Journal Journalof ofCoastal CoastalResearch Research SI 64 pg -- pg 1891 1895 ICS2011 ICS2011 (Proceedings) Poland ISSN 0749-0208 An application of Dolan and Davis (1992) classification to coastal storms in SW Spanish littoral N. Rangel-Buitrago† and G. Anfuso† †Departamento de Ciencias de la Tierra. Facultad de Ciencias del Mar y Ambientales. Polígono Río San Pedro s/n, 11510 Puerto Real (Cádiz), Spain. E-mail: [email protected] [email protected] ABSTRACT RANGEL-BUITRAGO, N. and ANFUSO, G., 2011. An application of Dolan and Davis (1992) classification to coastal storms in SW Spanish littoral. Journal of Coastal Research, SI 64 (Proceedings of the 11th International Coastal Symposium), – . Szczecin, Poland, ISBN 0749-0208. Classification schemes for distinct meteorological and climatic phenomena, provide beneficial information useful in evaluating their impacts on socio-economic activities and natural habitats. This work deals with storm classification in the Atlantic side of Andalusia Region (SW Spain) for the 1958-2001 period, by means of the index of Dolan and Davis (1992). Wave data from January 1958 to November 2001 were obtained from five prediction locations (Huelva, Chipiona, Cadiz, Conil and Bolonia) of the HIPOCAS network. The Dolan and Davis (1992) Storm Power Index was used to classify coastal storms into five classes, from weak to extreme. The Index was calculated according to the formulation Hs2td, with Hs being the significant wave height and td the storm duration in hours. Huelva and Chipiona locations respectively recorded 137 and 189 storms, Cadiz and Conil respectively recorded 377 and 369 storms approaching from the third (mostly) and secondarily from the forth quadrant. Bolonia location recorded most elevated number of storms (422), they approached principally from the third quadrant (303 events) and secondarily from the second (59) and forth (60) quadrants. The distribution of storm classes was very similar at all locations. Classes I (weak) and II (moderate) respectively accounted for 60% and 23% of events included in the data set. Class III (significant), recorded 10% of the events and Classes IV (severe) and V (extreme) accounted for 5% and 2%, respectively. Return period for Class V events ranged from 2 to 12 yrs, with average values of 7-8 years and values from 1 to 3 yrs were observed for Classes I to IV. Preliminary analysis on beach morphological changes and coastal structures damage pointed out as in autumn important beach morphological changes were associated with the impact of Classes I to II events which easily eroded well developed steep summer beach profiles. In winter, successive energetic events (Classes III to V) produced less significant beach changes, because beaches already showed dissipative profiles, but heavily impacted on dunes and coastal structures. ADDITIONAL INDEX WORDS: Storms, Power Index, Erosion, Cadiz, Spain. INTRODUCTION Over the past decades several great storms and hurricanes have caused important economic losses and scores of deaths along the coastlines of the world (Bacon and Carter, 1991). Environmental and economic impacts of aforementioned events will be significant in future years because coastal development is continually expanding and the climate change, which predicts an increase of mean sea level and extreme storm surge events (Brown and McLachlan, 2002; Phillips and Crisp, 2010). In this sense, there is a need to characterize wave climate and especially storms, in a way that accounts for their temporal patterns and characteristics. For the past 40 years, coastal scientists and the general public have used the Saffir-Simpson Scale to compare tropical cyclones. Concerning winter storms, several indexes have been proposed. Allen (1981) proposed a storm index based on prevailing onshore wind velocity which reflects storm energy. Halsey (1986) proposed a ranking for Northeast Atlantic coastal storms (northeasters or nor’easters) into five classes based on a damage potential index. Dolan and Davis (1992) used an index based on wave height and storm duration, discriminating 1,347 nor’easters in 5 classes ranging from weak to extreme. Orford et al. (1992) and Orford and Carter (1995) partially incorporated the role of storm tides in a new storm index. Zhang et al. (2001) proposed a storm erosion potential index which took into account storm tides, wave energy and