Marc L Serre
400A Westwood Dr.
Chapel Hill, NC 27516
Home Phone: (919) 968-0833
Office Phone: (919) 966-7014
Dept. of Environmental Sc. & Eng.
University of North Carolina at Chapel Hill
Chapel Hill, NC 27599-7431
email: marc_serre@unc.edu
EDUCATION
Ph.D. in Environmental Modeling – August 1999
University of North Carolina – Chapel Hill, NC
Dissertation: Environmental Spatiotemporal Mapping and Ground Water Flow Modeling using the BME and ST
methods
Dissertation Advisor: Professor George Christakos.
Coursework: Reactor and Mass transfer, Groundwater, Geostatistics, System Analysis, Environmental Planning,
Stochastic Processes, Measure and Integration, Numerical Methods, Parallel Computing
G.P.A.: All H grades (equivalent to 4.00)
M.S. in Civil and Environmental Engineering – August 1992.
University of Iowa – Iowa City, IA
Thesis: Energy Loss Coefficients for Combining Pipe Flow in Fish Bypass Systems
Thesis Advisor: Associate Dean A. Jacob Odgaard
Coursework: Biological Treatment Processes, Environmental Chemistry, Physical-Chemical Treatment
Processes, Solid and Hazardous Wastes, Air Pollution, Sediment Transport, Hydrometeorology, Viscous
Flow
G.P.A.: 3.97 / 4.00
M.S. in Hydraulic Engineering – June 1990
National School of Electricity, Computer Sciences and Hydraulics – Toulouse, FRANCE
Coursework: Hydraulics, Fluid Mechanics, Soil Sciences, Concrete, Design of Dams, Hydrology, Mathematics
B.S. and M.S. in Physics Engineering – June 1989
National Institute of Applied Sciences – Toulouse, FRANCE
Coursework: Sound foundation in Engineering, Physics and Mathematics
TEACHING
EXPERIENCE
The University of North Carolina - Chapel Hill, NC
ENVR 201: Model-Based Exposure Mapping and Risk Assessment- 3 semester hours
Faculty instructor - 2001, 2002
ENVR 278: Geostatistics For Space/Temporal Environmental Phenomena - 3 semester hours
Teaching Assistant. Prepared and gave lecture notes - 1998, 1999, 2000
ENVR 279: Random Field Modeling Of Physical Processes - 3 semester hours
Teaching Assistant. Prepared and gave lecture notes - 1999, 2000
The Fourth Annual Conference of the International Association for Mathematical Geology - Ischia, ITALY
Short Course in Spatiotemporal Mapping and analysis – 8 hour course for scientists
Instructor - 1998
Eagle Point Inc. - Dubuque, IA
Short courses in Hydraulic and Hydrologic Engineering – 30 hours courses for consultants and engineers
Instructor – 1993, 1994, 1995
Marc L. Serre
RESEARCH
INTERESTS
Atmospheric mapping of air pollutants and aerosols
Toxicokinetic modeling of environmental agents
Exposure and risk assessment across space and time
Hydraulics and hydrology integrated computer modeling
Temporal GIS and numerical development of advanced mapping functions
PROFESSIONAL
AFFILIATIONS
Member, American Society of Civil Engineers (ASCE)
Member, American Geophysical Union (AGU)
Member, International Association of Mathematical Geology (IAMG)
PROFESSIONAL
EXPERIENCE
University of North Carolina – Chapel Hill, NC
Research Assistant Professor, 5/2000-present
Teach classes at the university, and perform research work with the Center for Advanced Study of the
Environment that includes several graduate students and faculty. Organizes the day to day activity of the
research group, conduct weekly group meetings, and design and administer a state-of-the-art computer
system for high performance computing. Participate in submitting proposals for additional work, collaborate
with several groups internationally, and host visited scholars.
CH2M Hill – Cairo, EGYPT
United States Agency for International Development (US AID)
Mapping and GIS Expert Consultant – 12/1999-4/2000
Mapping and GIS expert, analysis of particulate matter and lead pollution in the air for the Cairo Air
Improvement Project, a USAID funded project. Was the leading expert for the analysis and mapping of air
monitoring data collected in the most comprehensive monitoring project to date in Cairo. Wrote sections of
the final report submitted to USAID and the Egyptian Minister of the Environment, which serves as the
benchmark upon which air pollution abatement strategies are designed and evaluated.
University of California at Berkeley – Berkeley, NC
Visiting Scholar – summer 1997.
