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南方科技大学环境科学与工程学院导师教师师资介绍简介-张幼宽

本站小编 Free考研考试/2021-06-12

张幼宽 zhangyk at sustech.edu.cn

简历
科研
教学
发表论著
美国亚利桑那大学水文学博士,南方科技大学讲席教授。曾任美国爱荷华大学地球与环境科学系终身教授、南京大学思源教授、南京大学水科学研究中心主任、南京大学环境学院副院长。已主持30余项美国和中国政府资助的科研项目,包括担任国家重大水专项十一五“淮河流域水污染治理技术研究与集成示范”首席科学家和河流主题专家组成员。发表了论文100多篇,内容涉及非均质介质中地下水污染物弥散理论、河流径流和基流以及地下水水位变化的尺度效应、土地利用和地表覆盖对流域水循环的影响、土壤与地下水污染修复、基岩裂隙水分布及富集规律与合理开发利用等。现任或曾任国际水资源与水环境专业刊物(Ground Water,Stochastic Environmental Research & Risk Assessment,Vadose Zone Journal)副主编、美国地球物理协会地下水专业委员会委员、美国地质学会会士,应邀到世界各地数十所大学和科研机构讲演并进行学术交流和国际会议作学术报告。
目前任职:南方科技大学环境科学与工程学院,讲席教授
教育背景:1984-1989:博士 (水文学),美国亚利桑那大学水文学与水资源系
1978-1982:硕士(水文地质与工程地质)南京大学地质系(现地球科学与工程学院)
1975-1978:毕业 (水文地质与工程地质),长春地质学院(现吉林大学)水文地质与工程地质系
工作经历:2016-至今:南方科技大学环境科学与工程学院 讲席教授
2007-2015:南京大学水科学研究中心教授、主任
2008-2013:南京大学环境学院 副院长
1993-2012:美国爱荷华大学地球与环境科学系助理教授、副教授、教授
美国爱荷华大学水科学与工程研究所 助理研究员、副研究员、研究员
1990-1992:美国内布拉斯加大学Conservation & Survey Division 研究助理教授
学术经历:2002:意大利博洛尼亚大学土木与环境科学与工程系 访问副教授
1998:意大利博洛尼亚大学土木与环境科学与工程系 访问副教授
1997:美国加州伯克利大学土木与环境科学与工程系 访问副教授
获奖情况及荣誉:2012:中国精品科技期刊顶尖学术论文奖
2011:中国精品科技期刊顶尖学术论文奖
2012:“十一五”国家环境保护科技工作先进集体
2005:美国地质学会(GSA)会士
1987:美国亚利桑那大学优秀博士生约翰哈希伯格奖
学术兼职(部分):2006-至今:国际学术刊物《Ground Water》副主编
2004-至今:国际学术刊物《Stochastic Environmental Research and Risk Assessment》副主编
2004-2010:美国地球物理协会地下水专业委员会委员
2004-2009:国际学术刊物《Vadose Zone Journal》副主编
2006-2013:国家重大水专项《水体污染控制与治理》淮河项目组组长
2002-2003:国际中国地球科学促进会(IPACES)2002-03年度主席
研究领域:
1) 人类活动对流域水循环的影响
2) 地表水和地下水过程的时间尺度效应
3) 基岩裂隙地下水形成与分布规律及探寻方法
4) 地下水面源污染机制与防治
5) 土壤与地下水污染修复
简要介绍:1) 人类活动对流域水循环的影响
地表水和地下水过程,如河流的径流和基流是流域水循环的重要组成部分。这些过程受天然和人为因素(如降雨的持续时间及强度、地形、土地利用和植被种类和覆盖度、土壤的湿度和下渗能力、含水介质的渗透性和空隙度等)影响,随时间和空间不断变化,影响并控制着流域水资源可利用量和水质安全以及流域的生态与环境。 我们对在人类活动影响下密西西比河流域的地表水和地下水过程,特别是河流流量及其硝酸盐含量的变化进行了深入的研究,发现自1940年以来,该河的流量逐渐增加,而增加的流量主要来自地下水向河流的排泄(即基流),原因是在过去的60年中,该流域大面积的长年生长植被改种为季节性农作物,尤其是大豆。这一变化减少了流域蒸散发,增加了地下水补给。而地下水补给的增加则直接导致基流的增加。我们还基于密西西比河上游农业区罕见的28年长期观测资料,分析了河流径流和基流中硝酸盐浓度的全年和季节性变化规律,估算出河流硝酸盐的年平均输出量为每公顷26.1公斤,而其中近三分之二(即17.3公斤)来自基流。目前我国对这些过程的时空变化规律认识还很不足。为了更好地管理各大流域水环境,更有效制定流域水资源管理规划,有必要深入研究这些过程的时空变化。这对水资源管理与水环境保护具有重要的现实意义。
