Role of Storm Erosion Potential and Beach Morphology in Controlling Dune Erosion

Coastal erosion is controlled by two sets of factors, one related to storm intensity and the other related to a location’s vulnerability. This study investigated the role of each set in controlling dune erosion based on data compiled for eighteen historical events in New Jersey. Here, storm intensity was characterized by the Storm Erosion Index (SEI) and Peak Erosion Intensity (PEI), factors used to describe a storm’s cumulative erosion potential and maximum erosive power, respectively. In this study, a direct relationship between these parameters, beach morphology characteristics, and expected dune response was established through a classification tree ensemble. Of the seven input parameters, PEI was the most important, indicating that peak storm conditions with time scales on the order of hours were the most critical in predicting dune impacts. Results suggested that PEI, alone, was successful in distinguishing between storms most likely to result in no impacts (PEI < 69) and those likely to result in some (PEI > 102), regardless of beach condition. For intensities in between, where no consistent behavior was observed, beach conditions must be considered. Because of the propensity for beach conditions to change over short spatial scales, it is important to predict impacts on a local scale. This study established a model with the computational effectiveness to provide such predictions.

KAJIAN KONDISI BIOFOSIK LAHAN DAERAH ALIRAN SUNGAI DI SUBDAS CIUJUNG HULU, PROVINSI BANTEN

The upstream of a watershed is a buffer zone and it protects the whole watershed. The degradation of a watershed is caused by uncotrolled uses of the land and exploitation of the nature resources such as forest, land, and water. It causes the changes in the carrying capacity of the watershed, especially in biophysical aspects. This research aims to study the watershed biophysical condition in Ciujung Hulu Watershed, Banten Province. Biophysical condition analyzed using Forestry Minister Regulation P.61/Menhut-II/2014 for degraded land class, land cover percentage, and Erosion Hazard Index. The condition of the land, such as degraded land, vegetation cover, and erosion index, analyzed using modification of Forestry Minister Regulation Perdirjen BPDAS PS Nomor P.4/V-SET/2013. The result of the study showed that the percentage of degraded land, vegetation cover percentage, and erosion index were 25,85% (severe degraded land), 9,77% (very low covered), and 30,89 (Very high).

Analysis of oral health and salivary biochemical parameters of women with anorexia and bulimia nervosa

Análisis de parámetros bioquímicos de salud bucal y salival de mujeres con anorexia y bulimia nerviosa Objective: The aim of this study was to analyze the association between caries, dental erosion and salivary biochemical profile of women with anorexia and bulimia, comparing them with a control group. Methods: The participants were women from the Eating Disorders Program of the Mental Health Clinic. We evaluated caries and dental erosion and collected stimulated saliva samples for the analyses of salivary flow, phosphor, calcium, acid and alkaline phosphatase, amylase, FRAP and uric acid. Data were expressed as means and standard deviations and were analysed using Mann-Whitney test with p<0.05 regarded as significant. Results: 13 women with anorexia and bulimia participated in the study, with an mean age of 28.9 years, and 15 comprised the control group. The DMFT index was 15.5 for the case group and 4.0 for the control group. Erosion was found mostly on the palatal/lingual surface and on incisor teeth of case group. Most biochemical analyzes showed a significant difference between the two groups. Conclusion: We concluded that, in patients with anorexia and bulimia, due to a decreased salivary flow and self-induced vomiting habits, there is an increase in the caries and dental erosion index, as well as salivary changes.

Research on Identification and Supervision of Ecological Background of Subtropical Mountainous Highways Based on Multi-source Data

Based on the UAV remote sensing method combined with multi-source remote sensing data, the ecological background of the subtropical mountainous area was investigated based on the Huizhou to Qingyuan section of the Shantou-Zhanjiang Expressway. Ecological background evaluation indicators are the theoretical basis to support the analysis and evaluation of this article. The ecological indicators of roads in South China have selected five indicators: vegetation cover index, water environment index, soil erosion index, terrain slope index and land use type index.

Application of Storm Erosion Index (SEI) to parameterize spatial storm intensity and impacts from Hurricane Michael

Hurricane Michael made landfall as a Category 5 Hurricane on 10 October 2018 between Mexico Beach, Florida and Tyndall Air Force Base in Panama City Beach, Florida causing damages totaling $25 billion (Beven et al. 2019). While damages were caused by both wind and surge, this paper is solely concerned with the surge induced damages which were observed predominantly within 50 km (27 nmi) of the hurricane’s path. Generally, regions to the east of Hurricane Michael’s landfall sustained the most severe damages and appear consistent with the spatial gradient in peak water levels. This gradient was marked; with surge induced damage concentrated in the immediate vicinity of Mexico Beach and attenuating significantly over distances as little as 37 km (20 nmi) to the west in Panama City Beach and east in Port Saint Joe (Kennedy, in review). The gradient in erosion was also pronounced, with Panama City Beach experiencing an average erosion rate of 0.4 m3/m (3.9 cy/ft) while Mexico Beach and Cape San Blas experienced rates approximately three (1.1 m3/m or 11.5 cy/ft) and five (1.7 m3/m or 18.5 cy/ft) times that. For inherent reasons, the pronounced gradient in surge damages and erosion values are of primary interest to coastal researchers and managers. Storm Erosion Index (SEI), developed by Miller and Livermont (2008) combines the three primary drivers of coastal erosion (wave height, total water level, and storm duration) into a physically meaningful form to evaluate storms based on their erosion potential. Here, SEI is applied to explore these spatial variations at seven distinct regions within the Florida Panhandle and are compared to the observed impacts for both erosion and structural damages. These regions include: (west to east) Panama City Beach, Tyndall Air Force Base (AFB), Mexico Beach, Cape San Blas, Port St. Joe, St. Vincent Island, and St. George Island. Empirically, the cumulative SEI relates well with the observed beach erosion; while the Peak Erosion Intensity (PEI) was found to better capture the trends in structural damages. By capturing the spatial variation of the storm intensity, SEI and PEI are therefore proposed as a viable engineering demand parameter with potential applications in community scale fragility curves.

DEVELOPMENT OF A STORM EROSION CLIMATOLOGY FOR THE NEW JERSEY COAST, US

In this study, the Storm Erosion Index (SEI), developed by Miller and Livermont (2008), is used to reevaluate storms that have impacted New Jersey over the past several decades based on their erosion potential. This index considers all three drivers of coastal erosion including wave height, water level, and storm duration and has been shown to more closely correlated to observed erosion than more traditional indices (Miller and Livermont 2008). Here, storms are assessed at thirteen shoreline segments defined along the Atlantic coast of New Jersey. When reevaluated with SEI, the top three storms across all shoreline segments are the December 1992 nor’easter, the Veteran’s Day Storm in November 2009, and Hurricane Sandy in October 2012. In general, the December 1992 nor’easter and Hurricane Sandy are more highly ranked in the northern half of the state with Hurricane Sandy having a maximum return period of 38 years. The Veteran’s Day Storm on the other hand is more highly ranked in the southern half of the state having a maximum return period of 42 years. A closer look at these three storms illustrates the importance of each of the three drivers of coastal erosion in determining erosion potential. A particular emphasis is placed on storm duration which explains why the Veteran’s Day Storm (td = ~90 hours) outranks Hurricane Sandy (td = ~60 hours) in the southern portion of the state. The assessment performed in this study produces a record of historical storms ranked by SEI that future storms can be compared to. This allows for an understanding of the erosion potential of future storms in the context of what has occurred previously.