Groundwater flow modeling, in collaboration with Professor Garrison Sposito, Ecosystem Sciences Division
at Berkeley.
University of North Carolina – Chapel Hill, NC
Graduate Research Fellow – 9/1995-8/1999.
Prediction study of atmospheric pollutants in space and time. Epidemiology study of the mortality/air
quality association. Spatiotemporal mapping of natural processes. Implementation of the Bayesian
Maximum Entropy (BME) method. Analysis of groundwater flow and transport. Efficient numerical
modeling of 3D flow using the Space Transform (ST) method. Application to stochastic analysis of flow in
highly heterogeneous media. Study for the improvement and sustainability of water distribution systems for
the poor in developing countries.
The World Bank – Dakar, SENEGAL
Consultant for Willingness to Pay Study – summer 1996.
Willingness to pay study for improvement in water distribution and sanitary facilities, with Professor Don
Lauria. Collaborated in the design and implementation of the questionnaires (in French), recruiting and
training of the interviewers in Dakar, Senegal, and supervision of the interviews.
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Marc L. Serre
Eagle Point Corporation – Dubuque, IA
Senior Product Engineer – 1992-1995.
Applied GIS for hydraulic and hydrologic studies in engineering consulting projects. Developed the model
Water Surface ProfilingTM used for floodway and bridge flow analysis. Integrated Watershed ModelingTM,
Storm SewersTM and Sanitary SewersTM in CAD and GIS environments. Assisted consulting engineers in
roadway design, earth volume calculation, storm and sanitary design and floodplain analysis. Gave hydraulic
and hydrology seminars to consulting engineers.
Iowa Institute of Hydraulic Research – Iowa City, IA
Graduate Research Assistant – 1990-1992
Performed small-scale hydraulic models of fish bypass systems on the Columbia River, and sediment
transport in rivers. Developed a theoretical fluid flow model to predict energy dissipation at combining pipe
flow and jet impingement in a cross flow.
ELEMENTS Consultants – Tarbes, FRANCE
Hydraulic Engineer – 1990
Completed several floodplain analysis and stream restoration projects. Was involved in field surveys and
data collection, ran numerical models to obtain flood profiles and floodplain delineation, proposed floodway
designs and stream restoration strategies to local governments.
IBM – Analysis Laboratory at the manufactory plant of Corbeil-essonnes, FRANCE
Research Assistant – summer 1989.
Testing of the semiconductor properties of microprocessors
CNRS (National Center of Scientific Research) – Grenoble, FRANCE
Research Assistant – summer 1988
High-resolution spectrometry of AsGa semiconductor under very high pressure
HONORS
Computational Science Graduate Fellowship, U.S. Department of Energy, 1996-1999
Graduate Fellowship of the U.S. Department of Education, 1995-1996
Dean's List, Department of Environmental Sciences and Engineering, Univ. of Iowa, 1992
INTERNATIONAL
BACKGROUND
Languages: French and English. Basic Spanish, German and Arabic
Residence: France, Egypt, and United States
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Marc L. Serre
EDITORIAL &
PEER-REVIEWING
SERVICES
Special editor, ModelCARE'2002 special journal issue of Stochastic Environmental Research & Risk
Assessment, 2002
Reviewer, journal of Stochastic Environmental Research & Risk Assessment, 1999-present
Reviewer, journal of Advances in Water Resources, 2000-present
BOOK
Christakos, G., P. Bogaert, and M.L. Serre, Temporal GIS: Advanced Functions for Field-Based Applications,
Springer-Verlag, New York, N.Y., 210 p., CD ROM included (2002)
REFEREED
PUBLICATIONS
Serre, M.L., A. Kolovos, G. Christakos, C. Modis, “Exposure and Health Effect Study of Naturally Occurring
Arsenic in Bangladesh Drinking Water”, Stochastic Environmental Research & Risk Assessment, submitted,
(2002).
Serre, M.L. and G. Christakos, "Efficient Exposure Mapping across space and time of Particulate Matter in the
United States", Proceedings of Air Pollution 2002, Segovia, Spain, July 1-3, in preparation with accepted
abstract, (2002).
Serre, M.L. and G. Christakos, "BME-based hydrogeologic parameter estimation in groundwater flow modeling",
Proceedings of ModelCARE2002, Prague, Czech Republic, June 17-20, submitted to Acta Universitatis
Carolinae Geologica, (2002).
