JWARP  Vol.14 No.7 , July 2022
Mapping Floods of Fenton River, an Ungauged Stream in Connecticut
Abstract: The study describes the modeling of flood events of an ungauged river by using recorded data from a neighboring watershed. The Fenton and Mount Hope Rivers are two tributaries of the Thames River in Northwest Connecticut, New England. The Fenton River was an ungauged stream until 2006, the Mount Hope River has stream discharges measurements since 1940. Due to the lack of discharge measurements in the Fenton River during the XX century, there is a huge uncertainty about the characteristics of past flood events. An analysis was conducted to map the most important floods in the Fenton River around the pump wells of the University of Connecticut (UConn) with simulated peak discharges applying the drainage-area ratio methodology using recorded peak discharges from the Mount Hope River in 1955, 2005 and, 2008. Flood maps of the Fenton River were generated applying a one-dimensional (1D) HEC-RAS model for the 1955, 2005, 2008 events and a simulated 2022 flood. The methodology shows that it is possible to simulate flood maps of past events using a neighboring watershed discharges.
Cite this paper: Stella, J. (2022) Mapping Floods of Fenton River, an Ungauged Stream in Connecticut. Journal of Water Resource and Protection, 14, 531-541. doi: 10.4236/jwarp.2022.147028.

[1]   Langat, P.K., Kumar, L. and Koech, R. (2019) Identification of the Most Suitable Probability Distribution Models for Maximum, Minimum, and Mean Streamflow. Water, 11, 734.

[2]   Bloschl, G. (2016) Predictions in Ungauged Basins—Where Do We Stand? Proceedings of IAHS, 373, 57-60.

[3]   United States Army Corps of Engineers (USACE) (2020).

[4]   United States Geological Survey (USGSa) (2022).

[5]   United States Geological Survey (USGSb) (2022).

[6]   Warner, G.S., Ogden, F.L., Bagtzoglou, A.C. and Parasiewicz, P. (2006) Long-Term Impact Analysis of the University of Connecticut’s Fenton River Water Supply Wells on the Habitat of the Fenton River. University of Connecticut, Storrs, 211.

[7]   Emerson, D.G., Vecchia, A.V. and Dahl, A.L. (2005) Evaluation of Drainage-Area Ratio Method Used to Estimate Streamflow for the Red River of the North Basin, North Dakota and Minnesota. US Department of the Interior, US Geological Survey, 1.

[8]   Bighinatti, S.J. (2005) Investigations of Flow-Duration Curves and Application to Estimating Discharge on Ungauged Streams. Master Thesis, University of Connecticut, Storrs.

[9]   Bridges Report (2022).

[10]   Beavers, M.A. (1994) Floodplain Determination Using HEC-2 and Geographic Information Systems. Master’s Thesis, Department of Civil Engineering, The University of Texas, Austin.

[11]   Pistocchi, A. and Mazzoli, P. (2002) Use of HEC-RAS and HEC-HMS Models with ArcView for Hydrologic Risk Management. International Congress on Environmental Modelling Software, Lugano, June 2002, 138.

[12]   Tate, E. and Maidment, D. (1999) Floodplain Mapping Using HEC-RAS and ArcView GIS. University of Texas, Austin Center for Research in Water Resources, Austin.

[13]   Djokic, D. and Maidment, D.R. (1991) Terrain Analysis for Urban Stormwater Modeling. Hydrological Processes, 5, 115-124.

[14]   Lombard, P.J. and Bent, G.C. (2015) Flood-Inundation Maps for the Deerfield River, Franklin County, Massachusetts, from the Confluence with the Cold River Tributary to the Connecticut River. USGS Scientific Investigations Report 2015-5104.

[15]   Asquith, W.H., Roussel, M.C. and Vrabel, J. (2006) Statewide Analysis of the Drainage-Area Ratio Method for 34 Streamflow Percentile Ranges in Texas. No. 2006-5286, US Geological Survey.

[16]   Nash, J.E. and Sutcliffe, J.V. (1970) River Flow Forecasting through Conceptual Models: Part 1—A Discussion of Principles. Journal of Hydrology, 10, 282-290.

[17]   Stella, J.M. (2021) Applying Weibull Distribution and Low Flow Frequency Curves for Minimum Flow Prediction in an Ungauged Stream in Connecticut, New England. Global Scientific Research in Environmental Science, 1, 1-9

[18]   United States Geological Survey (USGSc) (2022).