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Article

Application of the Saffir-Simpson Hurricane Wind Scale to Assess Sand Dune Response to Tropical Storms

by
Jean T. Ellis
*,
Michelle E. Harris
,
Mayra A. Román-Rivera
,
J. Brianna Ferguson
,
Peter A. Tereszkiewicz
and
Sean P. McGill
Department of Geography, University of South Carolina, Columbia, SC 29208, USA
*
Author to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2020, 8(9), 670; https://doi.org/10.3390/jmse8090670
Submission received: 24 July 2020 / Revised: 15 August 2020 / Accepted: 18 August 2020 / Published: 1 September 2020
(This article belongs to the Special Issue Beach-Dune System Morphodynamics)
Browse Figures
Versions Notes

Abstract

:
Over one-third of the Earth’s population resides or works within 200 km of the coast. The increasing threat of coastal hazards with predicted climate change will impact many global citizens. Coastal dune systems serve as a natural first line of defense against rising sea levels and coastal storms. This study investigated the volumetric changes of two dune systems on Isle of Palms, South Carolina, USA prior to and following Hurricanes Irma (2017) and Florence (2018), which impacted the island as tropical storms with different characteristics. Irma had relatively high significant wave heights and precipitation, resulting in an average 39% volumetric dune loss. During Florence, a storm where precipitation was low and winds were moderate, net volumetric dune loss averaged 3%. The primary driving force causing dune change during Irma was water (precipitation and storm surge), and during Florence, it was wind (aeolian transport). We suggest that the application of the Saffir-Simpson Hurricane Wind Scale classifications should be reconsidered because different geomorphic responses were measured, despite Irma and Florence both being designated as tropical storms. Site-specific pre- and post-storm studies of the dune morphology and site-specific meteorological measurements of the storm (wind characteristics, storm surge, precipitation) are critically needed.