Christakos, G., A. Kolovos and M. L. Serre, "BME Mapping of Ozone TOMS and SBUV Satellite Data",
Proceedings of Air Pollution 2002, Segovia, Spain, July 1-3, in preparation with accepted abstract, (2002).
Choi, K, M.L. Serre and G. Christakos, “Spatiotemporal BME Mapping Of Health Fields At Different Spatial
Scales”, Journal of Exposure Analysis and Environmental Epidemiology, submitted, (2002).
Kolovos, A., G. Christakos and M.L. Serre, "A BME-Based Stochastic Solution Of The Advection-Reaction
Equation In The Space-Time Domain", Water Resources Research, submitted, (2002).
Christakos, G., M.L. Serre and J. Kovitz, "Bayesian Maximum Entropy Representation Of Particulate Matter
Distribution In The State Of California On The Basis Of Uncertain Measurements", Journal of Geophysical
Research-D, 106 (D9), 9717-9731, (2001).
Christakos, G. and M L. Serre, "BME Analysis Of Particulate Matter Distributions In North Carolina”,
Atmospheric Environment, 34, 3393-3406, (2000).
Christakos, G. and M.L. Serre, "Spatiotemporal Study Of Environmental Exposure-Health Effect Associations",
Journal of Exposure Analysis and Environmental Epidemiology, 10(2), 168-187, (2000).
Christakos, G. and M.L. Serre., V. Demyanov, V. Timonin, V.M. Kanevski, E. Saveliera, S. Chernov, "BME
analysis of Neural Network residual data from Chernobyl fallout: Bayesian and non-Bayesian approaches", in P.
Monestiez, D. Allard and R. Froidevaux, editors, geoENV III - Geostatistics for Environmental Applications,
Kluwer Academic Publishers, Dordrecht, 1, 509-510, (2000).
Serre, M.L., G. Christakos, J. Howes and A. Gamal, “Powering an Egyptian air quality information system with
the BME space/time analysis toolbox”, in P. Monestiez, D. Allard and R. Froidevaux, editors, geoENV III Geostatistics for Environmental Applications, Kluwer Academic Publishers, Dordrecht, 1, 91-100, (2000).
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Marc L. Serre
Bogaert,
P.,
M.L.
Serre
and
G.
Christakos,
"Bayesian
Maximum
Entropy
method
using transformations”, in S. J. Lippard, A. Naess, and R. Sinding-Larsen, editors, Proceedings of IAMG '99 Fifth Annual Conference of the International Association for Mathematical Geology, Trondheim, Norway, 1, 5762, (1999).
Christakos, G., D.T. Hristopulos, and M.L. Serre, "BME studies of stochastic differential equations representing
physical laws-Part I", in S. J. Lippard, A. Naess, and R. Sinding-Larsen, editors, Proceedings of IAMG '99 - Fifth
Annual Conference of the International Association for Mathematical Geology, Trondheim, Norway, 1, 63-68,
(1999).
Hristopulos, D. T., G. Christakos and M. Serre, "Implementation Of A Space Transformation Approach For
Solving The Three-Dimensional Flow Equation", SIAM Journal on Scientific Computing, 20(2), 619-647,
(1999).
Serre, M. L., and G. Christakos, "Modern Geostatistics: Computational BME In The Light Of Uncertain Physical
Knowledge--The Equus Beds Study", Stochastic Environmental Research and Risk Assessment, 13(1), 1-26,
(1999).
Serre, M. L, and Christakos G., 1999, "BME studies of stochastic differential equations representing physical
laws - Part II", in S. J. Lippard, A. Naess, and R. Sinding-Larsen, editors, Proceedings of IAMG '99 - Fifth
Annual Conference of the International Association for Mathematical Geology, Trondheim, Norway, 1, 93-98,
(1999).
Choi, K., G. Christakos and M.L. Serre, "Recent Developments in vectorial and multi-point BME analysis", in
A. Buccianti, G. Nardi and R. Potenza, editors, Proceedings of IAMG '99 - Fifth Annual Conference of the
International Association for Mathematical Geology, De Frede Editore, Napoli, 1, 91-96, (1998).
Serre, M. L., P. Bogaert and G. Christakos, "Latest Computational Results in Spatiotemporal Prediction Using
the Bayesian Maximum Entropy Method", in A. Buccianti, G. Nardi and R. Potenza, editors, Proceedings of
IAMG '99 - Fifth Annual Conference of the International Association for Mathematical Geology, De Frede
Editore, Napoli, 1, 117-122, (1998).
