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

Result code in 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>

Alternative codes found

RIV/86652079:_____/15:00473416

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

DA - Hydrology and limnology

OECD FORD branch

—

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2015

Confidentiality

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

Name of the periodical

Stochastic Environmental Research and Risk Assessment

ISSN

1436-3240

e-ISSN

—

Volume of the periodical

29

Issue of the periodical within the volume

5

Country of publishing house

DE - GERMANY

Number of pages

22

Pages from-to

1463-1484

UT code for WoS article

000355932400015

EID of the result in the Scopus database

2-s2.0-84930543164