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Sludge quantification at water treatment plant and its management scenario

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Abstract

Large volume of sludge is generated at the water treatment plants during the purification of surface water for potable supplies. Handling and disposal of sludge require careful attention from civic bodies, plant operators, and environmentalists. Quantification of the sludge produced at the treatment plants is important to develop suitable management strategies for its economical and environment friendly disposal. Present study deals with the quantification of sludge using empirical relation between turbidity, suspended solids, and coagulant dosing. Seasonal variation has significant effect on the raw water quality received at the water treatment plants so forth sludge generation also varies. Yearly production of the sludge in a water treatment plant at Ghaziabad, India, is estimated to be 29,700 ton. Sustainable disposal of such a quantity of sludge is a challenging task under stringent environmental legislation. Several beneficial reuses of sludge in civil engineering and constructional work have been identified globally such as raw material in manufacturing cement, bricks, and artificial aggregates, as cementitious material, and sand substitute in preparing concrete and mortar. About 54 to 60% sand, 24 to 28% silt, and 16% clay constitute the sludge generated at the water treatment plant under investigation. Characteristics of the sludge are found suitable for its potential utilization as locally available construction material for safe disposal. An overview of the sustainable management scenario involving beneficial reuses of the sludge has also been presented.

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Authors and Affiliations

  1. Department of Civil Engineering, Jamia Millia Islamia, New Delhi, India

    Tarique Ahmad, Kafeel Ahmad & Mehtab Alam

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  1. Tarique Ahmad
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  2. Kafeel Ahmad
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  3. Mehtab Alam
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Correspondence to Tarique Ahmad.

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Ahmad, T., Ahmad, K. & Alam, M. Sludge quantification at water treatment plant and its management scenario. Environ Monit Assess 189, 453 (2017). https://doi.org/10.1007/s10661-017-6166-1

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