Natural disasters have always been and probably always will be a problem for humans and their settlements. With global warming seemingly increasing the frequency and strength of the climate related disasters, and more and more people being settled in urban centers, the ability to model and predict damage is more important than ever.The aim of this thesis has been to model and analyze a broad range of disaster types and the kind of impact that they have. By modeling damage indices for disaster types as different as hurricanes and volcanic eruptions, the thesis helps with understanding both similarities and differences between how disasters work and what impact they have on societies experiencing them. The thesis comprises four different chapters in addition to this introduction, where all of them include modeling of one or more types of natural disasters and their impact on real world scenarios such as local budgets, birth rates and economic growth.Chapter 2 is titled “Natural Disaster Damage Indices Based on Remotely Sensed Data: An Application to Indonesia". The objective was to construct damage indices through remotely sensed and freely available data. In short, the methodology exploits that one can use nightlight data as a proxy for economic activity. Then the nightlights data is matched with remote sensing data typically used for natural hazard modeling. The data is then used to construct damage indices at the district level for Indonesia, for different disaster events such as floods, earthquakes, volcanic eruptions and the 2004 Christmas Tsunami. The chapter is forthcoming as a World Bank Policy Research Paper under Skoufias et al. (2017a).Chapter 3 utilizes the indices from Chapter 2 to showcase a potential area of use for them. The title is “The Reallocation of District-Level Spending and Natural Disasters: Evidence from Indonesia" and the focus is on Indonesian district-level budgets. The aim was to use the modeled intensity from Chapter 2 to a real world scenario that could affect policy makers. The results show that there is evidence that some disaster types cause districts to move costs away from more general line items to areas such as health and infrastructure, which are likely to experience added pressure due to disasters. Furthermore, volcanic eruptions and the tsunami led to less investment into more durable assets both for the year of the disaster and the following year. This chapter is also forthcoming as a World Bank Policy Research Paper under Skoufias et al. (2017b).The fourth chapter, titled “Urban Global Impact of Earthquakes from 2004 through 2013", is a short chapter focusing on earthquake damage and economic growth. This chapter is an expansion of the index used in the previous two chapters, where we use global data instead of focusing on a single country. Using a comprehensive remotely sensed dataset of contour mapsof global earthquakes from 2004 through 2013 and utilizing global nightlights as an economic proxy we model economic impact in the year of the quakes and the year after. Overall, it is shown that earthquakes negatively impact local urban light emissions by 0.7 percent.Chapter 5 is named “A Whirlwind Romance: The Effect of Hurricanes on Fertility in Early 20th Century Jamaica" and deviates from the prior chapters in that it is a historical chapter that looks at birth rates in the early 1900s. The goal was to use the complete and long-term birth database for Jamaica and match this with hurricane data to check fertility rates. We create a hurricane destruction index derived from a wind speed model that we combine with data on more than 1 million births across different parishes in Jamaica. Analyzing the birth rate following damaging hurricanes, we find that there is a strong and significant negative effect of hurricane destruction on the number of births. / Natural disasters have always been and probably always will be a problem for humans and their settlements. With global warming seemingly increasing the frequency and strength of the climate related disasters, and more and more people being settled in urban centers, the ability to model and predict damage is more important than ever.The aim of this thesis has been to model and analyze a broad range of disaster types and the kind of impact that they have. By modeling damage indices for disaster types as different as hurricanes and volcanic eruptions, the thesis helps with understanding both similarities and differences between how disasters work and what impact they have on societies experiencing them. The thesis comprises four different chapters in addition to this introduction, where all of them include modeling of one or more types of natural disasters and their impact on real world scenarios such as local budgets, birth rates and economic growth.Chapter 2 is titled “Natural Disaster Damage Indices Based on Remotely Sensed Data: An Application to Indonesia". The objective was to construct damage indices through remotely sensed and freely available data. In short, the methodology exploits that one can use nightlight data as a proxy for economic activity. Then the nightlights data is matched with remote sensing data typically used for natural hazard modeling. The data is then used to construct damage indices at the district level for Indonesia, for different disaster events such as floods, earthquakes, volcanic eruptions and the 2004 Christmas Tsunami. The chapter is forthcoming as a World Bank Policy Research Paper under Skoufias et al. (2017a).Chapter 3 utilizes the indices from Chapter 2 to showcase a potential area of use for them. The title is “The Reallocation of District-Level Spending and Natural Disasters: Evidence from Indonesia" and the focus is on Indonesian district-level budgets. The aim was to use the modeled intensity from Chapter 2 to a real world scenario that could affect policy makers. The results show that there is evidence that some disaster types cause districts to move costs away from more general line items to areas such as health and infrastructure, which are likely to experience added pressure due to disasters. Furthermore, volcanic eruptions and the tsunami led to less investment into more durable assets both for the year of the disaster and the following year. This chapter is also forthcoming as a World Bank Policy Research Paper under Skoufias et al. (2017b).The fourth chapter, titled “Urban Global Impact of Earthquakes from 2004 through 2013", is a short chapter focusing on earthquake damage and economic growth. This chapter is an expansion of the index used in the previous two chapters, where we use global data instead of focusing on a single country. Using a comprehensive remotely sensed dataset of contour mapsof global earthquakes from 2004 through 2013 and utilizing global nightlights as an economic proxy we model economic impact in the year of the quakes and the year after. Overall, it is shown that earthquakes negatively impact local urban light emissions by 0.7 percent.Chapter 5 is named “A Whirlwind Romance: The Effect of Hurricanes on Fertility in Early 20th Century Jamaica" and deviates from the prior chapters in that it is a historical chapter that looks at birth rates in the early 1900s. The goal was to use the complete and long-term birth database for Jamaica and match this with hurricane data to check fertility rates. We create a hurricane destruction index derived from a wind speed model that we combine with data on more than 1 million births across different parishes in Jamaica. Analyzing the birth rate following damaging hurricanes, we find that there is a strong and significant negative effect of hurricane destruction on the number of births.

