The effect of climate factors on the size of forest wildfires (case study: Prague-East district, Czech Republic)

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F22%3A94333" target="_blank" >RIV/60460709:41320/22:94333 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/article/10.1007/s11676-021-01413-w" target="_blank" >https://link.springer.com/article/10.1007/s11676-021-01413-w</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s11676-021-01413-w" target="_blank" >10.1007/s11676-021-01413-w</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The effect of climate factors on the size of forest wildfires (case study: Prague-East district, Czech Republic)

Popis výsledku v původním jazyce

This paper presents a new approach to identifying the climate variables that influence the size of the area burned by forest wildfires. Multiple linear regression was used in combination with nonlinear variable transformations to determine relevant nonlinear forest wildfire size functions. Data from the Prague-East District of the Czech Republic was used for model derivation. Individual burned forest area was hypothesized as a function of water vapor pressure, air temperature and wind speed. Wind speed was added to enhance predictions of the size of forest wildfires, and further improvements to the utility of prediction methods were added to the regression equation. The results show that if the air temperature increases, it may contain less water and the fuel will become drier. The size of the burned area then increases. If the relative humidity in the air increases and the wind speed decreases, the size of the burned area is reduced. Our model suggests that changes in the climate factors caused by o

Název v anglickém jazyce

The effect of climate factors on the size of forest wildfires (case study: Prague-East district, Czech Republic)

Popis výsledku anglicky

This paper presents a new approach to identifying the climate variables that influence the size of the area burned by forest wildfires. Multiple linear regression was used in combination with nonlinear variable transformations to determine relevant nonlinear forest wildfire size functions. Data from the Prague-East District of the Czech Republic was used for model derivation. Individual burned forest area was hypothesized as a function of water vapor pressure, air temperature and wind speed. Wind speed was added to enhance predictions of the size of forest wildfires, and further improvements to the utility of prediction methods were added to the regression equation. The results show that if the air temperature increases, it may contain less water and the fuel will become drier. The size of the burned area then increases. If the relative humidity in the air increases and the wind speed decreases, the size of the burned area is reduced. Our model suggests that changes in the climate factors caused by o

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40102 - Forestry

Projekt

<a href="/cs/project/EF16_019%2F0000803" target="_blank" >EF16_019/0000803: Excelentní Výzkum jako podpora Adaptace lesnictví a dřevařství na globální změnu a 4. průmyslovou revoluci</a><br>

Návaznosti

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

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

Journal of Forestry Research

ISSN

1007-662X

e-ISSN

—

Svazek periodika

33

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

10

Strana od-do

1291-1300

Kód UT WoS článku

000716241200002

EID výsledku v databázi Scopus

2-s2.0-85118670004