteriaon road deposited sediments,Environmental Research 204(8):111903.https://doi.org/10.1016/j.envres.2021.111903.

[62] Zeng, X., Huang, J.*, Hua, B.(2021). Efficient phosphorus removal by a novel halotolerant fungusAureobasidium sp. MSP8 and the application potential in saline industrialwastewater treatment. Bioresource Technology,334,125237.https://doi.org/10.1016/j.biortech.2021.125237.

[63] Xiao, N., Wang, B., Huang J.*(2020). Optimization of a continuous-flow miniaturized MFC biosensor byhydrodynamic computational modelling and experimental investigation, ChemicalEngineering Journal (SCI 1区，IF=8.355), submitted on March 21, 2020.

[64] Chen, H., Huang, J*., McBean,E. (2020).Development of a Trapezoidal Framework-Based Model (PCALEP) forPartition of Land Evapotranspiration, Journal of Hydrology, 124994, 0022-1694.https://doi.org/10.1016/j.jhydrol.2020.124994.

[65] Zhao, W., Huang, J.*, Hua, B.,Droste, R. (2020). Photosynthetic bioaugmentation strategy for releasingrecovering volatile fatty acid inhibition of the anaerobic digestion system,Bioresources Technology, 2020, 311:123501https://doi.org/10.1016/j.biortech.2020.123501.

[66] Chen, L., Huang, J.*, Hua, B.,Droste, R. Salman,M., Zhao, W.; (2020). Effect of steel slag on the anaerobicgranulation in recycling waste activated sludge to produce anaerobic granularsludge, Chemosphere,2020, 257, 127291.https://doi.org/10.1016/j.chemosphere.2020.127291.

[67] Huang, J*.,Chen, H., Li, T.,McBean, E., Singh V. (2020), A Modified Trapezoidal Framework Model forPartitioning Regional Evapotranspiration, Hydrological Processes,https://doi.org/10.22541/au.158602500.05780501.

[68] Guo, H.,Huang, J.*,Chen,B.,McBean, E. (2020).Machine learning based strategy to retrieve water qualityfor small scale urban waterbody by Sentinel-2, Remote Sensinghttps://doi.org/10.1080/01431161.2020.1846222.

[69] Xiao, N., Wu, R., Huang J.*andSelvaganapathy, P. (2020). Influence of wastewater microbial community on theperformance of miniaturized microbial fuel cell biosensor, BioresourceTechnology，https://doi.org/10.1016/j.biortech.2020.122777.

[70] Chen, H., Huang, J*., McBean,E. (2020).Quantitative Assessment of Agriculture Practices on FarmlandEvapotranspiration Using Eddy Covariance Method and Numeric Modelling, WaterResources Management, https://doi.org/10.1007/s11269-019-02448-9.

[71] Chen, H., Huang, J*., McBean,E. (2020). Partitioning of Daily Evapotranspiration using a ModifiedShuttleworth-Wallace Model and Artificial Intelligence Model for a CabbageFarmland, Agricultural Water Management , https://doi.org/10.1016/j.agwat.2019.105923.

[72] Zeng, X., Huang, J.*, Hua, B.,Champagne P. (2020). Nitrogen removal bacterial strains, MSNA-1 and MSD4, withwide ranges of salinity and pH resistances, Bioresources Technology,https://doi.org/10.1016/j.biortech.2020.123309.

[73] Kuang, D. Weichao Kong; YuxiangWen; Mengxian Zhao; Jinhui Huang*, Chen Yang (2020) Solution classificationwith portable smartphone-based spectrometer system under variant shootingconditions by using convolutional neural network, IEEE Sensors Journal, https://doi.org/10.1109/JSEN.2020.2983733.

[74] Wang, J., Huang, J.J.* and Li,J. (2020); Characterization of the Pollutant Build-up Processes andConcentration/Mass Load in Road Deposited Sediments over a Long Dry Period,Science of The Total Environment,https://doi.org/10.1016/j.scitotenv.2020.137282.

