Relevant bibliographies by topics / Hurricane Sandy

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Hurricane Sandy'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 June 2025

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Journal articles on the topic "Hurricane Sandy"

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Pollak, Cheryl L. ""Hurricane" Sandy." Texas A&M Journal of Property Law 5, no. 2 (2018): 157–92. http://dx.doi.org/10.37419/jpl.v5.i2.3.

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On the evening of October 29, 2012, “Hurricane” Sandy made land- fall on the New York coastline, battering the land with strong winds, torrential rain, and record-breaking storm surges. Homes and commercial structures were destroyed; roads and tunnels were flooded; and more than 23,000 people sought refuge in temporary shelters, with many others facing weeks without power and electricity. At the time, Sandy was heralded as one of the costliest hurricanes in the his- tory of the United States; the second costliest hurricane only to Katrina, which hit New Orleans in 2005. Unfortunately, recent experience with Hurricanes Florence, Maria, Harvey, and Irma suggest that this pattern of devastating superstorms may become the new norm as climate change produces more extreme and unpredictable weather events. In Sandy’s aftermath, as individuals returned to their homes, or what remained of them, and communities began to rebuild, the true cost of the storm became apparent. A year after the storm, the Federal Emergency Management Agency (“FEMA”) estimated that over $1.4 billion in assistance was provided to 182,000 survivors of the dis- aster; another $3.2 billion was provided to state and local governments for debris removal, infrastructure repair, and emergency protective measures. More than $2.4 billion was provided to individuals and businesses in the form of low-interest loans through the Small Business Administration (“SBA”), and millions more were spent on grants de- signed to implement mitigation measures in the future and to provide unemployment assistance to survivors. Before the storm, homeowners paid premiums for flood insurance provided through the National Flood Insurance Program (“NFIP”), and for homeowner’s insurance provided by dozens of private insurers. In the months following the storm, they began to file claims for assistance in rebuilding their homes. While many such claims were re- solved successfully, many homeowners were unhappy with the settlement amounts offered by their insurance carriers and felt compelled to file lawsuits in the surrounding state and federal courts. Many of those lawsuits were filed in the United States District Court for the Eastern District of New York (“EDNY”). This case study describes the EDNY’s specifically crafted, unique approach to handling the mass litigation that ensued from Sandy’s devastation, documents some of the problems that the Court faced during that mass litigation, and describes some of the lessons learned from the Court’s experience.
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Lindsey, Heather. "Hurricane Sandy." Nephrology Times 5, no. 12 (2012): 8–11. http://dx.doi.org/10.1097/01.nep.0000426009.16085.b8.

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Trento, Laura, and Sarah Allen. "Hurricane Sandy." Nutrition in Clinical Practice 29, no. 5 (2014): 576–84. http://dx.doi.org/10.1177/0884533614536927.

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Innis, Jack. "Hurricane Sandy." CoatingsPro 13, no. 1 (2013): 12. https://doi.org/10.5006/cp2013_13_1-12.

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Martínez, Pablo, Isidro A. Pérez, María Luisa Sánchez, María de los Ángeles García, and Nuria Pardo. "Wind Speed Analysis of Hurricane Sandy." Atmosphere 12, no. 11 (2021): 1480. http://dx.doi.org/10.3390/atmos12111480.

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The database of the HWind project sponsored by the National Oceanic and Atmospheric Administration (NOAA) for hurricanes between 1994 and 2013 is analysed. This is the first objective of the current research. Among these hurricanes, Hurricane Sandy was selected for a detailed study due to the number of files available and its social relevance, with this being the second objective of this study. Robust wind speed statistics showed a sharp increase in wind speed, around 6 m s−1 at the initial stage as Category 1, and a linear progression of its interquartile range, which increased at a rate of 0.54 m s−1 per day. Wind speed distributions were initially right-skewed. However, they evolved to nearly symmetrical or even left-skewed distributions. Robust kurtosis was similar to that of the Gaussian distribution. Due to the noticeable fraction of wind speed intermediate values, the Laplace distribution was used, its scale parameter increasing slightly during the hurricane’s lifecycle. The key features of the current study were the surface and recirculation factor calculation. The surface area with a category equal to, or higher than, a tropical storm was calculated and assumed to be circular. Its radius increased linearly up to 600 km. Finally, parcel trajectories were spirals in the lower atmosphere but loops in the mid-troposphere due to wind translation and rotation. The recirculation factor varied, reaching values close to 0.9 and revealing atmospheric stratification.
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Ersel, Murat. "Aftermath Hurricane Sandy." Journal of Academic Emergency Medicine 12, no. 2 (2013): 110–11. http://dx.doi.org/10.5152/jaem.2013.032.

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Hutner, H. "Hurricane Sandy Diary." Interdisciplinary Studies in Literature and Environment 21, no. 1 (2014): 59–67. http://dx.doi.org/10.1093/isle/isu019.

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Yip, Caryn S., Peter J. Kaboli, Michael P. Jones, Margaret Carrel, and Peter S. Thorne. "Neighborhood Disadvantage and the Association of Hurricanes Sandy and Harvey With Veterans’ Mental Health." JAMA Network Open 8, no. 1 (2025): e2455013. https://doi.org/10.1001/jamanetworkopen.2024.55013.

