Lessons learned from the 2013 Calgary flood: Assessing risk of drinking water well contamination

Eccles, Kristin M.; Checkley, Sylvia; Sjogren, Darren; Barkema, Herman W.; Bertazzon, Stefania

doi:10.1016/j.apgeog.2017.02.005

Cited by 24 publications

(20 citation statements)

References 18 publications

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“…Weather or climatic conditions (eg, flooding), old, damaged or uncapped wells, proximity to potential contaminant sources such as manure, sewage, landfills, industrial activities, formation of biofilm in the well, and the natural geology of the aquifer are all factors that may be associated with well contamination. 14-17…”

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confidence: 99%

Exploring Well Water Testing Behaviour Through the Health Belief Model

Munene

Lockyer

Checkley

et al. 2020

Environ�Health�Insights

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Health problems can arise from consuming contaminated well water. Well water testing can help prevent negative health outcomes associated with consuming contaminated water. The aim of this study was to understand the factors influencing well owner decisions to conduct water testing through the theoretical lens of the Health Belief Model. We conducted semi-structured interviews with 20 well owners and used framework analysis to sort and analyse the data. The results demonstrated that well owners’ perceived susceptibility to well water contamination was low, while the perceived severity of contamination, benefits of testing, and self-efficacy towards testing were high. Cues to action to promote testing focused on increasing well owner education and awareness through well stewardship programmes and reminders to test. Participants faced some barriers to water testing. Increasing education and awareness about well water contamination and water testing, while reducing logistical barriers to testing, may improve compliance with water testing.

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confidence: 99%

Exploring Well Water Testing Behaviour Through the Health Belief Model

Munene

Lockyer

Checkley

et al. 2020

Environ�Health�Insights

Self Cite

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“…We further investigate the nature of potential physical exposures by focusing on statewide groundwater contamination. During Hurricane Irene, over 2 million individuals that represent over 20% of North Carolina's population (24) relied on private wells that are federally unregulated and particularly vulnerable to contamination from severe weather and flooding events (25)(26)(27)(28).…”

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Expecting Mother Nature: Uncertain Hurricane Forecasts Disrupt Prenatal Care and Impair Birth Outcomes

Hochard¹,

Li²

2021

Preprint

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Early forecasts give people in a storm's path time to prepare. Less is known about the cost to society when forecasts are incorrect. We examine over 700,000 births in the path of Hurricane Irene and find exposure led to a decrease in birth weights and increase in preterm and low birth weight outcomes. Additional warning time decreased preterm birth rates for women who experienced intense storm exposures documenting a benefit of avoiding a type II forecasting error. A larger share of this at-risk population experienced a type I forecasting error where severe physical storm impacts were anticipated but not experienced. Disaster anticipation disrupted healthcare services by delaying and canceling prenatal care leading to impaired birth outcomes. Recognizing storm damages depend on human responses to predicted storm paths is critical to supporting the next generation's developmental potential with judicious forecasts that ensure public warning systems mitigate rather than exacerbate climate damages.

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“…Water-borne outbreaks are an acute aftermath of flood disasters, mainly as a result of contaminated drinking water supply and poor access to waste management and healthcare services (Brown and Murray, 2013), but little is known about the concentration of pathogens on different surfaces after the recession of floodwater (Hellberg and Chu, 2016). Several studies have shown that water-borne pathogens from human and animal sources are present on flooded surfaces (Andrade et al, 2018;Rui et al, 2018;Sales-Ortells and Medema, 2015;ten Veldhuis et al, 2010) in concentrations higher than prior to flooding (Eccles et al, 2017). For example, a five-fold increase in the levels of E. coli was observed in the Salinas Valley, California, USA during months with a high water flow and frequent flooding downstream (Cooley et al, 2007).…”

Section: Survival Conditions On Different Urban Surfacesmentioning

confidence: 99%

Assessment of the Fate of Surrogates for Enteric Pathogens Resulting from the Surcharging of Combined Sewer Systems

Scoullos¹

2021

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καὶ ἐὰν εἰδῶ τὰ μυστήρια πάντα καὶ πᾶσαν τὴν γνῶσιν, ἀγάπην δὲ μὴ ἔχω, οὐδέν εἰμι To my parents vii ACKNOWLEDGMENTSThe completion of this thesis has been an exciting and wonderful journey that I travelled together with many people to whom I am extremely grateful. The gradual deepening into mechanisms taking place in nature, for the benefit of society and the environment, is perhaps the most rewarding experience for the time, resources and energy invested.First of all, my research and this PhD thesis would not be possible without the valuable Scholarship from the Academy of Athens from the Vasiliki Bekiari-Vekri Bequest and a Research Grant from the Alexander S. Onassis Public Benefit Foundation. I am deeply grateful for this opportunity to deepen my knowledge and to strengthen my commitment in finding practical solutions for a sustainable future. I would like to thank my promotor, Professor Dr. Damir Brdjanovic for giving me the opportunity to do a PhD and for his overall supervision, guidance and support since the first day I arrived in Delft. I am very thankful for his important expertise and contribution in formulating this very interesting topic and during all the stages towards the completion of my thesis. Thank you very much! Second, I would like to thank my mentor Dr. Carlos Lopez Vazquez for his day to day supervision, guidance and countless hours of meetings. Carlos, you know in detail all the stages of my PhD research, all the challenges I met, how I managed to overcome them and how I have changed. Thank you for everything! I would like to equally thank Dr. Jack van de Vossenberg for mentoring me in the second half of my PhD. Thank you, Jack, for your invaluable ideas and support! In difficult times you helped me see things in a positive way and you helped me believe in my skills. I would also like to thank Dr. Michael Hammond, who mentored me in the first half of my research. Thank you for your support, your ideas and your encouragement. Sabita, my amazing MSc student, I would like to add you in this list just after my mentors, because although you were my student I learned a lot from you. Your contribution in the research, your self-motivation, your willingness to learn and your smile even in times of desperation motivated me too and I am grateful that I had the opportunity to work with you.I would like to thank Prof. Maria Kennedy for her important input as member of my proposal defence committee and all the reviewers of my PhD proposal, my papers and my thesis.

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Lessons learned from the 2013 Calgary flood: Assessing risk of drinking water well contamination

Cited by 24 publications

References 18 publications

Exploring Well Water Testing Behaviour Through the Health Belief Model

Exploring Well Water Testing Behaviour Through the Health Belief Model

Expecting Mother Nature: Uncertain Hurricane Forecasts Disrupt Prenatal Care and Impair Birth Outcomes

Assessment of the Fate of Surrogates for Enteric Pathogens Resulting from the Surcharging of Combined Sewer Systems

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