[75] Xiao, N., Wu, R., Huang J.*andSelvaganapathy, P. (2020). Anode surface modification regulates biofilmcommunity population and the performance of micro-MFC based biochemical oxygendemand sensor, Chemical Engineering Science , https://doi.org/10.1016/j.ces.2020.115691.

[76] Liao, Y., Zheng, G., Huang,J.*, Tian, M., Wang, R., (2020). Development of robust and superhydrophobicmembranes to mitigate membrane scaling and fouling in membrane distillation,Journal of Membrane Science, https://doi.org/10.1016/j.memsci.2020.117962.

[77] Li, Y.; Huang, J.*.; Hu, M.;Hong, Y.; Tanaka, K.; (2019) Design of low impact development in the urbancontext considering hydrological performance and life-cycle cost, Journal ofFlood Risk Management.

[78] Wang, J., Huang, J.*, Li,J.(2019). The Study of Road Sediment Build-up Processes in a Long Dry Period inSemi-Arid Area of China, Science of the Total Environment,696.https://doi.org/10.1016/j.scitotenv.2019.133788.

[79] Liu, B., Huang, J*., andMcBean, E. A. (2019). Risk Assessment of Hybrid Rain Harvesting System andOther Small Drinking Water Supply Systems by Game Theory and Fuzzy LogicModelling, Science of Total Environment, https://doi.org/10.1016/j.scitotenv.2019.134436.

[80] Xiao, N., Wu, R., Huang J.*andSelvaganapathy, P. (2019). Development of a xurographically fabricatedminiaturized low-cost, high-performance microbial fuel cell and its applicationfor sensing biological oxygen demand, Sensors & Actuators: B. Chemical ,https://doi.org/10.1016/j.snb.2019.127432.

[81] Ali, S., Hua, B., Huang, J.*,Droste., R, Zhou, Q., Zhao, W. (2019). Effect of different initial low pHconditions on biogas production, composition, and shift in the aceticlasticmethanogenic population, Bioresources Technology, https://doi.org/10.1016/j.biortech.2019.121579.

[82] Huang, J.*,Tian,Y., Wang, R.,Tian, M., Liao, Y (2019). Fabrication of bead-on-string polyacrylonitrilenanofibrous air filters with superior filtration efficiency and ultralowpressure drop, SEPARATION AND PURIFICATION TECHNOLOGY, https://doi.org/10.1016/j.seppur.2019.116377.

[83] McBean, E., Salsali, H.,Bhatti, M., and Huang, J. * (2019). Source Characterization of Disinfectants inMunicipal Wastewaters, Acta Chimica and Pharmceutica Indica.

[84] Huang, J. , Zhang, N., Choi,G., McBean, E. A., and Zhang, Q.(2018). Spatiotemporal Patterns and Trends ofPrecipitation and Their Correlations with Related Meteorological Factors by TwoSets of Reanalysis Data in China, Hydrol. Earth Syst. Sci. Discuss.,https://doi.org/10.5194/hess-2017-756.

[85] E.,McBean, Hamid Salsali, MunirBhatti and J Huang * (2018). Funeral Homes and Slaughterhouses: Contributionsof Emerging Contaminants to Municipal Wastewaters, Acta Chimica andPharmaceutica India, 2018,8(2).

[86] Wen, Y., Kuang, D., Huang J.and Zhang, Yi. (2017). Microaxicave Colour Analysis System for FluorideConcentration using a Smart Phone. RSC Advances, 2017,7,42339 (DOI:10.1039/c7Ra07727k).

[87] McBean, E., and Huang, J;(2017). Sustainability Risks of Coastal Cities from Climate Change, The GlobalEnvironmental Engineers, 2017, 4, 1-9.

[88] Huang, J*., Li, Y.; Yin, J.;McBean, E.; (2016). Precipitation Regional Extreme Mapping as a Tool forUngauged Areas and the Assessment of Climate Changes, Hydrological Processes,30, 1940–1954  (DOI: 10.1002/hyp.10743).

[89] Choulnard, A., Anderson, B.,Wotton, B. and Huang, J. (2015). Comparative study of cold-climate constructedwetland technology in Canada and Northern China for water resource protection,Environmental Reviews.

