Supplemental Environmental Project, Supplemental Sampling and Monitoring Work Plan Regarding Settlement Agreement and Stipulated Final Order HWB-14-20, Addendum 3: Certification Packages: Sampling and Monitoring Data Quality Objectives (DQO) and Accord Pueblo Outreach

2019 ◽  
Author(s):  
Alethea K. Banar
Keyword(s):  
Data Quality ◽  
Monitoring Data ◽  
Work Plan ◽  
Settlement Agreement

Implementation of Marine Environment Monitoring Data Quality Control System

2014 ◽  
Vol 926-930 ◽  
pp. 4254-4257 ◽  
Author(s):  
Jin Xu ◽  
Da Tao Yu ◽  
Zhong Jie Yuan ◽  
Bo Li ◽  
Zi Zhou Xu
Keyword(s):  
Quality Control ◽  
Control System ◽  
Data Quality ◽  
Marine Environment ◽  
Quality Control System ◽  
Monitoring Data ◽  
Environment Monitoring ◽  
Data Quality Control ◽  
Labor Costs ◽  
Marine Environment Monitoring

Traditional artificial perception quality control methods of marine environment monitoring data have many disadvantages, including high labor costs and mistakes of data review. Based on GIS spatial analysis technology, Marine Environment Monitoring Data Quality Control System is established according to the Bohai Sea monitoring regulation. In the practical application process, it plays the role of improving efficiency of quality control, saving the manpower and financial resources. It also provides an important guarantee for the comprehensive analysis and management of marine environment data.

Acceleration data quality assessment for bridge structural health monitoring via statistical and deep-learning approach

2021 ◽  
Author(s):  
Huaqiang Zhong ◽  
Limin Sun ◽  
José Turmo ◽  
Ye Xia
Keyword(s):  
Structural Health Monitoring ◽  
Data Quality ◽  
Health Monitoring ◽  
Structural Damage ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Operating Conditions ◽  
Monitoring Data ◽  
Statistical Characteristics ◽  
Structural Health

<p>In recent years, the safety and comfort problems of bridges are not uncommon, and the operating conditions of in-service bridges have received widespread attention. Many large-span key bridges have installed structural health monitoring systems and collected massive amounts of data. Monitoring data is the basis of structural damage identification and performance evaluation, and it is of great significance to analyze and evaluate its quality. This paper takes the acceleration monitoring data of the main girder and arch rib of a long-span arch bridge as the research object, analyzes and summarizes the statistical characteristics of the data, summarizes 6 abnormal data conditions, and proposes a data quality evaluation method of convolutional neural network. This paper conducts frequency statistics on the acceleration vibration amplitude of the bridge in December 2018 in hours. In order to highlight the end effect of frequency statistics, the whole is amplified and used as network input for training and data quality evaluation. The results are good. It provides another new method for structural monitoring data quality evaluation and abnormal data elimination.</p>

Monitoring data quality in Kepler

2010 ◽  
Author(s):  
Aisa Na'im ◽  
Daniel Crawl ◽  
Maria Indrawan ◽  
Ilkay Altintas ◽  
Shulei Sun
Keyword(s):  
Data Quality ◽  
Monitoring Data

scholarly journals A Novel Method for Monitoring Data Quality in Electrical Impedance Tomography

2013 ◽  
Vol 434 ◽  
pp. 012077
Author(s):  
Andy Adler ◽  
Bartłomiej Grychtol ◽  
Pascal Gaggero ◽  
Jörn Justiz ◽  
Volker Koch ◽  
...  
Keyword(s):  
Data Quality ◽  
Electrical Impedance Tomography ◽  
Electrical Impedance ◽  
Monitoring Data ◽  
Impedance Tomography ◽  
Novel Method

Inclusion of uncertainty in the calcium-salinity relationship improves estimates of ocean acidification monitoring data quality

2020 ◽  
Vol 226 ◽  
pp. 103872
Author(s):  
Wayne D.N. Dillon ◽  
Peter W. Dillingham ◽  
Kim I. Currie ◽  
Christina M. McGraw
Keyword(s):  
Data Quality ◽  
Ocean Acidification ◽  
Monitoring Data
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