2) 地表水和地下水过程的时间尺度效应
水文过程的时间尺度效应(temporal scaling)是现代水文学研究前沿的一个重要课题。这项研究的重大意义在于:若地表水或地下水过程具有时间尺度效应,则依据该过程的短期观测数据的统计量可获得其长期变化的统计量。发现和证明水文过程的时间尺度效应对于水文预报至关重要。自1951年Hurst发现径流的长期相关性以来,水文变量的尺度效应便受到水文学界的高度重视并取得了重大进展。然而,在过去40 年中,水文地质学家则主要关注与污染物运移相关的含水层介质及水文地质参数的空间变异,未重视或忽略了其随时间的变化。应该说,地下水过程的时间变化至少和空间变化同等重要,但迄今为止,关于地下水变量时间变异性的研究还很少。我们认识到地下水补给和排泄、地下水水位变化等过程的随机性,但不清楚这些过程究竟是何种随机过程,其统计性质如何变化,怎样用短期观测资料进行长期预测。地表水和地下水过程随时间和空间变化受多种因素影响,如降水持续时间和强度、地形、植被种类和覆盖度、蒸散作用、土壤含水量以及渗透系数等。这些因素很难估计或测量,因而很难正确估算地表水和地下水变量。目前,我们对地下水补给与排泄的时间和空间变异的定量能力还很差,这一方面的研究亟待加强。
3)基岩裂隙地下水形成与分布规律及探寻
近年来,我国部分地区连续遭受严重干旱,开采地下水已成为这些地区抗旱减灾的重要措施。基岩地区地下水主要储存于基岩的裂隙和断裂中。由于裂隙和断裂发育和分布极不均一,富水性差异甚大,故在该地区寻找地下水的难度很大,急需理论指导和有效探测方法。裂隙水的形成和分布也是一项地下水研究的国际前沿课题。针对这一重大需求和科学问题,选择我国西南地区,依据板块构造和新活构造控水理论,利用GPS连续观测、地应力和跨断层形变等测量技术,通过收集和分析已有GPS、遥感遥测和水井等资料,野外调查、测量和试验以及数值模拟等多学科交叉研究,从区域和局部两个尺度研究我国西南地区地壳运动和应力场与新活裂隙和断裂发育和分布之关系,搞清我国西南区域裂隙水的形成和分布规律和新活裂隙和断裂的局部富水和导水特征及主控因素,建立探测基岩裂隙水的新理论和新方法,完善并发展我国具有原创性的基岩裂隙水形成和分布的理论。
4)地下水面源污染机制与防治
农业面源污染物(即化肥、农药和畜禽粪便等)不仅随降雨、融雪或灌溉所产生的地表径流直接进入河流、湖泊或近海,污染地表水体,而且渗入土壤或岩石,污染地下水。而被污染的地下水最终亦将渗入河流、湖泊或近海,污染地表水体,成为地表水体污染的另一主要来源。迄今为止,我国对地下水污染的调查和研究往往局限于以保护作为饮用水源的地下水的安全为目的。人们普遍认识到:河流、湖泊等地表水体受到污染后会导致附近地下水的污染,但未考虑或未重视被污染的地下水对地表水体的污染。我国的面源污染整治一般仅考虑地表径流及其携带的污染物,忽略或未重视地下径流及其所携带的污染物对地表水体污染的贡献。事实上,地下水携带的污染物可能是我国主要河流和湖泊中污染物的主要来源之一。为了有效地治理我国的流域水环境,必须统筹考虑两者的相互作用,通过地表水-地下水的耦合模拟,研究面源污染物在流域内不同含水系统中的迁移和转化过程及规律,定量评价流域水污染的不同来源,据此制定有效地流域水污染防治方案和计划。
5)土壤与地下水污染修复
近年来,伴随我国经济社会的快速发展,土壤与地下水污染日趋严重,严重影响人居环境、饮水安全和社会安定,成为制约我国经济社会可持续发展的瓶颈之一。虽然通过国家多个科技项目,研发了一批土壤与地下水污染修复技术,但由于土壤与地下水介质复杂,修复难度大,费用高,时间长, 目前我国仍缺乏经济高效的土壤与地下水污染修复技术,难以满足日益增长的土壤与地下水污染防治与修复的现实需求。因此,急需全面、系统、科学地研究土壤与地下水的污染过程与机理,研发经济高效的土壤与地下水污染调查及评价、典型行业场地污染修复技术与装备,固体废物处置场地和矿区土壤与地下水污染综合控制与修复技术,场地土壤与地下水污染风险监管与再开发安全保障技术,农田土壤污染综合控制与治理技术,重金属污染土壤固化/稳定化技术与药剂研究等,提升我国场地污染防控与修复的综合能力,为改善土壤与地下水环境质量、保障人居环境安全提供科技支撑。
讲授的本科生及研究生课程:
(1) Groundwater Hydrology
(2) Environmental Spatial Statistics
(3) Stochastic Subsurface Hydrology
(4) Environmental Seminar
(*为通讯作者)
论文与专著:1. Zhao, Y., X. Liang, and Y.-K. Zhang*, An analytical solution to groundwater flow towards a well in a tilted aquifer, J. Hydrol., accepted.
