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Assessing filter robustness at drinking water treatment plants
Author(s) -
Hartshorn Andrew J.,
Prpich George,
Upton Andrew,
Macadam Jitka,
Jefferson Bruce,
Jarvis Peter
Publication year - 2015
Publication title -
water and environment journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 37
eISSN - 1747-6593
pISSN - 1747-6585
DOI - 10.1111/wej.12094
Subject(s) - robustness (evolution) , turbidity , weighting , computer science , environmental science , statistics , data mining , mathematics , geology , medicine , biochemistry , chemistry , oceanography , radiology , gene
This investigation explores the use of five‐parameter logistic curve fitting in quantifying turbidity robustness and risk scoring in clarification and filtrations stages of several surface water treatment works in the A nglian W ater region of the U nited K ingdom. The approach taken reviews different scoring systems and addresses issues of weighting, averages and variability in robustness performance using turbidity robustness indices ( TRI s). It also proposes an area‐based risk scoring profile to assess performance [relative area profile for T 90 ( RAP 90 )]. The metrics produced are considered to be a logical and rational way to help prioritise where resources for water treatment operation should be deployed.