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File Preview Example Problem A pulse tracer experiment was conducted on a constructed wetland. The results of the experiment are shown in the following figure. Mathematical models (E curves) were plotted assuming that the system behaved as a CMFR in varying number of tanks or compartments (N). Which model best fits the experimental data? 400 0.016 350 0.014 300 0.012 250 0.01 Experimental Data 200 0.008 N=4 150 0.006 N=9 100 0.004 N=20 50 0.002 0 0 0 50 100 150 Time (hr) 200 250 300

File Preview Example Problem A pulse tracer experiment was conducted on a constructed wetland. The results of the experiment are shown in the following figure. Mathematical models (E curves) were plotted assuming that the system behaved as a CMFR in varying number of tanks or compartments (N). Which model best fits the experimental data? 400 0.016 350 0.014 300 0.012 250 0.01 Experimental Data 200 0.008 N=4 150 0.006 N=9 100 0.004 N=20 50 0.002 0 0 0 50 100 150 Time (hr) 200 250 300

Advanced Engineering Mathematics
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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File Preview Example Problem A pulse tracer experiment was conducted on a constructed wetland. The results of the experiment are shown in the following figure. Mathematical models (E curves) were plotted assuming that the system behaved as a CMFR in varying number of tanks or compartments (N). Which model best fits the experimental data? 400 0.016 350 0.014 300 0.012 250 0.01 Experimental Data 200 0.008 N=4 150 0.006 N=9 100 0.004 N=20 50 0.002 0 0 0 50 100 150 Time (hr) 200 250 300
Transcribed Image Text:File Preview Example Problem A pulse tracer experiment was conducted on a constructed wetland. The results of the experiment are shown in the following figure. Mathematical models (E curves) were plotted assuming that the system behaved as a CMFR in varying number of tanks or compartments (N). Which model best fits the experimental data? 400 0.016 350 0.014 300 0.012 250 0.01 Experimental Data 200 0.008 N=4 150 0.006 N=9 100 0.004 N=20 50 0.002 0 0 0 50 100 150 Time (hr) 200 250 300
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