2. Liang, X., Y.-K. Zhang*, and K. Schilling, Co-Kriging Estimation of Nitrate-Nitrogen Loads in an Iowa River", Water Resources Management, 30(5), 1771-1784, 2016.
3. Liang, X.Y., Y.-K. Zhang*, Analyses of uncertainties and scaling of groundwater level fluctuations. Hydrology and Earth System Sciences, 01/2015; 12(1):1-23. DOI: 10.5194/hessd-12-1-2015, 2015.
4. Liang, X.Y., Y.-K. Zhang*, Schilling, K.E., Analytical solutions for two-dimensional groundwater flow with subsurface drainage tiles. Journal of Hydrology, 521(0): 556-564, 2015.
5. Liang, X.Y., Y.-K. Zhang*, Keith. Schilling, Effect of heterogeneity on spatiotemporal variations of groundwater level in a bounded unconfined aquifer. Stoch Environ Res Risk Assess, DOI: 10.1007/s00477-014-0990-4, 2015.
6. Yang, C., Y.-K. Zhang, X.Y. Liang, Effects of temporally correlated infiltration on water flow in an unsaturated-saturated system. Stoch Environ Res Risk Assess, DOI: 10.1007/s00477-015-1119-0, 2015.
7. Yang, C., Y.-K. Zhang, X.Y. Liang, Temporospatial variations of water flow in an unsaturated-saturated system under infiltrations of fractional Gaussian noise and fractional Brownian motion, Journal of Nanjing University (Nature Sciences), 51(6), DOI:10.13232/j.cnki.jnju.2015.06.025, 2015.
8. Yang, C., Y.-K. Zhang, X.Y. Liang, Effect of heterogeneity on temporospatial variations of water flow in an unsaturated-saturated system, Geological Journal of China Universities, 21(3), pp. 559-568, DOI: 10.16108/j.issn1006-7493.**, 2015.
9. Chen, L. and Y.-K. Zhang*, Cause Analysis for the Decline of the Xin’an Spring Discharge, Water Resources Protection, 2015.
10. Zheng, Y., Y.-K. Zhang, and X. Liang, A study of groundwater flow and water quality characteristics in the riparian zone of Jialu river near Zhongmu, Geological Journal of China Universities, 21(2), pp.234-242, DOI: 10.16108/j.issn1006-7493.**, 2015.
11. Jin, X.M., Y.-K. Zhang*, Y. Tang, G.C.Hu, and R. H. Guo, Quantifying the bare soil evaporation and its relationship with groundwater depth, International Journal of Remote Sensing., DOI 10.1080/**.2014.975374. V(35), Issue 21, 2014
12. Zhang D.-C and Y.-K. Zhang*, Impacts of Urbanization and Dams on River Runoff in the Shaying River Basin, South-to-North Water Transfers and Water Science & Technology, v.12; No.73(04) 6-10+15, DOI:10.13476/j.cnki.nsbdqk.2014.04.002, Aug. 2014.
13. Liang, X., Y-K.Zhang*, Analytic Solutions for Transient groundwater flow with a variable source in a heterogeneous aquifer bounded by fluctuating river stages, Ad. Water Res., 58:1-9, DOI: 10.1016/j.advwatres.2013.03.010, 2013.
14. Liang, X. and Y.-K. Zhang*, Temporal and spatial variation and scaling of groundwater levels in a bounded unconfined aquifer. J. Hydrol, 479:139-145,doi.org/10.1016/j.jhydrol.2012.11.044, FEB 2013.
15. Chen, L., Y.-K. Zhang*, X Liang, W. Yuan, and T. Pan, Application of a Soil-Aquifer Lateral Seepage System to Purify Polluted River Water: A Demonstration Project at the Sioux River near Zhengzhou, 40(4), Hydrogeology and Engineering Geology, No. 4., 2013. (in Chinese with English abstract)
16. Pan, T. and Y.-K. Zhang*, A Study of Shallow Groundwater Nitrogen Pollution and its Affecting Factors in Changing County of Taizhou Basin, Hydrogeology and Engineering Geology, p.7-13, No. 4., 2013.
