Iterative Optimization of a Multi-compartmental Air Quality Modelling System

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F15%3A00087331" target="_blank" >RIV/00216224:14610/15:00087331 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Iterative Optimization of a Multi-compartmental Air Quality Modelling System

Popis výsledku v původním jazyce

In this paper, we present an application for iterative optimization of a multi-compartment environmental fate and transport modelling system based on atmospheric measurements of Persistent Organic Pollutants (POPs) from the European Monitoring and Evaluation Programme (EMEP). The modelling framework involved linking science models such as the Weather Research and Forecasting (WRF) model and an experimental version of the Community Multiscale Air Quality System (CMAQ) that includes treatment of POPs species in the atmosphere, and an soil compartment that simulates the soil-air exchange. The initialization step of multi-compartment models for POPs is plagued by uncertainties in estimating the current soil burden and spatial distributions. The goal of this work is to demonstrate a first application of the modelling framework which aims to improve the reliability of modelled POP estimates in air by controlling the additional fluxes from the soil compartment.

Název v anglickém jazyce

Iterative Optimization of a Multi-compartmental Air Quality Modelling System

Popis výsledku anglicky

In this paper, we present an application for iterative optimization of a multi-compartment environmental fate and transport modelling system based on atmospheric measurements of Persistent Organic Pollutants (POPs) from the European Monitoring and Evaluation Programme (EMEP). The modelling framework involved linking science models such as the Weather Research and Forecasting (WRF) model and an experimental version of the Community Multiscale Air Quality System (CMAQ) that includes treatment of POPs species in the atmosphere, and an soil compartment that simulates the soil-air exchange. The initialization step of multi-compartment models for POPs is plagued by uncertainties in estimating the current soil burden and spatial distributions. The goal of this work is to demonstrate a first application of the modelling framework which aims to improve the reliability of modelled POP estimates in air by controlling the additional fluxes from the soil compartment.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

<a href="/cs/project/ED3.2.00%2F08.0144" target="_blank" >ED3.2.00/08.0144: CERIT Scientific Cloud</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Tenth Doctoral Workshop on Mathematical and Engineering Methods in Computer Science (MEMICS 2015)

ISBN

9788021452541

ISSN

—

e-ISSN

—

Počet stran výsledku

12

Strana od-do

70-81

Název nakladatele

MEMICS 2015

Místo vydání

Brno

Místo konání akce

Telč

Datum konání akce

1. 1. 2015

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

—