吴吉春
地下水动力学、地下水流和溶质运移模拟、地下水随机理论、水资源与水环境评价
个性化签名
 姓名：吴吉春
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学术头衔：
博士生导师， 优秀教师/优秀教育工作者
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学科领域：
运筹学
 研究兴趣：地下水动力学、地下水流和溶质运移模拟、地下水随机理论、水资源与水环境评价
吴吉春，男，汉族，1968年生于江西上饶，1991年于南京大学地球科学提前1年半硕士毕业后留校工作，1993年任讲师，1994年获博士学位，1995年任副教授，1998年任教授，1999年被聘为博士生导师，2000年至2002年以高级访问学者身份应邀赴美合作研究。一直从事地下水动力学、地下水流和溶质运移模拟、地下水随机理论、水资源与水环境评价的教学和科研工作，现为南京大学“中青年学术骨干”，南京大学水资源与水环境研究所所长，南京大学地质流体研究所副所长，水文学及水资源青年学科带头人，教研室主任，江苏省学科评议专家成员，国务院学位委员会学科评议专家成员，2003年度上海市科技进步奖评审专家,《水文地质工程地质》编委,《水科学进展》、《高校地质学报》特约编审。至2004年已出版专著2本、教材1本,发表论文111篇（英文论文49篇、中文论文62篇），被“学术榜”SCI、EI、ISTP三大检索系统收录57篇（SCI收录20篇，EI收录22篇，ISTP收录15篇），被CSCD（19891999）收录论文20篇，其他90%以上均为国内核心刊物论文；另有已正式录用待刊的SCI源刊论文3篇，EI源刊论文4篇。曾获国家教委科技进步二等奖2次、三等奖1次，首届全国高校优秀青年教师奖、第五届全国“青年地质科技奖”―金锤奖、第三届“江苏省青年科技标兵”、第九届霍英东教育基金会高校青年教师奖（研究类）二等奖、南京大学“五四奖章”、两次获南京大学奖教金二等奖、三次获南京大学“学术研究奖”。作为项目主持或具体负责已完成科研项目研究30项（其中国家自然科学基金重点项目2项、面上项目8项、国家“七五”重点科技攻关项目3项、“八五”重点科技攻关项目1项、博士点基金项目3项、其他部省级项目6项、横向项目6项、美国能源部合作项目1项）；主讲本科生及研究生专业主干课《地下水动力学原理》、《地下水流数值模拟》等多门次，独立指导博士后2名、博士生3名，硕士生13名。科研成果已在国内外同行中产生了良好影响，多次受邀担任国际会议的学术委员会委员、国际著名专业期刊的审稿人、国际会议特约报告人。

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吴吉春， Jichun Wu. Bill X. Hu and Changming He
WATER RESOURCES RESEARCH, VOL. 40, 2004，0001，（）：
1年11月30日
In this study, geostatistical and stochastic methods are used to study groundwater flow and solute transport in a multiscale heterogeneous formation. The formation is composed of various materials, and distributions of conductivity and chemical sorption coefficient within each material are heterogeneous. The random distributions of materials in the formation are characterized by an indicator function. The conductivity and chemical sorption coefficient fields in each material are assumed to be statistically stationary. On the basis of these assumptions a general expression is derived for the covariance function of the composite field in terms of the covariance of the indicator variable and the properties of the composite materials. Darcy's law and perturbation method are applied to develop the covariance of the retarded velocity. The numerical method of moments [Zhang et al., 2000; Wu et al., 2003a, 2003b] is used to study the effects of various uncertain parameters on flow and transport predictions. Case studies have been conducted to investigate the influences of a medium's physical and chemical heterogeneity and nonstationarity on solute flux prediction. The study results indicate that the largescale heterogeneity dominates the effcts on flow and solute transport processes, and the effect of smallscale heterogeneity is secondary. It is also shown from the case studies that the numerical method of moments is applicable to studying flow and solute transport in complex subsurface environments, especially for the uncertainty analysis. Monte Carlo simulation is also conducted, and the results are compared with those obtained through method of moment. The calculation results of the mean total solute flux by the two methods match very well, but the variance of total solute flux obtained by the method of moments is smaller than that by the Monte Carlo method, especially for the cases with large total variances of the conductivity and sorption coefficient. In comparison with the Monte Carlo simulation, the method of moments is much more efficient in calculation.
solute flux,， stochastic,， nonstationarity,， multiscale heterogeneity,， method of moment

