Gregory Granato
Gregory Granato is a Hydrologist in the USGS New England Water Science Center.
His research focuses on developing hydrologic software to provide actionable information for environmental decisionmakers. Gregory has worked with the USGS on projects covering all aspects of hydrology since 1992. Before that time he was an aerospace engineer working on the design of the Space Station water and waste treatment systems.
Software (currently supported):
SELDM Stochastic Empirical Loading and Dilution Model
KTRLine Kendall-Theil Robust Line
Streamflow software
Highway-Runoff Database
Patents:
Automated Groundwater Monitoring System and Method U.S. Patent 6,021,664
Automated self-calibrating water quality monitoring sensor housing assembly U.S. Patent 6,936,156
USGS NTCenter Class:
H1843 - Stormwater Runoff Quality Analysis with SELDM Developed and taught this class 2013-present
National Webinars:
NASEM TRB Approaches for Determining and Complying with TMDL Requirements Related to Roadway Stormwater Runoff
Water Research Foundation Integrated Stormwater Management for Highway and Transportation Sector (2017)
NASEM TRB Use and Implementation of the Federal Highway Administration Stochastic Empirical Loading and Dilution Model
Other research activities:
NASEM TRB Standing Committees
AKD50 Standing Committee on Hydrology, Hydraulics and Stormwater
NASEM National Cooperative Highway Research Program Research Panels
NCHRP 25-25 Enhancing the International Stormwater BMP Database
NCHRP 25-31 Improving Water Quality in Ultra-Urban Areas
NCHRP 25-32 Measuring and Removing Dissolved Metals from Storm Water
NCHRP 25-40 Long-Term Performance and Life-Cycle Costs of Stormwater BMPs
NCHRP 25-53 Approaches for Determining and Complying with TMDL Requirements
Professional Experience
1993- present, U.S. Geological Survey - Hydrologist
1992 - 1993, U.S. Geological Survey - Hydrologist/Software Engineer
Education and Certifications
M.S. Civil/Environmental Engineering, University of Virginia, 1992
B.S. Mechanical and Manufacturing Engineering, University of Hartford, 1988
Honors and Awards
ASCE Outstanding Reviewer Prize: Reston, VA, 2015
Science and Products
Transportation-Related Water Projects in New England
Transportation-Related Water Projects
SELDM: Stochastic Empirical Loading and Dilution Model - Project page
Stochastic Empirical Loading and Dilution Model (SELDM) Transportation Research Board Presentation
National Highway Runoff Water-Quality Data and Methodology Synthesis (NDAMS)
FHWA 1990 "Driscoll" Model Pollutant Loadings and Impacts from Highway Stormwater Runoff
Model Archive for Analysis of Flows, Concentrations, and Loads of Highway and Urban Runoff and Receiving-Stream Stormwater in Southern New England with the Stochastic Empirical Loading and Dilution Model (SELDM)
Application of the North Carolina Stochastic Empirical Loading and Dilution Model (SELDM) to Assess Potential Impacts of Highway Runoff
Model archive for Assessing long-term annual yields of highway and urban runoff in selected areas of California with the Stochastic Empirical Loading Dilution Model (SELDM)
Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)
Basin characteristics and point locations of road crossings in Connecticut, Massachusetts, and Rhode Island for highway-runoff mitigation analyses using the Stochastic Empirical Loading and Dilution Model
Model archive for analysis of the effects of impervious cover on receiving-water quality with the Stochastic Empirical Loading Dilution Model (SELDM)
Assessing Water Quality from Highway Runoff at Selected Sites in North Carolina with the Stochastic Empirical Loading and Dilution Model (SELDM)
Highway-Runoff Database (HRDB) Version 1.0.0b
Streamflow statistics calculated from daily mean streamflow data collected during water years 19012015 for selected U.S. Geological Survey streamgages
Development of the North Carolina stormwater-treatment decision-support system by using the Stochastic Empirical Loading and Dilution Model (SELDM)
Approaches for assessing flows, concentrations, and loads of highway and urban runoff and receiving-stream stormwater in southern New England with the Stochastic Empirical Loading and Dilution Model (SELDM)
Assessing potential effects of climate change on highway-runoff flows and loads in southern New England by using planning-level space-for-time analyses
Assessing the impact of chloride deicer application in the Siskiyou Pass, southern Oregon
Approaches for assessing long-term annual yields of highway and urban runoff in selected areas of California with the Stochastic Empirical Loading and Dilution Model (SELDM)
Statistical methods for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)
Comparison of SELDM simulated total-phosphorus concentrations with ecological impervious-area criteria
Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the stochastic empirical loading and dilution model
Assessing water quality from highway runoff at selected sites in North Carolina with the Stochastic Empirical Loading and Dilution Model (SELDM)
Simulating runoff quality with the highway-runoff database and the Stochastic Empirical Loading and Dilution Model
User guide for the Massachusetts Sustainable-Yield Estimator (MA SYE—version 2.0) computer program
Methods used to estimate daily streamflow and water availability in the Massachusetts Sustainable-Yield Estimator version 2.0
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Stochastic Empirical Loading and Dilution Model (SELDM) software archive
Best Management Practices Statistical Estimator (BMPSE) Version 1.2.0
InterpretSELDM version 1.0 The Stochastic Empirical Loading and Dilution Model (SELDM) output interpreter
Highway-Runoff Database (HRDB) Version 1.1
Connecticut Streamflow and Sustainable Water Use Estimator (CTSSWUE Version 1.0) application software
Massachusetts Sustainable-Yield Estimator (MASYE) application software (version 2.0)
HyDroDSS: Hydrologic Drought Decision Support System - Software page
SELDM: Stochastic Empirical Loading and Dilution Model - Software page
HRDB: Highway Runoff DataBase - Software page
SWQDM: Surface Water Quality Data Miner - Software page
Data mining and analysis software for USGS NWIS Web streamflow data
KTRLine: Kendall-Theil Robust Line - Software page
Science and Products
Transportation-Related Water Projects in New England
Transportation-Related Water Projects
SELDM: Stochastic Empirical Loading and Dilution Model - Project page
Stochastic Empirical Loading and Dilution Model (SELDM) Transportation Research Board Presentation
National Highway Runoff Water-Quality Data and Methodology Synthesis (NDAMS)
FHWA 1990 "Driscoll" Model Pollutant Loadings and Impacts from Highway Stormwater Runoff
Model Archive for Analysis of Flows, Concentrations, and Loads of Highway and Urban Runoff and Receiving-Stream Stormwater in Southern New England with the Stochastic Empirical Loading and Dilution Model (SELDM)
Application of the North Carolina Stochastic Empirical Loading and Dilution Model (SELDM) to Assess Potential Impacts of Highway Runoff
Model archive for Assessing long-term annual yields of highway and urban runoff in selected areas of California with the Stochastic Empirical Loading Dilution Model (SELDM)
Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)
Basin characteristics and point locations of road crossings in Connecticut, Massachusetts, and Rhode Island for highway-runoff mitigation analyses using the Stochastic Empirical Loading and Dilution Model
Model archive for analysis of the effects of impervious cover on receiving-water quality with the Stochastic Empirical Loading Dilution Model (SELDM)
Assessing Water Quality from Highway Runoff at Selected Sites in North Carolina with the Stochastic Empirical Loading and Dilution Model (SELDM)
Highway-Runoff Database (HRDB) Version 1.0.0b
Streamflow statistics calculated from daily mean streamflow data collected during water years 19012015 for selected U.S. Geological Survey streamgages
Development of the North Carolina stormwater-treatment decision-support system by using the Stochastic Empirical Loading and Dilution Model (SELDM)
Approaches for assessing flows, concentrations, and loads of highway and urban runoff and receiving-stream stormwater in southern New England with the Stochastic Empirical Loading and Dilution Model (SELDM)
Assessing potential effects of climate change on highway-runoff flows and loads in southern New England by using planning-level space-for-time analyses
Assessing the impact of chloride deicer application in the Siskiyou Pass, southern Oregon
Approaches for assessing long-term annual yields of highway and urban runoff in selected areas of California with the Stochastic Empirical Loading and Dilution Model (SELDM)
Statistical methods for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)
Comparison of SELDM simulated total-phosphorus concentrations with ecological impervious-area criteria
Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the stochastic empirical loading and dilution model
Assessing water quality from highway runoff at selected sites in North Carolina with the Stochastic Empirical Loading and Dilution Model (SELDM)
Simulating runoff quality with the highway-runoff database and the Stochastic Empirical Loading and Dilution Model
User guide for the Massachusetts Sustainable-Yield Estimator (MA SYE—version 2.0) computer program
Methods used to estimate daily streamflow and water availability in the Massachusetts Sustainable-Yield Estimator version 2.0
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.