Model Code Name:
Seasonality Trend Decomposition of Groundwater hydrographs by STL and time series analysis  

Description:
The STL (Seasonal Trend by LOESS) method is used to decompose groundwater level time series. The different components are then analysed using time series clustering and correlation analysis  

Purpose:
Statistical analysis of groundwater levels  

Type:
Time series analysis  

Mathematical Type:
Not Entered  

URL:
 

Minimum Time Step:
1 minute  

Maximum Time Step:
yearly  

Version:
 

Publication date:
10-Jun-2015  

Publications:
Title Published? Publication URL Digital Object Identifier Authors Year Published Other Details
Use of seasonal trend decomposition to understand groundwater behaviour in the Permo-Triassic Sandstone aquifer, Eden Valley, UK     Lafare A.E.A., Peach D.W., Hughes A.G.  Hydrogeology Journal (in press) 

Computing Parameters:
Parameter Name Input/Output
Rainfall time series (P) 
Groundwater level - time series 
River flow time series 
Remainder component 
Long term trend of groundwater level 
Seasonal fluctuation of groundwater level 
 

Keywords:
 

Computing requirements:
Operating SystemCode languageCPUSystem MemoryComments
Win7  R Language       
LINUX  R Language       
 

Responsible Parties:
NameOrganisationCountryEmail
Antoine Lafare   British Geological Survey   UK   antoinel@bgs.ac.uk