scholarly journals Compilation of 1993 Annual Reports of the Navy ELF Communications System Ecological Monitoring Program

1994 ◽  
Author(s):  
J. E. Zapotosky
Keyword(s):  
Monitoring Program ◽  
Ecological Monitoring ◽  
Annual Reports ◽  
Communications System

Modeling and Assessment of the Produced Water Discharges from Offshore Petroleum Platforms

2007 ◽  
Vol 42 (4) ◽  
pp. 303-310 ◽  
Author(s):  
Zhi Chen ◽  
Lin Zhao ◽  
Kenneth Lee ◽  
Charles Hannath
Keyword(s):  
Random Walk ◽  
Produced Water ◽  
Model Development ◽  
Three Dimensional ◽  
Monitoring Program ◽  
Ecological Monitoring ◽  
Numerical Approach ◽  
Ocean Model ◽  
Scale Model ◽  
Water Stream

Abstract There has been a growing interest in assessing the risks to the marine environment from produced water discharges. This study describes the development of a numerical approach, POM-RW, based on an integration of the Princeton Ocean Model (POM) and a Random Walk (RW) simulation of pollutant transport. Specifically, the POM is employed to simulate local ocean currents. It provides three-dimensional hydrodynamic input to a Random Walk model focused on the dispersion of toxic components within the produced water stream on a regional spatial scale. Model development and field validation of the predicted current field and pollutant concentrations were conducted in conjunction with a water quality and ecological monitoring program for an offshore facility located on the Grand Banks of Canada. Results indicate that the POM-RW approach is useful to address environmental risks associated with the produced water discharges.

Seven Q-Tracks Monitors of Laboratory Quality Drive General Performance Improvement: Experience From the College of American Pathologists Q-Tracks Program 1999–2011

2015 ◽  
Vol 139 (6) ◽  
pp. 762-775 ◽  
Author(s):  
Frederick A. Meier ◽  
Rhona J. Souers ◽  
Peter J. Howanitz ◽  
Joseph A. Tworek ◽  
Peter L. Perrotta ◽  
...  
Keyword(s):  
Cycle Time ◽  
Laboratory Testing ◽  
Clinical Laboratory ◽  
Monitoring Program ◽  
Annual Reports ◽  
Cycle Duration ◽  
Cycle Times ◽  
Report Turnaround Time ◽  
Clinical Laboratory Testing ◽  
Over Time

Context Many production systems employ standardized statistical monitors that measure defect rates and cycle times, as indices of performance quality. Clinical laboratory testing, a system that produces test results, is amenable to such monitoring. Objective To demonstrate patterns in clinical laboratory testing defect rates and cycle time using 7 College of American Pathologists Q-Tracks program monitors. Design Subscribers measured monthly rates of outpatient order-entry errors, identification band defects, and specimen rejections; median troponin order-to-report cycle times and rates of STAT test receipt-to-report turnaround time outliers; and critical values reporting event defects, and corrected reports. From these submissions Q-Tracks program staff produced quarterly and annual reports. These charted each subscriber's performance relative to other participating laboratories and aggregate and subgroup performance over time, dividing participants into best and median performers and performers with the most room to improve. Each monitor's patterns of change present percentile distributions of subscribers' performance in relation to monitoring durations and numbers of participating subscribers. Changes over time in defect frequencies and the cycle duration quantify effects on performance of monitor participation. Results All monitors showed significant decreases in defect rates as the 7 monitors ran variously for 6, 6, 7, 11, 12, 13, and 13 years. The most striking decreases occurred among performers who initially had the most room to improve and among subscribers who participated the longest. All 7 monitors registered significant improvement. Participation effects improved between 0.85% and 5.1% per quarter of participation. Conclusions Using statistical quality measures, collecting data monthly, and receiving reports quarterly and yearly, subscribers to a comparative monitoring program documented significant decreases in defect rates and shortening of a cycle time for 6 to 13 years in all 7 ongoing clinical laboratory quality monitors.

scholarly journals Evaluation of Watershed Scale Aquatic Ecosystem Health by SWAT Modeling and Random Forest Technique

2019 ◽  
Vol 11 (12) ◽  
pp. 3397 ◽  
Author(s):  
So Young Woo ◽  
Chung Gil Jung ◽  
Ji Wan Lee ◽  
Seong Joon Kim
Keyword(s):  
Random Forest ◽  
Aquatic Ecosystem ◽  
Ecosystem Health ◽  
Assessment Tool ◽  
Stream Water ◽  
Monitoring Program ◽  
Ecological Monitoring ◽  
Machine Learning Algorithms ◽  
Assessment Index ◽  
The Individual

