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An Evaluation of Seasonality through Four Delineation Methods: A Comparison of Mortality Responses and the Relationship with Anomalous Temperature Events

Allen, Michael James
http://rave.ohiolink.edu/etdc/view?acc_num=kent1405326473

Abstract Details

2014, PHD, Kent State University, College of Arts and Sciences / Department of Geography.
Structured into three, interrelated projects, this dissertation is organized under the research themes of climate change and human mortality responses associated with heat and cold events. Using diverse, methodologies which incorporate spatiotemporal variability into seasonal definitions, consistent results were found pertaining to seasonal climate change. Climatological data for 60 U.S. locations was chosen for a lengthy period of record (1948 – 2012), and despite the various delineation methods, results generally indicate earlier starts to summer while winters have become shorter. Using percentile thresholds of daily mean apparent temperature, heat, extreme heat, cold, and extreme cold events (anomalous temperature events or ATEs) were defined and analyzed. In addition to increased frequency and duration, heat and extreme heat events have started earlier over the course of the year since 1948. Conversely, cold and extreme cold have shown the opposite with less frequent, shorter, and later occurring events taking place. While not directly explored, a relationship with ATEs and large-scale teleconnection patterns such as El Niño seems to exist. In bioclimatological research, human health responses have been associated with duration, intensity, and seasonal timing. When comparing mortality responses, a relatively unexplored method in climatology was introduced. More common in epidemiological research, a distributed lag non-linear model (DLNM) assessed the delayed, non-linear responses associated with environmental outcomes. In regards to both heat and cold events, greater risk was associated with early season events compared to later occurring ones. Elevated thresholds of extreme heat and extreme cold showed higher risks when compared to less extreme events. Geographic variability was also shown with higher risks for heat-related mortality in more northern locations while cold-related risks were higher in locations less accustomed to heat. Comparing mortality responses following ATEs, the consistent relationships were found, irrespective of seasonal and ATE definitions. Understanding the relationship between human health outcomes, changing seasons, and anomalous temperature events will remain an emphasis of future climate-health research. With projected changes to the climate system, future research may further examine differential responses which may be dependent on age, sex, cause of death, and race.
Scott Sheridan (Advisor)
Tom Schmidlin (Committee Member)
Andrew Curtis (Committee Member)
Lynette Phillips (Committee Member)
Ellen Glickman (Committee Member)
417 p.
Climate Change; Geography; Public Health
Seasonality; Climate Change; Heat Waves; Cold Spells; Bioclimatology; Distributed Lag Non-Linear Model

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Citations

  • Allen, M. J. (2014). An Evaluation of Seasonality through Four Delineation Methods: A Comparison of Mortality Responses and the Relationship with Anomalous Temperature Events [Doctoral dissertation, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1405326473

    APA Style (7th edition)

  • Allen, Michael. An Evaluation of Seasonality through Four Delineation Methods: A Comparison of Mortality Responses and the Relationship with Anomalous Temperature Events. 2014. Kent State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=kent1405326473.

    MLA Style (8th edition)

  • Allen, Michael. "An Evaluation of Seasonality through Four Delineation Methods: A Comparison of Mortality Responses and the Relationship with Anomalous Temperature Events." Doctoral dissertation, Kent State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=kent1405326473

    Chicago Manual of Style (17th edition)

kent1405326473
361
© 2014, all rights reserved.
This open access ETD is published by Kent State University and OhioLINK.