Within the growing concern about the short-term and lasting impacts of natural hazard-based disasters on lives, livelihoods and economies, the ability to manage disaster and climate risk is central to sustainable development. As many recent disasters are directly or indirectly related to weather or climate, and with the expectation that climate variability and change may exacerbate the frequency and/or intensity of related hazards and extreme weather events, climate information has become a critical component of disaster and climate risk management. However, despite its increasing use, as well as money, time and effort into gathering and processing the relevant data, few studies highlight the connection between climate information and development outcomes. Using a Caribbean lens, this dissertation explores how the awareness, provision and use of weather and climate information, including storm advisories/forecasts and satellite-based rainfall data, may be linked to development outcomes, both in terms of localized impacts of weather- and climate-related events but also within the wider macro-economy. I explore if development outcomes may vary by event day-of-week timing (hypothesizing a relation to possible differences in climate information provision), study whether there may be a human element of improving climate information, and analyze climate information details to best understand its potential use in Caribbean small states. Such research aligns well with ongoing efforts to understand and predict extreme events, as well as connect disasters to socio-economic outcomes, and can also enrich perspectives which concern assessing vulnerability to disasters and recommending solutions to improve risk communication and strengthen disaster preparedness and resilience.

Thesis (Ph. D.)--University of Oregon, 2001. / Typescript. Includes vita and abstract. Includes bibliographical references (leaves 222-231). Also available for download via the World Wide Web; free to University of Oregon users.

Thesis (M.S.)--Mississippi State University. Department of Geosciences. / Title from title screen. Includes bibliographical references.

Worldwide, the risks from natural and technological hazards has been mounting at an accelerating rate, improvements in forecasting and warning systems have reduced deaths, however monetary losses from disasters are overwhelming (Burby, 2004). Pre event planning for recovery helps to resolve issues before a disaster so recovery is more efficient and effective. It also ensures that the window of opportunity can be used to implement hazard mitigation measures to reduce the vulnerability of the area with the aim of improving resilience for the next disaster. International case studies were examined, the Northridge earthquake being the most successful recovery while Hurricane Katrina the least. The recovery of the Napier 1931 earthquake was chosen as a New Zealand case study; to date this is the country's worst disaster. Overall the recovery of Napier was a success, shops were opened in temporary premises to keep the economy going and mitigation measures were included in the rebuilding. The earthquake has had important flow on effects on the way that disasters are managed in New Zealand. To create pre event plans in New Zealand legislation needs to be modified, including recovery plans and development of shortcuts to reduce some procedures which lengthen the recovery process. These plans need to take into account our national vulnerability as well as regional vulnerabilities.

Thesis (M.Soc.Sc.)--University of Waikato, 2007. / Title from PDF cover (viewed May 2, 2008) Includes bibliographical references (p. 161-182)

Thesis (Ph. D.)--Ohio State University, 2007.

Thesis (Ph. D.)--Rutgers University, 2007. / "Graduate Program in Planning and Public Policy." Includes bibliographical references (p. 246-250).

Thesis (B.S.)--University of Wisconsin -- La Crosse, 2009. / Also available online. Includes bibliographical references (leaves 26-27).

Currently some confusion exists as to how health professionals should best respond to the psychological needs of those affected by disasters. Some have argued that early psychological intervention is essential and others have argued that early formal psychological interventions have no useful role in post trauma response. This study highlights the importance of considering both counselling and non-counselling factors as potentially influencing the psychosocial response of disaster victims. Although posttraumatic stress disorder (PTSD) is not the only mental disorder that can develop as a result of exposure to disasters, it is probably the most frequent and debilitating psychological disorder associated with traumatic stress. In this exploratorydescriptive study the researcher aimed to explore and describe psychologists’ perceived influences of early strategies on the psychosocial response to those affected by disaster. The researcher used non-probability snowball sampling to access participants. The sample consisted of 5 participants. Semi structured interviews were conducted. Content analysis was used to analyse the data obtained from interviews. Results that emerged from the data suggest that there are many factors that influence the psychosocial response to those affected by disasters. These factors include the screening process, needs of survivors, the method of choice for treatment, the timing of intervention, pharmacology, the South African context, training and planning. The study makes a contribution to the growing knowledge of early strategies in response to those affected by disasters.