Analysis of the continual illuminaton measurement in the area of VSB-Technical University in Ostrava

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F12%3A00063222" target="_blank" >RIV/00216224:14310/12:00063222 - 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

Analysis of the continual illuminaton measurement in the area of VSB-Technical University in Ostrava

Popis výsledku v původním jazyce

We present the results of a deep statistical analysis of the continual measurement of the mean illumination at night in the area of VSB-Technical University in Ostrava. The illumination during 509 nights between the years 2006 to 2009 was studied in detail in relation to the characteristics of a particular night. Using a sophisticated linear model applied to the logarithm of the mean night illumination, we determined the dependence of the night illumination on cloudiness, moon phases, and seasons as well as on snow cover. The model is able to predict the night illumination with quasi-random uncertainty of 0.21 dex. This uncertainty can be caused by hardly quantifiable events like rainfall, snowfall, fog or clouds with different albedo. It can also be aconsequence of various human activities that may influence the illumination of sky at night.

Název v anglickém jazyce

Analysis of the continual illuminaton measurement in the area of VSB-Technical University in Ostrava

Popis výsledku anglicky

We present the results of a deep statistical analysis of the continual measurement of the mean illumination at night in the area of VSB-Technical University in Ostrava. The illumination during 509 nights between the years 2006 to 2009 was studied in detail in relation to the characteristics of a particular night. Using a sophisticated linear model applied to the logarithm of the mean night illumination, we determined the dependence of the night illumination on cloudiness, moon phases, and seasons as well as on snow cover. The model is able to predict the night illumination with quasi-random uncertainty of 0.21 dex. This uncertainty can be caused by hardly quantifiable events like rainfall, snowfall, fog or clouds with different albedo. It can also be aconsequence of various human activities that may influence the illumination of sky at night.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

DG - Vědy o atmosféře, meteorologie

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název periodika

GeoScience Engineering

ISSN

1802-5420

e-ISSN

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Svazek periodika

58

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

7

Strana od-do

28-34

Kód UT WoS článku

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EID výsledku v databázi Scopus

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