Water Science & Technology: Water Supply Vol 1 No 1 pp 9–16 © IWA Publishing 2001
Traditional and novel reservoir management techniques
to enhance water quality for subsequent potable water treatment
R Bayley*, CT Ta**, CJ Sherwin*** and PJ Renton****
*
Thames Water Utilities Limited, Water Supply Technical Services,
Walton Advanced Water Treatment Works, Hurst Road, Walton-on-Thames,
Surrey KT12 2EG, UK
**
Thames Water Utilities Limited, Research and Development, Spencer House,
Manor Farm Road, Reading, Berkshire RG2 0JN, UK
***
Thames Water Utilities Limited, Research and Development, Spencer House,
Manor Farm Road, Reading, Berkshire RG2 0JN, UK
****
Thames Water Utilities Limited, Water Supply Technical Services,
Walton Advanced Water Treatment Works, Hurst Road, Walton-on-Thames,
Surrey KT12 2EG, UK
ABSTRACT
Thames Water treats approximately 2800MI/d of water originating mainly from
the lowland rivers Thames and Lee for supply to over 7.3 million customers,
principally in the cities of London and Oxford. Most of the river water
sources are stored in bank-side, pumped, storage reservoirs prior to
treatment for potable use. Storage reservoir sizes vary and typical
theoretical retention times lie between a few days to several weeks or
months. During storage the riverine biota is largely replaced by lacustrine
taxa which can cause problems for subsequent water treatment, particularly
filtration. Recent concerns about cyanobacterial toxins has heightened
interest in reservoir management. This paper reviews aspects of Thames
Water's research, design and operating experiences of managing
eutrophic, algal rich, reservoir stored, lowland water. Areas covered
include experiences of optimising reservoir water quality to both control
algal productivity and to aid subsequent potable water treatment.
Traditional reservoir management techniques are reviewed as is research into biomanipulation. Whilst changes in reservoir water quality using
these techniques have been marked, actual retention time and quality
changes have traditionally been difficult to predict. Computational fluid
dynamic (CFD) modelling has been used successfully to substantially
increase retention and subsequent changes to water quality. Information
from CFD modelling may also be used to reduce risks from protozoan
parasites such as Cryptosporidium and Giardia.
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