PPT-Monte Carlo Simulation to Characterize Stormwater Runoff Un

GS Karlovits JC Adam Washington State University 2010 AGU Fall Meeting San Francisco CA Outline Climate change and uncertainty in the Pacific Northwest Data model and methods Climate data. X is a random vector in is a function from to and E Note that could represent the values of a stochastic process at di64256erent points in time For example might be the price of a particular stock at time and might be given by so then is the expe Pete . Truscott. 1. , . Daniel . Heynderickx. 2. , . Fan . Lei. 3. , . Athina . Varotsou. 4. , . Piers . Jiggens. 5. . and Alain . Hilgers. 5. (1) Kallisto Consultancy , UK; (2) DH Consultancy, Belgium; (3) . Activities. Training session 2014. Introductions……. Paul . Corrente. David Harms . Derek Kohl. Michael Fisher. Kimberly Lesay. David Cicia. Agenda. Purpose of Training Today. History / Background. SIMULATION. Simulation . of a process . – the examination . of any emulating process simpler than that under consideration. .. Examples:. System’s Simulation such as simulation of engineering systems, large organizational systems, and governmental systems. Simple Monte Carlo . Integration. Suppose . that we pick N random points, . uniformly . distributed in a . multidimensional volume . V . Call . them x. 0. ,… . ; . x. N-1. . Then the basic theorem of Monte . Imry. Rosenbaum. Jeremy . Staum. Outline. What is simulation . metamodeling. ?. Metamodeling. approaches. Why use function approximation?. Multilevel Monte Carlo. MLMC in . metamodeling. Simulation . By Charles Nickel, P.E.. charles.nickel@la.gov. (225) 379-1078. Key Cost Driving Relationships. (The Usual Suspects). Competition. Only look at projects with at least 3 or more bidders. Only look at the top 2 bidders. Monte Carlo In A Nutshell. Using a large number of simulated trials in order to approximate a solution to a problem. Generating random numbers. Computer not required, though extremely helpful . A Brief History. Environmental Health, Safety & Risk . Management. What. . is. . Stormwater. ?. Stormwater. is precipitation (rainwater) that originates during a storm event.. Rainwater . that does not soak into the soil and . A training for local governments to cost effectively implement retrofits to meet MS-4 permit and Chesapeake Bay TMDL requirements. . Workshop Agenda. 9:30 –. 9:40. Welcome. and Learning Objectives for the Day. Prompt . Neutron . Emission . During. Acceleration in Fission. T.. . Ohsawa. . Kinki University. Japanese Nuclear Data Committee. IAEA/CRP on PFNS, Vienna, Dec. 13-16, 2011. q. ε. Overall agreement between. A . simulation technique . uses a probability experiment to mimic a real-life situation.. The . Monte Carlo method . is a simulation technique using random numbers.. Bluman, Chapter 14. 1. Bluman, Chapter 14. In of our series, where in the past we have discussed the ( i ) Black Scholes model and the (ii) Binomial option pricing model, we present the Monto Carlo simulation model to conclude our series on op 10.31.17. WORKSHOP I: . Green Infrastructure Overview. Construction, Inspection, and Maintenance . PRESENTATION OUTLINE. 8:15 - 8:45. . Green Infrastructure Practice Overview. Why Green Infrastructure (GI).