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ImportanceHurricanes are associated with a wide range of adverse health effects in the general population and are increasing in frequency and severity due to global climate change. Due to prior military exposures and distinct sociodemographic characteristics, US veterans may be more vulnerable than the general population to negative health effects of hurricanes.ObjectiveTo evaluate whether acute care mental health visits among US veterans were associated with exposure to hurricanes.Design, Setting, and ParticipantsThis retrospective cohort study consisted of US veterans enrolled in Veteran Health Administration (VHA) primary care and whose home addresses were in regions that were affected by Hurricanes Sandy or Harvey. The Hurricane Sandy cohort included data from 960 394 veterans between October 29, 2011, and October 28, 2016, and the Hurricane Harvey cohort included data from 795 746 veterans between August 25, 2016, and August 24, 2021. Affected regions were determined from Federal Emergency Management Agency designations; patient-level clinical data were obtained through VHA electronic health records. Statistical analysis was conducted from October 2022 to November 2023.Main Outcomes and MeasuresThe outcome of interest was acute care mental health visits, which included urgent care or emergency department visits or having an inpatient admission. The association between the outcome and exposure to hurricanes was estimated using Cox proportional hazards regression models with adjustments for multiple demographic and neighborhood characteristics, including neighborhood disadvantage, assessed using the Area Deprivation Index, and prior health status, assessed using the Care Assessments Need (CAN) score.ResultsOf the 960 394 veterans in the Hurricane Sandy cohort, the mean (SD) age was 63 (16) years, and 895 726 (93.3%) were men; of the 795 746 veterans in the Hurricane Harvey cohort, the mean (SD) age was 59 (16) years, and 715 460 (89.9%) were men. For both hurricane cohorts, increasing neighborhood disadvantage was associated with an increased hazard of having a subsequent acute care mental health visit; this association was more pronounced among healthier veterans (Sandy cohort: 1-year hazard ratio [HR], 1.62 [95% CI, 1.53-1.71]; Harvey cohort: 1-year HR, 1.64 [95% CI, 1.54-1.74]) compared with veterans who had severe illness (Sandy cohort: HR, 1.22 [95% CI, 1.17-1.26]; Harvey cohort: HR, 1.21 [95% CI, 1.13-1.30]). After adjusting for baseline data, the association between hurricane exposure and our outcomes of interest was largely null. For the Hurricane Sandy cohort, those who were flooded and received individual assistance demonstrated a 1-year HR of 1.31 (95% CI, 0.81-2.12) if their CAN score was 80 or above and 0.86 (95% CI, 0.60-1.22) for a CAN score below 80. Similarly, those affected by Hurricane Harvey who were flooded and received individual assistance had a 1-year HR of 1.06 (95% CI, 0.99-1.14) for a CAN score of 80 or above and a 1-year HR of 0.98 (95% CI, 0.91-1.05) for a CAN score less than 80.Conclusions and RelevanceThis study used a novel and highly granular approach to examine the associations of hurricanes with mental health outcomes. These findings are the first to show that hurricane exposure was not associated with adverse mental health outcomes among US veterans and illustrate the importance of considering preexisting regional differences when assessing the associations of hurricanes with mental health outcomes. The results suggest that neighborhood characteristics, rather than exposure to a hurricane, are the dominant determinants of mental health outcomes.
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Valenti, JL, TM Grothues, and KW Able. "Juvenile fish assemblage recruitment dynamics in a mid-Atlantic estuary: before and after Hurricane Sandy." Marine Ecology Progress Series 641 (May 7, 2020): 177–93. http://dx.doi.org/10.3354/meps13309.

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Hurricanes can have long-term effects on estuarine fauna. Understanding these effects is important as climate change may influence the severity and frequency of these storms. On 29 October 2012, Hurricane Sandy, a large storm spanning roughly 1850 km in diameter, made landfall in Brigantine, New Jersey (USA), approximately 20 km south of Barnegat Bay, during an ongoing study of the bay’s ichthyofauna, providing an opportunity to observe fish recruitment dynamics coincident with hurricane passage. The objective of this study was to measure variance in the Barnegat Bay pre-Sandy fish assemblage relative to that of 1 and 2 yr after the storm. Barnegat Bay fishes were surveyed with an extensive otter trawl study in April, June, August, and October of 2012 (pre-Sandy), 2013 (1 yr post-Sandy), and 2014 (2 yr post-Sandy). Species composition of the fish assemblage was similar across years. Analyzed structural characteristics (abundance, diversity, richness) of the fish assemblage were occasionally more likely to occur or were larger pre-Sandy and 2 yr post-Sandy relative to 1 yr post-Sandy, but this trend was inconsistent across seasons and between structural characteristics. Furthermore, odds of occurrence and length frequency distributions for many resident species and sentinel fall/winter spawners did not indicate that variance could be definitively explained as a hurricane effect. The capability of fish to relocate from areas of temporarily unsuitable habitat and annual new recruitment of larvae and juveniles to the bay likely contributed to the observed stability in the fish assemblage.
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Brown, Shakara, Lisa M. Gargano, Hilary Parton, et al. "Hurricane Sandy Evacuation Among World Trade Center Health Registry Enrollees in New York City." Disaster Medicine and Public Health Preparedness 10, no. 3 (2016): 411–19. http://dx.doi.org/10.1017/dmp.2016.57.

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AbstractObjectiveTimely evacuation is vital for reducing adverse outcomes during disasters. This study examined factors associated with evacuation and evacuation timing during Hurricane Sandy among World Trade Center Health Registry (Registry) enrollees.MethodsThe study sample included 1162 adults who resided in New York City’s evacuation zone A during Hurricane Sandy who completed the Registry’s Hurricane Sandy substudy in 2013. Factors assessed included zone awareness, prior evacuation experience, community cohesion, emergency preparedness, and poor physical health. Prevalence estimates and multiple logistic regression models of evacuation at any time and evacuation before Hurricane Sandy were created.ResultsAmong respondents who evacuated for Hurricane Sandy (51%), 24% had evacuated before the storm. In adjusted analyses, those more likely to evacuate knew they resided in an evacuation zone, had evacuated during Hurricane Irene, or reported pre-Sandy community cohesion. Evacuation was less likely among those who reported being prepared for an emergency. For evacuation timing, evacuation before Hurricane Sandy was less likely among those with pets and those who reported 14 or more poor physical health days.ConclusionsHigher evacuation rates were observed for respondents seemingly more informed and who lived in neighborhoods with greater social capital. Improved disaster messaging that amplifies these factors may increase adherence with evacuation warnings. (Disaster Med Public Health Preparedness. 2016;10:411–419)
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Dissertations / Theses on the topic "Hurricane Sandy"

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Manandhar, Rejina. "Return-Entry Risk Communication Following 2012 Hurricane Sandy." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc848209/.

