2003
DOI: 10.1016/s0048-9697(03)00491-1
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The impact of rainstorm events on coagulation and clarifier performance in potable water treatment

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Cited by 12 publications
(19 citation statements)
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“…These conditions usually coincide with an increase in the organic concentration of the raw water that can arise from a number of potential causes dependent upon geographical location. In temperate regions, the first rainfalls after dry periods flush accumulated carbon from soils into water bodies (3)(4)(5). In mountainous areas, snowmelts in spring can increase carbon concentrations in raw water, as snow is a significant sink of organic material from adsorption of atmospheric organics (6).…”
Section: Introductionmentioning
confidence: 99%
“…These conditions usually coincide with an increase in the organic concentration of the raw water that can arise from a number of potential causes dependent upon geographical location. In temperate regions, the first rainfalls after dry periods flush accumulated carbon from soils into water bodies (3)(4)(5). In mountainous areas, snowmelts in spring can increase carbon concentrations in raw water, as snow is a significant sink of organic material from adsorption of atmospheric organics (6).…”
Section: Introductionmentioning
confidence: 99%
“…Concentrations of DOM must be reduced using water treatment processes such as coagulation to improve water taste and odor and to minimize the formation of disinfection by‐products (DBPs), such as trihalomethanes (THMs), haloacetic acids (HAAs), and haloacetonitriles, which may be harmful to human health (Krasner et al, 2006). Storm events can have adverse impacts on drinking water quality as they can produce rapid increases in sediment, organic matter, turbidity, and pathogens and can decrease clarifier performance (Curriero et al, 2001; Hurst et al, 2004). Furthermore, increases in organic matter in raw waters have a negative effect on coagulant and chlorine demand, resulting in elevated treatment costs (Matilainen and Sillanpää, 2010).…”
mentioning
confidence: 99%
“…Hurst et al . () support the use of TRI as a simple and usable means of identifying and quantifying unstable periods. It can simplify large data sets to a manageable level.…”
Section: Background To Measuring Stabilitymentioning
confidence: 76%