simple ornl model
play

Simple ORNL model Provided in Quick Basic, re-implemented as - PowerPoint PPT Presentation

Apr 28, 2023 •124 likes •169 views

Simple ORNL model Provided in Quick Basic, re-implemented as visual basic in Excel Simple gas dispersion Deposition not explicitly output No gravitational settling Inputs Particle size fractions Stability category

  1. Simple ORNL model • Provided in Quick Basic, re-implemented as visual basic in Excel • Simple gas dispersion • Deposition not explicitly output • No gravitational settling

  2. Inputs • Particle size fractions • Stability category (optional) • Wind speed • Mean particle size • Particle size ranges (optional) • TNT equivalent • Deposition velocity by particle size range • Mass of material • Height/radius of source (including entrained material)

  3. Outputs • Fraction of material airborne • Estimate of mean particle size • Fractions of material in particle size ranges (assuming log normal distribution) • Integrated air concentration • Time weighted average air concentration • No deposition (estimated using deposition velocity) • No upwind spread

  4. Preliminary findings • Estimated/guessed inputs • Test 1 • Material carries too far (95% within 500m) • No gravitation settlement • Small fraction air borne (16%)

Recommend

Modeling Deployment Scenarios For A Fast MSR Fleet Eva Davidson, ORNL, USA Benjamin Betzler,

Modeling Deployment Scenarios For A Fast MSR Fleet Eva Davidson, ORNL, USA Benjamin Betzler,

Modeling Deployment Scenarios For A Fast MSR Fleet Eva Davidson, ORNL, USA Benjamin Betzler, ORNL, USA Robert Gregg, NNL, UK Andrew Worrall, ORNL, USA MSR Workshop October 3, 2018 ORNL is managed by UT-Battelle, LLC for the US Department of

433 views • 26 slides
Data Staging and Asynchronous I/O in ADIOS Hasan Abbasi ORNL Jong Choi ORNL Greg Eisenhauer

Data Staging and Asynchronous I/O in ADIOS Hasan Abbasi ORNL Jong Choi ORNL Greg Eisenhauer

Data Staging and Asynchronous I/O in ADIOS Hasan Abbasi ORNL Jong Choi ORNL Greg Eisenhauer Georgia Tech Scott Klasky ORNL Manish Parashar Rutgers Norbert Podhorszki ORNL Nagiza Samatova NCSU Karsten Schwan Georgia Tech Matthew

469 views • 19 slides
UNITY: Unified Memory and File Space Terry Jones, ORNL June 27, 2017 ORNL is managed by

UNITY: Unified Memory and File Space Terry Jones, ORNL June 27, 2017 ORNL is managed by

UNITY: Unified Memory and File Space Terry Jones, ORNL June 27, 2017 ORNL is managed by UT-Battelle Terry Jones, ORNL PI Michael Lang, LANL PI Ada Gavrilovska, GaTech PI for the US Department of Energy Talk Outline

196 views • 19 slides
A Simple Optimization Model for A Simple Optimization Model for Wireless Opportunistic Routing

A Simple Optimization Model for A Simple Optimization Model for Wireless Opportunistic Routing

A Simple Optimization Model for A Simple Optimization Model for Wireless Opportunistic Routing with Intra-session Network Coding h k d Fabio Soldo, Athina Markopoulou, UCI Alberto Lopez Toledo Telefonica Research Alberto Lopez Toledo,

753 views • 21 slides
Human Capacity Building in Nuclear Security Cary Crawford, ORNL Adam Williams, SNL ORNL is

Human Capacity Building in Nuclear Security Cary Crawford, ORNL Adam Williams, SNL ORNL is

Human Capacity Building in Nuclear Security Cary Crawford, ORNL Adam Williams, SNL ORNL is managed by UT-Battelle for the US Department of Energy Elements of HCD Training (NSSCs) Education (INSEN) Professional Development

351 views • 20 slides
Scott A. Klasky klasky@ornl.gov Collaborators from SDM Center, CPES, GPSC, GSEP, Sandia, ORNL

Scott A. Klasky klasky@ornl.gov Collaborators from SDM Center, CPES, GPSC, GSEP, Sandia, ORNL

Fourth Workshop on Ultrascale Visualization 10/28/2009 Scott A. Klasky klasky@ornl.gov Collaborators from SDM Center, CPES, GPSC, GSEP, Sandia, ORNL H. Abbasi, J. Cummings, C. Docan,, S. Ethier, A Kahn, Q. Liu, J. Lofstead, P. Mouallem, M.