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Within risk communication, much is understood about pre-event warning related to evacuation and sheltering; however risk communication during the return-entry phase when ending evacuations has been largely under-studied in the disaster literature. Understanding of the return-entry risk communication process is important because returning early or prior to issuance of the all-clear message can make returnees susceptible to post-disaster risks, and also hamper post-disaster activities such as debris removal, traffic management, utility restoration and damage assessments. Guided by the Warning Components Framework and the Theory of Motivated Information Management, this dissertation focuses on risk communication as it pertains to organizational behavior during the return-entry process by examining how local emergency management organizations develop, disseminate and monitor return-entry messages. The data is collected through semi-structured telephone interviews with local emergency management organizations that managed return-entry following Hurricane Sandy. The findings of the study indicate that local emergency management organizations required information on post-disaster threats, damages, and utility and infrastructure condition in order to develop return-entry strategy for their community. Organizations improvised to their existing risk communication measures by adopting creative ways for information dissemination to the evacuees. They also utilized active and passive approach to monitor public response to the return-entry messages.
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Hajhashemi, Elham. "Agent-based Modeling for Recovery Planning after Hurricane Sandy." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/85012.

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Hurricane Sandy hit New York City on October 29, 2012 and greatly disrupted transportation systems, power systems, work, and schools. This research used survey data from 397 respondents in the NYC Metropolitan Area to develop an agent-based model for capturing commuter behavior and adaptation after the disruption. Six different recovery scenarios were tested to find which systems are more critical to recover first to promote a faster return to productivity. Important factors in the restoration timelines depends on the normal commuting pattern of people in that area. In the NYC Metropolitan Area, transit is one of the common modes of transportation; therefore, it was found that the subway/rail system recovery is the top factor in returning to productivity. When the subway/rail system recovers earlier (with the associated power), more people are able to travel to work and be productive. The second important factor is school and daycare closure (with the associated power and water systems). Parents cannot travel unless they can find a caregiver for their children, even if the transportation system is functional. Therefore, policy makers should consider daycare and school condition as one of the important factors in recovery planning. The next most effective scenario is power restoration. Telework is a good substitute for the physical movement of people to work. By teleworking, people are productive while they skip using the disrupted transportation system. To telework, people need power and communication systems. Therefore, accelerating power restoration and encouraging companies to let their employees' telework can promote a faster return to productivity. Finally, the restoration of major crossings like bridges and tunnels is effective in the recovery process.<br>Master of Science
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Rice, Lindsay L. "An Analysis of Public Perception and Response to Hurricane Sandy." Scholar Commons, 2014. https://scholarcommons.usf.edu/etd/5114.

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Hurricane Sandy made landfall in Brigantine, New Jersey on October 29th, 2012. The storm impacted the coastal regions of New Jersey and New York, especially the heavily populated area of New York City. This research, which analyzes secondary data obtained from a telephone survey, investigates the public response of residents before, during and after Hurricane Sandy. The survey consisted of questions regarding what the residents expected concerning the threat of Hurricane Sandy, whether it matched what they experienced, where they got their information and how they made their decision to evacuate or not. The results from the survey were statistically analyzed in order to answer important research questions about public perception of Sandy's impacts. A Vulnerability Assessment of New York City, where some of Sandy's impacts were felt the most, was completed in order to understand why this area was so vulnerable. The concern level of various hurricane related hazards was analyzed and correlated to demographic variables to determine a relationship among the variables. A qualitative analysis was performed on the survey questions "Why did you evacuate?" and "Why did you not evacuate?" in order to determine themes in relation to people's reasons for evacuating or not evacuating. Finally, differences in how the public perceived Hurricane Sandy before and after the storm were analyzed and may be used for improving communication of the forecast to the public. Interdisciplinary research in this area is needed in order to better understand the public's need for appropriate warnings to ensure safety. Results show that residents were most concerned about wind damage and that they mainly used their television to obtain their information about the storm. Also, the most common reasons respondents reported for evacuating were because of the threat of possible impacts (storm surge, flooding, wind, rain and waves), the forecast called for bad conditions, or being told, recommended or convinced to leave. The main reasons reported by respondents for not evacuating are thinking that the impacts would not be bad in their area, feeling prepared or safe and thinking they could handle the impacts. This research can be used in the future for improving hurricane warning communication to the public.
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Shariat, Sara. "The spatio-temporal properties of Twitter users during the Sandy Hurricane." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-252092.