In this study, we evaluated the aquatic ecosystem health (AEH) with five grades (A; very good to E; very poor) of FAI (Fish Assessment Index), TDI (Trophic Diatom Index), and BMI (Benthic Macroinvertebrate Index) using the results of SWAT (Soil and Water Assessment Tool) stream water temperature (WT) and quality (T-N, T-P, NH4, NO3, and PO4). By applying Random Forest, one of the machine learning algorithms for classification analysis, each AEH index was trained and graded from the SWAT results. For Han river watershed (34,418 km2) in South Korea, the 8 years (2008~2015) observed AEH data of Spring and Fall periods at 86 locations from NAEMP (National Aquatic Ecological Monitoring Program) were used. The AEH was separately trained for Spring (FAIs, TDIs, and BMIs) and Fall (FAIa, TDIa, and BMIa), and the AEH results of Random Forest with SWAT (WT, T-N, T-P, NH4, NO3, and PO4) as input variables showed the accuracy of 0.42, 0.48, 0.62, 0.45, 0.4, and 0.58, respectively. The reason for low accuracy was from the weak strength of the individual trees and high correlation between the trees composing the Random Forest due to the data imbalance. The AEH distribution results showed that the number of Grade A of total FAI, TDI, and BMI were 84, 0, and 158 respectively and they were mostly located at the upstream watersheds. The number of Grade E of total FAI, TDI, and BMI were 4, 50, and 13 and they were shown at downstream watersheds.

scholarly journals Overview and application of the National Aquatic Ecological Monitoring Program (NAEMP) in Korea

2011 ◽  
Vol 47 ◽  
pp. S3-S14 ◽  
Author(s):  
Sang-Woo Lee ◽  
Soon-Jin Hwang ◽  
Jae-Kwan Lee ◽  
Dong-Il Jung ◽  
Yeon-Jae Park ◽  
...  
Keyword(s):  
Watershed Management ◽  
Ecosystem Health ◽  
Water Environment ◽  
Monitoring Program ◽  
Oxygen Demand ◽  
Ecological Monitoring ◽  
Ecological Condition ◽  
Chemical Parameters ◽  
Rivers And Streams ◽  
Korean Ministry

This paper provides an overview of the development and application of the National Aquatic Ecological Monitoring Program (NAEMP) in Korea, which uses biological and habitat–riparian criteria for river/stream and watershed management. Development of NAEMP began in 2003, with recognition by the Korean Ministry of Environment (MOE) of the limitations of applying chemical parameters (e.g., biochemical oxygen demand (BOD)) as the principal targets of water environment management. Ecosystem health criteria under NAEMP were developed from 2003 to 2006. Candidate sites for monitoring were also screened and established across the country. NAEMP was implemented in 2007, and since then a standard protocol of nationwide monitoring based on multi-criteria has been implemented to assess the ecological condition of rivers and streams. The monitoring results indicate that many Korean rivers and streams are severely degraded, with biological conditions that are much worse than their water chemistry suggests. In 2009, 24% of rivers and streams were in classes C (Fair) and D (Poor) for BOD, but more than 71, 53, and 27% were categorized as Fair to Poor according to fish, diatom, and benthic macroinvertebrate assemblages, respectively. NAEMP is promising in that the results have already had great impacts on policy making and scientific research relevant to lotic water environment and watershed management in Korea. In the future, NAEMP results will be used to develop more aggressive regulations for the preservation and restoration of rivers/streams, riparian buffer areas and watersheds. Another future aim of the NAEMP is to develop aquatic ecological modeling based on the monitoring results.

scholarly journals Clear Creek Estuary Restoration: Establishing an Ecological Monitoring Program and Baseline Conditions

2016 ◽  
Author(s):  
◽  
Christine Butler-Minor ◽  
Keyword(s):  
Water Quality ◽  
Monitoring Program ◽  
Ecosystem Restoration ◽  
Ecological Monitoring ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Habitat Conditions ◽  
Restoration Planning ◽  
Invertebrate Diversity ◽  
Estuary Restoration

Monitoring habitat conditions in the Clear Creek Estuary before the completion of the Bucklin Hill Bridge Project is a critical part of this ecosystem restoration planning and execution. The Clear Creek Trail Alliance (CCTA) is working with local partners to monitor the effects of the estuary restoration. In a wider effort to characterize salmonid habitat suitability of the estuary prior to the bridge replacement, CCTA would like to gather data related to water quality, beach/bank elevations, vegetation in the vicinity, and invertebrate diversity in the estuary. The development and implementation of this Clear Creek Estuary monitoring project provides an opportunity for students and local citizens to expand their knowledge of salmon habitat needs and learn about the benefits to salmon afforded through estuary restorations. These reliable, verifiable, and accurate data will be contributed to the State’s Marine Water Quality Monitoring Program plus shared with citizens of Kitsap County and other parties interested in gaining knowledge concerning the effectiveness of the restoration project. Comparison of data collected prior to and then following construction will aid in understanding the successful restoration features of the project and assist in determining if adaptations are needed in the ongoing management of this revitalized ecosystem.

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