1. Introduction

Approximately 3.2 billion people either live or work within 200 km of a coastline [1]. Additionally, it is estimated that more than 200 million people are under threat of extreme sea-level events resulting from coastal storms [2]. During these storms, the beach-dune system serves as a natural defense mechanism for the coastline, which is unfortunately threatened worldwide by storm-induced erosion [3]. Dune response to storms is controlled by storm characteristics and the pre-existing dune morphology [4,5,6,7]. Dunes are also weakened from multiple, frequent storm impacts [8,9,10,11]. Maintenance of the dunes is imperative not only to the natural environment, but also to the coastal built environment and surrounding communities that provide provisioning, regulatory, cultural, and support functions [12]. Accordingly, understanding the geomorphic response of dune systems to storm events is vital based on the current population distribution, its anticipated growth, and estimations of more frequent and intensifying tropical cyclones [13].
Dunes are a critical sedimentological component of the beach-dune-bar system [14,15]. Storms can have a range of impacts on the dunes, from minor scarping to major overwash or breach events [16,17]. Foredune height and extent, relative to the tidal stage during the storm event, are controlling factors on dune response [16,18,19], and are also directly related to sediment availability [20,21,22,23]. Individual characteristics of the storm or dune system can affect the observed geomorphic responses. Generally, they are summarized as the relationships between land elevations, water levels, and the stages of rising storm waters [24].
Many studies have been conducted in barrier island dune systems to describe the observations and mechanisms of storm-based erosion (described in [14]), here we highlight those specific to hurricanes. Pre- and post-Dennis (2005) digital elevation models (DEMs) were generated to calculate a 7% volumetric loss along a 2 km long study site along the Florida Panhandle [25]. Following Hurricane Ivan (2004, Florida Panhandle), 70% of the incipient foredunes were destroyed and in several of their field study locations, storm overwash was noted [26]. During Ivan, it was suggested that wave set-up and swash were the significant contributors to overwash processes and dune erosion [27]. Specific to South Carolina, a 25% volumetric loss and a 9% volumetric gain at 14th and 56th Avenues, respectively, was measured on Isle of Palms following Hurricane Hugo (1989) [28]. These surveys were approximately 250 m in shore-perpendicular length (to −1.5 m MSL), and therefore covered the dune, beach, and a portion of the nearshore bar system [28]. Another study investigated Hugo along the coast of South Carolina and concluded there was severe beach and dune erosion [29]. They also found that high and continuous dunes served as a solid barrier to coastal inundation [29].
The Saffir-Simpson scale is the industry standard to classify tropical cyclones formed in the Atlantic and northern Pacific (East of the International Date Line). A form of this scale has been used for a half a century since Saffir aimed to provide a similar estimation to the Richter earthquake magnitude scale for hurricane property damage [30]. Simpson enhanced this concept with storm surge estimates, which resulted in the Saffir-Simpson Hurricane Scale (SSHS) [31]. Despite its pervasive use, the SSHS has received substantial criticisms, including saturation at its higher end and issues related to the ‘hard transitions’ between categories, which then have substantial impacts on decision-makers and/or evacuation orders [32]. Following Hurricane Katrina (2005), many have proposed alternatives to the SSHS that consider adding maximum storm wind velocity, storm size, storm surge, and/or offshore bathymetry [32,33,34]. In response, the original SSHS that considered barometric pressure, storm surge, and maximum sustained wind velocity for 1 min was revised in 2010. The new scale, coined the Saffir-Simpson Hurricane Wind Scale (SSHWS), only considers a 1–5 categorical designation of the hurricane, based on the maximum 1 min sustained wind velocity. Unfortunately, the aforementioned ‘hard transition’ issue between the categories was not rectified. However, the SSHWS is used as an indicator to predict coastal geomorphic change [6].
Scant research has acknowledged that variability of coastal morphologic change is related to and/or explained by SSHWS or its predecessor [16], and additional research is needed. However, it has been demonstrated that the interactions between the shoreline, storm, and subsequent coastal response are complex, and that site-specific studies are needed (e.g., [34]). Therefore, this study reports field-based geomorphic assessments of two dune systems on Isle of Palms, SC, USA, before and after Hurricanes Irma (2017) and Florence (2018). These data are used to determine the storm-based volumetric changes. We also compare these changes to the characteristics of the two tropical storms upon impact with Isle of Palms.

2. Study Area

Isle of Palms (IOP, Figure 1) is a barrier island located 15.5 km northeast of Charleston, SC, USA, and is bordered by Dewees Inlet to the northeast and Breach Inlet to the southwest. It is a drumstick barrier island and a mixed energy coast [35]. The tides are semidiurnal, with an average range of 1.5 m and an average spring tidal range of 2.5 m [36]. Onshore wave heights average 0.6 m, and fine-grained quartz sand transports alongshore from northeast to southwest at average rates of 120,000 m3/yr [37]. The island’s beaches have been altered by humans since the 1970s [38]. Most notably, there were substantial nourishments to the NE portion of the island towards Dewees Inlet (NE of 53rd Avenue, Figure 1) in 2010 and 2018 [38]. The 2018 nourishment cost $13.5 million, spanned ~3.8 km, and comprised 1.282 million m3 of sand [38]. Following hurricanes, it is common on this island to scrape the beach, which is moving sand from the foreshore to the pre-storm foredune line (c.f., [39]).
Historically, the dunes on the SW end of the island had heights that nearly doubled those found in the NE, at approximately 1.5 and 0.7 m, respectively [35]. The NE end of the island was historically described as unstable and erosional, while the SW end was accretional [40]. Accretion in this area was reinforced by alongshore sediment transport patterns [35] and average low wave energy conditions [41]. However, more recently, the island’s SW portion (especially southwest of Site A at Pavilion Drive, Figure 1) is highly erosional (personal observation). There have been high energy events impacting South Carolina annually from 2015–2020. Furthermore, the influence of king tides is increasing (c.f., [39]).
Two dune systems along IOP were investigated. The selected locations are part of a longitudinal study that has been in place since Hurricane Matthew (2016) (c.f., [42]). Both sites are located adjacent to public beach access points, one at Pavilion Drive along Front Beach (Site A; Figure 2a) and a second at 53rd Avenue (Site B; Figure 2b). Site A has higher relative pedestrian foot traffic, with 50–150 m of beach in front of the current setback line, depending on the tidal stage [43]. Site B is a wider beach-dune system with 125–190 m of beach-dune complex between the setback line and waterline [43], depending on the tidal stage. This site receives minimal impact from beachgoers because of its proximity to a private, gated community that is located just NE of the study site and extends to the end of the island. Additional details about the dune characteristics are discussed later.