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The wide-scale deployment of networked communication and sensing devices, e.g. phones and tablets, provides a previously unimaginable amount of information about people's environment and movements. These devices often have access to high accuracy localization technology, such as GPS and Wi-Fi/cell tower localization. Users of these devices also frequently participate in global social networks, for instance Twitter, Facebook and Google+. The information obtained from social media in a catastrophic event is unique and cannot be found anywhere else in the information space, they may even have the geographical knowledge of the influenced areas, which can be high importance for those outside of the area. This role is highlighted in the occurrence of hurricane sandy on 2012. Geo- tagged social media messages expose user’s locations and subsequent movements, providing near-instantaneous data about how people are responding to a disaster event. The need for up-to- date information is paramount for the authorities so they can organize the most efficacious response. They need to know what issues are affecting people on the ground, where people are located and whether they can/will evacuate. This project will analyze gigabytes of data collected during the Sandy Hurricane of 2012 on the American East Coast. Millions of geo-tagged tweets from hundreds of thousands of users were collected and offer a unique insight into how Twitter activity increased during the hurricane in the area of the event and the movement pattern of the people changed during the hurricane. These reactions and movements of people during the Hurricane Sandy help the process of evaluation so responders can have a more robust situational awareness of the disaster.
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Boet-Whitaker, Sonja K. (Sonja Kathleen). "Buyouts as resiliency planning in New York City after Hurricane Sandy." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111375.

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Thesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 68-74).<br>Land buyout programs may be used to significantly improve climate resilience by creating a protective ecological buffer area to protect land at high risk of flooding. This thesis assesses the success of the New York State land buyout on the East Shore of Staten Island in achieving this resilient outcome. The New York State buyout program was created after Hurricane Sandy in October 2012 in response to pressure from landowners who had been flooded in the storm. New York City declined to participate in a buyout in response to Sandy but offered to acquire storm-damaged homes in other areas where the New York State buyout was not offered. Through the New York City program, acquired properties would be resold to private entities at auction. In contrast, the New York State program, which purchased 37 acres of land within the 100-year floodplain, was legally bound to hold the properties bought through their program as open space in perpetuity. The state was able to promise former residents that their land would become a buffer for inland areas, increasing resilience along this vulnerable coastline. I analyze the success of the state program in achieving this goal by assessing participation and attrition rates within designated buyout areas, as well as reasons for attrition. I find that the lack of coordinated goals and agreed-upon tools prevented New York Rising from successfully achieving the highest measure of resilience: creating a coastal buffer area to protect residents from sea level rise and future flooding.<br>by Sonja K. Boet-Whitaker.<br>M.C.P.
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Harvey, Dennis C. (Dennis Cameron). "After retreat : buyout programs and local planning goals after Hurricane Sandy." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/111383.

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Thesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 75-82).<br>State run home buyout programs are becoming increasingly popular as a means to mitigate flood damage to homes within floodplains. However, there are many local benefits associated with buyout programs, including the removal of services from the neighborhood, increased flood protection for adjacent neighborhoods, and increased green space for conservation and recreation purposes. With limited federal funding for these programs, policy designers make an effort to maximize these benefits. This thesis uses structured interviews, descriptive statistics, and mapping, to compare New Jersey's Blue Acres buyout program and the New York Rising Buyout and Acquisition Program. First, it compares the programs through the lens of 8 key policy decisions including parent institution, funding sources, municipal relationship, site selection, outreach, the offer, continued land management and future plans. Then, it uses a common framework to compare 3 coastal municipalities that utilized buyout programs, including Woodbridge, NJ, Lindenhurst, NY, and Mastic Beach, NY. I found that the ability to achieve local planning goals was influenced primary by the program's community outreach approach, site selection process, and its relationship with the municipality. As states design the next generation of buyout programs to deal with the increased flood risks associated with climate change, this paper will help guide buyout policy to achieve better outcomes.<br>by Dennis C. Harvey.<br>M.C.P.
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Harvey, Amelia. "After retreat : buyout programs and local planning goals after Hurricane Sandy." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111383.

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Thesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 75-82).<br>State run home buyout programs are becoming increasingly popular as a means to mitigate flood damage to homes within floodplains. However, there are many local benefits associated with buyout programs, including the removal of services from the neighborhood, increased flood protection for adjacent neighborhoods, and increased green space for conservation and recreation purposes. With limited federal funding for these programs, policy designers make an effort to maximize these benefits. This thesis uses structured interviews, descriptive statistics, and mapping, to compare New Jersey's Blue Acres buyout program and the New York Rising Buyout and Acquisition Program. First, it compares the programs through the lens of 8 key policy decisions including parent institution, funding sources, municipal relationship, site selection, outreach, the offer, continued land management and future plans. Then, it uses a common framework to compare 3 coastal municipalities that utilized buyout programs, including Woodbridge, NJ, Lindenhurst, NY, and Mastic Beach, NY. I found that the ability to achieve local planning goals was influenced primary by the program's community outreach approach, site selection process, and its relationship with the municipality. As states design the next generation of buyout programs to deal with the increased flood risks associated with climate change, this paper will help guide buyout policy to achieve better outcomes.<br>by Amelia Harvey.<br>M.C.P.
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Kontou, Eleftheria. "Commute Travel Changes and their Duration in Hurricane Sandy's Aftermath." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/71858.

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Hurricane Sandy struck the New York City-New Jersey region on October 29, 2012, with severe consequences to the transportation network, including both the road network and the transit system. This study used survey data from nearly 400 commuters in the New York City Metropolitan Area to determine the transportation disruptions and socio-demographic characteristics associated with travel changes and their duration for the home-to-work commute after Hurricane Sandy. Multi-variable binary logit modeling was used to examine mode shifting, cancelling the trip to work, route changing, and modifying departure time. Transit commuters were more likely to change modes, cancel the trip, and depart earlier. Women were less likely to change modes or depart later. Carpool restrictions encouraged mode changing and earlier departures. Delays/crowding increased the probability of route changes, canceled trips, and earlier departures. Durations of commute travel changes were modeled with accelerated failure time approaches (Weibull distribution). New Jersey Transit disruptions prolonged the time to return to the normal working schedule, telecommuting time, and the time of commuting patterns alterations. Gasoline purchase restrictions extended commuting delays and the duration of alteration of normal commute patterns but decreased the duration of the change of working schedule and location. The mode used under normal commute conditions did not have an impact on the duration of the changes, even though it has a significant impact on the selected changes. The results underline the need for policy makers to account for mode-specific populations and lower income commuters during post-disaster recovery periods.<br>Master of Science
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Gould, Laura Ann. "A Conceptual Model of the Individual and Household Recovery Process: Examining Hurricane Sandy." Thesis, North Dakota State University, 2014. https://hdl.handle.net/10365/27502.