17. Liang, X. and Y.-K. Zhang*, a New Analytical Method for Groundwater Recharge and Discharge Estimation, J. Hydro, 450:17-24, doi.org/10.1016/j.jhydrol.2012.05.036, July 11, 2012.
18. Jin, X. M., Z. Viceroy, Y.-K. Zhang, and J. T. Liu, Soil Salt Content and Its Relationship with Crops and Groundwater Depth in the Yinchuan Plain (China) Using Remote Sensing, ARID LAND RESEARCH AND MANAGEMENT, p. 227-335, 26(3): 227-235, DOI: 10.1080/**.2012.681339 , JUL-SEP 2012.
19. Liang, X. and Y.-K. Zhang*, Analytical Solution for Drainage and Recession from an Unconfined Aquifer, Groundwater, 50(5):793-798, DOI: 10.1111/j.1745-6584.2011.00867.x, SEP-OCT 2012.
20. Schilling, K. and Y.-K. Zhang, Temporal scaling of groundwater level fluctuations near a stream, Groundwater, 50(1):59-67, DOI: 10.1111/j.1745-6584.2011.00804.x, JAN-FEB 2012.
21. Chen, L., Y.-K. Zhang*, and C. Wang, A Study of Xin An Spring System Evolution with Time Series Analysis, Hydrogeology and Engineering Geology, p. 19-23, 39(1), 2012.
22. Xie, X., Y. Wu, M. Zhu, Y.-K. Zhang, and X. Wang,Hydroxyl radical generation and oxidative stress in earthworms (Eugenia fetid) exposed to decabromodiphenyl ether (BDE-209), ECOTOXICOLOGY, 20(5):993-999, DOI 10.1007/s10646-011-0645-x, 2011.
23. Ni, T., X. Hua, Y.-K. Zhang, W. Diao and J. Xu, Cruxes of countermeasures for the water pollution system in Huai River basin, China, 20(1):140-148, Fresenius Environmental Bulletin, 2011.
24. Zhang, Y.-K. and X. Yang, Effects of variations of river stage and hydraulic conductivity on temporal scaling of groundwater levels: numerical simulations, Stochastic Environmental Research and Risk Assessment, 24(7):1043-1052, DOI: 10.1007/s00477-010-0437-5, OCT 2010.
25. Schilling, K.E., K.-S. Chan, H. Liu, and Y.-K. Zhang, Quantifying the Effect of Land Cover Land Use Change on Increasing Discharge in the Upper Mississippi River, J. Hydrol., 387(3-4):343-345, DOI:10.1016/j.jhydrol.2010.04.019, JUN 15, 2010.
26. Xie, X.-C., X.-R. Wang, Y.-K. Zhang, J.-Z. Zheng, Y.-X. Wu, and Y.-G. Xue, Interaction of Decabromodiphenyl Ether with Bovine Serum Albumin by Fluorescence Spectroscopy, Chinese Journal of Anal. Che. 38(10), DOI:10.3724/SP.J.1096.2010.01479, 2010 (in Chinese with English abstract).
27. Xie, X., X. Wang, Y.-K. Zhang, Y. Wu, and Y. Xue, Interaction of perfluorooctanoic acid (PFOA) with bovine serum albumin (BSA) by fluorescence spectroscopy, China Environmental Sciences, Vol. 30, No. 11, 2010 (in Chinese).
28. Jin, XM and Y.-K. Zhang, Assessment of impact of land cover change on Mississippi River basin hydrology with satellite data, GEOCHIMICA ET COSMOCHIMICA ACTA, 73(13):A597- A597, JUN 2009.
29. Schilling, K.E., Y.-K. Zhang, D. Hill, C.S. Jones, and C. F. Wolter, Temporal Variations in Escherichia coli Export from a Large Agricultural Watershed, J. Hydrol, 365(1-2), 79-85, 2009.
30. Jin, X., L. Wan , Y.-K. Zhang, and G. Hu, Quantification of Spatial Distribution of Vegetation in the Qilian Mountain Area with MODIS NDVI. International Journal of Remote Sensing, 30(21):5751-5766. DOI: 10.1080/0**36635, 2009.
31. Xue, Y. and Y.-K. Zhang, Twofold Significance of Ground Water Pollution Prevention in China’s Water Pollution Control, J. Env. Science, 29(3). 474-481, 2009 (in Chines with English abstract e).
