Multiple Model Analysis of Sediment Transport and Contaminant Distribution in the Clinch River/Watts Bar Reservoir, Tennessee, USA*

1993 ◽  
Vol 28 (8-9) ◽  
pp. 65-78 ◽  
Author(s):  
K. A. Rose ◽  
A. L. Brenkert ◽  
G. A. Schohl ◽  
Y. Onishi ◽  
J. S. Hayworth ◽  
...  

Three models of sediment transport and contaminant distribution (CHARIMA, HEC-6, and TODAM) are being applied to the Clinch River/Watts Bar Reservoir system as part of a CERCLA remedial investigation. Planned uses of model results are to identify high deposition areas of the river, forecast the effects of various remedial actions and climatic events on contaminant distribution, and aid in the design of future data collection efforts. The three models share some similarities but also differ in several important details. All three models are one-dimensional and include similar processes for sediment deposition and resuspension. Differences among the models include steady-state versus unsteady flow, the complexity of the channel network permitted, and the level of detail of contaminant-related fate processes represented. As part of our multiple model strategy, some aspects of the three models are configured using common information on the system (e.g., spatial geometry), while other aspects of the models, including some modeler decisions and calibration methods, are allowed to differ. Comparison of results among the three models can lead to increased confidence in predictions and in recommendations for future data collection. The general approach of using multiple models is described and preliminary results of the Clinch River/Watts Bar application are presented to illustrate the utility of using a multiple model approach for complex environmental assessments.

2019 ◽  
Vol 214 ◽  
pp. 04010
Author(s):  
Álvaro Fernández Casaní ◽  
Dario Barberis ◽  
Javier Sánchez ◽  
Carlos García Montoro ◽  
Santiago González de la Hoz ◽  
...  

The ATLAS EventIndex currently runs in production in order to build a complete catalogue of events for experiments with large amounts of data. The current approach is to index all final produced data files at CERN Tier0, and at hundreds of grid sites, with a distributed data collection architecture using Object Stores to temporarily maintain the conveyed information, with references to them sent with a Messaging System. The final backend of all the indexed data is a central Hadoop infrastructure at CERN; an Oracle relational database is used for faster access to a subset of this information. In the future of ATLAS, instead of files, the event should be the atomic information unit for metadata, in order to accommodate future data processing and storage technologies. Files will no longer be static quantities, possibly dynamically aggregating data, and also allowing event-level granularity processing in heavily parallel computing environments. It also simplifies the handling of loss and or extension of data. In this sense the EventIndex may evolve towards a generalized whiteboard, with the ability to build collections and virtual datasets for end users. This proceedings describes the current Distributed Data Collection Architecture of the ATLAS EventIndex project, with details of the Producer, Consumer and Supervisor entities, and the protocol and information temporarily stored in the ObjectStore. It also shows the data flow rates and performance achieved since the new Object Store as temporary store approach was put in production in July 2017. We review the challenges imposed by the expected increasing rates that will reach 35 billion new real events per year in Run 3, and 100 billion new real events per year in Run 4. For simulated events the numbers are even higher, with 100 billion events/year in run 3, and 300 billion events/year in run 4. We also outline the challenges we face in order to accommodate future use cases in the EventIndex.


2016 ◽  
Vol 12 (8) ◽  
pp. 941-953 ◽  
Author(s):  
Robyn Dayton ◽  
Paul Nary ◽  
Joy Cunningham ◽  
Kate F Plourde ◽  
Kimberly Green ◽  
...  

