Stochastic Analysis of Large-Scale Transport Processes in   Aquifers
{'Code': '07020000', 'Directorate': {'LongName': 'Directorate For Engineering'}, 'Division': {'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
{'SignBlockName': 'Edward H. Bryan'}
The objective of this research is to develop methods of                         predicting large-scale contaminant transport processes in                       naturally heterogeneous aquifers.  The aquifer heterogeneity is                 represented by a three-dimensional random field and the                         resulting transport processes are predicted by using a small                    perturbation spectral representation technique to solve the                     governing stochastic differential equations.  The validity and                  limitations of the theoretical results are evaluated using large-               scale three-dimensional numerical simulations employing state of                the art supercomputer facilities.  The theoretical results will                 also be compared with ongoing field experiments.  Using these                   techniques, the research specifically addresses unresolved issues               regarding highly heterogeneous aquifers, unsteady flow effects,                 non-stationarity heterogeneous reactive processes and two-phase                 flow.                                                                                                                                                           This research is expected to establish methods of predicting                    field-scale transport parameters from small-scale laboratory or                 field measurements.  Quantitative predictions of these field-                   scale transport processes are a central element of schemes to                   regulate and rectify groundwater contamination associated with                  waste disposal activities.  The research will also be of broad                  scientific interest in that it will establish systematic methods                of predicting the large-scale behavior of complex, naturally                    heterogeneous environmental systems.
{'FirstName': 'Lynn', 'LastName': 'Gelhar', 'EmailAddress': None, 'StartDate': '01/01/1989', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Massachusetts Institute of Technology', 'CityName': 'Cambridge', 'ZipCode': '021394301', 'PhoneNumber': '6172531000', 'StreetAddress': '77 MASSACHUSETTS AVE', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA'}
[{'Code': '1440', 'Text': 'ENVIRONMENTAL ENGINEERING'}, {'Code': '9120', 'Text': 'CROSS-DIRECTORATE PROGRAMS'}]
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1988&All=true', 'xml': '8814615.xml'}