3. Hurricanes Irma and Florence

This study considers Hurricanes Irma and Florence (Figure 3). At peak intensity, Irma was a Category 5 [44] using the SSHWS. Irma first made landfall on U.S. soil at Cudjoe Key, Florida as a Category 3 storm. It traveled up the Florida peninsula and dissipated over Missouri. Florence was a Category 4 hurricane at its peak intensity according to the SSHWS [45]. Florence made landfall at Wrightsville Beach, North Carolina, approximately 240 km from IOP, as a Category 1 hurricane, using the SSHWS. Tropical storm conditions were measured in South Carolina during Irma and Florence, despite Irma’s eye not traveling into the state [44,45].
Wind and wave data were obtained from the National Oceanic and Atmospheric Administration’s (NOAA) National Data Buoy Center (NDBC) (Station 41004) to temporally encompass the South Carolina-issued hurricane watches for Irma and Florence and the field surveys conducted for this study. The hurricane watches were 30 August 2017 to 12 September 2017 for Irma, and 30 August 2018 to 18 September 2018 for Florence. The field survey protocols are described in Section 3. This NOAA NDBC station is located 73 km southeast of Breach Inlet (Figure 1) and is the closest instrument suite that simultaneously measures wind and waves. NOAA reports a 20 min average significant wave height every hour. Maximum and average 8 s wind gust speeds, measured during 2 min periods, are reported every 10 min from an anemometer 4.1 m above the surface. The maximum wind gust is from the 10 min time interval. All wind and wave data obtained from the NOAA station are averaged to 3 h time blocks for data presentation purposes. Wind and wave data were used to identify possible forcing events, herein defined as >2σ of the hurricane watch temporal duration. The >2σ threshold has been used by other researchers, including those studying dunes at IOP [39,48,49]. Figure 4 shows the NOAA Station 41004 data where the 2σ threshold significant wave heights, wind speeds, and wind gusts during the hurricane watch are denoted by arrows. The temporal duration of the hurricane watch and the date of storm impact on IOP are also noted.
Irma weakened to a tropical storm as it approached the U.S. Southeast. It did not make landfall on the coast of South Carolina, but impacted IOP on 11 September 2017. Mean wind speeds were 7.3 m/s and bidirectional, with peak wind gusts of 30.1 m/s from the NE (Table 1). The Charleston Community Collaborative Rain, Hail & Snow Network (CoCoRaHS) sites recorded an average of 184.25 mm rainfall during the storm [44]. The peak storm surge (storm tide minus the astronomical tide) at the Charleston NOAA National Ocean Service gauge was 1.28 m MHHW [44]. The peak storm tide observed at Charleston Harbor was the third-highest on record at that time, as the storm impacted IOP approximately at high tide [50]. Table 1 provides a summary of storm conditions for Hurricanes Irma and Florence, as they pertain to conditions on, or nearest available to, IOP.
Similarly to Irma, Florence weakened from a hurricane to a tropical storm before impacting IOP on 15 September 2018 when the tides were low. Mean wind speeds were 6.0 m/s (predominantly from the SSW), with peak wind gusts measured at 23.6 m/s that were predominantly from the SSW (NOAA Station 41004; Table 1). Florence was a slow, forward-moving storm along its path. This resulted in large precipitation totals and devastating floods, which were evident in north South Carolina and North Carolina [45]. However, closer to the IOP study site (at the Charleston airport), less rain was measured (31.75 mm) during the storm [45]. The peak storm surge at the NOAA’s National Ocean Service Charleston gauge was 0.45 m MHHW [45].

