Simplified Radon Entry Rate Estimation Methodology from Tracer and Radon Concentrations Based on Functional Data Analysis Approach

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652052%3A_____%2F10%3A%230000037" target="_blank" >RIV/86652052:_____/10:#0000037 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Simplified Radon Entry Rate Estimation Methodology from Tracer and Radon Concentrations Based on Functional Data Analysis Approach

Popis výsledku v původním jazyce

We present a methodology useful for estimation of radon entry rate (RER) in buildings. General RER estimation is complicated by the presence of air exchange rate, which acts as a nuisance parameter. Nevertheless, RER can be estimated under various circumstances. One such a situation occurs when, in addition to the time series of radon concentrations, time series of some tracer concentrations is available. Here, we will present a simpler but flexible alternative to Kalman filtering approach, based on functional data analysis (FDA), Ramsay, Silverman (1997) methodology. It is built on spline smoothing of radon and tracer concentrations, subsequent estimation of their time derivatives and finally on solution of the underlying system of differential equations. The methodology is presented first in generality, and then with respect to practical implementation and computation. Then it is illustrated on real data.

Název v anglickém jazyce

Simplified Radon Entry Rate Estimation Methodology from Tracer and Radon Concentrations Based on Functional Data Analysis Approach

Popis výsledku anglicky

We present a methodology useful for estimation of radon entry rate (RER) in buildings. General RER estimation is complicated by the presence of air exchange rate, which acts as a nuisance parameter. Nevertheless, RER can be estimated under various circumstances. One such a situation occurs when, in addition to the time series of radon concentrations, time series of some tracer concentrations is available. Here, we will present a simpler but flexible alternative to Kalman filtering approach, based on functional data analysis (FDA), Ramsay, Silverman (1997) methodology. It is built on spline smoothing of radon and tracer concentrations, subsequent estimation of their time derivatives and finally on solution of the underlying system of differential equations. The methodology is presented first in generality, and then with respect to practical implementation and computation. Then it is illustrated on real data.

Druh

C - Kapitola v odborné knize

CEP obor

DN - Vliv životního prostředí na zdraví

OECD FORD obor

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Projekt

<a href="/cs/project/JC_11%2F2006" target="_blank" >JC_11/2006: Studium vlastností produktů přeměny radonu v reálných pobytových podmínkách v závislosti na charakteristikách prostředí</a><br>

Návaznosti

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

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Horizons in World Physics

ISBN

978-1-61728-995-8

Počet stran výsledku

19

Strana od-do

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Počet stran knihy

449

Název nakladatele

Nova Science Publishers

Místo vydání

Hauppauge

Kód UT WoS kapitoly

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