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This study examined how comprehensively the Bolin and Trainer (1978) model of recovery reflects the recovery process of individuals and households. A review of the literature since 1978 suggested that various revisions and additions were warranted, but additional research was needed to examine these elements collectively. Rubin and Rubin?s (2012) Responsive Interviewing Model was employed to collect and analyze data related to the recovery process of individuals impacted by Hurricane/Superstorm Sandy to determine whether an updated model was appropriate. Interviews with twenty-one respondents representing non-governmental organizations involved in Sandy-related recovery efforts revealed the need for a revised model reflecting key aspects of the original model, revisions suggested by the literature, and a new addition based on the data collected through this study. A Revised Bolin and Trainer Model of Individual and Household Recovery was suggested and implications for the discipline and practice of emergency management discussed.
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Tennyson, Donna. "Lessons learned from Hurricane Sandy survivors| A qualitative intrinsic single-case study." Thesis, University of Phoenix, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10108360.

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<p> The goal of this qualitative single-case study was to investigate the problem with more than 50% of Americans admitting they are not prepared for natural disasters before they occur. The sample for this study was 24 purposively selected Hurricane Sandy survivors in New York and New Jersey who were 25 years of age or older. Data was collected through ten open-ended interview questions presented during telephone interviews. This study was guided by the theoretical framework of normative risk management decision making. Thematic analysis was used to code and analyze the data collected. This study was focused on answering two broad research questions related to why more than 50% of Americans are not prepared for natural disasters before they occur and the factors that prevent them from preparing. The major recommendations for future research and practice were related to the lack of a distinction between individuals who perceive they are prepared (who are deemed unprepared according to regulatory guidelines) and the possibility they are included with the more than 50% of Americans who are not prepared although they require modification of preparedness behavior while individuals who are not prepared require adoption of preparedness behavior. The other recommendations describe the factors that prevent individuals from preparing as lack of notification and signaling communications that indicate a natural disaster is imminent and expected to be severe; and individual disbelief in the validity of the communications. This study contributes to filling the gap in the literature related to the lived experience with natural disasters. </p>
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Books on the topic "Hurricane Sandy"

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Toschi, Mia. Surviving Sandy: The superstorm that reshaped our lives. Ambient Funding, 2013.

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Turton, David. Aftermath: Images of Superstorm Sandy at the Jersey Shore. Jersey Shore Publications, 2013.

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United States. Congress. Senate. Committee on Commerce, Science, and Transportation. Subcommittee on Surface Transportation and Merchant Marine Infrastructure, Safety, and Security. Superstorm Sandy: The devastating impact on the nation's largest transportation systems : hearing before the Subcommittee on Surface Transportation and Merchant Marine Infrastructure, Safety, and Security of the Committee on Commerce, Science, and Transportation, United States Senate, One Hundred Twelfth Congress, second session, December 6, 2012. U.S. Government Printing Office, 2013.

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New York (N.Y.). Office of Long-Term Planning and Sustainability and Center for Catastrophic Risk Management and Compensation, eds. Flood insurance in New York City following Hurricane Sandy. Rand Corporation, 2013.

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United States. Department of Homeland Security. Office of Inspector General. FEMA's initial response in New Jersey to Hurricane Sandy. Department of Homeland Security, Office of Inspector General, 2013.

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United States. Congress. Senate. Committee on Banking, Housing, and Urban Affairs. Subcommittee on Housing, Transportation, and Community Development. Recovering from superstorm Sandy: Rebuilding our infrastructure : hearing before the Subcommittee on Housing, Transportation, and Community Development of the Committee on Banking, Housing, and Urban Affairs, United States Senate, One Hundred Twelfth Congress, second session, on addressing challenges to public transit and housing in the New York-New Jersey region following superstorm Sandy and actions needed to strengthen the region's infrastructure to prevent devastation from future superstorms, December 20, 2012. U.S. Government Printing Office, 2013.

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United States. Congress. Senate. Committee on Banking, Housing, and Urban Affairs. Subcommittee on Housing, Transportation, and Community Development. Recovering from superstorm Sandy: Assessing the progress, continuing needs and rebuilding strategy : hearing before the Subcommittee on Housing, Transportation, and Community Development of the Committee on Banking, Housing, and Urban Affairs, United States Senate, One Hundred Thirteenth Congress, first session, on continuing to address the needs of people devastated by superstorm Sandy, the status of recovery and rebuilding work, and the Hurricane Sandy Task Force's rebuilding strategy report, September 18, 2013. U.S. Government Printing Office, 2014.

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Buxton, Herbert T. Meeting the science needs of the nation in the wake of Hurricane Sandy: A U.S. Geological Survey science plan for support of restoration and recovery. U.S. Department of the Interior, U.S. Geological Survey, 2013.

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Mitigation Assessment Team (United States. Federal Emergency Management Agency). Hurricane Sandy in New Jersey and New York: Building performance observations, recommendations, and technical guidance : Mitigation Assessment Team report. FEMA, 2013.

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Colburn, Lisa L. Social and economic impacts of hurricane/post tropical cyclone Sandy on the commercial and recreational fishing industries: New York and New Jersey one year later. U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, 2015.

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Book chapters on the topic "Hurricane Sandy"

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Wright, Robert, Michael Kemp, and William Lester. "The Need for Adaptation and Hurricane Sandy." In Transforming Disaster Response. Routledge, 2018. http://dx.doi.org/10.4324/9780429463198-5.