Serre, M. L., A. J. Odgaard, and R. A. Elder. "Energy loss at combining pipe junction", Journal of Hydraulic
Engineering, 120 (7), 808-830, (1994).
REPORTS
Serre, M. L., "Numerical aspects of the implementation of the BME method using soft information", CASEnews,
Center for the Advanced Studies of the Environment, University of North Carolina, Chapel Hill, N.C, 1 (2),
(2001).
Serre, M. L., Environmental Spatiotemporal Mapping and Groundwater Flow Modeling using the BME and ST
methods, Ph.D. Dissertation, Depart. of Environmental Sciences & Engineering, University of North Carolina at
Chapel Hill, (1999).
Serre, M. L., User's manual for Water Surface Profiling, Eagle Point Corporation , (1995).
Odgaard, A. J. and M. L. Serre, "Hydraulic Model studies for Fish Diversion at Wanapum/Priest Rapid
Developments", Iowa Institute of Hydraulic Research technical report, Feb. (1992).
RECENT INVITED TALKS &
PRESENTATIONS (SINCE 2000)
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Marc L. Serre
Augustinraj, R., M. L. Serre, and G. Christakos, "Modeling the spatiotemporal distribution of subsurface heavy
metal contamination at the Cherrypoint, NC superfund site", Annual Superfund Basic Research Program
Symposium, University of North Carolina at Chapel Hill, Friday Center, November 7, (2001)
Choi, K, M.L. Serre and G. Christakos, "Spatiotemporal BME analysis and mapping of mortality distribution in
California", The 53rd Session of the International Statistical Institute, Seoul, 22-29 August (2001).
Kolovos, A., M. L. Serre, and G. Christakos, "Spatial mapping of arsenic in the groundwater and associated
population health effects", Annual Superfund Basic Research Program Symposium, University of North Carolina
at Chapel Hill, Friday Center, November 7, (2001)
Kolovos, A., G. Christakos and M.L. Serre, "BME mapping of pollutants governed by advection reaction",
Annual Superfund Basic Research Program Symposium, University of North Carolina at Chapel Hill, Friday
Center, November 7, (2001)
Serre, M. L., "Space/time modeling of particulate matter in the United and abroad using uncertain information",
Invited talk for the Environmental Statistics Seminar hosted by professor Monserrat Fuentes, Department of
Statistics, North Carolina State University, November 13, (2001)
Augustinraj, R, I. Nienhueser, M.L. Serre and G. Christakos, "Spatiotemporal exploratory data analysis of
collected contaminant measurements for some NPL and non-NPL sites", Superfund Basic Research Program
Annual Meeting, Chapel Hill, North Carolina, December 12-14, (2000)
Demyanov, V. , M.L. Serre, G. Christakos, V. Timonin, M. Kanevski, E. Savelieva, S. Chernov "Neural Network
residual BME analysis of Chernobyl fallout", In Proc. GeoEnv2000 (3rd Europ. on Geostatistics for Envir.
Appl's), Avignon, France, Nov. 22-24, (2000).
Howes, J., M.L. Serre, Labib, M., N. Samaha, M. Sabry, H. Araby, "Ambient PM and Lead Levels in Cairo,
Egypt: Baseline Year Monitoring Results", Abstract No. 449, AWMA 93rd Annual Conference & Exhibition,
Salt Lake City, June 18-22, (2000).
Kolovos, A., G. Christakos and M.L. Serre, "Incorporation of Physical Laws and Other Forms of Knowledge in
Spatiotemporal Prediction of Hydrologic Processes", American Geophysical Union 2000 Fall Meeting , San
Francisco, California, December 15-19, (2000)
Kolovos A., G. Christakos and M.L. Serre, "Investigations on the numerical implementation of physical laws
incorporation in the BME framework", Superfund Basic Research Program Annual Meeting, Chapel Hill, North
Carolina, December 12-14, (2000)
Kyungmee C., G. Christakos and M.L. Serre, "Space/time analysis the mortality rate in California as a health
indicator at small spatial scale using the BME method ", Superfund Basic Research Program Annual Meeting,
Chapel Hill, North Carolina, December 12-14, (2000)
Labib, M., N. Samaha, J. Howes, M.L. Serre, M. Sabry, H. Araby, "Ambient PM and Lead Levels in Cairo,
Egypt: Baseline Year Monitoring Results", The International Conference for Environmental Hazard Mitigation,
Cairo University, Egypt, Sep 9-12, (2000).
