Browsing by Author "Keeler, Bonnie L"

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    Climate change projections for improved management of infrastructure, industry, and water resources in Minnesota
    (2019-09-15) Noe, Ryan R; Keeler, Bonnie L; Twine, Tracy E; Brauman, Kate A; Mayer, Terin; Rogers, Maggie
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    Dynamically downscaled CMIP5 climate projection data for Minnesota
    (2022-01-25) Liess, Stefan; Twine, Tracy E; Snyder, Peter K; Hutchison, William D; Konar-Steenberg, Gabriel; Keeler, Bonnie L; Brauman, Kate A; liess@umn.edu; Liess, Stefan
    This dataset contains climate projections over Minnesota at 10 km horizontal resolution. Eight CMIP5 global climate models have been dynamically downscaled with the regional WRF model for the periods 1980-1999, 2040-2059, and 2080-2099, with the latter being represented as a moderate (RCP4.5) and also as an extreme "business as usual" scenario (RCP8.5). The projections suggest ongoing warming in all seasons, especially in winter, as well as reduced snow depth and fewer days with snow cover. Significant increases in spring and early summer heavy precipitation events are expected. The other variables in this dataset are daily max. and min. temperatures, relative humidity, latent heat flux (as proxy for evaporation), sensible heat flux, ground heat flux, incoming solar radiation, total radiation, snow depth, and wind speed. Temperatures, precipitation, and snow depth are also available as bias adjusted. Results indicate a climate near the end of the 21st century that is significantly different from what has been observed by the end of the 20th century. Winters and summers are expected to be up to 6C and 4C warmer, respectively, and spring precipitation may increase by more than 1 mm per day over northern Minnesota. Winter snow depth is projected to decrease by more than 12 cm and the number of days per year with snow depth of more than 2.54 cm (one inch) is expected to decrease by up to 55. These results are expected to influence regional decision-making related to agriculture, infrastructure, water resources, and other sectors.
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    Relative Risk and Health Condition Parameters used to estimate Health Damages Associated with Drinking Water Nitrate Contamination in MN Cities
    (2023-05-25) Mayer, Terin V; Keeler, Bonnie L; terin.mayer@gmail.com; Mayer, Terin V; Keeler Lab
    Despite the fact that clean water regularly rates among the public’s top environmental priorities, economic analyses of clean water interventions often fail to find positive benefit to cost ratios. We pursue the notion that this is due to uncounted benefits, expanding research on avoidable health costs attributable to drinking water nitrate contamination. We consider fifteen adverse health conditions linked by epidemiological evidence to elevated levels of drinking water nitrate, calculating counts of nitrate-attributable cases for each municipal water supply in Minnesota and associated monetary costs. In addition to estimating the costs of direct medical services and avoided fatality, we apply the quality adjusted life year (QALY) approach to monetize the quality of life impacts of morbidity. The files in this repository entry represent the relative risk estimates and other parameters necessary to calculate these mortality and morbidity costs.