1973 ◽  
Vol 10 (12) ◽  
pp. 1707-1734 ◽  
Author(s):  
M. A. Carson ◽  
C. H. Taylor ◽  
B. J. Grey

This report describes work in an IHD Representative Basin in the Quebec Appalachians, the Eaton River Basin (86 km2 in area), upstream from Randboro. The Basin is dominantly forest-covered, contains no large settlement, and, in general, shows little human disturbance that might affect sediment production. The suspended load of the Eaton River was studied in detail during the spring runoff periods of 1970 and 1971; available long-term discharge data indicate these to be representative of present-day conditions. Sediment transport rates are well below capacity and sediment yields are lower than might have been expected from the Langbein-Schumm data in the United States. Suspended sediment originates primarily from scour of the banks of the channel network, and concentrations show a systematic increase with basin area (or distance downstream), quite unlike previous data from the midwestern United States. The sediment rating curve approach is a very good predictor of sediment transport rates, although because of the differences in hydrograph type, there is a large difference between the equations for the 1970 and 1971 spring floods. This difference, and residuals from the sediment rating curves, are considered in a simulation model of sediment production from bank erosion based on the changing shear resistance of bank sediment during a fluctuating hydrograph.


2017 ◽  
Vol 3 (1) ◽  
pp. 36-45
Author(s):  
Aznuriyandi Aznuriyandi

This research was conducted in Pekanbaru City Police Reserve Unit Jalan Ahmad Yani No. 11 Pekanbaru-Riau. The purposeof this study is KnowingLeadership Influenceon Performance Pekanbaru Police Detective Member. While the benefit soft his research is as consideration in applying the provision of leadership in improving the performance of Pekanbaru Police Detective Member on the future. Data collection techniques used in this research is to use the data collection tool in the form of questionnaires and interviews, and the sampling method used is random sampling by the formula Slovin. Where the amount of the overall population of 156 people and a sample of 88 people. Analysis of the data used is a simple linear regression analysis with SPSS vers. 17. Besides done also partial test (t test). From the results of research on the influence of leadership in improving the performance of members of disatlantas pekanbaru tcount t¬¬tabel ie greater than 8365> 1,999. Leadership means having a significant effect in improving the performance of members of Traffic pekanbaru. Large influence the dependent variable can be seen from the value of coefficient of determination (R-square), the amount is 0.449 or 44.9%, while the remaining 55.1% is influenced by other independent variables were not examined in this study.influenced by other independent variables were not examined in this study Keywords: Leadership, Performance


2020 ◽  
Vol 4 (6) ◽  
Author(s):  
Emily M Madan ◽  
Edward A Frongillo ◽  
Sayeed Unisa ◽  
Laxmikant Dwivedi ◽  
Robert Johnston ◽  
...  

ABSTRACT Background Child undernutrition in India remains widespread. Data from the National Family Health Survey 3 and 4 (NFHS-3 and NFHS-4) suggest that wasting prevalence has increased while stunting prevalence has declined. Objective The objectives of this study were to do the following: 1) describe wasting and stunting by month of measurement in India in children <5 y of age in NFHS-3 and NFHS-4 surveys, and 2) test whether differences in the timing of anthropometric data collection and in states between survey years introduced bias in the comparison of estimates of wasting and stunting between NFHS-3 and NFHS-4. Methods Data on wasting and stunting for 42,608 and 232,744 children aged >5 y in the NFHS-3 and NFHS-4 survey rounds were analyzed. Differences in the prevalence of wasting and stunting by month of year and by state of residence were examined descriptively. Regression analyses were conducted to test the sensitivity of the estimate of differences in wasting and stunting prevalence across survey years to both state differences and seasonality. Results Examination of the patterns of wasting and stunting by month of measurement and by state across survey years reveal marked variability. When both state and month were adjusted, regardless of the method used to account for sample size, there was a small negative difference from 2005–2006 to 2015–2016 in the prevalence of wasting (−0.8 ± 0.6 percentage points; P = 0.2) and a negative difference in stunting prevalence (−8.3 ± 0.7 percentage points; P < 0.001), indicating a small bias for wasting but not for stunting in unadjusted analyses. Conclusions State and seasonal differences may have introduced bias to the estimated difference in prevalence of wasting between the survey years but did not do so for stunting. Future data collection should be designed to maximize consistency in coverage of both time and place.


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