Two-particle models for the estimation of the mean and standard deviation of concentrations in coastal waters
type: Item
instance of: scholarly article
title: Two-particle models for the estimation of the mean and standard deviation of concentrations in coastal waters
zbMATH Open document ID: 1269.92072
author: D. Spivakovskaya
author: A. W. Heemink
author: John Schoenmakers
published in: Stochastic Environmental Research and Risk Assessment
publication date: 2009-02-18T00:00:00Z
Mathematics Subject Classification ID: 92D40
Mathematics Subject Classification ID: 62P12
Mathematics Subject Classification ID: 60G50
Mathematics Subject Classification ID: 92-08
zbMATH DE Number: 5508853
zbMATH Keywords: advection-diffusion equation
zbMATH Keywords: Lagrangian models
zbMATH Keywords: two-particle model
describes a project that uses: KernSmooth
MaRDI profile type: Publication
OpenAlex ID: W2163522040
cites work: Q4404205
cites work: Probability density estimation in stochastic environmental models using reverse representa\-tions
cites work: A family of stochastic models for two-particle dispersion in isotropic homogeneous stationary turbulence
cites work: Quasi-Monte Carlo integration
cites work: Q4002793
cites work: A stochastic model of two-particle dispersion and concentration fluctuations in homogeneous turbulence
cites work: A summary of numerical methods for time-dependent advection-dominated partial differential equations
cites work: Stochastic processes and filtering theory
cites work: A three-dimensional stochastic model for concentration fluctuation statistics in isotropic homogeneous turbulence
cites work: Q4004325
cites work: Direct and Adjoint Monte Carlo Algorithms for the Footprint Problem
cites work: Analysis of relative dispersion of two particles by Lagrangian stochastic models and DNS methods
cites work: Q4826106
cites work: Transition density estimation for stochastic differential equations via forward-reverse represen\-ta\-tions
cites work: Stochastic differential equations. An introduction with applications
cites work: Variance reduction for Monte Carlo simulation of stochastic environmental models
cites work: Q4727203
cites work: Criteria for the selection of stochastic models of particle trajectories in turbulent flows
cites work: A stochastic model for the motion of particle pairs in isotropic high-Reynolds-number turbulence, and its application to the problem of concentration variance
cites work: Q4865051
DOI: 10.1007/S00477-006-0059-0
description: scientific article; zbMATH DE number 5508853