4. Assessing Dune Change

Field data collection was executed prior to and after each storm at Sites A and B. Pre- and post-Irma data collection was conducted on 7 and 14 September 2017. The pre-hurricane Florence survey took place on 10 September 2018, and the post-Florence survey was conducted on 23 September 2018.
Topographic data were obtained using a Sokkia Series 30R Total Station, which has an instrument accuracy of +/−2 mm. Points were recorded approximately every meter and at geomorphic breaks along shore-perpendicular transects. At Site A, eight transects were spaced 6.5 m apart over a shore parallel length of 44.5 m (Figure 2a). At Site B, ten transects were spaced 5.5 m apart over a shore parallel length of 55 m (Figure 2b). There was an average of 165 points at Site A and an average of 265 points at Site B recorded during each survey. Site B is a wider beach-dune system in the cross-shore and alongshore directions. Benchmarks and the total station locations were established using an X90-OPUS Static GPS receiver that has a +/−5 mm instrument accuracy.
This study focuses on the dunes, however, measurements were also obtained (and presented) for the beach to understand the erosion and accretion of both systems. The onshore extents of Sites A and B are landward of the pre-Hurricane Matthew primary foredune, and are the same baselines that were used by others at the same field sites [42]. The offshore extents of the dunes are defined according to the dune toes, which are dynamic and defined as where there is a distinct change in slope between the dune and backshore. The offshore extents of the beaches are static. The intervening space between the dune toes and the offshore beach lines comprise a narrow zone of the upper backshore that is not inundated by tides. It is recognized that the beach definition used in this paper is not traditional, and it is not the same that is used by others [14,51]. However, there is precedent when studying the same IOP system for using these same beach and dune definitions [42].
The survey points were used to create digital elevation models (DEMs) and DEM-based change maps to estimate beach and dune volumetric change using the above-mentioned beach and dune definitions. DEMs were generated using the ordinary kriging method, with cell and lag sizes of 0.2 m. The semivariogram model was spherical. The average RMSEs for Sites A and B were 0.03 m and 0.02 m, respectively. These averages do not include the Site A post-Irma survey because changing the backsite resulted in an RMSE of 0.15 m. The DEM plane height was −1.0 m for both sites. Normalized DEM volumes were calculated by dividing the post-storm by pre-storm volumes. DEM change maps are valuable to identify regions of erosion and accretion over time, which in this case is pre- to post-storm conditions. However, exact survey points and field notes were used to identify the dune toe line.

5. Results

5.1. Site A Beach-Dune System

Before Hurricane Irma at Site A, the dune system was generally characterized as a foredune that was recovering following Hurricane Matthew (2016) (c.f., [42]). It was a rounded dune ridge with no defined scarp. Vegetation was abundant onshore of the dune crest and portions of the offshore dune slope (Figure 5a–c). Hurricane Irma scarped the dune resulting in a near-vertical slope with exposed roots (Figure 5d–f). The storm deposited beach wrack offshore of the post-storm dune toe (Figure 5d–f). The DEM change map (Figure 6a) shows almost consistent spatial volumetric gain onshore of the post-storm dune toe line. Substantial volumetric loss was observed directly onshore of the pre-storm dune toe line. The lateral onshore dune toe erosion from Irma ranged from 2.0 to 8.5 m. The total range of change from Irma, using a DEM change map was 2.51 m (−1.19 to 1.32 m).
The pre-Florence photographs show that the Irma storm scarp is still present and that slumping occurred during the last year (Figure 5g–i). The details of the intervening time between Irma and Florence are beyond the scope of this paper, but addressed elsewhere (c.f., [42]). Pioneering stabilizing species, such as Hydrocotyle bonariensis, were present along the pre-storm dune toe. The most noticeable geomorphic change post-Hurricane Florence was the depositional lobe at the scarp base (Figure 5j–l). This depositional lobe is best illustrated in Figure 5i,l that compare the pre- and post-storm conditions and show the post-storm vegetation burial. The Florence DEM change map reveals a complex pattern of erosion and deposition ranging from 0.44 to −0.59 m. The post-storm depositional lobe on the NE side of the site (noted above) is captured by the DEM change map (Figure 6b, green box). The DEM change map also reveals erosion along the SW portion of the site. From a quantitative perspective, Site A had a greater loss in dune volume following Irma (28%), compared to the volume loss following Florence that was statistically negligible (Table 2). There was minimal lateral dune toe change when comparing pre- and post-storm conditions, the maximum retreat approximated 0.5 m.

