Stochastic Models of the Flood Hydrograph Realizations
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
{'SignBlockName': 'William A. Anderson', 'PO_EMAI': None, 'PO_PHON': None}
This project aims to develop new stochastic models and a probabilistic          description for the complete shapes of generally multi-packed                   continuous-time flood realizations.  First, a point stochastic model of         the generally multi-station precipitation process, as observed at the           available gaging stations over a watershed, will be developed.                  Usingprecipitation as the driving process of floods, a                          three-dimensional point stochastic (3-DPS) model for flood starting             times, times to peaks, and peak magnitudes will be obtained.  Then a            stochastic model for the continuous-time flood realizations will be             developed as an extension of the 3-DPS model.  Finally, a probabilistic         description of the continuous-time, generallymulti- peaked flood                hydrograph realizations will be obtained from the above models in terms         of a joint probability density function.
{'FirstName': 'M. Levent', 'LastName': 'Kavvas', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'M. Levent Kavvas', 'EmailAddress': 'mlkavvas@ucdavis.edu', 'NSF_ID': '000417301', 'StartDate': '01/01/1985', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Kentucky', 'CityName': 'LEXINGTON', 'ZipCode': '405260001', 'PhoneNumber': '8592579420', 'StreetAddress': '500 S LIMESTONE', 'StreetAddress2': '109 KINKEAD HALL', 'CountryName': 'United States', 'StateName': 'Kentucky', 'StateCode': 'KY', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'KY06', 'ORG_UEI_NUM': 'H1HYA8Z1NTM5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF KENTUCKY RESEARCH FOUNDATION, THE', 'ORG_PRNT_UEI_NUM': None}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '1474', 'Text': 'NAT & MAN-MADE HAZARD MITIGATI'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1984&All=true', 'xml': '8411896.xml'}