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Pace, Josefa. "Designing “Patterns” after Hurricane Sandy Uproots Structures." In Humanizing Grief in Higher Education. Routledge, 2021. http://dx.doi.org/10.4324/9780429326493-13.

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Comes, Tina. "Near Real-Time Decision Support for Disaster Management: Hurricane Sandy." In Decision Support Systems III - Impact of Decision Support Systems for Global Environments. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11364-7_3.

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Jabareen, Yosef. "The Deficient Resilient Cities: Hurricane Sandy in New York City." In Lecture Notes in Energy. Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9768-9_8.

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Shimizu, Mika, and Allen L. Clark. "Nexus of Resilience and Public Policy: Case of Hurricane Sandy in New York." In Nexus of Resilience and Public Policy in a Modern Risk Society. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-7362-5_5.

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Li, XiaoMing, and Susanne Lehner. "Observation of Sea Surface Wind and Wave in X-Band TerraSAR-X and TanDEM-X Over Hurricane Sandy." In Springer Natural Hazards. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2893-9_6.

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Myer, Mark, and John M. Johnston. "Models and Mapping Tools to Inform Resilience Planning After Disasters: A Case Study of Hurricane Sandy and Long Island Ecosystem Services." In Ecosystem-Based Management, Ecosystem Services and Aquatic Biodiversity. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45843-0_21.

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Robertson, Bailey. "City in the Sea." In Oceanic New York. punctum books, 2015. https://doi.org/10.21983/p3.0112.1.07.

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I was born and raised in Long Beach, New York,whose motto in Latin, “Civitas ad Mare,” means “City by the Sea.” More commonly printed on tee-shirts, coffee cups, and door mats, however, is a kind of second unoffi-cial motto: “Life’s a Beach.” While I realize this phrase is not particular to the trinkets of my hometown’s novelty shops, I have begun to wonder about the appropriateness of these words to certain aspects of life here, considering the recent history of Long Beach. Two consecutive years, 2011 and 2012, our shores, as well as those of nearby beaches, were battered by hurricanes Irene and Sandy. “Life’s a Beach” seems to be adapting new possibilities for interpretation, as storm events become more frequent and severe.
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Finn, Donovan. "Hurricane Sandy." In U.S. Emergency Management in the 21st Century. Routledge, 2019. http://dx.doi.org/10.4324/9780429424670-4.

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"After Hurricane Sandy." In Fluid New York. Duke University Press, 2013. http://dx.doi.org/10.1215/9780822378884-016.

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Conference papers on the topic "Hurricane Sandy"

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Powell, Daniel, Dale Fincher, Raymond Gonzales, et al. "Beneficial Effects of Chemical Treatment and Maintenance Pigging Programs in Returning an Offshore Pipeline to Pre-Hurricane Ike Conditions Following a Breach and the Ingress of Seawater and Sand, and the Effects of Bacteria Generated H2S." In CORROSION 2012. NACE International, 2012. https://doi.org/10.5006/c2012-01098.

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Abstract When Hurricane Ike crossed the Gulf of Mexico in September 2008, one of the major laterals in an offshore gas gathering system was ripped from the trunkline. As a consequence of that breach, approximately 75,000 BBL (11.9 MM liters) of seawater entered the trunkline, and approximately 40,000 BBL (6.4 MM liters) of seawater entered the lateral. A previous paper (NACE #10064) described the repairs, the high levels of hydrogen sulfide (H2S) that were generated by microbiological activity, the monitoring program, and the chemical treatment and maintenance pigging programs, which were implemented to re-establish control over the SRBs and the H2S they generated. This paper is a follow up to that report. Although inhibitor residuals have been very high, sand production appears to have temporarily increased as the sand from within the lateral and trunkline is slowly transported uphill to the onshore gas processing facility, “one girth weld at a time.” Of interest, the iron counts have become elevated. This may be attributed to the maintenance (cleaning) pigs, which are slowly pushing the sand that entered the pipelines when the pipeline was breached. The pigs, coupled with the transportation of the sand, are apparently scraping and “sand blasting” the walls of the trunkline, thus removing the oxides and corrosion products from the pipeline. This paper also presents results from destructive metallurgical examination of a hot tap coupon or “cut-out” obtained from the trunkline when a new 6” (15.2 cm) OD subsea tie-in (SSTI) was made at the 3:00 o’clock orientation in 2010.
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Leavitt, Alex, and Joshua A. Clark. "Upvoting hurricane Sandy." In CHI '14: CHI Conference on Human Factors in Computing Systems. ACM, 2014. http://dx.doi.org/10.1145/2556288.2557140.

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Miles, Travis, Scott Glenn, Oscar Schofield, Josh Kohut, and Greg Seroka. "Sediment transport in Hurricane Sandy." In OCEANS 2014. IEEE, 2014. http://dx.doi.org/10.1109/oceans.2014.7003252.

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Fontenot, Andrew T., Hesham M. El-Askary, and William K. M. Lau. "Hurricane Sandy and Saharan dust." In IGARSS 2014 - 2014 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2014. http://dx.doi.org/10.1109/igarss.2014.6947618.

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Young, William, Siva Kesevan, and Yuwei Chang. "Post-Hurricane Sandy Beach Erosion Protection." In 14th Triennial International Conference. American Society of Civil Engineers, 2016. http://dx.doi.org/10.1061/9780784479902.044.

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Dong, Han, Milton Halem, and Shujia Zhou. "Social Media Data Analytics Applied to Hurricane Sandy." In 2013 International Conference on Social Computing (SocialCom). IEEE, 2013. http://dx.doi.org/10.1109/socialcom.2013.152.

