HR: 0800h
AN: H51B-0452    [Abstracts]
TI: Experimental Study and Modeling of the Stream-Subsurface Exchange of p,p'-DDE in the Presence of Naturally Occurring Fine Particles
AU: * Camarena, C
EM: ccamarena@even.tamuk.edu
AF: Texas A&M University Kingsville, EVEN Central Office: 700 University Blvd. MSC 213, Kingsville, TX 78363,
AU: Otero, D
EM: dotero@even.tamuk.edu
AF: Texas A&M University Kingsville, EVEN Central Office: 700 University Blvd. MSC 213, Kingsville, TX 78363,
AU: Ren, J
EM: jren@even.tamuk.edu
AF: Texas A&M University Kingsville, EVEN Central Office: 700 University Blvd. MSC 213, Kingsville, TX 78363,
AU: Burton, A
EM: allen.burton@wright.edu
AF: Wright State University, 3640 Colonel Glenn Hwy, Dayton, OH 45435,
AU: Packman, A
EM: a-packman@northwestern.edu
AF: Northwestern University, 2145 Sheridan Road, Evanston, IL 60208,
AB: The stream-subsurface exchange process plays a significant role in the fate and transport of contaminants in streams due to the increased interactions between contaminants and bed sediments. The presence of suspended sediments such as naturally occurring fine particles is known to introduce large reactive surface areas which allow them to sorb contaminants and modify the contaminant behavior in natural streams. In this study, experiments were conducted in a recirculating flume to investigate the stream-subsurface exchange of p,p'-DDE in the presence of kaolinite colloids and natural river sediments. p,p'-DDE was analyzed using a gas chromatography with an electron capture detector combined with a solid-phase microextraction (SPME) technique. A process-based multi-phase exchange model considering kinetic sorption/desorption of DDE to both the bed sediments and suspended particles was applied to interpret the experimental results. The model input parameters were obtained using independent small-scale batch experiments. Results presented here will contribute to the mechanistic understanding of the complex transport processes in natural streams and to the development of reliable, predictive models for the assessment of contaminated streams.
DE: 1847 Modeling
DE: 1862 Sediment transport (4558)
DE: 1871 Surface water quality
SC: Hydrology [H]
MN: 2007 Fall Meeting