Serre, M.L. and G. Christakos, "Stochastic mapping in subsurface hydrology using soft information and physical
laws: A review of some BME case studies", 2000 Annual Meeting and International Conference of the American
Institute of Hydrology, Research Triangle Park, North Carolina, Nov. 5-8, (2000)
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Marc L. Serre
REFERENCES

Professor George Christakos
Director, Center for the Advanced Study of the Environment
Department of Environmental Science & Engineering
School of Public Health
University of North Carolina at Chapel Hill
Chapel Hill, NC 27599-7431
(919) 966-1767
george_christakos@unc.edu

Professor Ricardo Olea
Past President, International Association of Mathematical Geology
Senior Scientist, Mathematical Geology Section
Kansas Geological Survey
1930 Constant Avenue
University of Kansas
Lawrence, KS 66047-3726
(785)-864-2095
olea@kgs.ukans.edu

Professor Garrison Sposito
Ecosystem Sciences;
Department of Civil and Environmental Engineering
117B Hilgard Hall
The University of California at Berkeley
(510) 643-8297
gsposito@nature.berkeley.edu

Professor Forrest M. Holly, Jr.
President, International Association of Hydraulic Research
Department of Civil and Environmental Engineering
503H Hydraulics Laboratory
The University of Iowa
Iowa City, IA 52242
(319) 335-5229
forrest-holly@uiowa.edu

Professor Cass T. Miller
Chair, Department of Environmental Sciences and Engineering
University of North Carolina at Chapel Hill
Chapel Hill, NC 27599-7400
(919) 966-2643
casey_miller@unc.edu
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Marc L. Serre
RESEARCH PLAN
My research interests are in the development of a comprehensive analysis framework for the distribution of environmental
agents across space and time, in the toxicokinetic modeling of their health effects on human, and in the risk assessment of
the resulting human health impact at the population level. The environmental agents I am particularly interested in are the
air pollutants and aerosols transported in the atmosphere, as well as pollutants transported in the subsurface and surface
water. Recent advances in my research work have resulted in the development of a numerical toolbox that provides
innovative and powerful advanced mapping functions for environmental health mapping applications in temporal GIS.
The underlying theory and the application of this toolbox to environmental and epidemiological field-based problems are
presented in a new book (with co-authors Christakos and Bogaert). This toolbox and the novel underlying theory are
already generating a lot of interest from environmental scientists and epidemiologists, and will provide an excellent
starting block on which to anchor my research plan and build a successfully funded research program. This research
program will involve inter-disciplinary fields corresponding to several areas of expertise represented in the ESE
department at UNC, with a focus most notably on risk assessment and aerosols sciences, but also with strong components
in toxicokinetic modeling, flow and transport in subsurface and surface water, environmental policy implications, etc. The
particular components of my research plan are described next:
Atmospheric mapping of air pollutants and aerosols
Air pollutant and aerosols are a major environmental health concern in the United States. Several ESE faculties at UNC
are working with various air pollutants and aerosols, including Drs. Christakos, Flynn, Jeffries, Kamens, Leith, Turner,
etc. Regulations have been designed to protect the human population from the adverse health effects of these pollutants,
and substantial resources are devoted to monitor them using national monitoring networks and satellites maintained by US
agencies such as the EPA, NOAA, NASA, etc. Because of the health concerns associated with these pollutants, it is
important to obtain an accurate representation of their distribution across space and time. However, the high variability of
measurements across space and time and the different level of accuracy of the measuring instruments introduce major
sources of uncertainties that are not properly accounted for with the classical mapping techniques. In this component of
my research effort, I will use the novel Bayesian Maximum Entropy (BME) method to process the various physical
knowledge bases available and produce accurate and realistic representations of pollutant-fields across space and time.
Introduced in the last decade, the BME method has shown to be a new approach that is much more powerful than classical
methods of Geostatistics, not accounting for the composite space/time variability and the measurement errors of
concentration of the pollutants. I have been working recently on developing and making public the BMELIB package,
which provides a numerical implementation of the BME method. The BMELIB numerical library is generating much
interest from environmental scientists and epidemiologists, and it will be very useful to start a research program with
funding agencies such as EPA, NOAA, NASA and ARO. UNC will be an ideal location to maintain and expand the
contacts developed with these funding agencies located in the Triangle area and in nearby DC. Some of the hot topics that
will motivate future funding include the EPA effort to expand their PM2.5 monitoring network, the requirement by the
State of North Carolina to comply with Ozone modeling regulation, the need for industries to better control the
spatiotemporal distribution of aerosols in the working environment, and the interest by NASA and NOAA to use BMELIB
to process satellite Ozone data. My research plan is to use the current state of the art theory and numerical tools for the
atmospheric mapping of aerosols and air pollutants, and to further develop the analysis tools available in order to be able
to include aerosols physical laws in the mapping procedure.
