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#Oakdale engineering datafit 9 software#
ĭATAFIT (2005) Oakdale Engineering, Statistical Software Package, Version 8.1.69, Evaluation Copy, US. ĭAIGGER GT (1995) Development of refined clarifier operating diagrams using an updated settling characteristics database. ĭAIGGER GT and ROPER RE (Jr.) (1985) The relationship between SVI and activated sludge settling characteristics. ĬLEMENTS MS (1976) The application of static column tests to sedimentation tank design. ÇETIN FD and SÚRÚCÚ G (1990) Effects of temperature and pH on the settleability of activated sludge flocs. Part I: Experimental determination of activated sludge settle-ability. ĬATUNDA PFC and VAN HAANDEL AC (1992) Activated sludge settling. Keywords: activated sludge, mixed liquor suspended solids (MLSS), model, sludge volume index (SVI), settleability, temperature, wastewaterīYE CM and DoLD PL (1998) Sludge volume index settleability measures: effect of solids characteristics and test parameters. A diurnal T fluctuation of 1.8☌ results in an SVI change of 26.6 m ℓ /g, at an average -14.8 m ℓ /g SVI change per 1☌ T r variation. These SVI models confirm the inverse dependence of SVI on temperature for the site-specific conditions. Basic and best-fit SVI models are obtained from the SVI data generated over diurnal periods, based on MLSS concentration and T fluctuations.
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An automated MLSS settling meter is used to demonstrate a semi-continuous on-line method to determine SVI at the operational reactor temperature (T) of a full-scale plant.
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A practical solution is found to reduce T s variations experienced before and during batch MLSS settling tests. T compensation or control during routine SVI tests is not common practice, partially due to a lack of temperature-controlled equipment and an absence of T s-based MLSS settling models. A T change of 4.3☌ over the 30 min settling test duration results in an inverse SVI change of 63.0 m ℓ /g, at an average SVI decrease of 14.8 m ℓ /g per 1☌ T increase. The test-cylinder environment and meteorological conditions have a direct influence on the MLSS sample temperature (T s). IIPretWatSpes, Ysterhoutlaan 59, Val de Grace 0184, South AfricaĮffects of short-term temperature variations on the sludge volume index (SVI) are evaluated with batch and automated mixed liquor suspended solids (MLSS) settling tests. IERWAT Chair in Wastewater Management, Department of Chemical Engineering (Water Utilisation Division), University of Pretoria, Pretoria 0001, South Africa Batch and automated SVI measurements based on short-term temperature variations