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Ref. No. [UMCES] CBL 2016-010

ACT VS16-01

66

QUALITY ASSURANCE AND QUALITY CONTROL

All technical activities conducted by ACT comply with ACT’s Quality Management System

(QMS), which includes the policies, objectives, procedures, authority, and accountability needed to

ensure quality in ACT’s work processes, products, and services. The QMS provides the framework for

quality assurance (QA) functions, which cover planning, implementation, and review of data collection

activities and the use of data in decision making, and quality control. The QMS also ensures that all

ACT data collection and processing activities are carried out in a consistent manner, to produce data of

known and documented quality that can be used with a high degree of certainty by the intended user to

support specific decisions or actions regarding technology performance. ACT’s QMS meets the

requirements of ISO/IEC 17025:2005(E),

General requirements for the competence of testing and

calibration laboratories

; the American National Standards Institute (ANSI)/American Society for

Quality (ASQ) E4-2004

Quality Systems for Environmental Data and Technology Programs

; and U.S.

Environmental Protection Agency, quality standards for environmental data collection, production, and

use. An effective assessment program is an integral part of ACT’s quality system. The ACT Quality

Assurance (QA) Manager independently conducted two Technical Systems Audits (TSA) and data

quality assessments of the reference sample data for the DO verification.

Quality Control Samples

Each site conducted weekly field duplicates which are presented below in Tables 9 – 11. The

global average of the standard deviation among field duplicates for all field test sites was 0.03 ±0.07

(n=27), with 11 values exceeding our expected quality threshold of better than 0.013 mg/L DO. The

average of the standard deviation among MTU field duplicates was .011 ±.014 (n=12), the average for

CBL was .074 ±.006 (n=9) and the average for HIMB was .011 ±.012 (n=6). The higher variability at

CBL likely reflected fine-scale heterogeneity in the water mass as was also noted by the greater

variation in temperature across the mooring rack. In general, results attest to the representativeness of

our sampling to water mass being analyzed by the test instruments and to consistent sample handling.

Table 9.

Results of Field Duplicates (FD) for the Keweenaw Waterway, MI mooring test.

Date/Time

Rep

Temp

Spec

Cond

DO

Std

Dev

Mean

Std

Dev

ABS

Diff

1-14-15 10:30 FD1

.06

94

13.819

.005

13.819

0.00

0.000

FD2

13.819

.002

1-22-15 12:30 FD1

.31

99

12.981

.013

12.986

.007

.010

FD2

12.991

.005

1-29-15 16:00 FD1

.24

103

12.958

.041

12.947

.015

.021

FD2

12.937

.013

2-5-15 15:30

FD1

.21

106

12.671

.004

12.667

.006

.009

FD2

12.662

.007

2-19-15 15:30 FD1

.35

108

11.973

.008

11.974

0.000

.001

FD2

11.974

.011