5.2. Site B Beach-Dune System

Before Hurricane Irma at Site B, there was an incipient dune field with new-growth vegetation (Figure 7a,b). Hurricane Irma eroded the offshore portion of the incipient dune field, leaving behind storm wrack (Figure 7c,d). The DEM change map (Figure 8a) confirms the substantial dune erosion. Four shore-parallel incipient foredunes were eliminated, resulting in a maximum of 1.41 m of erosion (Figure 8a, green box). The onshore portion of the study site experienced accretion (up to 0.40 m), with that sand concentrated around a few mounds toward the NE and SE extremes (Figure 8a). Table 2 shows that the normalized volume decreased substantially from 1.00 to 0.41 from the pre- to post-Irma surveys. The onshore, lateral dune retreat from Irma ranged from 12.0 to 20.0 m.
Prior to Florence, the incipient foredune system was visually similar to the pre-Irma condition, with new-growth vegetation present (Figure 7e,f). Field observations and the corresponding photographs (Figure 7g,h) suggested that the site was minimally impacted by Florence. The solitary vegetation patch visible before and after the storm (Figure 7e,g) remained intact. However, the DEM change map (Figure 8b) reveals a complex spatial pattern of volumetric gains and losses. The magnitude of change ranges from 0.10 to –0.54 m, which is substantially smaller compared to the other location and scenarios considered. Table 2 codifies this low magnitude change; the normalized volume was 0.94. The onshore dune toe retreat from Florence was minimal, with an average onshore regression of approximately 1.0 m. The normalized post-storm volume changes at this site were 0.41 for Irma and 0.94 for Florence.

