Glen Helen and Little Miami River Water Quality Fall 2015

Service Learning Intensive (SVI) - a teaching and learning pedagogy that engages faculty, students, and community members in a partnership to achieve academic learning objectives, meet community needs, promote civic responsibility, and reflect on the learning experience. More specifically, the objectives for this course are for students to: Apply environmental chemistry concepts learned in the classroom to the interpretation environmental analysis results Use Good Laboratory Practice (GLP) through the use of Standard Operating Procedures (SOPs) and EPA methods for the analysis of metals, anions, dissolved oxygen, pH, temperature, conductivity, ammonia, and turbidity Follow up on previous years’ results showing elevated E. coli and nitrates at some sites Present results to key stakeholders in the Village of Yellow Springs and Greene County Perform residential well sampling Complete periodic written reflections to tie classroom, laboratory, field, and community service experiences togethe

Comparative analysis of bore propagation over long distances using conventional linear and KdV-based nonlinear Fourier transform

10.1016/j.wavemoti.2022.102905WAVE MOTION11

Comparative analysis of bore propagation over long distances using conventional linear and KdV-based nonlinear Fourier transform

In this paper, we study the propagation of bores over a long distance. We employ experimental data as input for numerical simulations using COULWAVE. The experimental flume is extended numerically to an effective relative length of x/h=3000, which allows all far-field solitons to emerge from the undular bore in the simulation data. We apply the periodic KdV-based nonlinear Fourier transform (KdV-NFT) to the time series taken at different numerical gauges and compare the results with those of the conventional Fourier transform. We find that the periodic KdV-NFT reliably predicts the number and the amplitudes of all far-field solitons from the near-field data long before the solitons start to emerge from the bore, even though the propagation is only approximated by the KdV. It is the first time that the predictions of the KdV-NFT are demonstrated over such long distances in a realistic set-up. In contrast, the conventional linear FT is unable to reveal the hidden solitons in the bore. We repeat our analyses using space instead of time series to investigate whether the space or time version of the KdV provides better predictions. Finally, we show how stepwise superposition of the determined solitons, including the nonlinear interactions between individual solitons, returns the analysed initial bore data.Team Sander Wahl