duration, this way reflecting the erosion potential of large storms. Concerning recent studies on the Spanish coasts, Rodríguez et al. (2003), Menéndez et al. (2004), Mendoza and Jimenez (2008) and Mosso et al. (2009) characterized wave height extreme values and recent storm distribution in Huelva area and the Mediterranean coast. The present work deals with storm classification in the Atlantic side of the Andalusia Region for the 1958-2001 period, by means of the index of Dolan and Davis (1992). STUDY AREA Investigated littoral is located in the Gulf of Cadiz and faces the Atlantic Ocean on the southwest coast of Spain. From an Journal of Coastal Research, Special Issue 64, 2011 1891 Storm Impacts administrative point of view it belongs to the Andalusia Region and includes Huelva and Cadiz Provinces (Figure 1). Region in nourishment works during the 1990s was 18 millions of US $, which allowed the injection of about 23 millions of cubic meters of sediments (Muñoz et al., 2001). METHODS Wave data from January 1958 to November 2001 were obtained from five prediction locations (Huelva, Chipiona, Cadiz, Conil and Bolonia, Figure 1) of the HIPOCAS network, an atmospheric hindcast performed in the Atlantic Ocean and Mediterranean Sea with horizontal resolution of about 20 km. Each one of the used time series contains 128,518 data collected with a frequency of 3 hours. The Dolan and Davis (1992) Storm Power Index was used to classify coastal storms. The Index was calculated according to the formulation: ∫ Hs Figure 1. Study area with location of the five used locations of the HIPOCAS network. The area corresponds with 230 km of a coastline broadly northwest – southeast oriented and characterized by a great diversity of coastal landforms and environments including sand spits, beaches, dunes, saltmarshes, cliffs and rocky-shore platforms. Most beaches are composed by fine-medium sand essentially consisting of quartz and carbonates. Dune ridges and rapidly migrating dunes are respectively observed in the southern part of Huelva Province and close to Gibraltar Strait. Cliffed sectors are essentially developed in the southern part of Cadiz Province. The area includes mesotidal (Huelva Province and central and northern part of Cadiz Province) and microtidal southern part of Cadiz Province), semidiurnal environments. The littoral is affected by western and eastern winds. Western winds are related to Atlantic low pressure systems and blow from WNW to WSW directions with a mean annual velocity of 16 km/h and a frequency of 13%. East winds, blowing from E to SE directions, with an annual frequency of 20% and a mean velocity of 28 km/h, are originally formed in the Mediterranean Sea and greatly increase their velocity because canalized through the Gibraltar Strait. Due to coastline orientation, western winds give rise to both sea-type and swell waves and eastern winds have no important fetch giving principally rise to sea waves; main longshore drift flows south-eastward. In the investigated area, winter storms constitute diffuse and weak low Atlantic pressure systems and can continue for several days and affect large areas, producing severe damages to coastal structures and erosion of beaches and dunes. In fact, the area is characterized by extensive sandy beaches of great tourism interest that, in the past decade, have undergone important erosion with locally recorded values greater than 1 myr-1, essentially associated with storm events. Since 1983, more than 600 fills and refills have been performed along the Spanish coast. In Cadiz and Huelva Provinces, numerous tourist beaches were nourished during the past decade with the aim of balancing coastal retreat trends and, especially, of making beaches more attractive by enlarging dry beach width. Investment in the Atlantic face of Andalucía 2 td (1) with Hs, being the significant wave height and td the storm duration in hours. Calculations were carried out considering a threshold of 2.5 m because it represented rare events with only 10% of total wave heights in the 44 years (following the methodology of Dorsch et al., 2008) and it reflected the wave height at which erosion started to affect Cadiz beaches according to ongoing studies based on accurate 3D beach surveys (Plomaritis et al., 2009, Del Rio et al., 2010). Taking into account that tide in the investigated area is semidiurnal, the minimum storm