533 research outputs found

    Applications of aerospace technology in the public interest: Pollution measurement

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    This study of selected NASA contributions to the improvement of pollution measurement examines the pervasiveness and complexity of the economic, political, and social issues in the environmental field; provides a perspective on the relationship between the conduct of aerospace R and D and specific improvements in on site air pollution monitoring equipment now in use; describes the basic relationship between the development of satellite-based monitoring systems and their influence on long-term progress in improving environmental quality; and comments on how both instrumentation and satellite remote sensing are contributing to an improved environment. Examples of specific gains that have been made in applying aerospace R and D to environmental problem-solving are included

    Exploring the data needs and sources for severe weather impact forecasts and warnings : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Emergency Management at Massey University, Wellington, New Zealand

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    Figures 2.4 & 2.5 are re-used with permission.The journal articles in Appendices J, L & M are republished under respective Creative Commons licenses. Appendix K has been removed from the thesis until 1 July 2022 in accordance with the American Meteorological Society Copyright Policy, but is available open access at https://doi.org/10.1175/WCAS-D-21-0093.1Early warning systems offer an essential, timely, and cost-effective approach for mitigating the impacts of severe weather hazards. Yet, notable historic severe weather events have exposed major communication gaps between warning services and target audiences, resulting in widespread losses. The World Meteorological Organization (WMO) has proposed Impact Forecasts and Warnings (IFW) to address these communication gaps by bringing in knowledge of exposure, vulnerability, and impacts; thus, leading to warnings that may better align with the position, needs, and capabilities of target audiences. A gap was identified in the literature around implementing IFWs: that of accessing the required knowledge and data around impacts, vulnerability, and exposure. This research aims to address this gap by exploring the data needs of IFWs and identifying existing and potential data sources to support those needs. Using Grounded Theory (GT), 39 interviews were conducted with users and creators of hazard, impact, vulnerability, and exposure (HIVE) data within and outside of Aotearoa New Zealand. Additionally, three virtual workshops provided triangulation with practitioners. In total, 59 people participated in this research. Resulting qualitative data were analysed using GT coding techniques, memo-writing, and diagramming. Findings indicate a growing need for gathering and using impact, vulnerability, and exposure data for IFWs. New insight highlights a growing need to model and warn for social and health impacts. Findings further show that plenty of sources for HIVE data are collected for emergency response and other uses with relevant application to IFWs. Partnerships and collaboration lie at the heart of using HIVE data both for IFWs and for disaster risk reduction. This thesis contributes to the global understanding of how hydrometeorological and emergency management services can implement IFWs, by advancing the discussion around implementing IFWs as per the WMO’s guidelines, and around building up disaster risk data in accordance with the Sendai Framework Priorities. An important outcome of this research is the provision of a pathway for stakeholders to identify data sources and partnerships required for implementing a hydrometeorological IFW system

    Diseño de una aplicación de monitoreo de emanación de gases en la ciudad mediante el uso de tecnologías de inteligencia artificial

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    El presente trabajo de investigación realiza una revisión de referencias bibliográficas relacionadas a sistemas de monitoreo y modelos de pronóstico de contaminación atmosférica basados en técnicas de inteligencia artificial. La revisión consta principalmente de artículos de investigación científica obtenidos de bases de datos revistas indexadas, donde se exponen sus principales hallazgos, así como se presentan puntos de encuentro y desencuentro entre los diferentes autores. Finalmente, se presentan las conclusiones obtenidas a partir de la síntesis de la información revisada.Trabajo de investigaciónCampus Lima Centr

    Proceedings of Abstracts 12th International Conference on Air Quality Science and Application

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    © 2020 The Author(s). This an open access work distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.Final Published versio

    When Disparities Become Deadly: Spatial Differences in PM2.5 Levels Within the City of Pomona, California

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    This thesis discusses the disparities in particulate matter concentrations between different neighborhoods in the city of Pomona, California, and explores the historical, political and social factors that have shaped these spatial patterns. I argue that urban growth patterns in Pomona, which are historically marked by race and class segregation as a consequence of past discriminatory housing practices, have led to the disproportionate concentrations of air pollutants in low-income, Latino communities in South Pomona. Due to the absence of a local air quality monitoring system, there is a lack of information about and understanding of how poor air quality may be in part responsible for the high prevalence of cardiovascular and respiratory illnesses among South Pomona residents. I carry out a pilot study in which I measure PM2.5 level in different residential locations in Pomona to demonstrate the significant variation in air quality, even at a local level. I find that low-income, Latino communities are exposed to significantly higher levels of PM2.5 than richer, non-Latino white communities, and that the I-10 freeway is a significant source of pollution that could account for the marked differences in PM2.5 between North and South Pomona. I conclude my thesis with regional and local recommendations to address the environmental justice issue of air pollution in Pomona

    Mining social media data for biomedical signals and health-related behavior

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    Social media data has been increasingly used to study biomedical and health-related phenomena. From cohort level discussions of a condition to planetary level analyses of sentiment, social media has provided scientists with unprecedented amounts of data to study human behavior and response associated with a variety of health conditions and medical treatments. Here we review recent work in mining social media for biomedical, epidemiological, and social phenomena information relevant to the multilevel complexity of human health. We pay particular attention to topics where social media data analysis has shown the most progress, including pharmacovigilance, sentiment analysis especially for mental health, and other areas. We also discuss a variety of innovative uses of social media data for health-related applications and important limitations in social media data access and use.Comment: To appear in the Annual Review of Biomedical Data Scienc

    Modeling PM 2.5

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    Environmental, Health and Economic Conditions during the COVID-19 Pandemic

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    The spread of coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has evolved as a global pandemic and the disease has affected nearly every country and region. This pandemic has posed further threats to people due to the emergence of the number of novel SARS-CoV-2 strains with unknown original hosts. Since the start of the pandemic, COVID-19 has overwhelmed health systems worldwide, from crippling health resources to causing paradigms shifts in health care delivery. The various strategies taken to control viral transmission including testing process, quarantine and isolation have had dire psychological and financial implications on individuals and institutions. Furthermore, many countries have implemented lockdowns and other restrictions to curb the virus’s spread resulted in disrupted formal education, unplanned fiscal costs on emergency reliefs, and decreased productivity. This Special Issue provides an avenue for authors from various disciplines to better understand the risk factors associated with the spread and severity of COVID-19 infections. It also provides information about the influence of COVID-19 and its countermeasures on local economies, the environment, and mental health. This Special Issue contains 11 research articles and one review
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