Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/2903
Title: Modeling the performance of sand filters for removing runoff suspended sediment
Authors: Los Alamos Technical Associates.
Environmental Quality and Installations Research Program (U.S.)
Dortch, Mark S.
Keywords: Sediment trapping
Filter stage
Flow
Clogging
Filter effective life
Geotextiles
Firing ranges
Runoff
Environmental Quality and Installations (EQI) Green Range Research Program
Publisher: Environmental Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Series/Report no.: ERDC/EL CR ; 13-3.
Description: Contract Report
Abstract: Geotextile tubes filled with sand are being evaluated for filter treatment of runoff containing lead and other metals stemming from firing small arms on military training ranges. Such filter tubes trap total suspended sediment (TSS) in the runoff, thus removing most of the metals, which are adsorbed to the sediment. Mathematical models were developed within two Excel workbooks to assess sand filter performance for a cascade of filters capturing runoff from the impact area of small arms firing ranges. One of the workbooks assesses filter cascade characteristics for a single design storm, while the other workbook assesses filter characteristics for a continuous, steady rainfall so that the useful life of the filters, as impacted by clogging, could be estimated. Model computations include the approach depth of flow, including filter over-topping, and the flow rate through each filter over time for specific storm events. The time history of effluent TSS concentration and the TSS trapped within each filter are also computed, as well as the TSS removal coefficient and hydraulic conductivity of each filter. The models provide useful general performance information. In order to provide more specific performance information, laboratory experiments with site-specific sand filter material and runoff TSS are required to determine three filter parameters that can be used as part of the model input.
URI: http://hdl.handle.net/11681/2903
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