scholarly journals An examination of extreme floods, effects on land-use change and seasonality in the Lower St. Johns River Basin, Florida using HSPF and statistical methods

Author(s):  
Samantha Kovalenko ◽  
Christopher James Brown ◽  
Cigdem Akan ◽  
Alexandra Schonning

Abstract As population growth and urbanization are steadily rising, the need for dependable flood estimation techniques is crucial. This study evaluates extreme flood events in select sub-basins of the Lower St. Johns River in Florida, USA. The study summarizes work of a recent thesis and combines that work with new research regarding the effect of urbanization on the natural hydrologic processes and flood magnitudes in the watershed. Additionally, the effects of varying seasonality into the hydrologic modeling procedure are also investigated. This research focuses on determining the 10-, 25-, 50-, and 100-year return frequency flood flows in Julington Creek, Ortega River, and Pablo Creek of the Lower St. Johns River Basin in Florida, USA. The major findings of this research indicate that by implementing a range of flood estimation methods one can better describe the inherent uncertainty with traditional estimates. Also, the research showed that varying seasonality in the hydrologic modeling procedure does not result in vast differences in the resulting flood estimates. However, various land-use scenarios may produce simulated flood flows of greater magnitude – especially when a more urbanized land-use scenario is modeled.

Water ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1711 ◽  
Author(s):  
Franciane Mendonça dos Santos ◽  
Rodrigo Proença de Oliveira ◽  
José Augusto Di Lollo

The Soil and Water Assessment Tool (SWAT) is often used to evaluate the impacts of different land use scenarios on streamflow and sediment yield, but there is a need for some clear recommendations on how to select the parameter set that defines a given land use scenario and on what is the most appropriate methodology to change the selected parameters when describing possible future conditions. This paper reviews the SWAT formulation to identify the parameters that depend on the land use, performs a sensitivity analysis to determine the ones with larger impacts on the model results and discusses ways to consider future land use conditions. The case study is the Atibaia river basin, with 2838 km2 (São Paulo, Brazil). The parameters identified by sensitivity analysis with the largest impacts on streamflow and sediment yield were the initial curve number for moisture condition II (CN), maximum canopy storage for each land use (CANMX) and the cover and management factor (USLE_C). The identification and appropriate parameter change can provide real estimates of the magnitudes in the land use changes, which were verified in this study. Such information can be used as an instrument for proposing improvements in the basin’s environmental quality and management.


CERNE ◽  
2011 ◽  
Vol 17 (4) ◽  
pp. 481-488 ◽  
Author(s):  
Matheus Fonseca Durães ◽  
Carlos Rogério de Mello ◽  
Mauro Naghettini

The SWAT model (Soil and Water Assessment Tool) was applied for simulating the hydrologic pattern of Paraopeba river basin, in Minas Gerais state, under different land use and occupation scenarios, looking to support basin management actions. The model parameters were calibrated and validated, with respect to the data observed from 1983 to 2005. The basin was assessed at the 'Porto do Mesquita' gauging station and change in land use and occupation was based on the annual growth scenarios proposed in the partial report of Paraopeba basin's master plan. The model was found to be highly sensitive to baseflow, its main calibration variable. Statistical analyses produced a Nash-Sutcliffe coefficient above 0.75, which is considered good and acceptable. The SWAT model provided satisfactory results in simulating hydrologic pattern under different scenarios of land use change, demonstrating that it can be applied for forecasting discharge in the aforesaid basin. The current land use scenario provided a peak discharge simulation of 1250 m³ s-1, while in years 2019 and 2029 peak discharge simulations were 1190 m³ s-1 and 1230 m³ s-1 respectively. The 2019 scenario provided the best results with respect to baseflow increase and peak discharge reduction.


Author(s):  
Tanja N. Williamson ◽  
Jeremiah G. Lant ◽  
Peter R. Claggett ◽  
Elizabeth A. Nystrom ◽  
Paul C.D. Milly ◽  
...  

2017 ◽  
Author(s):  
Mohammad Iqbal ◽  
◽  
Tara N. Bhattarai ◽  
Chad Heinzel ◽  
Sushil Tuladhar

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