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吴吉春， Jichun Wu， and Bill X. Hu，
Mathematical Geology, Vol. 36, No.2, February 2004，0001，（）：
1年11月30日
A Lagrangian perturbation method is applied to develop a method of moments for reactive solute flux through a threedimensional, nonstationary flow field. The flow nonstationarity may stem from medium nonstationarity, finite domain boundaries, and/or fluid pumping and injecting. The reactive solute fluxis described as a spacetime process where time refers to the solute flux breakthrough in a controlplane at some distance downstream of the solute source and space refers to the transverse displacementdistribution at the control plane. The analytically derived moments equations for solute transport in a nonstationary flow field are too complicated to solve analytically; therefore, a numerical finite difference method is implemented to obtain the solutions. This approach combines the stochastic model with the flexibility of the numerical method to boundary and initial conditions. The approach provides a tool to apply stochastic theory to reactive solute transport in complex ubsurface environments. Several case studies have been conducted to investigate the influence of the physical and chemical heterogeneity of a medium on the reactive solute flux prediction in onstationary flow field. It is found that both physical and chemical heterogeneity significantly affect solute transport behavior in a nonstationary flow field. The developed method is also applied to an environmental project for predicting solute flux in the saturated zone below the Yucca Mountain Project area, demonstrating the applicability of the method in practical environmental projects.
groundwater,， stochastic methods,， subsurface heterogeneity,， nonstationarity,， method of moments.，

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吴吉春， Jichun Wu a， Bill X. Hu a， Dongxiao Zhang c
Journal of Hydrology 275 (2003) 208228，0001，（）：
1年11月30日
In this study, we make use of a nonstationary stochastic theory in studying solute flux through spatially nonstationary flows in porous media. The nonstationarity of flow stems from various sources, such as multiscale, nonstationary medium features and complex hydraulic boundary conditions. These flow nonstationarities are beyond the applicable range of the 'classical' stochastic theory for stationary flow fields, but widely exist in natural media. In this study, the stochastic frames for flow and transport are developed through an analytical analysis while the solutions are obtained with a numerical method. This approach combines the stochastic concept with the flexibility of the numerical method in handling medium nonstationarity and boundary/initial conditions. It provides a practical way for applying stochastic theory to solute transport in complex groundwater environments. This approach is demonstrated through some synthetic cases of solute transport in multiscale media as well as some hypothetical scenarios of solute transport in the groundwater below the Yucca Mountain project area. It is shown that the spatial variations of mean logconductivity and correlation function significantly affect the mean and variance of solute flux. Even for a stationary medium, complex hydraulic boundary conditions may result in a nonstationary flow field. Flow nonstationarity and/or nonuniform distribution of initial plume (geometry and/or density) may lead to nonGaussian behaviors (with multiple peaks) for mean and variance of the solute flux. The calculated standard deviation of solute flux is generally larger than its mean value, which implies that real solute fluxes may significantly deviate from the mean predictions.

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吴吉春， Jichun Wu a， b， Bill X. Hu a， c， Dongxiao Zhang d， Craig Shirley a
Advances in Water Resources 26 (2003) 11491169，0001，（）：
1年11月30日
A threedimensional numerical method of moments has been developed for solute ﬂux through nonstationary ﬂows in porous media. The solute ﬂux is described as a spacetime process where time refers to the solute ﬂux breakthrough and space refers to the transverse displacement distribution at a control plane. Flow nonstationarity may stem from various sources, such as the medium's conductivity nonstationarity and complex hydraulic boundary conditions. The ﬁrst two statistics of solute ﬂux are derived using a Lagrangian framework and are expressed in terms of the probability density functions (PDFs). These PDFs are given in terms of oneand twoparcel moments of travel time and transverse locations, and these moments are related to the Eulerian velocity moments. The moment equations obtained analytically for ﬂow and transport are so complex that numerical techniques are used to obtain solutions. In this study, we investigate the inﬂuence of various factors, such as the grid resolution relative to correlation length and the number of solute parcels comprising a source, on the accuracy of the calculation results. It has been found that for the computation of means and variances using the developed moment equations, hydraulic head requires at least one numerical grid element per correlation length scale. At least two grid elements are required for velocity, and 12 grid elements for the solute ﬂux variance. Five parcels are required per correlation length scale to approximate the initial solute source distribution. The eﬀects of boundary and hydraulic nductivity nonstationarity on ﬂow and transport are also considered. Flow nonstationarity caused by either hydraulic boundary condition or conductivity nonstationarity signiﬁcantly inﬂuences the transport process. The calculation results of numerical method of moments are compared with Monte Carlo simulations. The comparison indicates that the two methods are consistent with each other for head variance, velocity covariance in longitudinal direction, and mean and variance of total solute ﬂux, but numerical method of moment underestimates the velocity variance in transverse direction. The method is applied to an environmental project for predicting the solute ﬂux in the saturated zone below the Yucca Mountain project area, demonstrating the applicability of the method to complex subsurface environments.
Solute ﬂux， Stochastic， Nonstationarity， Random， Method of moment

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