duration was fixed in 12 hours - in this way the storm affected coast at least during a complete tidal cycle. Concerning the interstorm period, it was arbitrarily set at 1 day in order to create a set of declustered, independent storm events (Morton et al., 1997; Dorsch et al., 2008). Once storms were recognized and characterized, five different classes were obtained by means of the natural breaks function (Jenks and Caspall, 1971) that determines the best arrangement of values into classes by iteratively comparing the sum of squared differences among observed values within each class and class average values. Frequency analysis was applied to estimate storm power return periods. This was calculated using the Generalized Extreme Value (GEV) distribution (An and Pandy, 2005; Rajabi and Modares, 2008) according to the formulation: F ( x) = exp{− exp[−( x − u ) / α ]1 / k } (2) Where x is the random variable and u, α and k are respectively location, scale and shape parameters that should be estimated for each sample. For k= 0, equation (2) reduces to an extreme value corresponding to the Type I (or Gumbel) distribution; with k>0, equation acquires an extreme value corresponding to the Type III (or Weibull) distribution and when k<0, it acquires an extreme value, i.e. Type II. Extreme value Type I (Gumbel) distribution is: F ( x) = exp{− exp[−( x − u ) / α ] } (3) Methods concerning parameter estimation for each distribution are discussed in details in Rao and Hammed (2000). The maximum likelihood and the method of moments were used in this work to estimate distribution of parameters. Journal of Coastal Research, Special Issue 64, 2011 1892 Rangel-Buitrago and Anfuso RESULTS AND DISCUSSION Storm Determination and Characteristics A total amount of 1,494 events was determined following the use of the Storm Power Index (Dolan and Davis 1992). Concerning the obtained results at the five investigated locations, important differences in the number and approaching directions of storms can be highlighted. Huelva and Chipiona locations respectively recorded 137 and 189 storms approaching from the third quadrant, Cadiz and Conil respectively recorded 377 and 369 storms approaching from the third (mostly) and secondarily from the forth quadrant, with very few events approaching from the second quadrant. Bolonia location recorded most elevated number of storms (422), they approached principally from the third quadrant (303 events) and secondarily from the second and forth quadrants, respectively with 59 and 60 events. Distribution of storm events presented a clear log-normal trend and was divided, using the natural breaks (Jenks and Caspall, 1971), into five classes (Figure 2), i.e. Class I (weak), Class II (moderate), Class III (significant), Class IV (severe) and Class V (extreme). Figure 2. Storm classes obtained for Bolonia locations using the natural beaks function of Jenks and Caspall (1971). Distribution of storm classes was very similar at all locations (Figure 3). Classes I (weak) and II (moderate) respectively accounted for 60% and 23% of events included in the data set. Class III (significant), recorded 10% of the events and Classes IV (severe) and V (extreme) accounted for 5% and 2%, respectively. Average wave height and storm duration values presented important variations, wave period presenting more constant values from 6.3 (Class I) to 9.8 (Class V). Dealing with monthly distribution, Class I events were observed during all the year (but July and August), Classes II and III from October to March-May and Classes IV and V from November to February, with maximum values in December (Class V) and January (Class IV). Distribution of number of storms and extreme events (i.e., maximum values of wave height and storm power) per year were determined. An elevated number of storms (≥ 9) were recorded in 1963 and 1996. Wave height values greater than 6.6 m (corresponding to Class V events) were recorded in 1958, 1966, 1973, 1977, 1981, 1982, 1989 and 2000. Figure 3. Storm class distribution at studied locations. Storm power values associated with Class V (extreme) events were recorded in 1958, 1966, 1970, 1979, 1981, 1989, 1996 and 2000, while an elevated storm duration (≥ 150 hr) of Class V events was recorded in 1958, 1970, 1979 and 1996. A good correspondence was observed between previous data and results obtained for Huelva littoral by Rodríguez