728 views • 27 slides
A Simple Computer Computing Models A simple computer model with a unified notion of

A Simple Computer Computing Models A simple computer model with a unified notion of

A Simple Computer Computing Models A simple computer model with a unified notion of data and instructions Von Neumann architecture model The first key idea is a model of memory Others Computing with

453 views • 31 slides
We use Blue Waters to study: Variations in massive star explosions Eric J Lentz University of

We use Blue Waters to study: Variations in massive star explosions Eric J Lentz University of

We use Blue Waters to study: Variations in massive star explosions Eric J Lentz University of Tennessee, Knoxville S. Bruenn (FAU), W. R. Hix (ORNL/UTK), J. A. Harris (ORNL), J. Casanova (ORNL), L. Huk (ORNL), C. Keeling-Sandoval(utk), R.

919 views • 16 slides
BS2247 Introduction to Econometrics Lecture 3: The simple regression model OLS, Algebraic

BS2247 Introduction to Econometrics Lecture 3: The simple regression model OLS, Algebraic

BS2247 Introduction to Econometrics Lecture 3: The simple regression model OLS, Algebraic properties, Goodness-of-fit Dr. Kai Sun Aston Business School 1 / 28 The Simple Regression Model: y = 0 + 1 x + u In the simple linear regression of

708 views • 54 slides
Hoare Logic and Model Checking 1. You should be able to model simple systems in NuSMV, an LTL

Hoare Logic and Model Checking 1. You should be able to model simple systems in NuSMV, an LTL

Hoare Logic and Model Checking 1. You should be able to model simple systems in NuSMV, an LTL Other interesting books: Model Checking by Clarke, Grumberg, and Peled Principles of Model Checking by Baier and Katoen 3 Course

636 views • 11 slides
Dark Matter A simple model for the Universe Standard model: homogeneous, isotropic,

Dark Matter A simple model for the Universe Standard model: homogeneous, isotropic,

Dark Matter A simple model for the Universe Standard model: homogeneous, isotropic, expanding Universe Astronomers time unit: redshift z [z+1: inverse of expansion factor] Simple composition: Dark Energy Dark Matter

789 views • 39 slides
Clacc 2019: An Update on OpenACC Support for Clang and LLVM Joel E. Denny, Seyong Lee, Jeffrey S.

Clacc 2019: An Update on OpenACC Support for Clang and LLVM Joel E. Denny, Seyong Lee, Jeffrey S.

Clacc 2019: An Update on OpenACC Support for Clang and LLVM Joel E. Denny, Seyong Lee, Jeffrey S. Vetter Future Technologies Group, ORNL https://ft.ornl.gov/ dennyje@ornl.gov April 8, 2019 EuroLLVM ORNL is managed by UT-Battelle, LLC for the

224 views • 18 slides
In the Beginning Jack Dongarra University of Tennessee Oak Ridge National Lab PVM u Al and

In the Beginning Jack Dongarra University of Tennessee Oak Ridge National Lab PVM u Al and

In the Beginning Jack Dongarra University of Tennessee Oak Ridge National Lab PVM u Al and Vaidy started the project in the summer of 1989 at ORNL. u Version 1 was used internally at ORNL and not released. u Liz Jessup came to ORNL as the

395 views • 17 slides
The Simple Regression Model Deriving the Ordinary Least Squares Estimates Properties of Caio

The Simple Regression Model Deriving the Ordinary Least Squares Estimates Properties of Caio

Definition of the Simple Regression Model The Simple Regression Model Deriving the Ordinary Least Squares Estimates Properties of Caio Vigo OLS on any Sample of Data The University of Kansas Units of Measurement Department of

1.21k views • 86 slides
The Simple Regression Model Deriving the Ordinary Least Squares Estimates Properties of Caio

The Simple Regression Model Deriving the Ordinary Least Squares Estimates Properties of Caio

Definition of the Simple Regression Model The Simple Regression Model Deriving the Ordinary Least Squares Estimates Properties of Caio Vigo OLS on any Sample of Data The University of Kansas Units of Measurement Department of

999 views • 83 slides
Atom to Transistor, 2 1 Reference: QTAT, Chapter 1. Cambridge (2005) 1 Network for

Atom to Transistor, 2 1 Reference: QTAT, Chapter 1. Cambridge (2005) 1 Network for

