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Mapping dynamic exposure: constructing GIS models of spatiotemporal heterogeneity in artificial stream systems

Weighman, Kristi Kay
http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1555337508685485

Abstract Details

2019, Master of Science (MS), Bowling Green State University, Biological Sciences.
In flowing environments, the degree of turbulent flow determines the movement and distribution of chemicals. Variation in flow alters the patchiness of toxicant plumes within a stream ecosystem. This patchiness translates into variability in exposure pulses for organisms encountering the toxic plume. Throughout a stream, the processes that give rise to chemical plume structure will vary as a function of local flow characteristics. This research examines the influence of toxicant mode of entry and stream flow velocity on the spatiotemporal patterning of exposure. Two introduction treatments were evaluated: one mimicking groundwater and the other mimicking runoff. The influence of flow regime was examined through the comparison of models constructed under two stream flow velocities. Concentrations of a tracer molecule were recorded using an electrochemical monitoring system. From these localized, direct measurements, geographic information systems (GIS) were used to model exposure throughout the stream. Conceptualizing exposure as a series of toxicant pulses, exposure can be defined using a variety of chemical peak characteristics. Three-dimensional, layered maps were constructed defining exposure as the integrated area of toxicant peaks, the magnitude of peaks, and peak frequency. Differences in the spatial and temporal patterning of exposure were apparent both within treatments and between treatments. No two definitions of exposure yielded the same exposure distributions for any treatment. These models demonstrate that distribution of chemical exposure throughout a stream ecosystem is linked to both toxicant mode of introduction and stream hydrodynamics. Furthermore, these results demonstrate that optimal exposure modeling relies on first defining exposure.
Paul Moore, Dr. (Advisor)
Mamadou Coulibaly, Dr. (Committee Member)
Louise Stevenson, Dr. (Committee Member)
60 p.
Biology; Ecology; Hydrology
ecotoxicology; dynamic exposure; exposure modeling; chemical plume; artificial streams; kriging; spatiotemporal heterogeneity; pulsed exposure; risk assesment; environmental risk assesment; fate and transport; aquatic ecotoxicology

Recommended Citations

Citations

  • Weighman, K. K. (2019). Mapping dynamic exposure: constructing GIS models of spatiotemporal heterogeneity in artificial stream systems [Master's thesis, Bowling Green State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1555337508685485

    APA Style (7th edition)

  • Weighman, Kristi. Mapping dynamic exposure: constructing GIS models of spatiotemporal heterogeneity in artificial stream systems. 2019. Bowling Green State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1555337508685485.

    MLA Style (8th edition)

  • Weighman, Kristi. "Mapping dynamic exposure: constructing GIS models of spatiotemporal heterogeneity in artificial stream systems." Master's thesis, Bowling Green State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1555337508685485

    Chicago Manual of Style (17th edition)

bgsu1555337508685485
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© 2019, all rights reserved.
This open access ETD is published by Bowling Green State University and OhioLINK.