et al. (2003) which identified for the 1956-1996 interval, eight main stormy periods. Seven of them coincided with years of high storm power values (≥ 3,000 m2hr, Class IV) and five with years characterized by a great number of storms (≥ 9). The six calm periods recorded by Rodríguez et al. (2003) coincided with years of low storm power values. In a further step, storm trend during the 1958-2001 period was analyzed following Komar and Allan (2008) which stated that records between 25 to 35 years have sufficient lengths to permit analyses of potential trends of increasing wave heights, presence of climate-controlled cycles or annual variations due to climate events. Maximum values of storm power presented a cyclic behavior more than a defined trend. Average values of recurrence period for Class V events at five studied locations, ranged from 2 to 12 yrs, with mean values of 7-8 yrs (Figure 4). Similar values were obtained using the Gumbel method and were in accordance with the 6-7 year recurrence period for most important storms proposed for Cadiz and Huelva areas by Rodriguez et al. (2003) and Muñoz and Enríquez (1998). Classes I to IV showed a period of recurrence ranging from 1 to 3 yrs. Storm occurrence probability was 98% for Class I (i.e. almost 1 event per year) to 16% for Class V (Figure 4). Stormy years were characterized by Classes III to V events and numerous storms which summed great storm duration. Storm distribution was compared with the North Atlantic Oscillation Index (NAO). In fact, storm generation and tracks across Southern Europe are related to the NAO which represents the differences of atmospheric pressures at sea level between the Azores and Iceland (Rodwell et al., 1999). Within this study, high storm power values and large storm durations prevailed during negative values of NAO oscillations as previously observed by Hurrell (1995) in Southern Europe and Rodríguez et al. (2003) in the Gulf of Cadiz. During NAO positive values, low cyclonic activity is recorded and winters are dryer than normal because of the predominance of eastern winds and the deviation towards higher latitudes of active systems (Rodwell et al., 1999). Journal of Coastal Research, Special Issue 64, 2011 1893 Storm Impacts Figure 4. Storm recurrence and probability for the different storm classes at Cadiz location. A) Storm occurrence probability versus annual maximum Storm Power. B) Annual maximum Storm Power versus the reduced value using the Gumbel distribution. Storm impact and coastal erosion Despite the main aim of the present work is the characterization of coastal storms, it was carried out an attempt to analyze the relationship between storm events and littoral erosion/coastal structure damage. The aforementioned relationship depends on storm characteristics and coastal morphology and behavior (Phillips, 2008; Thomas et al., 2011), and it is often not very evident because damages prior to visible failure often respond to a series of storms or a series of stormy years. In this sense, Bryant (1988) and Ferreira (2005) suggested that storm frequency is more important than wave energy for generate beach damages. Zhang et al. (2001) and Lozano et al. (2004) affirmed that one large storm often causes much more severe beach erosion than the contribution of many small storms, especially if they do not impact the dunes. Forbes et al. (2004) and Dorsh et al. (2008) observed that shorter recovery time between storms increased the vulnerability of some coasts to further damage in less severe events. According to the results of a beach topographic monitoring program carried out in Cadiz littoral with a monthly periodicity during the 1996-1998 period (Anfuso and Gracia 2005), it is possible to state that in the investigated littoral, beach erosion depends on very local conditions such as exposition, contouring conditions, morphodynamic state and storm temporal distribution (Anfuso et al., 2007). In this sense, dissipative beaches recorded small morphological changes and were not greatly affected by storm waves, the recovery period being of several weeks. Steeper beaches presented most important morphological changes but recovery took place in shorter time as observed in the Northern part of Cadiz Gulf by Ferreira (2005) which stated that 2 weeks was sufficient time to permit beach recovery. Concerning storm temporal distribution, most beaches