6. Discussion

Hurricanes Irma and Florence impacted the IOP dunes as tropical storms with similar intensities based on SSHWS. However, analysis of the storm characteristics (Table 1 and Figure 4) suggests that the overall system energetics were substantially less for Florence compared to Irma, except for significant wave height (despite the closer geographic proximity of Florence to the field site). For example, during Irma, the maximum and average wind gust was 28% and 24% higher, respectively (Table 1). In addition, the precipitation and storm surge was 574% and 284% higher during Irma (Table 1). Figure 4 strongly suggests that the storm energetics were limited to the duration of Irma and Florence and that no substantial geomorphic changes were likely outside the temporal duration of either storm. These data also exemplify the variability of conditions observed in situ, even within the ‘tropical storm’ classification. Accordingly, even though both systems impacted the IOP dunes as tropical storms (i.e., the same SSHWS designation), Irma and Florence resulted in different geomorphic responses. This suggests that the geomorphic changes resulting from Irma are most indicative of water-based processes and geomorphic changes from Florence are largely related to wind-driven, or aeolian processes. The following paragraphs justify this statement and discuss each storm to highlight the different responses with an emphasis on the relationships between the geomorphic change and the dominant forcing factor(s).
Hurricane Irma impacted IOP at approximately high tide. A substantial amount of rain fell (184 mm, Table 1), which prohibited aeolian transport, despite the high wind speeds (c.f., [52] for review on the negative impact of moisture on aeolian transport potential). Both sites experienced dune erosion and volumetric loss (averaging 39%), with patterns suggestive of rising water levels and associated storm surge. However, the geomorphic response was different at Site A compared to Site B. The scarping at Site A was likely caused by rising water levels, as evidenced by the high angled slopes (Figure 5d–f). At this site, there was extensive dune scarping (up to 8.5 m); this erosion is the main contributor to the minimum DEM value of −1.2 m and a volumetric loss of 18%. At Site B, Irma substantially decreased the total volume of sediment (pre–and post–storm normalized values of 1.00 and 0.41, respectively). The storm-induced erosion was concentrated on four incipient foredunes that decreased in elevation by approximately 1.4 m, from what we believe was the storm surge. The dune toe regressed by up to 20 m. The deposition on the onshore portion of the site was distributed (with a maximum of 0.40 m elevation change) and concentrated to previously low-lying areas. Based on our observations and the associated data analyses, we surmise that during Irma, the IOP dunes were most strongly influenced by storm-associated water damage, which was a combination of high tides, storm surge, and precipitation.
When Hurricane Florence impacted IOP, the tide was low with obliquely onshore winds (SSW dominant and gusts peaking at 23.6 m/s), and precipitation was limited to ~32 mm (Table 1). The post-storm geomorphic response showed that the dune toe line minimally changed at both sites. At Site A, an accumulation of dry sand was observed offshore of the post-storm dune toe (Figure 6b (grey box)), suggesting that aeolian processes were paramount. A visible gap between the scarp and this accumulation of sand (visible on Figure 5l) strongly suggests that the sand source was offshore of the scarp. However, the NE side of the dune scarp (the right side of the DEM) showed evidence of post-storm deposition, which is consistent with onshore winds. Holistic analysis of this site reveals no net volumetric change when comparing pre- and post-storm conditions (normalized volume change of 1.00). Hurricane Florence had minimal impact on Site B. A majority of the post-storm deposition was observed onshore of the dune toe line (within the incipient foredunes), which suggests aeolian transport. We therefore surmise that resulting from Florence, the IOP dunes were most strongly influenced by aeolian transport, which also explains the minimal net geomorphic change.
