HR: 09:05h
AN: H31I-05 [Abstracts]
TI: Dynamic Assessment of Non-Point Source Pollution
AU: * Stringfellow, W
EM: wstringfellow@pacific.edu
AF: University of the Pacific, Environmental Engineering Research Program
3601 Pacific Ave.
Sears Hall
School of Engineering & Computer Science, Stockton, CA 95211
United States
AU: * Stringfellow, W
EM: wstringfellow@pacific.edu
AF: Berkeley National Laboratory, 1 Cyclotron Road
MS 70A-3317, Berkeley, CA 94720
United States
AU: Borglin, S
EM: seborglin@lbl.gov
AF: University of the Pacific, Environmental Engineering Research Program
3601 Pacific Ave.
Sears Hall
School of Engineering & Computer Science, Stockton, CA 95211
United States
AU: Borglin, S
EM: seborglin@lbl.gov
AF: Berkeley National Laboratory, 1 Cyclotron Road
MS 70A-3317, Berkeley, CA 94720
United States
AU: Rogers, M
EM: mrrogers@uclink.berkeley.edu
AF: Berkeley National Laboratory, 1 Cyclotron Road
MS 70A-3317, Berkeley, CA 94720
United States
AU: Hanlon, J
EM: jshanlon@lbl.gov
AF: University of the Pacific, Environmental Engineering Research Program
3601 Pacific Ave.
Sears Hall
School of Engineering & Computer Science, Stockton, CA 95211
United States
AB:
Traditional water quality monitoring programs directed at non-point source (NPS) pollution typically involve the collection
of grab sample data at a fixed location and a routine time interval with the objective of identifying areas of degraded water
quality. The frequency and locations of measurement are often determined by regulatory concerns, rather than based on a
scientific analysis, and it is not obvious that the collected samples are representative of the true population.
Additionally, routine monitoring rarely provides fundamental information concerning the root causes of NPS pollution and
therefore are of limited use in designing management and remediation plans.
We are assessing the usefulness of longitudinal surveys, intensive monitoring schedules, and continuous monitoring devices
for providing information in addition to, or in place of, traditional intermittent sampling. We are evaluating the efficacy
of grab sampling for measuring the true population and determining if dynamic measurements are more effective at providing
information useful for the development of remediation and management plans.
Data from a regulatory pesticide monitoring program for an impaired stream was compared to data collected during the same
period by an intensive (daily) sampling effort. It was determined that the regulatory program had a low probability of
resulting in an accurate assessment of pesticide releases, in part because the monitoring plan was based on faulty
assumptions.
In the case of eutrophication, traditional monitoring of an up-stream and down-stream location failed to present a clear
picture of algal growth dynamics in nutrient enriched tributaries. Longitudinal investigation of algal growth profiles
demonstrated that assumption by regulatory agencies concerning algal growth patterns in the region were in error and reveled
insights that suggest a strategy for engineered control for algal blooms in the region.
DE: 0402 Agricultural systems
DE: 0478 Pollution: urban, regional and global (0345, 4251)
DE: 1806 Chemistry of fresh water
DE: 1879 Watershed
DE: 1895 Instruments and techniques: monitoring
SC: Hydrology [H]
MN: Fall Meeting 2005