recorded severe morphological changes in autumn when Classes I and II storm events impacted on beaches which showed a clear summer profile. Successive Classes III to V events in December-February usually produced less important morphological changes in beach profile but affected dunes (Figure 5, Anfuso and Gracia, 2005). Figure 5. Example of dune erosion at P. Candor Beach (north of Cadiz) due to a Class III event on 5th February 1998. CONCLUSIONS Huelva and Cadiz littorals are particularly susceptible to storm events, especially considering that many coastal sectors are recording important erosion processes and are heavily urbanized. Special attention must be devoted to beach surface losses which will cause severe economic damages to coastal tourism, the main economic activity for the investigated area. In this study, a storm classification into five classes was obtained at five locations for the HIPOCAS records of 19582001 period. Most powerful storms, i.e. Classes IV and V events, approached from SW directions and took place from November to February, with maximum values in December (Class V) and January (Class IV). Return period of Class V events ranged from 2 to 12 yrs, with average values of 7-8 years and values from 1 to 3 yrs were observed for Classes I to IV. Preliminary analysis on beach morphological changes and coastal structures damage pointed out as in autumn important beach morphological changes were associated with the impact of Classes I to II events which easily eroded well developed steep summer beach profiles. In winter, successive energetic events (Classes III to V) produced less significant beach changes, because beaches already showed a dissipative profile, but heavily impacted on dunes and coastal structures. Further studies are needed for deeply understand beach response to specific storm events in order to design an appropriate vulnerability assessment and adaptation strategy at local and regional scale. ACKNOWLEDGEMENTS This work is a contribution to the RESISTE Research Project (CGL2008-00458/BTE, supported by the Spanish Ministry of Science & Technology and by European Funds for Regional Development – F.E.D.E.R.) and to the Andalusia P.A.I. Research Group no. RNM-328. Thanks go to Puertos del Estado (Spanish Ministry of Public Works) for HIPOCAS wave data records. This work has been partially developed at the Centro Andaluz de Ciencia y Tecnología Marinas (CACYTMAR), Puerto Real (Cadiz, Spain). Journal of Coastal Research, Special Issue 64, 2011 1894 Rangel-Buitrago and Anfuso LITERATURE CITED Allen, J.R., 1981. Beach erosion as a function of variations in the sediment budget. Sandy Hook, New Jersey, USA. Earth Surface and Landforms, 6, 139-150. An, Y., and Pandy, M.D., 2005. A comparison of methods of extreme wind speed estimation. Journal of Wind Engineering and Industrial Aerodynamics. 93, 535- 545. Anfuso, G., and Gracia, F.J., 2005. Morphodynamic characteristics and short term evolution of a coastal sector in SW Spain: implications for coastal erosion management. Journal of Coastal Research, 21 (6), 1139–1153. Anfuso G., Dominguez, L., and Gracia, F.J., 2007. Short and medium-term evolution of a coastal sector in Cadiz, SW Spain. Catena, 70, 229–242. Bacon, S., and Carter, D.J.T., 1991. Wave climate changes in the North Atlantic and the North Sea. International Journal of Climatology, 11, 545–558. Brown, A.C., and McLachlan, A., 2002. Sandy shore ecosystems and the threats facing them: some predictions for the year 2025. Environmental Conservation, 29, 62-77. Bryant, E.A., 1988. Storminess and high tide beach change stranwell park Australia 1943-1978. Marine Geology, 79(3), 171-187. Del Rio L., Plomaritis T., Puig M., Civico L., Valladares M., Anfuso G., Benavente J., 2010. The impact of two different storm seasons on a natural beach of the Gulf of Cádiz (Spain): high versus low energy events. Geophysical Research Abstracts, 12, 15118. Dolan, R., and Davis, R.E., 1992. An intensity scale for Atlantic coast northeast storms. Journal of Coastal Research, 8, 352-364. Dorsch, W., Newland, T., Tassone, D., Tymons, S., and Walker, D., 2008. A statistical approach to modeling the temporal patterns of ocean storms. Journal of Coastal Research, 24 (6), 1430-1438. Ferreira, O., 2005. Storm groups versus extreme single storms: predicted erosion and management consequences. In: FINKL (ed.), The sun, Earth and