32. Schilling, K. E., M. K. Jha, Y.-K. Zhang, P. W Gassman, and C. F. Wolter, Impact of land use and land cover change on the water balance of a large agricultural watershed: Historical effects and future directions, Water Resour. Res., 44, W00A09, doi:10.1029/2007WR006644, NOV 19, 2008
33. Li, Z. and Y.-K. Zhang*, Multiscale Entropy Analyses of Mississippi River Flow, Stochastic Environmental Research & Risk Analysis, 22(4):507-512, doi:10.1007/s00477-007-016ly, JUN 2008.
34. Lachhab, A., Y.-K. Zhang*, and M. V.I. Muste, Particle Tracking Experiments in Match-Index-Refraction Porous Media, Ground Water, 46(6):865-872. DOI: 10.1111/j.1745-6584.2008.00479.x , 2008.
35. Jin, X.M., L. Wan, Y.-K. Zhang and M. Schaepman, Impact of Economic Growth on Vegetation Cover in China Based on GIMMS NDVI, International Journal of Remote Sensing, 29(13):3715-3726, DOI: 10.1080/0**72542, 2008.
36. Jin, X.M., Y.-K. Zhang, M.E. Schaepman, J.G.P.W. Clevers , Z. Su, Impact of Elevation and Aspect on the Spatial Distribution of Vegetation in the Qilian Mountain Area with Remote Sensing Data, 21st International Society for Photogrammetry and Remote Sensing. Vol. XXXVII. Part B7, pp.1385-1390, July 3-11, Beijing, 2008.
37. Schilling, K. E., M. D. Tomer, Y.-K. Zhang, T. Weisbrod, P. Jacobson, and C. A. Cambardella, Hydrogeologic controls on nitrate transport in a small agricultural catchment, Iowa, J. Geophys. Res., 112, G03007, doi:10.1029/2007JG000405,2007.
38. Li, Z. and Y.-K. Zhang*, Quantifying fractal dynamics of groundwater systems with detrended fluctuation analysis, J. Hydrol., 336(1-2):139-146, doi:10.1016/j.jhydrol.2006.12.017 , MAR 2007.
39. Jin, X., L. Wan, Y.-K. Zhang, Z. Zue, and Y. Yin, A Study of the Relationship between Vegetation Growth and Groundwater in the Yinchuan Plain, China, Frontier in Earth Sciences, 14(3):197-203, 2007. (in Chinese with English abstract)
40. Zhang, Y.-K. and Z. Li, Effect of temporally correlated recharge on fractal fluctuations of groundwater levels, Water Resour. Res., 42(10), W10412, doi:10.1029/2005WR004828, OCT 11, 2006.
41. Li, Z. Y.-K. Zhang*, K. Schilling, and M. Skopec, Cokriging Estimation of Daily Suspended Sediment Loads, J. Hydrol., 327(3-4):389-398, doi:10.1016/j.jhydrol.2005.11.028, AUG 20, 2006.
42. Zhang, Y.-K., Stochastic methods for flow in porous media, a book review, Vadose Zone Journal, doi:10.2136/vzj2005.0133br, Vadose Zone J, 2006 5: 908, 2006.
43. Schilling, K., Z. Li , and Y.-K. Zhang, Groundwater-surface water interaction in the riparian zone of an incised channel, Walnut Creek, Iowa, J. Hydrol., 327(1-2):140-150, doi:10.1016/j.jhydrol.2005.11.014, JUL 30, 2006.
44. Zhang, Y.-K. and K. Schilling, Increasing Streamflow and Baseflow In Mississippi River since 1940’s: Effect of Land Use Change, J. Hydrol., 324(1-4):412-422, doi:10.1016/j.jhydrol.2005.09.033, JUN15, 2006.
45. Zhang, Y.-K. and K. Schilling, Effects of land cover on water table, soil moisture, evapotranspiration, and groundwater recharge: a field observation and analysis, J. Hydrol., 319(1-4):328-338, doi:10.1016/j.jhydrol.2005.06.044, MAR 15, 2006.
46. Zhang, Y.-K. Book Review : “Stochastic Methods for Flow in Porous Media: Coping with Uncertainties, Published online 26 July 2006; doi:10.2136/vzj2005.0133br Vadose Zone J, 2006 5: 908, 2006.
47. Zhang, Y.-K. and Z. Li, Temporal scaling of hydraulic head fluctuations: Nonstationary spectral analyses and numerical simulations, Water Resour. Res., 41(7), W07031, doi:10.1029/2004WR003797, JUL 29, 2005.
48. Zhang, Y.-K. and K. Schilling, Temporal Variations and Scaling of Streamflow and Baseflow and their Nitrate-Nitrogen Concentrations and Loads, Adv. in Water Resour., 28(7):701-710, doi:10:1016/j.advwatres.2004.12.014, JUL 2005.