The immediate morphologic response dunes of IOP, following Irma and Florence, can be compared to other dune systems following hurricanes. At Site B (Irma) the incipient foredunes were devastated, which is similar to the response of the incipient foredunes along the Florida coast after Ivan [26]. Similar to Ivan, we surmise that the Irma damage is largely from water [27]. Hugo is considered the ‘benchmark’ storm of the South Carolina coast because of its devastation to IOP and the entire South Carolina coast [28,29]. A previous study [28] reported beach-dune volumetric changes for ~250 m transects (~10x longer than those in this study). Net erosion and accretion were found along the transects closest to our study sites [28]. The dune volumetric loss reported here was 39% for Irma and 3% for Florence.

7. Conclusions

General assumptions are made about tropical storm intensities and the associated, potential dune damage. For example, the United States Geologic Survey (USGS) Coastal Change Hazards Portal [53] predicts dune damage according to SSHWS. The pre- and post-storm morphologic data (Table 2, Figure 5, Figure 6, Figure 7 and Figure 8) from two dune sites on Isle of Palms, SC related to two tropical storms (Irma and Florence) suggest that the general assumptions are misguided because dramatically different geomorphic responses were measured, and these were the same storm category. Our findings are similar to previous research that concluded that stronger tropical cyclones do not equate with greater morphologic coastal change [16].
The findings from this study reveal that the precipitation-dominant Irma (as observed on IOP), which also had relatively high significant wave heights, and impacted the Island during high tide, resulted in an average 39% volumetric loss of the IOP dunes. During Florence, a storm where precipitation and the tides were low, winds were moderate, and aeolian transport geomorphically impacted the dunes, the net volumetric change was inconsequential (average of 3% volumetric loss). We therefore attest that not only is the magnitude of the tropical storm important, which is summarized by SSHWS, but also the characteristics of the storm, such as wave height, storm surge, wind speed, and precipitation. The latter are not components of SSHWS, but should be in future iterations. In the meantime, the SSHWS should be applied with caution when predicting or characterizing morphologic change of beach-dune systems.
This research emphasizes the importance of not overlooking site-specific geomorphic and meteorological measurements. Florence, because of its slow-forward moving speed, resulted in catastrophic flooding over parts of North and South Carolina (c.f., [54]). However, IOP was spared from this devastation. Interestingly, Irma produced more precipitation on the island in comparison, affirming the need for the site-specific meteorological measurements. We attest that site-specific measurements of coastal topography, wind characteristics, waves, storm surge, and precipitation should be ascertained.
The research presented herein exhibits that when investigating dune morphology immediately prior to, and following storms, generalizations based on the application of the SSHWS classification are over-simplified. Specifically, during Irma, the IOP dunes were most strongly influenced by high tides, storm surge, and precipitation. During Florence, the IOP dunes were most strongly influenced by aeolian transport, which was possible due to adequate wind speeds and minimal precipitation. This research demonstrated that two tropical storms impacting Isle of Palms, SC resulted in systematically different geomorphic impacts to the coastal dune system (Irma = –39%; Florence = –3%). We aspire that future studies will reconsider the application of SSHWS and will include site-specific geomorphic and meteorological measurements, all of which will not only benefit academic research, but also will support and improve coastal management decisions.

