Gregory Granato

Gregory Granato is a hydrologist whose 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 Stations's water and waste treatment systems.

Biography

Software (currently supported):

Stochastic Empirical Loading and Dilution Model (SELDM)  Report on-line  Software support page 

KTRLine: Kendall-Theil Robust Line Report on-line Software support page

Streamflow data mining and analysis software (GNWISQ, MkPP, SREF, QSTATS, and MkDF) Report on line Software support page 

Highway-Runoff Database Report on line Software support page 

Hydrologic Drought Decision Support System (HyDroDSS) Report and software on-line

Patents:

Granato, G.E. and Smith, K.P., 2000, Automated Groundwater Monitoring System and Method: Washington D.C., U.S. Government Patent and Trademark Office, United States Patent 6,021,664, 31 p. Available on-line

Smith, K.P. and Granato; G.E., 2005, Automated self-calibrating water quality monitoring sensor housing assembly: Washington D.C., U.S. Government Patent and Trademark Office, United States Patent 6,936,156, 9 p. Available on-line

Publications:

U.S. Geological Survey Techniques and Methods Reports:

Granato, G.E., 2013, Stochastic empirical loading and dilution model (SELDM) version 1.0.0: U.S. Geological Survey Techniques and Methods, book 4, chap. C3, 112 p., CD–ROM. (Also available at .) Report On-Line Note: SELDM is now on version 1.0.1 Please use the new version on the software support page here: Software Support Page

Granato, G.E., 2006, Kendall-Theil Robust Line (KTRLine--version 1.0)—A visual basic program for calculating and graphing robust nonparametric estimates of linear-regression coefficients between two continuous variables: Techniques and Methods of the U.S. Geological Survey, book 4, chap. A7, 31 p. Report On-Line Software On-Line Software Support Page

Kiang, Julie E., Flynn, Kate, Hummel, Paul, Zhai, Tong, and Granato, G.E., 2017, SWToolbox: A Surface Water Toolbox for Statistical Analysis of Streamflow Time Series:  U.S. Geological Survey Techniques and Methods, book 4, chap. A11

Journal Articles:

Granato, G.E., and Jones, S.C., 2019, Simulating runoff quality with the Highway Runoff Database and the Stochastic Empirical Loading and Dilution Model: Transportation Research Record, Journal of the Transportation Research Board, 7 p.  https://doi.org/10.1177/0361198118822821

Stonewall, A.J., Granato, G.E., and Haluska, T.L., 2018, Assessing roadway contributions to stormwater flows, concentrations and loads by using the StreamStats application: Transportation Research Record, Journal of the Transportation Research Board, 9 p. https://doi.org/10.1177/0361198118758679

Granato, G.E., and Jones, S.C., 2017, Estimating Total Maximum Daily Loads with the Stochastic Empirical Loading and Dilution Model: Transportation Research Record, Journal of the Transportation Research Board, No. 2638, p. 104-112. https://doi.org/10.3141/2638-12

Granato, G.E., and Jones, S.C., 2014, Stochastic Empirical Loading and Dilution Model for analysis of flows, concentrations, and loads of highway runoff constituents: Transportation Research Record, Journal of the Transportation Research Board, No. 2436, p. 139-147. http://doi.org/10.3141/2436-14

Eng, K., Kiang, J.E., Chen, Y.-Y., Carlisle, D.M. and Granato, G.E., 2011, Causes of systematic over- or underestimation of low streamflows by use of index-streamgage approaches in the United States: Hydrological Processes, v. 25, pp. 2211–2220  http://dx.doi.org/10.1002/hyp.7976

Granato, G.E., and Smith, K.P., 1999, Robowell: An automated process for monitoring groundwater quality using established sampling protocols. Groundwater Monitoring and Remediation, v. 19, no. 4,  p. 81-89. http://dx.doi.org/10.1111/j.1745-6592.1999.tb00243.x

Granato, G.E., 1996, Deicing chemicals as a source of constituents in highway runoff. Transportation Research Record 1533, Transportation Research Board, National Research Council, Washington D.C., p. 50-58. https://doi.org/10.3141/1533-08

Church, P.E., and Granato, G.E., 1996, Bias in groundwater data caused by well-bore flow in long-screen wells: Groundwater, Vol. 34, No. 2, p. 262-273. http://dx.doi.org/10.1111/j.1745-6584.1996.tb01886.x

Granato, G.E., Church, P.E., and Stone V.J., 1995, Mobilization of Major and Trace Constituents of Highway Runoff in Groundwater Potentially Caused by Deicing-Chemical Migration, Transportation Research Record 1483, Transportation Research Board, National Research Council, Washington D.C.,  p. 92-104.

and 41 other USGS Publications (Scholar) (USGS Pubs warehouse)...

USGS National Training Center Classes:

H1843 - Stormwater Runoff Quality Analysis with the Stochastic Empirical Loading and Dilution Model Developed and taught this class in MA(2013), DC(2014), OR (2014), CO (2015), TX (2016), CA(2017), NV (2017), and OR (2018).

National Webinars:

Water Research Foundation Integrated Stormwater Management for Highway and Transportation Sector (2017)

National Academies of Sciences, Engineering, and Medicine; Transportation Research Board Use and Implementation of the Federal Highway Administration Stochastic Empirical Loading and Dilution Model (SELDM): Oregon and Massachusetts

Other research activities:

National Academies of Sciences, Engineering, and Medicine; Transportation Research Board Standing Committees

AFB 60 Standing Committee on Hydrology, Hydraulics and Water Quality, Full Member

AFB 65 Standing Committee on Stormwater, Full Member

National Academies of Sciences, Engineering, and Medicine; National Cooperative Highway Research Program Research Panels

Project NCHRP 25-25 Research for the AASHTO Committee on Environment and Sustainability, Task 119 and 120 Enhancing the International Stormwater BMP Database to Serve as a Highway Specific BMP Database

Project NCHRP 25-31 Guidelines for Evaluating and Selecting Modifications to Existing Roadway Drainage Infrastructure to Improve Water Quality in Ultra-Urban Areas

Project NCHRP 25-32 Measuring and Removing Dissolved Metals from Storm Water in Highly Urbanized Areas

Project NCHRP 25-40 Long-Term Performance and Life-Cycle Costs of Stormwater Best Management Practices

Project NCHRP 25-53 Approaches for Determining and Complying with TMDL Requirements Related to Roadway Stormwater Runoff

American Society of Civil Engineers Outstanding Reviewer Prize: Reston, 2015 (Journal of Environmental Engineering)