Detection of field significant long-term monotonic trends in spring yields

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F15%3A10285932" target="_blank" >RIV/00216208:11310/15:10285932 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/86652079:_____/15:00473416

Výsledek na webu

<a href="http://dx.doi.org/10.1007/s00477-014-0969-1" target="_blank" >http://dx.doi.org/10.1007/s00477-014-0969-1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s00477-014-0969-1" target="_blank" >10.1007/s00477-014-0969-1</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Detection of field significant long-term monotonic trends in spring yields

Popis výsledku v původním jazyce

Trend analysis is a frequently used tool in hydrology and climatology for the identification of long-term changes. However, studies are usually only oriented on local trends. This paper rather focuses on the spatial application of trend analysis in groundwater data. For this purpose, a modification of the Mann-Kendall test was developed, based on the trend-free pre-whitening approach. This method was successfully tested on 157 series of yields from headwater springs collected in Czechia during the 1971-2007 period. The analysis was done separately for year, each season and each month. Field significant trends in spring yields were identified in hydrogeological regions. The results showed that the field significant trends are outnumbered when cross-correlation is not taken into account. In the case of annual series, 4 of 18 hydrogeological regions investigated showed a significant decreasing trend after corrections for cross-correlation, compared to 12 regions with field significant tre

Název v anglickém jazyce

Detection of field significant long-term monotonic trends in spring yields

Popis výsledku anglicky

Trend analysis is a frequently used tool in hydrology and climatology for the identification of long-term changes. However, studies are usually only oriented on local trends. This paper rather focuses on the spatial application of trend analysis in groundwater data. For this purpose, a modification of the Mann-Kendall test was developed, based on the trend-free pre-whitening approach. This method was successfully tested on 157 series of yields from headwater springs collected in Czechia during the 1971-2007 period. The analysis was done separately for year, each season and each month. Field significant trends in spring yields were identified in hydrogeological regions. The results showed that the field significant trends are outnumbered when cross-correlation is not taken into account. In the case of annual series, 4 of 18 hydrogeological regions investigated showed a significant decreasing trend after corrections for cross-correlation, compared to 12 regions with field significant tre

Druh

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

CEP obor

DA - Hydrologie a limnologie

OECD FORD obor

—

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

Stochastic Environmental Research and Risk Assessment

ISSN

1436-3240

e-ISSN

—

Svazek periodika

29

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

22

Strana od-do

1463-1484

Kód UT WoS článku

000355932400015

EID výsledku v databázi Scopus

2-s2.0-84930543164