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Whitesell, Laurie A. "SEISMIC REFLECTION AND BEACH NOURISHMENT — LESSONS FROM HURRICANE SANDY." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 2013. Environment and Engineering Geophysical Society, 2013. http://dx.doi.org/10.4133/sageep2013-263.1.

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Shrestha, Parmeshwar L., Scott C. James, Philip J. Shaller, Macan Doroudian, David B. Peraza, and Troy A. Morgan. "Estimating the Storm Surge Recurrence Interval for Hurricane Sandy." In World Environmental and Water Resources Congress 2014. American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413548.191.

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Whitesell, Laurie A. "Seismic reflection and beach nourishment - lessons from Hurricane Sandy." In SEG Technical Program Expanded Abstracts 2013. Society of Exploration Geophysicists, 2013. http://dx.doi.org/10.1190/segam2013-1494.1.

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Kim, E., and L. Manuel. "On the Simulation of Wind, Waves and Currents During Hurricane Sandy for Assessing the Performance of Jacket-Supported Offshore Wind Turbines." In ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/omae2016-54656.

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The simulation of wind and wave fields for the evaluation of jacket-supported offshore wind turbines during Hurricane Sandy of 2012 is the focus of this study. For realistic load assessment of offshore wind turbines, it is important that coupled wind, wave, and current fields appropriately resolved spatially are provided throughout the evolution of the hurricane. A numerical model describing the hurricane track and intensity variation with time is used to generate the coupled wind, wave, and current fields. Time series of turbulent wind fields and coupled wave kinematics are generated using the hurricane simulation output and a detail procedure is presented. These coupled wind, wave, and current fields form the inputs for the analysis of a 5-MW offshore wind turbine supported on a jacket platform sited in 50 meters of water and assumed located in the path of Hurricane Sandy. The turbine’s and support structure’s performance under the simulated loading conditions is the subject of a companion paper.
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Reports on the topic "Hurricane Sandy"

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Haulsee, K. Quantifying macro-scale geomorphological changes post-Hurricane Sandy and Hurricane Joaquin at Assateague Island utilizing bathymetric mapping techniques. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/305856.

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Boero, Riccardo, and Brian Keith Edwards. Hurricane Sandy Economic Impacts Assessment: A Computable General Equilibrium Approach and Validation. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1374299.

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Lawrence, Steven Lawrence. Philanthropy and Hurricane Sandy: A Report on the Foundation and Corporate Response. Foundation Center, 2014. http://dx.doi.org/10.15868/socialsector.19446.

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Borrelli, M., E. Shumchenia, C. G. Kennedy, et al. Submerged marine habitat mapping, Cape Cod National Seashore: a post-Hurricane Sandy study. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/305420.

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Mohr, Michael, Gerlyn Hinds, Weston Cross, Shanon Chader, and Jeffrey Melby. Use of Dolos Armor Units to Repair Hurricane Sandy-Damaged Great Lakes Harbor. Coastal and Hydraulics Laboratory (U.S.), 2018. http://dx.doi.org/10.21079/11681/27772.

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Jansson, Anna, Arun Heer, Suzana Rice, et al. South Shore of Long Island, New York Regional Sediment Management Investigation : an overview of challenges and opportunities. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/43920.

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The US Army Corps of Engineers (USACE) is conducting the “South Shore of Long Island, New York Regional Sediment Management Investigation” to further understand sediment dynamics and to develop a comprehensive regional sediment management plan for the south shore of Long Island, New York. Regional sediment management is a systems approach using best management practices for more efficient and effective use of sediments in coastal, estuarine, and inland environments. This investigation seeks to characterize sediment movement on the south shore of Long Island as a holistic system across the entire study area. It focuses on the regional system post-Hurricane Sandy (October 2012) as the storm significantly altered the physical landscape with severe shoreline erosion, which resulted in the construction of projects to reduce the risk of future storms and stakeholder priorities with a new emphasis on bay-side sediment dynamics, such as channel shoaling and disappearing wetlands. Despite the fact the storm caused severe erosion, the equilibrium beach profile, depth of closure, and general shoreline orientation seem to be unaffected. Previous studies have characterized sediment movement at specific sections of the south shore, but these data have not been incorporated to create a system-wide perspective. Coordinating sediment management across the six Atlantic Ocean inlets, Great South Bay Channel, Intracoastal Waterway, and coastal storm risk management (CSRM) projects could save the federal government millions of dollars in dredging and sand placement actions. This technical note presents the progress the investigation has made to date and will be followed with a more in-depth technical report titled South Shore of Long Island, New York Regional Sediment Management Investigation: A Post-Hurricane Sandy Shoreline Evaluation, currently in preparation.
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Psuty, Norbert, Christopher Menke, Katherine Ames, Andrea Aabeck, and Casey Jones. Shoreline position and coastal topographical change monitoring at Assateague Island National Seashore: 2005–2020 trend report. National Park Service, 2022. http://dx.doi.org/10.36967/nrr-2293154.

