scholarly journals Dynamic Modeling of Surface Runoff and Storm Surge during Hurricane and Tropical Storm Events

Hydrology ◽  
2018 ◽  
Vol 5 (1) ◽  
pp. 13 ◽  
Author(s):  
Walter Silva-Araya ◽  
Félix Santiago-Collazo ◽  
Juan Gonzalez-Lopez ◽  
Javier Maldonado-Maldonado
Keyword(s):  
Storm Surge ◽  
Dynamic Modeling ◽  
Surface Runoff ◽  
Tropical Storm ◽  
Storm Events

scholarly journals Dynamic modeling of barrier island response to hurricane storm surge under future sea level rise

2018 ◽  
Vol 149 (3-4) ◽  
pp. 413-425 ◽  
Author(s):  
Davina L. Passeri ◽  
Matthew V. Bilskie ◽  
Nathaniel G. Plant ◽  
Joseph W. Long ◽  
Scott C. Hagen
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Storm Surge ◽  
Dynamic Modeling ◽  
Barrier Island ◽  
Hurricane Storm Surge

Combining  concentration-discharge hysteresis and reach-scale lateral flow modelling to characterize flood water origin and processes: application to karst catchments

2021 ◽  
Author(s):  
Martin Le Mesnil ◽  
Jean-Baptiste Charlier ◽  
Roger Moussa ◽  
Yvan Caballero
Keyword(s):  
Surface Runoff ◽  
Hysteresis Loops ◽  
Hydrological Processes ◽  
Storm Events ◽  
New Classification ◽  
Catchment Scale ◽  
Saturation State ◽  
Relationship Analysis ◽  
Water Origin

<p>We propose a data-driven approach of concentration-discharge (C-Q) relationship analysis, including a new classification of C-Q hysteresis loop at the catchment scale, combined to a simulation of lateral Q and C at the reach scale. We analyse high-frequency, multiple-site records of Q and electrical conductivity (EC) in karst catchment outlets, in which EC informs on water residence time. At the catchment scale, contributions of pre-event water (PEW) and event water (EW) during storm events are investigated through hysteresis loops analysis, which allows inferring hydrological processes. Our new classification of hysteresis loops is based on loop mean slope and hysteresis index. At the reach scale, lateral Q and EC are simulated using a diffusive wave equation model, providing a more spatialized picture of PEW and EW contributions to streamflow during storm events. The methodology is applied to two catchments (Loue river and Cèze river) in France, including 8 gauging stations with hourly Q and EC time series covering 66 storm events.</p><p>For both catchments, a conceptual model of water origin and hydrological-processes seasonal and spatial variability is drawn. Regarding Loue catchment, summer and fall storm-events are characterized by contribution of PEW through piston-type flows, whereas decreasing EC values in winter and spring storm-events indicate the major contribution of EW through surface runoff and following fast infiltration in karst. EW contribution is increasing towards downstream. Regarding Cèze catchment, higher contributions of EW are observed, indicating that fast infiltration and surface runoff are the dominant processes, associated to a PEW signature in summer and fall. PEW contribution also increases in karstified areas. Intra-site water origin seasonality is mostly related to karst aquifer saturation state, whereas inter-site variability is linked to karst areas extension. These results are encouraging to extend this approach to a variety of sites, notably influenced by important surface water/groundwater interactions, and groundwater flooding.</p>

Estimating medically fragile population in storm surge zones: A geographic information system application

2017 ◽  
Vol 11 (1) ◽  
pp. 9 ◽  
Author(s):  
James L. Wilson, PhD ◽  
Ruth Little, MPH ◽  
Lloyd Novick, MD, MPH
Keyword(s):  
At Risk ◽  
Information System ◽  
Geographic Information System ◽  
Emergency Management ◽  
Storm Surge ◽  
Geographic Distribution ◽  
Geographic Information ◽  
Tropical Storm ◽  
Chronic Obstructive ◽  
Medically Fragile

Objective: To develop a simple, cost-effective method for determining the size and geographic distribution of medically fragile (MF) individuals at risk from tropical storm surges for use by emergency management planners.Design: The study used Geographic Information System (GIS) spatially referenced layers based on secondary data sources from both state and federal levels. Setting: The study setting included the eastern North Carolina coastal counties that would be affected by tropical storm surges.Subjects: The initial MF population was extrapolated from national estimates for five conditions and then applied to US Census block population. These conditions included insulin dependent diabetes, chronic obstructive pulmonary disease, congestive heart failure, end stage renal disease, and patients receiving long-term oxygen treatment.Main outcomes: The main outcome of this study was a series of local and regional maps that portrayed the geographic distribution and estimated counts of potentially at-risk MF population from a tropical storm surge scenario.Conclusions: Maps depicting the geographic distribution and potential numbers of MF individuals are important information for planning and preparedness in emergency management and potentially engaging the public.

