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Seminar: Kung-Sik Chan

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January 25, 2013 @ 1:30 pm - 2:30 pm

“Threshold dynamic regression and control — Manipulating residence time in a reservoir to reduce downstream nitrate-nitrogen concentrations”

Presented by: Kung-Sik Chan
Professor, Statistics & Actuarial Science

 

Abstract:

We extend the open-loop threshold model, introduced by Tong, by allowing the errors to be some ARIMA process. We introduce a consistent identification procedure for the extended model. The new approach is applied to model the reservoir effect in reducing nitrate-nitrogen (nitrate) concentration in river water, using data from the Saylorville Lake (reservoir) on the Des Moines river  in Iowa, USA. Our findings quantify the pivotal role of  the water residence time in the nitrate removal process in a reservoir. More importantly, the findings suggest a new approach to reduce nitrate concentration in river water by manipulating water residence time via controlling discharge from the reservoir. Simulation results show the effectiveness of a simple control scheme based on this new approach.

 

 

Details

Date:
January 25, 2013
Time:
1:30 pm - 2:30 pm

Venue

Stanley Hydraulics Lab
100 SHL
Iowa City, IA 52242 United States
+ Google Map
Phone:
319-335-5237
Posted on January 4th, 2013

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