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This trend report summarizes the results of shoreline position and coastal topography surveys conducted semi-annually from the spring of 2005 through the fall of 2020. Shoreline position was collected in the Assateague Island National Seashore (ASIS), the Assateague State Park, and the Chincoteague National Wildlife Refuge, whereas coastal topography was collected only in the Assateague Island National Seashore and the Assateague State Park. The assembled datasets are processed to provide spatial depictions and statistical analyses of annual changes, 5-year changes, and the extended 15-year changes. Although there were considerable variations in the alongshore dimensions of change, the largest and most consistent vectors of annual shoreline position and coastal topography changes were produced by storm impacts, such as Hurricane Sandy and the winter storms in 2016, followed by the subsequent recovery. As a result of Hurricane Sandy (October 2012), the entire oceanside shoreline position of Assateague Island was displaced inland, and there was a loss of total cross-section area in the profiles. There was variable recovery post-Hurricane Sandy in both the shoreline position and coastal topography profiles. The winter of 2016 was also particularly stormy and had a higher mean net landward shoreline position displacement than post-Hurricane Sandy. Throughout the survey period, the termini of the island were exceptionally dynamic. The northern 2.5 km of Assateague Island National Seashore had a mean net seaward displacement, whereas the southern portion of the Chincoteague National Wildlife Refuge was the site of major inland displacement along the oceanside and as well as downdrift seaward extension of Toms Cove Hook. From 2005 through 2020, the only section of the oceanside shoreline position that had a positive trend of mean net displacement was the northernmost portion of Assateague Island, associated with local conditions created by the presence of the ebb tide delta and the Ocean City inlet jetty. All other parts of the ocean shoreline position had a negative trend of change; the highest rate of erosion occurred at the southern portion of Chincoteague National Wildlife Refuge. Contrary to the oceanside shoreline position, a portion of the Toms Cove Hook shoreline had a trend of seaward displacement as the spit extended in the direction of sediment transport. Other trends occurred in the areas where profiles were surveyed. Most of the dune area in ASIS gained in cross-section over time, except for portions of Assateague State Park. The dune elevation tended to gain in ASIS North and lower in ASIS South. Other than the profiles in Assateague State Park, the total cross-section area increased, with the highest rate of cross-section area gain in the northern portion of Assateague Island.
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Ptsuty, Norbert, Andrea Habeck, and Christopher Menke. Shoreline position and coastal topographical change monitoring at Gateway National Recreation Area: 2017–2022 and 2007–2022 trend report. National Park Service, 2023. http://dx.doi.org/10.36967/2299536.

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This trend report summarizes the results of shoreline position and coastal topography monitoring conducted at Gateway National Recreation Area (GATE) in 2007 through 2022. The data collection and report were completed by Rutgers University for the National Park Service, Northeast Coastal and Barrier Network, Inventory and Monitoring Program. Gateway National Recreation Area (GATE) is made up of three units: Sandy Hook Unit, Jamaica Bay Unit (Breezy Point, Plumb Beach), and Staten Island Unit (Great Kills, Miller Field, Fort Wadsworth). Shoreline position change results include a spatial depiction and statistical analysis of annual changes and 5-year changes in shoreline position as well as a longer-term trend analysis incorporating the full shoreline analysis of 2007 through 2022, all following the model presented in Psuty et al. (2022a). Coastal topography datasets include profiles of survey data collected annually, annual change metrics, net change metrics, as well as an alongshore depiction of net change, following the model presented in Psuty et al. (2012). This 2007–2022 trend report is the third GATE trend report to incorporate both shoreline position and coastal topographical change data. Due to the variable exposure to incident waves influencing inputs of sediment to the alongshore transport system in the various units from updrift sources, there was no common direction of shoreline displacement or profile change throughout the GATE park units. Engineering structures along the beach and adjacent to inlets altered the shoreline position and coastal topography responses in much of GATE. Generally, the largest vectors of shoreline position change and changes in coastal topography were produced by natural impacts such as storms and by anthropogenic impacts such as dredging or beach nourishment at an updrift location. All of the park units in GATE displayed the impacts of an absence of a source of sediment to counter the erosional impacts of the coastal storms. All of the units had a net inland displacement of shoreline position over the survey period, with some short term recovery associated with local pulses of sediment transfer. Sites with ocean exposure were more heavily eroded (Sandy Hook Oceanside, Breezy Point Oceanside, and Great Kills Oceanside), than sheltered sites (Sandy Hook Bayside, Breezy Point Bayside, Great Kills Bayside, Plumb Beach, Miller Field, Fort Wadsworth). A comparison of the shoreline position and profile data from this survey period with those from the previous trend reports highlights the impacts of Hurricane Sandy and the variety of recovery episodes throughout GATE (Psuty et al. 2018). The trend lines for the sites are often divided into pre-Hurricane Sandy (2012) and post- Hurricane Sandy because of the magnitude of the changes to the shoreline position (1D) and coastal topography (2D) metrics. There was considerable resilience in the system to re-establish the dune-beach system, although not in its original location. The continuing negative sediment budget and the increasing rate of relative sea-level rise will result in episodic inland migration of the dune-beach system and will necessitate a concomitant review of the allocation of space for visitor use and recreation.
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Lussier, III, Rutherford Louis L., Montgomery Blake, Boothe Michael T., Dunkerton Mark A., and Timothy J. Examining the Roles of the Easterly Wave Critical Layer and Vorticity Accretion During the Tropical Cyclogenesis of Hurricane Sandy. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada612369.

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Kress, Martin A., and Samuel J. Weintraub. AIS Data Case Study : Selecting Design Vessels for New Jersey Back Bays Storm Surge Barriers Study. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/39779.

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The purpose of this Coastal and Hydraulics Engineering technical note (CHETN) is to describe how historic Automatic Identification System (AIS) vessel position data were used to identify a design vessel for use in a storm surge barrier design study. Specifically, this CHETN describes how the AIS data were accessed, how the universe of vessel data was refined to allow for design vessel selection, and how that selection was used in a storm surge barrier (SSB) study. This CHETN draws upon the New Jersey Back Bays Coastal Storm Risk Management Feasibility Study (USACE-NAP 2019), specifically the Appendix B.2 Engineering Appendix Civil document1. The New Jersey Back Bays Study itself builds upon the work of the North Atlantic Coast Comprehensive Study (NACCS) initiated after Hurricane Sandy in 2012 (USACE 2015a).
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