Author Contributions

Conceptualization, J.T.E.; methodology, J.T.E., M.A.R.-R.; formal analysis, J.T.E., M.E.H.; field-based data collection, J.T.E., M.A.R.-R., S.P.M., M.E.H., P.A.T., J.B.F; data curation, M.E.H., M.A.R.-R.; writing—original draft preparation, J.T.E.; writing—review and editing, J.T.E.; M.E.H.; M.A.R.-R.; P.A.T.; J.B.F.; S.P.M.; visualization, M.E.H.; J.T.E.; J.B.F.; supervision and project administration, J.T.E. All authors have read and agreed to the published version of the manuscript.

Funding

This research was partially supported by the Department of Geography at the University of South Carolina and HVRI.

Acknowledgments

J.T.E would like to thank IOP Fire Chief Ann Graham, IOP Mayor Jimmy Carroll, and Linda Tucker for their cooperation and support of this research. The research team appreciates the many that helped us in the field: Erika Chin, Holly Gould, April Hiscox, and Alexandria McCombs. J.T.E. and M.E.H. thank ALE and PPC for their unconditional support during this study.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

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Jmse 08 00670 g001 550
Figure 1. Study area located on Isle of Palms, SC, USA. The blue and red dots indicate Site A at Pavilion Drive and Site B at 53rd Avenue, respectively. The inset map shows the location of Isle of Palms within SC (red box). Base imagery obtained from Google Earth from September 2018.
Figure 1. Study area located on Isle of Palms, SC, USA. The blue and red dots indicate Site A at Pavilion Drive and Site B at 53rd Avenue, respectively. The inset map shows the location of Isle of Palms within SC (red box). Base imagery obtained from Google Earth from September 2018.
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Figure 2. Aerial images of (a) Sites A and (b) B. The yellow colored lines show the location of the pedestrian boardwalk at (a) and the 53rd Avenue beach access (b). Google Earth imagery from March 2018.
Figure 2. Aerial images of (a) Sites A and (b) B. The yellow colored lines show the location of the pedestrian boardwalk at (a) and the 53rd Avenue beach access (b). Google Earth imagery from March 2018.
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Figure 3. Hurricanes Irma and Florence path [46,47].
Figure 3. Hurricanes Irma and Florence path [46,47].
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Figure 4. Significant wave heights, wave speeds, and wind gusts during the (a) Irma and (b) Florence study periods.
Figure 4. Significant wave heights, wave speeds, and wind gusts during the (a) Irma and (b) Florence study periods.
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Figure 5. Site A field photographs showing conditions (a–c) pre-Irma, (d–f) post-Irma, (g–i) pre-Florence, and (j–l) post-Florence. Symbology denotes anthropogenic or natural locations that are consistent to more than one photograph.
Figure 5. Site A field photographs showing conditions (a–c) pre-Irma, (d–f) post-Irma, (g–i) pre-Florence, and (j–l) post-Florence. Symbology denotes anthropogenic or natural locations that are consistent to more than one photograph.
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Figure 6. Site A digital elevation models (DEM) change maps for Hurricanes (a) Irma and (b) Florence. The dashed and solid lines show the pre- and post-storm dune toe lines, respectively.
Figure 6. Site A digital elevation models (DEM) change maps for Hurricanes (a) Irma and (b) Florence. The dashed and solid lines show the pre- and post-storm dune toe lines, respectively.
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Figure 7. Site B field photographs showing conditions (a,b) pre-Irma, (c,d) post-Irma, (e,f) pre-Florence, and (g,h) post-Florence. Symbology denotes anthropogenic or natural locations that are consistent to more than one photograph.
Figure 7. Site B field photographs showing conditions (a,b) pre-Irma, (c,d) post-Irma, (e,f) pre-Florence, and (g,h) post-Florence. Symbology denotes anthropogenic or natural locations that are consistent to more than one photograph.
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Figure 8. Site B DEM change maps for Hurricanes (a) Irma and (b) Florence. The dashed and solid lines show the pre- and post-storm dune toe lines, respectively.
Figure 8. Site B DEM change maps for Hurricanes (a) Irma and (b) Florence. The dashed and solid lines show the pre- and post-storm dune toe lines, respectively.
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Table
Table 1. Summary storm conditions during Irma and Florence obtained from the closest instrument(s) to Isle of Palms.
Table 1. Summary storm conditions during Irma and Florence obtained from the closest instrument(s) to Isle of Palms.
IrmaFlorence
SSHWS Tropical stormTropical Storm
Wind Speed (m/s)Average7.3 *6.0 *
2σ8.9 *7.2 *
Wind Gust (m/s)Average9.4 *7.6 *
2σ11.5 *9.0 *
Maximum30.1 *23.6 *
Dominant Storm Wind Direction NE *SSW *
Significant Wave Height (m)Average1.8 *3.1 *
2σ1.3 *1.4 *
Storm Surge (m) MHHW 1.28 °0.45 #
Storm Precipitation Total (mm) 184.25 °31.75 #
* NOAA Station 41004; ° [44]; # [45].
Table
Table 2. Dune volumes (m3 and normalized volumes (nv)) for pre- and post-Irma and Florence for Sites A and B.
Table 2. Dune volumes (m3 and normalized volumes (nv)) for pre- and post-Irma and Florence for Sites A and B.
IrmaFlorence
Pre-Post-Pre-Post-
SITE A
Volume (m3)1762.21437.11488.91482.1
nv1.000.821.001.00
SITE B
Volume (m3)4934.62017.32953.52772.7
nv1.000.411.000.94

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Ellis, J.T.; Harris, M.E.; Román-Rivera, M.A.; Ferguson, J.B.; Tereszkiewicz, P.A.; McGill, S.P. Application of the Saffir-Simpson Hurricane Wind Scale to Assess Sand Dune Response to Tropical Storms. J. Mar. Sci. Eng. 2020, 8, 670. https://doi.org/10.3390/jmse8090670

AMA Style

Ellis JT, Harris ME, Román-Rivera MA, Ferguson JB, Tereszkiewicz PA, McGill SP. Application of the Saffir-Simpson Hurricane Wind Scale to Assess Sand Dune Response to Tropical Storms. Journal of Marine Science and Engineering. 2020; 8(9):670. https://doi.org/10.3390/jmse8090670

Chicago/Turabian Style

Ellis, Jean T., Michelle E. Harris, Mayra A. Román-Rivera, J. Brianna Ferguson, Peter A. Tereszkiewicz, and Sean P. McGill. 2020. "Application of the Saffir-Simpson Hurricane Wind Scale to Assess Sand Dune Response to Tropical Storms" Journal of Marine Science and Engineering 8, no. 9: 670. https://doi.org/10.3390/jmse8090670

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