Funding agencies: EPA, NOAA, NASA, ARO, CRDF
Toxicokinetic modeling of environmental agents
Toxicokinetic analysis is used to predict the distribution of biomarkers in the human body resulting from the exposure to
some toxic agents. Toxicokinetic models provide a description of the rate at which toxics migrate in the body through
different compartments representing well-defined physiological entities. I plan to work toward the development of
physiologically based toxicokinetic models that will better predict the distribution of toxics in the body resulting from the
exposure to some environmental agents, which include Arsenic, Lead, Ozone and particulate matter. These models will
typically use sets of stochastic differential equations to represent the transfer from the pollutant exposure (i.e.
concentration in contact with exposed individuals) to the burden on target organs (i.e. fraction of the intake that is actually
retained by the organ). The Toxicokinetic Susceptibility Research Core (headed by Dr. Rappaport) at the UNC-CH
Center for Environmental Health and Susceptibility (directed by Dr. Swenberg) will provide an excellent research
structure to develop collaboration with other SPH faculties interested in this problem, including Drs. Ball, CrawfordBrown, Christakos, Nylander-French, Rappaport and Swenberg. Funding for this research will come from health
agencies, such as the NIEHS, interested in the development of toxicokinetic models, as well as agencies such as the EPA
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Marc L. Serre
that are interested in applying these models in the context of space/time analysis of the health effects of aerosols and other
pollutants dispersed in the environment.
Possible funding agencies: EPA, NIEHS, NCI, NIAID, NIH
Population risk assessment across space and time
This part of my research plan will focus on the risk assessment at the population level of adverse health effects resulting
from the exposure to environmental agents. The objective of this research will be to develop a comprehensive analysis
framework that will integrate the spatiotemporal analysis of the distribution of pollutants, together with toxicokinetic
models and dose-response curves, to provide maps representing the adverse health effect on the population across space
and time. The BME approach will provide a rigorous and powerful stochastic analysis framework to perform the risk
assessment analysis. The framework developed will account for all sources of uncertainties, including the uncertainty in
the toxicokinetic models and the dose-response curves as well as that of the space/time interpolation, which will be a
unique contribution to the field of risk assessment. Funding for this research will come from funding bodies such as EPA,
NOAA, DOD and ARO which have a vested interest in monitoring harmful pollutants distributed in the environment, and
also from institutes such as NIH and NIEHS interested in developing a better understanding of human health effects. This
research will provide a representation of the human health impact across space and time in terms of informative and
realistic maps that will be very useful to policy makers. As a result this research may provide the motivation for a
collaboration bringing together ESE faculties involved in risk assessment with ESE faculties in environmental
management and policy, such as for example Drs. Andrews, Crawford-Brown, Christakos, Lauria, Rappaport, Sobsey and
Whittington.
Possible funding agencies: EPA, NIEHS, DOD, ARO, NOAA
Hydraulics and hydrology integrated computer modeling
The stochastic modeling of the fate and transport of contaminants in the subsurface and surface water is a classical area of
research that has provided complex research problems for many years. Several faculties in ESE have on going research
programs in this area, including Drs. Christakos, Hilpert, Miller, etc. I plan to continue this tradition by adding my
expertise in hydraulics and hydrology integrated computer modeling. Funding will come in part from agencies such as
EPA, DOD, ARO, NOAA dealing with environmental contamination of the groundwater and surface water, as well as
from projects with interested collaborators in the ESE (limnology, water distribution systems, etc.), and outside UNC
(Iowa Institute of Hydraulic Research, Hydrologic Research Center, etc.).
Possible funding agencies: EPA, DOD, ARO, NOAA, NSF
Temporal GIS and numerical development of advanced mapping functions
The numerical development of advanced functions for temporal GIS is an on-going research effort that I will continue as
part of my research program. This research work provides a numerical toolbox used by a wide audience of environmental
scientists and epidemiologists, which provides access to a wealth of potential collaborators, and also serves as a powerful
and well-tested analysis toolbox for my research group.
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