49. Zhang, Y.-K. and K. Schilling, Temporal scaling of hydraulic head and river baseflow and its implication for groundwater recharge, Water Resour. Res., 40, W03504, doi:10.1029/2003WR002094, 2004.
50. Zhang, Y.-K. and B. Seo, Stochastic analysis and Monte Carlo simulations of non-ergodic solute transport in three-dimensional heterogeneous and statistically anisotropic aquifers, Water Resour. Res., 40, W05103, doi:10.1029/2003WR002871, 2004.
51. Zhang, Y.-K. and B. Seo, Numerical simulations of non-ergodic solute transport in three-dimensional heterogeneous porous media, Stochastic Environmental Research and Risk Assessment, 18(3), 205-215, doi:10.1007/s00477-004—178-4, 2004.
52. Zhang, Y.-K. and D. Zhang, Applications of Stochastic Methods in Subsurface Hydrology, An Introduction to a Forum in Stochastic Environmental Research and Risk Assessment, Stoch Envir Res and Risk Ass, 18: 265, DOI 10.1007/s00477-004-0190-8, 2004.
53. Schilling, K.E., and Y.-K. Zhang*, Baseflow contribution to Nitrate-Nitrogen Export from a large, Agricultural Watershed, USA, J. Hydrol., 295, 305-316, doi:10:1016/j.jhydrol.2004.03.010, 2004.
54. Zhang, Y.-K. and K. Schilling, Impact of Vegetation on Main Hydrological Processes: A Field Study and Its Implication for Water Quality, Advance in Earth Sciences, 19(3), 422-428, Article ID: 1001-8166(2004)03-0422-07, 2004.
55. Schilling, K., Y.-K. Zhang, and P. Drobney, Water table fluctuations near an incised stream, Walnut Creek, Iowa, J. Hydrol., 286, p. 236-248, 2004.
56. Zhang, Y.-K., Non-ergodic solute transport in physically and chemically heterogeneous porous media, Water Resour. Res., 39(7), 1197, doi:10.1029/2003WR002116, 2003.
57. Zhang, Y.-K and R.C. Heathcote., An improved method for estimation of biodegradation rate with field data, Groundwater Monitoring and Remediation, 23(3), p.112-117, 2003.
58. Zhang, Y.-K. and V. D. Federico, Letter to the editor: Comments on the paper ‘Comparison of observations from a laboratory model with stochastic theory: initial analysis of hydraulic and tracer experiments’, by S.E. Silliman and L. Zheng, Transport in Porous Media, 52: 111-115, 2003.
59. Zhang, Y.-K. The book review on “Applied Stochastic Hydrogeology” by Yoram Rubin, EOS, Vol. 84, No. 43, 2003.
60. Zhang, Y.-K. Review of the book: “Applied Stochastic Hydrogeology” by Yoram Rubin, EOS, Vol. 84, No. 43, 2003.
61. Wang, L. and Y.-K. Zhang*, An unconditionally-stable explicit scheme for groundwater flow equations, Computational Methods in Water Resources, XIV, p. 145-152, 2002.
62. Wallace, A. and Y.-K. Zhang, Calibration of a Groundwater Flow Model for Spatially- and Temporally-varied Recharge to a Fractured-Karst Aquifer, Acta Universitatis Carolinae-Geologica, 46: 286-289, 2002.
63. Zhang, Y.-K. and R.C. Heathcote, Modeling the Fate and Transport of a Contaminant Plume in Sioux City, 8th International Petroleum Engineering Conference, 2001.
64. Zhang, Y.-K. and B. Seo, Monte Carlo Simulations of Contaminant Plumes in Three-Dimensional Heterogeneous Porous Media, MODFLOW 2001 AND OTHER MODELING ODYSSEYS, Proceeding of An International Ground Water Modeling Conference and Workshops, 2001.
65. Shinall, L.A., Y.-K. Zhang, and M.J. Gannon, Effect of Heterogeneity on Nitrate Concentration in a Shallow Aquifer in Sioux County, Iowa, MODFLOW 2001 AND OTHER MODELING ODYSSEYS, Proceeding of An International Ground Water Modeling Conference and Workshops, 2001.
66. Zhang, Y.-K. and R. Heathcote, Guidelines for numerical modelling in tier 3 assessments and other corrective actions, Technical Report submitted to Iowa Comprehensive Petroleum Undergrround Storage Tank Fund Board, p.79, 2001.
67. Zhang, Y.-K., B. Seo, N. Lovanh2, and P. J.J. Alvarez, Evaluation of computer software packages for RBCA tier-3 analysis, A technical report submitted to Iowa Comprehensive Petroleum Underground Storage Tank Fund Board, 2001.