[90] Huang, J*., Lin, X.; Wang, H.;Wang, J.; (2015). The precipitation driven correlation based mapping method(PCM) for identifying the critical source areas of non-point source pollution,Journal of Hydrology, 524:100–110，doi:10.1016/j.jhydrol.2015.02.011.

[91] Zhang, Y., Huang, J*., Chen,L., Qi, L., (2015). Eutrophication Forecasting and Management by ArtificialNeural Network: a Case Study at Yuqiao Reservoir in North China, Journal ofHydroinformatics, 17（4），Pages 679–695，doi:10.2166/hydro.2015.115.

[92] Huang, J*., and Xiang, W.;(2015). Investigation of Point Source and Non-Point Source Pollution forPanjiakou Reservoir in North China by Modelling Approach, Water QualityResearch Journal of Canada, V50 (2), pp 167–181,doi: 10.2166/wqrjc.2014.019.

[93] Huang, J*., Du, M. ;McBean, E.;Wang, H.; Wang, J-H. (2014). A coupled Bayesian and fault tree methodology toassess future groundwater conditions in light of climate change, Hydrology andEarth System Sciences (Discussion) 11, 9361–9397, 2014 , doi:10.5194/hessd-11-9361-2014.

[94] Huang, J*., Gao, X.; Balch, G.;Wootton, B.; Jorgensen, S.; Anderson, B. (2014). Modelling of Vertical FlowConstructed Wetlands for Treatment of Domestic Sewage and Stormwater Runoff bySubWet 2.0, Ecological Engineering, 74, 8-12;http://dx.doi.org/10.1016/j.ecoleng.2014.10.027.

[95] Huang, J*., Li, Y.; Niu, S.;Zhou, S. (2014). Assessing the Performances of LID Alternatives by Long TermSimulation for Semi-Arid Area in Tianjin, Northern China, Water Science andTechnology. 2014;69(3):566-572. doi:10.2166/wst.2014.228.

[96] Zhang, C, McBean, E., andHuang, J. (2014). “A Virtual Water Assessment Methodology For Cropping PatternInvestigation”, Water Resources Management, June 2014, Volume 28, Issue 8, pp2331-2349 (SCI, IF2.463), DOI 10.1007/s11269-014-0618-y.

[97] Qi, L., Zhang, Y., Peng, J.,Qi, C., Huang, J. and Liu, D. (2014). Water requirement of vegetation andinfiltration method to determine ecological water requirement of dried up,Water Science and Technology 2014;69(3):566-572. doi: 10.2166/wst.2013.743.

[98] Huang, J* .(2014). TheDevelopment of a Design and Modelling Framework for Grey Water Reuse inTianjin, China, ASCE International Conference on Sustainable Infrastructure2014, Long Beach, USA, November 6-8, 2014. (Keynotes Speech).http://dx.doi.org/10.1061/9780784478745.050 EI.

[99] Li, T. and Huang, J*. (2014).Separation of Soil Evaporation And Vegetation Transpiration By MODIS Data ForCentral And Northern China. CUNY Academic Works.http://academicworks.cuny.edu/cc_conf_hic/172.

[100] Li, H., Huang, J*, Zhou, X.,Lin, C., Luo, Y. (2012).Isolation and Identification of Two PsychrotrophsStrains and Preliminary Research on Their Application. Meteorological andEnvironment Research.

[101] heng, H., Huang, J. and McBean,E. (2011).Reply to comment on “Using Bayesian Statistics to Estimate the Coefficients Of aTwo-Component Second-order Chlorine Bulk Decay Model for a Water DistributionSystem”. WaterResearch, 2011,45(6), 2355-2357.

[102] Huang, J., and McBean, E.(2009).Data Mining to Identify Contaminant Intrusion Events into Water DistributionSystems. ASCE Journal of Water Resources Planning and Management, 2009,135(6),466-474.

