کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9491346 | 1630180 | 2005 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
High concentration suspended sediment measurements using a continuous fiber optic in-stream transmissometer
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
فرآیندهای سطح زمین
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
Suspended sediment loads mobilized during high flow periods in rivers and streams are largely uncharacterized. In smaller and intermittent streams, a large storm may transport a majority of the annual sediment budget. Therefore, monitoring techniques that can measure high suspended sediment concentrations at semi-continuous time intervals are needed. A fiber optic in-stream transmissometer (FIT) is presented and laboratory tested for continuous measurement of high concentration suspended sediment in flowing water. FIT performance and precision were demonstrated to be reasonably good for suspended sediment concentrations up to 10Â g/L. The FIT was compared in laboratory tests to two commercially available turbidity devices and provided better precision and accuracy at both high and low concentrations. Both turbidity devices were unable to collect measurements at concentrations greater than 4Â g/L. The FIT and turbidity measurements were sensitive to sediment particle size. Particle size dependence of transmittance and turbidity measurement poses the greatest problem for calibration to suspended sediment concentration. While the FIT was demonstrated to provide acceptable measurements of high suspended sediment concentrations in these studies, approaches to real-time suspended sediment detection need to address the particle size dependence in concentration measurements.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Hydrology - Volume 311, Issues 1â4, 15 September 2005, Pages 244-253
Journal: Journal of Hydrology - Volume 311, Issues 1â4, 15 September 2005, Pages 244-253
نویسندگان
Chris G. Campbell, Danny T. Laycak, William Hoppes, Nguyen T. Tran, Frank G. Shi,