Field Sampling Strategy for Determination of Groundwater    Contamination Using Distributed Parameter Estimation Theory
{'Code': '07020000', 'Directorate': {'LongName': 'Directorate For Engineering'}, 'Division': {'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
{'SignBlockName': 'Edward H. Bryan'}
This research utilizes recent advances in groundwater hydrology and in          the analytical techniques of distributed parameters estimation theory           to design an optimal sampling strategy for field observations to                determine the extent of groundwater contamination and progress made in          its mitigation.  The results of this research will be applicable to             engineering design of monitoring systems to determine the extent of             groundwater pollution, mitigation measures and rate of progress upon            initiation of mitigation procedures.
{'FirstName': 'Dennis', 'LastName': 'McLaughlin', 'EmailAddress': 'dennism@mit.edu', 'StartDate': '02/01/1986', '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'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1985&All=true', 'xml': '8514987.xml'}