Moon: a Tribute to Rhodes W. Fairbridge Journal of Coastal Research Special Issue No. 42, pp. 221-227. Forbes, D., Parkes, G., Manson, G.K., and Ketch, L., 2004. Storms and shoreline retreat in the southern Gulf of St. Lawrence. Marine Geology, 210, 169-204. Halsey, S.D., 1986. Proposed clasiffication scale for major Northesast storms: East Coast USA, based on extent of damage. Geological society of America, abstracts with programs (Northeastern section), 18 -21. Hurrell, J., and Deser, C., 2010. North Atlantic climate variability: the role of the North Atlantic Oscillation. Journal of Marine System, 79, 231-244. Jenks, G.F., and Caspall, F.C., 1971. Error on choroplethic maps: definition, measurement, reduction. Annals of the Association of American Geographers, 61 (2), 217-244. Komar, P.D., and Allan, J.C., 2008. Increasing hurricanegenerated wave heights along the U.S. East coast and their climate controls. Journal of Coastal Research. 24, 479– 488. Lozano, I., Devoy, R.J.N., May, W., and Andersen, U., 2004. Storminess and vulnerability along the Atlantic coastlines of Europe: analysis of storm records and of a greenhouse gases induced climate scenario. Marine Geology, 210, 205 – 225. Mendoza, E., and Jimenez, J., 2008. Clasificación de tormentas costeras para el litoral catalán (Mediterráneo NO). Ingeniería hidráulica en México, 23(2), 23-34. Menendez, M., Mendez, F., Lozada, I., Medina, R., and Abascal, A., 2004. . Variaciones del régimen extremal del clima marítimo en el litoral español en el periodo 19582001. In: Garcia, J.C. (ed.), El Clima entre el Mar y la Montaña. Santander, Spain: Publicaciones de la Universidad de Cantabria, pp. 73-84. Morton, I., Bowers, J., and Mould, G., 1997. Estimating return period wave heights and wind speeds using a seasonal point process model. Coastal Engineering, 26, 251-270. Mosso, C., Mestres, M., Sierra, J.P., Sanchez-Arcilla, A., and Goodess, C., 2009. Waves and surges in the Valencia Gulf. Variability rather than climate change. In: Da Silva (ed.), Proceedings of the ICS 2009. Journal of Coastal Research Special Issue No. 56, pp. 243-247. Muñoz, J.J., and Enriquez, J., 1998. Dinámica litoral de una unidad fisiográfica completa: Sanlúcar-Rota. Revista de Obras Públicas, 3375, 35-44. Muñoz, J.J., 1996. Análisis de la morfología y variabilidad de playas apoyadas en lajas rocosas. Cadiz, Spain: University of Cadiz, Ph. D thesis, 150p. Orford, J.D., and Carter, R.W., 1995. Examination of mesoscale forcing for a swash-aligned, gravel barrier from Nova Scotia. Marine Geology, 126, 201-211. Orford, J.D., Hinton, A.C., Carter, R.W., and Jennings, S.C., 1992. A tidal link between sea level rise and coastal response of a gravel-dominated barrier in Nova Scotia. Geophysical Monograph 11, 71-79. Phillips, M., 2008. Consequences of short-term changes in coastal processes: a case study. Earth Surface Processes and Landforms, 33, 2094-2107. Phillips, M., and Crisp S., 2010. Sea level trends and NAO influences: The Bristol Channel/ Severn estuary. Global and Planetary Change, 73, 211-218 Plomaritis, T., Anfuso, G., Rangel, N., and Del Rio, L. 2009. Erosion and accretion patterns in different morphodynamic beach states in cadiz (SW Spain). Proceedings of the 7th International Conference on Geomorphology (Melbourne, Australia). Rajabi, M.R., and Modraes, R., 2008. Extreme value frequency analysis of win data from Isfahan, Iran. Journal of wind Engineering and industrial Aerodynamics, 96,78 - 82. Rao, A.R., and Hamed, K.H., 2000. Flood Frequency Analysis. Boca Raton, Florida: CRC Press. Rodriguez, A., Ruiz, F., Caceres, L.M., Rodriguez, J., Pino, R., and Muñoz, J.M., 2003. Analysis of the recent storm record in the south western Spanish coast: implications for littoral management. The Science of Total Environment, 303:189201. Rodwell, M.J., Rowell, D.P., and Folland, C.K., 1999. Ocean forcing of the wintertime North Atlantic Oscillation and European climate. Nature, 358, 320-323. Thomas, T., Phillips, M., Williams, A.T, and Jenkins R.E., 2011. A multy-century record of linked nearshore and coastal change. Earth Surface Processes and Landforms, DOI: 10.1002/esp.2127 Zhang, K., Douglas, B., and Leatherman, S., 2002. Do storms cause long-term beach erosion along the U.S. East Barrier Coast. The journal of Geology, 110, 493-502. Journal of Coastal Research, Special Issue 64, 2011 1895
© Copyright 2025 Paperzz