68. Zhang, Y.-K., and V. D. Federico, Nonergodic solute transport in heterogeneous porous media: Influence of multiscale structure, in Zhang, D., and Winter, C.L., eds., Theory, Modeling, and Field Investigation in Hydrogeology: A Special Volume in Honor of Shlomo P. Neuman’s 60th Birthday: Boulder, Colorado, Geological Society of America Special Paper 348, p. 61–72, 2000.
69. Zhang, Y.-K., B. Seo, and V. D. Federico, Stochastic analysis and simulation of transport of a Contaminant plume in nonuniform groundwater flow, Computational Methods in Water Resources, XIII, 389-395, 2000.
70. Lovanh, N., Y.-K. Zhang, R.C. Heathcote, and P.J.J. Alvarez, Guidelines to Determine Site-Specific Parameters for Modeling the Fate and Transport of Monoaromatic Hydrocarbons in Contaminated Aquifers, A technical report submitted to Iowa Comprehensive Petroleum Underground Storage Tank Fund Board, 2000.
71. Federico, V.D. and Y.-K. Zhang, Solute transport in heterogeneous porous media with long-range correlations, Water Resour. Res., 35(10), 3185-3192, 1999.
72. Lovanh, N., Y.-K. Zhang, and P.J.J. Alvarez, Statistics and effect of first-order biodegradation rate coefficient on intrinsic remediation of groundwater contamination, the proceeding of the 6th International Petroleum Environmental Conference, October, 1999.
73. Zhang, Y.-K. and V.D. Federico, Solute transport in three-dimensional heterogeneous media with a Gaussian covariance of log hydraulic conductivity, Water Resour. Res., 34(8), 1929-1934, 1998.
74. Zhang, Y.-K. and J. Lin, Numerical simulations of transport of non­ergodic plumes in heterogeneous aquifers, Stochastic Hydrology and Hydraulics, Vol. 12, No. 2, 117-139, 1998.
75. Zhang, Y.-K., A comment on “Linear equilibrium adsorbing solute transport­ in physically and chemically heterogeneous porous formations, 1. Analytical solutions” by Alberto Bellin et al., Water­ Resour. Res., 34(12), 3701-3704, 1998.
76. Zhang, Y.-K. and J. Lin, Monte Carlo simulation of non-ergodic reactive solute transport in random porous media, GQ’98: International Conference and Special Workshops on GROUNDWATER QUALITY: Remediation and Protection, 583-586, 1998.
77. Zhang, Y.-K. and J. Lin, Monte Carlo simulation of non-ergodic reactive solute transport in random porous media, GQ’98: International Conference and Special Workshops on GROUNDWATER QUALITY: Remediation and Protection, 1998.
78. Zhang, Y.-K. and R. Keeler, Modeling groundwater flow with MODFLOW in a fractured-karst aquifer in the Big Spring basin, Iowa, MODFLOW’98 International Conference, 1998.
79. Alvarez, P., Y.-K. Zhang, and N. Lovanh, The Evaluation of the Iowa Tier-2 Model Based on the Benzene Plume Dimensions and the Literature Search, Final Report, pp. 147, 1998.
80. Zhang, Y.-K., On the Variances of Second Spatial Moments of a Non­Ergodic Plume in Heterogeneous Aquifers, Water Resour. Res., 33(8), 1893-1900, 1997.
81. Zhang, Y.-K. and D. Zhang, Time-Dependent Dispersion of Non-Ergodic­ Plumes in Two-Dimensional Heterogeneous Porous Media, Journal of Hydrologic­ Engineering, Vol.2, No.2, 91-94, 1997.
82. Zhang, Y.-K. and J. Lin, Monte Carlo Simulations of Non-Ergodic Solute Transport in Random Porous Media, Proceedings of the 27th IAHR Congress, ­ 240-245, 1997.
83. Zhang, Y.-K. and J. Lin, Monte Carlo simulations of non-ergodic solute transport in random porous media, GROUNDWATER: AN ENDANGERED RESOURCE edited by Findikakis, AN and F. Stauffer, 1997.
84. Zhang, Y.-K., D. Zhang, and J. Lin, Non-Ergodic Solute Transport in­ Three-Dimensional Heterogeneous Isotropic Aquifers, Water Resources­ Res., 32(9), 2955-2963, 1996.
85. Zhang, Y.-K.; Bai, EW Simulation of spring discharge from a limestone aquifer in northeastern Iowa with an identification scheme, ModelCARE 96 Conference - Calibration and Reliability in Groundwater Modelling, edited by Kovar, K; vanderHeijde, P, Int Ground Water Modeling Ctr; Int Assoc Hydrol Sci, Int Commiss Groundwater, 1996.