[103] Lee, M., McBean, E., Schuster,C., and Huang, J., (2009). A Fault Tree and Fuzzy Logic Methodology for RiskAssessment of Drinking Water Supply Failures, ASCE Journal of Water ResourcesPlanning and Management, 135(6), 547-552.

[104] Huang, J. and McBean, E. A.(2008). Using Bayesian Statistics to Estimate the Chlorine Wall DecayCoefficients for a Water Supply System, ASCE Journal of Water ResourcesPlanning and Management, 134(2), 129-137.

[105] Huang, J., McBean, E. A. andShen, H.(2008).  Data Mining as a Tool toIdentify Contaminant Sources in Water Distribution Systems, 10th InternationalWater Distribution System Analysis conference, Kruger National Park, SouthAfrica. August 17-20, 2008, www.uj.ac.za/wdsa2008 EI,  http://dx.doi.org/10.1061/41024(340)97 EI

[106] Huang, J. and McBean, E. A.(2007). Using Bayesian Statistics to Estimate the Coefficients of a Two-Component Second-Order Chlorine Decay Model for a Water Distribution System,Water Research, 41(2), 287-294.

[107] Ostfeld et al; (2008). TheBattle of Water Sensor Networks (BWSN): A Design Challenge for Engineers andAlgorithms, ASCE Journal of Water Resources Planning and Management, 134(6),556-558.

[108] Huang, J. and McBean E A.;(2007). Chapter 19, Water Quality Modeling using Fault Tree Method.Contemporary Modeling of Urban Water Systems, Monograph15. Published by CHI,Guelph, ISBN: 139780973671636.

[109] Huang, J. and McBean, E. A.(2006). Chapter 11, Comparison of Analytical and Simulation Approaches forAssessing Robustness of Reliability for Water Distribution Systems. IntelligentModeling of Urban Water Systems, Monograph 14, Published by CHI, Guelph, ISBN:0973671629.

[110] Huang, J. and McBean, E. A.(2006). Use of Bayesian Statistics to Study Chlorine Decay for a WaterDistribution System, Water Distribution System Analysis 2006, Cincinnati, OhioUSA. August 27-29, 2006, www.eng.uc.edu/wdsa2006/ EI. http://dx.doi.org/10.1061/40941(247)148EI.

[111] Huang, J., McBean, E. A., andJames, W. (2006). Multi-objective Optimization Approach for Monitoring SensorPlacement in Water Distribution Systems, Water Distribution System Analysis2006, Cincinnati, Ohio USA. August 27-29, 2006, www.eng.uc.edu/wdsa2006/ EI,http://dx.doi.org/10.1061/40941(247)113.

[112] Huang, J., McBean, E., andJames, W. (2005). Chapter 7, A Review of Reliability Analysis for Water Qualityin Water Distribution Systems, Urban Water Systems, James, et al. (editors),Monograph 13, Published by CHI, Guelph, ISBN: 0973671602.

[113] Huang, J.; James, W. and James,W. R. C. (2005). Chapter 3, A Lifecycle Cost Based Design Optimization Modelfor Stormwater Management System. Effective Modelling of Urban Water Systems,Monograph 13, Published by CHI, Guelph, ISBN: 0973671602.

1.       加拿大土木工程学会（CSCE）会士（Fellow），国际事务委员会委员，主席

2.       世界工程组织联合会（WFEO）水专委会委员

3.       中国水利学会流域发展战略委员会委员

4.       中国城镇供水排水协会，海绵城市建设专业委员会委员

5.       中国地质学会水文地质专业委员委员

6.       “水资源保护”期刊（EI）编委

7.       Journal of Water Management Modelling  编委

8.       Journal of Groundwater Science and Engineering 编委

9.       天津市时空信息工程技术实验室  学术委员会委员

10.   SRC城市街景设计研究中心公园城市专业委员会副主任

11.   加拿大注册工程师协会会员

12.   加拿大水技术交流中心副理事长

1986-1990 天津大学，水资源与港湾工程系，获工学学士学位

1988-1990 天津大学，技术经济系，获工学学士第二学位

2002-2006 加拿大圭尔夫大学，物理工程学院，获博士学位