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Early Warning System: Minimizes Water Quality Problems
Author(s) -
Pesacreta George
Publication year - 2009
Publication title -
opflow
Language(s) - English
Resource type - Journals
eISSN - 1551-8701
pISSN - 0149-8029
DOI - 10.1002/j.1551-8701.2009.tb02965.x
Subject(s) - warning system , environmental science , sampling (signal processing) , water quality , early warning system , hydrology (agriculture) , checklist , benthic zone , water resource management , environmental resource management , computer science , oceanography , engineering , telecommunications , geology , ecology , paleontology , geotechnical engineering , detector , biology
This article discusses a project by the city of Raleigh, North Carolina, to adopt an early warning system for water quality that established sampling points and targeted testing sites on its Falls Lake Reservoir and its Wake Forest Reservoir. Raleigh's sampling system checklist is discussed, along with an innovative aspect of the early warning system that uses in vivo chlorophyll a/in vivo C‐Phycocyanin ratios for water supply testing. The article discusses an algal bloom event on the Wake Forest Reservoir that was stimulated by air diffusers when a drought occurred. Timely monitoring of raw water pigment levels helped staff document dramatic results.