86. Zhang, Y.-K., Modeling of flowing-well tests in a fractured-karst aquifer with a double-porosity model , 11th International Conference on Computational Methods in Water Resources, COMPUTATIONAL METHODS IN WATER RESOURCES XI, VOL 1, edited by Aldama, AA; Aparicio, J; Brebbia, CA; 等.1996.
87. Zhang, D. and Y.-K. Zhang, Higher-Order Velocity Covariance and Its­ Effect on Advective Transport in Three-Dimensional Heterogeneous Anisotropic­ Media, Computational Methods in Water Resources , XI, Vol. I, 689-697, 1996.
88. Zhang, Y.-K. and E.-W. Bai, Simulation of Spring Discharge from a Limestone Aquifer in Northeastern Iowa with an Identification Scheme,­ Calibration and Reliability in Groundwater Modeling, IAHS Publ. no. 237,­ 31-39, 1996.
89. Zhang, Y.-K. and J. Lin, Groundwater Monitoring Network Design with­ Geostatistics and Monte Carlo Simulation, Calibration and Reliability in­ Groundwater Modeling, ModelCARE 96, 361-370, 1996.
90. Zhang, Y.-K., E.-W. Bai, R. Libra, R. Rowden, and H. Liu, Simulation of­ Spring Discharge from a Limestone Aquifer in Iowa, USA, Hydrogeology­ Journal , v.4, no.4, 41-54, 1995.
91. Zhang, Y.-K. and J. Chi, An Evaluation of Nonlinearity in Spatial Second­ Moments of Ensemble Mean Concentration in Heterogeneous Media, Water­ Resour. Res., 31(12), 2991-3005, 1995.
92. Zhang, Y.-K. The book review on "Inverse Problems in Groundwater Modeling" by Ne-Zheng Sun, Bulletin of the American Meteorological Society,¬ July, 1995.
93. Zhang, Y.-K. Review on the book: "Inverse Problems in Groundwater Modeling" by Ne-Zheng Sun, Bulletin of the American Meteorological Society,­ July, 1995.
94. Gosselin, D.C, J.F. Ayers, and Y.-K. Zhang, Modeling Concentration­ Variations in High-Capacity Wells: Implications for Groundwater Sampling,­ Water Resources Bulletin , Vol.30, No.4, 613-622, 1994.
95. Sibray, S.S. and Y.-K. Zhang, Three-Dimensional Modeling of Hydraulic­ Behaviour of a Highly Conductive Secondary Permeability Zone in the Brule­ Formation, Proceedings of 1994 Groundwater Modeling Conference, Fort Collins,­ Colorado, 445-452, 1994.
96. Neuman, S.P., O. Levin, S. Orr, E. Paleologos, D. Zhang, and Y.-K.­ Zhang, Nonlocal Representations of Subsurface Flow and Transport by­ Conditional Moments, Computational Stochastic Mechanics, ed. by A. H.-D.­ Cheng and C.Y. Yang, Computational Mechanics Publisher, Sothhamton, the United­ Kingdom, 451-473, 1993.
97. Neuman, S.P. and Y.-K. Zhang, A Quasi-linear Theory of Non-Fickian and­ Fickian Subsurface Dispersion: 1. Theoretical Analysis with Application to­ Isotropic Media, Water Resour. Res. , 26(5), 887-902, 1990.
98. Zhang, Y.-K. and S.P. Neuman, A Quasi-linear Theory of Non-Fickian and­ Fickian Subsurface Dispersion: 2. Application to Anisotropic Media and the­ Borden Site, Water Resour. Res. , 26(5), 903-913, 1990.
99. Neuman, S.P., Y.-K. Zhang, and O. Levin, Quasi-linear Analysis,­ Universal Scaling, and Lagrangian Simulation of Dispersion in Complex Geologic­ Media, Dynamics of Fluids in Hierarchical Porous Formations, ed. by John­ Cushman, Academic Press, 349-391, 1990.
100. Xue, Y., Y.-K. Zhang, and Jiayong Lin, Application of the Dural-Porosity Model and­ Ritz Finite Element Method in Mine Drainage Estimation, Hydrogeology and­ Engineering Geology , No.3, 33-39, 1984.
101. Zhang, Y.-K, Double-Porosity Model and Finite Element Solution to Flow­ in Fractured-Karst Aquifers, Engineering Prospecting , No.4, 57-68, 1983.
102. Zhu, X. X. Qian, Y.-K. Zhang, and Guanchuan Song, Estimation of Infiltration Coefficients in­ Fractured Rocks, Engineering Prospecting, No.3, 1982.






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