CONDITIONAL STOCHASTIC SIMULATION OF CARBON DIOXIDE CONCENTRATIONS
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F18%3A10236447" target="_blank" >RIV/61989100:27350/18:10236447 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1007/978-3-319-61297-3_23" target="_blank" >http://dx.doi.org/10.1007/978-3-319-61297-3_23</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-61297-3_23" target="_blank" >10.1007/978-3-319-61297-3_23</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
CONDITIONAL STOCHASTIC SIMULATION OF CARBON DIOXIDE CONCENTRATIONS
Popis výsledku v původním jazyce
This paper deals with conditional stochastic simulation. Old, abandoned coal mines contain the vestiges of coal mine gas. Coal mine gas usually consists of methane, nitrogen and carbon dioxide. But despite that they no longer produce coal, these sites are still contributing to climate change by leaking carbon dioxide into the atmosphere. The concentrations of carbon dioxide were studied and used as input parameters for stochastic simulation. Kriged surface underestimates the high values and overestimates the low values. The simulation model is conditioned to reproduce the data at known sample points to minimize the variability between the simulated data and the true field data. The main aim of this investigation is to compare selected interpolation methods that are currently used in practice with stochastic simulation, based on the development of the values. The advantages and disadvantages of each approach are discussed. The study shall provide users with recommendations for selecting the optimal interpolation method and its application to real data.
Název v anglickém jazyce
CONDITIONAL STOCHASTIC SIMULATION OF CARBON DIOXIDE CONCENTRATIONS
Popis výsledku anglicky
This paper deals with conditional stochastic simulation. Old, abandoned coal mines contain the vestiges of coal mine gas. Coal mine gas usually consists of methane, nitrogen and carbon dioxide. But despite that they no longer produce coal, these sites are still contributing to climate change by leaking carbon dioxide into the atmosphere. The concentrations of carbon dioxide were studied and used as input parameters for stochastic simulation. Kriged surface underestimates the high values and overestimates the low values. The simulation model is conditioned to reproduce the data at known sample points to minimize the variability between the simulated data and the true field data. The main aim of this investigation is to compare selected interpolation methods that are currently used in practice with stochastic simulation, based on the development of the values. The advantages and disadvantages of each approach are discussed. The study shall provide users with recommendations for selecting the optimal interpolation method and its application to real data.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10511 - Environmental sciences (social aspects to be 5.7)
Návaznosti výsledku
Projekt
—
Návaznosti
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Lecture notes in geoinformation and cartography. Volume 1
ISBN
978-3-319-61296-6
ISSN
1863-2246
e-ISSN
1863-2351
Počet stran výsledku
10
Strana od-do
321-331
Název nakladatele
Springer
Místo vydání
Cham
Místo konání akce
Ostrava
Datum konání akce
22. 3. 2017
Typ akce podle státní příslušnosti
CST - Celostátní akce
Kód UT WoS článku
000457178200023