| |
 |
| Graduate
Student Support |
NEOCO
graduate students are involved in all aspects of the program - at
both the site and network level. Currently, we fund three graduate
students through NEOCO.
|
| Anna
Pfieffer-Hoyt |
| Drew
Lucas |
| Youngsul
Jeong |
|
|
 |
 |
 |
|
|
| Youngsul
Jeong |
| Youngsul
Jeong at UC Irvine (under the guidance of Brett Sanders), is
working on using NEOCO data to develop an ANN for determination
of the water quality at public beaches in California. At present,
public beaches in California are posted as unfit for swimming
whenever the concentration of fecal indicator bacteria (FIB)
in the surf zone exceeds one of seven single-sample and geometric
standards1. However, these signs are often posted (or not) in
error, because of time delays between when surf zone samples
are collected and testing results are known (24 to 48 hours),
together with the highly variable nature of bacterial concentrations
in the surf zone. Youngsul is developing a method of now-casting
coastal water quality so that signs can be posted when water
quality is poor and not posted when water quality is good. He
is developing an Artificial Neural Network (ANN) that will utilize,
as input, historical water quality data, real-time feeds of
data from the NEOCO network, and any other variables (such as
maximum daily tide range) that are shown to be correlated with
local coastal water quality. |
|
|
|
 |
|
 |
|