CQT Lecture #2 nano HUB .org online simulations and more Unified Model for Quantum Transport Far from Equilibrium CQT, Lecture#2: s Electrical Resistance: A Simple Model 1 2 H 1 2 Objective: To introduce a simple quantitative

272 views • 24 slides
Simple vs. Complex Modeling: Choosing the Appropriate Level of Complexity When Using Groundwater

Simple vs. Complex Modeling: Choosing the Appropriate Level of Complexity When Using Groundwater

Simple vs. Complex Modeling: Choosing the Appropriate Level of Complexity When Using Groundwater Modeling in Remediation Sophia Lee NAVFAC EXWC 11/26/2019 SIMPLE VS. COMPLEX SIMPLE MODEL COMPLEX MODEL Limited domain size More varied

636 views • 36 slides
Simple vs. Complex Modeling: Choosing the Appropriate Level of Complexity When Using Groundwater

Simple vs. Complex Modeling: Choosing the Appropriate Level of Complexity When Using Groundwater

Simple vs. Complex Modeling: Choosing the Appropriate Level of Complexity When Using Groundwater Modeling in Remediation Sophia Lee NAVFAC EXWC 5/30/2019 SIMPLE VS. COMPLEX SIMPLE MODEL COMPLEX MODEL Limited domain size More varied

599 views • 36 slides
MADNESS From Math to Peta-App Robert J. Harrison harrisonrj@ornl.gov robert.harrison@utk.edu 2

MADNESS From Math to Peta-App Robert J. Harrison harrisonrj@ornl.gov robert.harrison@utk.edu 2

MADNESS From Math to Peta-App Robert J. Harrison harrisonrj@ornl.gov robert.harrison@utk.edu 2 Mission of the ORNL National Leadership Computing Facility (NLCF) field the most powerful capability computers for scientific research

965 views • 67 slides
Multiple Linear Regression The population model In a simple linear regression model, a single

Multiple Linear Regression The population model In a simple linear regression model, a single

Multiple Linear Regression The population model In a simple linear regression model, a single response measure- ment Y is related to a single predictor (covariate, regressor) X for each observation. The critical assumption of the model is

859 views • 49 slides
Active Manifolds: A non-linear analogue to Active Subspaces Robert A. Bridges PhD, Oak Ridge

Active Manifolds: A non-linear analogue to Active Subspaces Robert A. Bridges PhD, Oak Ridge

Active Manifolds: A non-linear analogue to Active Subspaces Robert A. Bridges PhD, Oak Ridge National Laboratory bridgesra@ornl.gov Anthony Gruber, PhD, TTU Christopher Felder, MS, WUSTL Miki Verma, BS, ORNL Chelsey Hoff, BS ORNL is managed

600 views • 8 slides
Metastable and glassy ionic conductors MAGIC Nancy Dudney, ORNL A. Westover, A. Kercher,

Metastable and glassy ionic conductors MAGIC Nancy Dudney, ORNL A. Westover, A. Kercher,

Metastable and glassy ionic conductors MAGIC Nancy Dudney, ORNL A. Westover, A. Kercher, S. Kalnaus, G. Veith, M. Palmer ORNL V. Lacivita, G. Ceder LBNL W. West JPL S. Wang, W. Tenhaeff Univ. Rochester J. Christensen, B.

534 views • 8 slides
A Simple Analytical Model for the Energy-Efficient Activation of Access Points in Dense WLANs

A Simple Analytical Model for the Energy-Efficient Activation of Access Points in Dense WLANs

A Simple Analytical Model for the Energy-Efficient Activation of Access Points in Dense WLANs Marco Ajmone Marsan , Luca Chiaraviglio, Delia Ciullo, Michela Meo Politecnico di Torino, Italy A Simple Analytical Model for the Energy-Efficient

269 views • 25 slides
Understanding the Simple Model of Tsunami Propagation by SiTProS Model Wattana Kanbua 1* , Somporn

Understanding the Simple Model of Tsunami Propagation by SiTProS Model Wattana Kanbua 1* , Somporn

Understanding the Simple Model of Tsunami Propagation by SiTProS Model Wattana Kanbua 1* , Somporn Chuai-Aree 2 1 Marine Meteorological Center, Thai Meteorological Department, Bagkok 10260, Thailand 2 Faculty of Science and Technology, Prince of

395 views • 8 slides

More recommend