Improving Total Maximum Daily Loads with Lessons Learned from Long-Term Detailed Monitoring
Publication: Journal of Environmental Engineering
Volume 130, Issue 6
Abstract
Many thousands of impaired water segments in the United States will be the subject of total maximum daily load (TMDL) determinations in the next decade. Many of these load allocations will be established with access to only minimal local data. Long-term and detailed datasets from other locations can facilitate this process by offering general insights into the processes that interact to produce the chemistry observed in a particular waterbody over time. These insights can lead to more enlightened interpretation of sparse but locally relevant water quality data. They can also inform the design of implementation monitoring to evaluate success of TMDLs. Finally, study of such datasets reveals biases that may result from inappropriate sampling design or data interpretation algorithms, and may lead to erroneous conclusions about the success or failure of a TMDL program in a specific watershed.
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Copyright © 2004 American Society of Civil Engineers.
History
Received: Dec 27, 2002
Accepted: Jun 9, 2003
Published online: May 14, 2004
Published in print: Jun 2004
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