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Monitoring the Water
Quality Parameters of Mayaguez Bay
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Basic Project Information:
Title: Monitoring the Water Quality Parameters
of Mayaguez Bay
Duration: June 1, 2001 - May 31, 2004
Principal Investigators:
Nazario D. Ramirez, Ph.D.
Department of Industrial Engineering
University of Puerto Rico
Mayaguez, PR 00680
tel: (787) 265-3819
e-mail: nazario@ece.uprm.edu
Fernando Gilbes, Ph.D
Department of Marine Sciences
University of Puerto Rico
PO Box 9013
Mayaguez, PR 00681-9013
e-mail: gilbes@cacique.uprm.edu
Project Summary
The contamination of Mayaguez Bay should be monitored
in order to design an efficient strategy that modifies the human activities
and consequently reducing the level of water pollution. The proposed
research attempts to develop a practical tool to monitor some of the
most important contaminates in Mayaguez Bay. It is expected to accomplished
the following objectives:
- Identify a set of transfer function models to
estimate the water pollution induced by rivers discharging into
the Mayagez Bay.
- Perform experimental campaigns to measure water-quality
parameters and bio-optical data to validate remote sensing measurements
over the Mayaguez Bay .
- Develop empirical equations to estimate water
quality parameters based on remote sensing measurements.
The following tasks have been scheduled to accomplish
the research objectives: - Develop
a database system to organize and control the water quality parameters
for the seven USGS stations, located in Aņasco, Yaguez, and Guanajibo
rivers.
- Develop around 24 transfer function models to estimate
water pollution deposition on Mayaguez Bay.
- Plan experimental campaigns. This task involves
the procurement of the necessary boat, equipment, materials, and
personal to perform the field samplings, which must be conducted
on a clear-sky day.
- Conduct water quality samplings (at least once every
year).
- Collect remote sensing radiance measurements.
- Develop empirical equations to express correlation
between radiance and chlorophyll a.
- Design a neural network to express the relationship
between radiance and quality parameters.
- Identify, organize, and extract historical satellite
data to implement the monitoring system. Thus, radiance will be
converted into concentration of chlorophyll a.
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