Outbreaks of waterborne disease have been associated
with rainfall when pathogens are washed from
the watershed and transported into reservoirs via
riverine inflows. To help quantify the concentration
and viability of Cryptosporidium contamination in
lakes and reservoirs after such occurrences, the
authors have developed a simple model that can be
accessed online. In addition to the basic dynamics of
inflows, the model includes fate transformations associated
with temperature, ultraviolet light exposure,
and sedimentation.
The model's ability to predict inflow characteristics
was tested during several inflows at three reservoirs in
Australia. The data presented demonstrates the model's
effectiveness as well as provides insight into the dynamics
of inflow behavior in reservoirs and the processes
affecting source water supply.
Source water management is an increasingly important
area of the water industry. Water utility operations and
eventually public health can benefit from the effective use
of a timing tool that can also help reduce treatment costs
by selecting the best water for use in the plant. Includes 10 references, tables, figures.
| Edition : | Vol. 97 - No. 1 |
| File Size : | 1
file
, 260 KB |
| Note : | This product is unavailable in Ukraine, Russia, Belarus |
| Number of Pages : | 8 |
| Published : | 01/01/2005 |
