Software packages that model geochemical speciation and complexation are useful for predicting how different materials such as heavy
metals and organic matter interact with the environment. The East Fork Poplar Creek (EFPC) in Oak Ridge, Tennessee suffers from extensive
mercury pollution as a result of post-WWII activities to develop thermonuclear weapons. A current model that predicts the speciation of
mercury and methylmercury species treats dissolved organic matter (DOM) as a single entity instead of a multidimensional and multisite
molecule. The Humic-Ion Binding Model VII is a discrete multisite model implemented by default in the WHAM7 software that represents binding
behavior between protons, metal cations, and humic substances. Implementing Model VII into the current EFPC model using the PHREEQC
speciation program can predict site interactions of organic matter with mercury and methylmercury. Adding surface complexation to the model
shows a substantial increase in the amount of methylmercury bound to DOM compared to the original model. Thus, when appropriate, employing a
surface complexation model in geochemical simulations should be considered. / A Thesis submitted to the Department of Scientific Computing in partial fulfillment of the requirements for
the degree of Master of Science. / Fall Semester 2017. / November 14, 2017. / Includes bibliographical references. / Ming Ye, Professor Directing Thesis; Sachin Shanbhag, Committee Member; Chen Huang, Committee
Member.
| Identifer | oai:union.ndltd.org:fsu.edu/oai:fsu.digital.flvc.org:fsu_605004 |
| Contributors | Pham, Serena Otsuka (author), Ye, Ming (professor directing thesis), Shanbhag, Sachin (committee member), Huang, Chen (committee member), Florida State University (degree granting institution), College of Arts and Sciences (degree granting college), Department of Scientific Computing (degree granting departmentdgg) |
| Publisher | Florida State University |
| Source Sets | Florida State University |
| Language | English, English |
| Detected Language | English |
| Type | Text, text, master thesis |
| Format | 1 online resource (48 pages), computer, application/pdf |
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