Author: Ishwar P. Murarka
Publisher:
ISBN:
Category : Nuclear power plants
Languages : en
Pages : 46
Book Description
Statistical Analysis of the D.C. Cook Preoperational Environmental Monitoring Program
Author: Ishwar P. Murarka
Publisher:
ISBN:
Category : Nuclear power plants
Languages : en
Pages : 46
Book Description
Publisher:
ISBN:
Category : Nuclear power plants
Languages : en
Pages : 46
Book Description
Statistical Analysis of the D.C. Cook Preoperational Environmental Monitoring Program
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
This report summarizes the major findings of an evaluation of the statistical adequacy of the preoperational environmental monitoring program for nonradioactive waste disposal at the Donald C. Cook Nuclear Power Plant. As a result of this study we found that variance components analysis methods are adequate to determine large magnitude changes in the environment. When an interaction effect between years and inner-outer factors (reference-stress) exists for the preoperation period, estimating and testing for the plant operation effect becomes difficult. This was illustrated by the benthic data analysis. It was further found that for the determination of impact hypothesis, several-factor-mixed-effects models are not needed. Simplifications, as shown by us, in the collapsed model by us, can provide the answer quite easily. Advanced methods, such as time-series analysis and biomathematical modeling, should be studied for use in the impact analysis. The limited analyses with these techniques showed promising results.
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
This report summarizes the major findings of an evaluation of the statistical adequacy of the preoperational environmental monitoring program for nonradioactive waste disposal at the Donald C. Cook Nuclear Power Plant. As a result of this study we found that variance components analysis methods are adequate to determine large magnitude changes in the environment. When an interaction effect between years and inner-outer factors (reference-stress) exists for the preoperation period, estimating and testing for the plant operation effect becomes difficult. This was illustrated by the benthic data analysis. It was further found that for the determination of impact hypothesis, several-factor-mixed-effects models are not needed. Simplifications, as shown by us, in the collapsed model by us, can provide the answer quite easily. Advanced methods, such as time-series analysis and biomathematical modeling, should be studied for use in the impact analysis. The limited analyses with these techniques showed promising results.
FWS/OBS.
Author:
Publisher:
ISBN:
Category : Ecology
Languages : en
Pages : 172
Book Description
Publisher:
ISBN:
Category : Ecology
Languages : en
Pages : 172
Book Description
ERDA Energy Research Abstracts
Author: United States. Energy Research and Development Administration
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 906
Book Description
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 906
Book Description
ERDA Energy Research Abstracts
Author: United States. Energy Research and Development Administration. Technical Information Center
Publisher:
ISBN:
Category : Force and energy
Languages : en
Pages : 982
Book Description
Publisher:
ISBN:
Category : Force and energy
Languages : en
Pages : 982
Book Description
Energy Research Abstracts
Author:
Publisher:
ISBN:
Category : Power resources
Languages : en
Pages : 922
Book Description
Publisher:
ISBN:
Category : Power resources
Languages : en
Pages : 922
Book Description
Strategy for Assessing Impacts of Power Plants on Fish and Shellfish Populations
Author: Eugene S. Fritz
Publisher:
ISBN:
Category : Fishes
Languages : en
Pages : 84
Book Description
Publisher:
ISBN:
Category : Fishes
Languages : en
Pages : 84
Book Description
ERDA Energy Research Abstracts
Author: United States. Energy Research and Development Administration
Publisher:
ISBN:
Category : Power resources
Languages : en
Pages : 768
Book Description
Publisher:
ISBN:
Category : Power resources
Languages : en
Pages : 768
Book Description
Statistical Procedures for Analysis of Environmental Monitoring Data and Risk Assessment
Author: Edward A. McBean
Publisher: Prentice Hall
ISBN:
Category : Mathematics
Languages : en
Pages : 346
Book Description
For students and professionals in environmental, civil, and mechanical engineering, few tasks are as challenging as statistical analysis and interpretation. In this book, two leaders in the field address these challenges head-on. They introduce each leading statistical analysis technique, downplaying mathematical notation in favor of sample environmental applications and explanations that make sense to non-statisticians. They also address common problems in data interpretation: small data sets; the need to correlate constituents to infill missing data or identify outliers; creating early warning systems with fewer "false positives," handling noise, and assessing risk. Coverage includes: Characterizing environmental quality data with Normal, Lognormal, and other distributions. Characterizing coincident behavior using regression, correlation and multiple regression. Multiple comparisons using ANOVA and associated parametric analysis techniques. Testing differences between monitoring records when censored data records exist. Focuses on "real-world" situations where data sets may be imperfect. Reflecting decades of experience in the field, the authors also show how to use statistical analysis as the input to realistic risk assessment. In particular, they demonstrate simulation procedures for risk characterization, using sampling methodologies from probability distributions of data. Whether you are concerned with issues of air quality, surface water, groundwater, or soil contamination, the techniques covered in this book will be invaluable.
Publisher: Prentice Hall
ISBN:
Category : Mathematics
Languages : en
Pages : 346
Book Description
For students and professionals in environmental, civil, and mechanical engineering, few tasks are as challenging as statistical analysis and interpretation. In this book, two leaders in the field address these challenges head-on. They introduce each leading statistical analysis technique, downplaying mathematical notation in favor of sample environmental applications and explanations that make sense to non-statisticians. They also address common problems in data interpretation: small data sets; the need to correlate constituents to infill missing data or identify outliers; creating early warning systems with fewer "false positives," handling noise, and assessing risk. Coverage includes: Characterizing environmental quality data with Normal, Lognormal, and other distributions. Characterizing coincident behavior using regression, correlation and multiple regression. Multiple comparisons using ANOVA and associated parametric analysis techniques. Testing differences between monitoring records when censored data records exist. Focuses on "real-world" situations where data sets may be imperfect. Reflecting decades of experience in the field, the authors also show how to use statistical analysis as the input to realistic risk assessment. In particular, they demonstrate simulation procedures for risk characterization, using sampling methodologies from probability distributions of data. Whether you are concerned with issues of air quality, surface water, groundwater, or soil contamination, the techniques covered in this book will be invaluable.
A Guide to Mathematical Models Used in Steam Electric Power Plant Environmental Impact Assessment
Author: Sanford G. Bloom
Publisher:
ISBN:
Category : Electric power-plants
Languages : en
Pages : 166
Book Description
Publisher:
ISBN:
Category : Electric power-plants
Languages : en
Pages : 166
Book Description