Wave Effects on the Storm Surge Simulation: A Case Study of Typhoon Khanun

2016 ◽  
Vol 11 (5) ◽  
pp. 964-972 ◽  
Author(s):  
Fuchun Lai ◽  
◽  
Luying Liu ◽  
Haijiang Liu ◽  
◽  
...  
Keyword(s):  
Storm Surge ◽  
Flow Model ◽  
Coupled Model ◽  
Wave Model ◽  
Model Tests ◽  
Storm Events ◽  
Wave Effects ◽  
Near Shore ◽  
Wave Induced ◽  
Surge Height

To study wave effects on storm surge, a depth-averaged 2D numerical model based on the Delft3D-FLOW model was utilized to simulate near-shore hydrodynamic responses to Typhoon Khanun. The Delft3D-WAVE model is coupled dynamically with the FLOW model and the enhanced vertical mixing, mass flux and wave set-up were considered as wave-current interaction in the coupled model. After verifying storm surge wind and pressure formulae of storm surge and optimizing calibration parameters, three numerical tests with different control variables were conducted. Model tests show that wave effects must be considered in numerical simulation. Simulating the flow-wave coupled model showed that wave-induced surge height could be as large as 0.4 m in near-shore areas for Typhoon Khanun. Comparing to its contribution to the peak surge height, wave-induced surge plays a more significant role to total surge height with respect to the time-averaged surge height in storm events. Wave-induced surge (wave setup) is in advance of typhoon propagation and becomes significant even before the typhoon landfall. Model tests demonstrate that the wave effects are driven predominantly by the storm wave, while the boundary wave contribution is rather limited.

scholarly journals A Fiscally Based Scale for Tropical Cyclone Storm Surge

2018 ◽  
Vol 33 (6) ◽  
pp. 1709-1723 ◽  
Author(s):  
Amanda M. Walker ◽  
David W. Titley ◽  
Michael E. Mann ◽  
Raymond G. Najjar ◽  
Sonya K. Miller
Keyword(s):  
Hurricane Katrina ◽  
Storm Surge ◽  
Model Simulation ◽  
Circulation Model ◽  
Storm Events ◽  
Maximum Water ◽  
Per Capita ◽  
Loss Method ◽  
Statistical Mode ◽  
Capita Personal Income

Abstract Categorization of storm surge with the Saffir–Simpson hurricane scale has been a useful means of communicating potential impacts for decades. However, storm surge was removed from this scale following Hurricane Katrina (2005), leaving no scale-based method for storm surge risk communication despite its significant impacts on life and property. This study seeks to create a new, theoretical storm surge scale based on fiscal damage for effective risk analysis. Advanced Circulation model simulation output data of maximum water height and velocity were obtained for four storms: Hurricane Katrina, Hurricane Gustav, Hurricane Ike, and Superstorm Sandy. Four countywide fiscal loss methods were then considered. The first three use National Centers for Environmental Information Storm Events Database (SED) property damages and Bureau of Economic Analysis (BEA) population, per capita personal income, or total income. The fourth uses National Flood Insurance Program total insured coverage and paid claims. Initial correlations indicated the statistical mode of storm surge data above the 90th percentile was most skillful; this metric was therefore chosen to represent countywide storm surge. Multiple linear regression assessed the most skillful combination of storm surge variables (height and velocity) and fiscal loss method (SED property damages and BEA population, i.e., loss per capita), and defined the proposed scale, named the Kuykendall scale. Comparison with the four storms’ actual losses shows skillful performance, notably a 20% skill increase over surge height-only approaches. The Kuykendall scale demonstrates promise for skillful future storm surge risk assessment in the analytical, academic, and operational domains.

Dynamic Modeling of Storm Surge and Inland Flooding in a Texas Coastal Floodplain

2011 ◽  
Vol 137 (10) ◽  
pp. 1103-1110 ◽  
Author(s):  
Tyler Ray ◽  
Emilia Stepinski ◽  
Antonia Sebastian ◽  
Philip B. Bedient
Keyword(s):  
Storm Surge ◽  
Dynamic Modeling ◽  
Inland Flooding

scholarly journals Threshold effects in catchment storm response and the occurrence and magnitude of flood events: implications for flood frequency

2007 ◽  
Vol 11 (4) ◽  
pp. 1515-1528 ◽  
Author(s):  
D. I. Kusumastuti ◽  
I. Struthers ◽  
M. Sivapalan ◽  
D. A. Reynolds
Keyword(s):  
Surface Runoff ◽  
Rainfall Variability ◽  
Temporal Frequency ◽  
Flood Frequency ◽  
Storm Events ◽  
Rainfall Runoff ◽  
Runoff Generation ◽  
Frequency Curve ◽  
Generation Mechanisms ◽  
Frequency Curves

Abstract. The aim of this paper is to illustrate the effects of selected catchment storage thresholds upon runoff behaviour, and specifically their impact upon flood frequency. The analysis is carried out with the use of a stochastic rainfall model, incorporating rainfall variability at intra-event, inter-event and seasonal timescales, as well as infrequent summer tropical cyclones, coupled with deterministic rainfall-runoff models that incorporate runoff generation by both saturation excess and subsurface stormflow mechanisms. Changing runoff generation mechanisms (i.e. from subsurface flow to surface runoff) associated with a given threshold (i.e. saturation storage capacity) is shown to be manifested in the flood frequency curve as a break in slope. It is observed that the inclusion of infrequent summer storm events increases the temporal frequency occurrence and magnitude of surface runoff events, in this way contributing to steeper flood frequency curves, and an additional break in the slope of the flood frequency curve. The results of this study highlight the importance of thresholds on flood frequency, and provide insights into the complex interactions between rainfall variability and threshold nonlinearities in the rainfall-runoff process, which are shown to have a significant impact on the resulting flood frequency curves.

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