TY - GEN
T1 - Statistical analysis of groundwater levels for the determination of design groundwater levels
AU - Lypp, B.
AU - Birle, E.
AU - Cudmani, R.
N1 - Publisher Copyright:
© 17th European Conference on Soil Mechanics and Geotechnical Engineering, ECSMGE 2019 - Proceedings.
PY - 2019
Y1 - 2019
N2 - According to the Eurocode 7 (2010), groundwater investigations shall provide information on possible extreme values and annual probabilities of exceedance of the groundwater levels, which is necessary, for example, for the planning of groundwater lowering during construction, or for the calculation of the ex-pected hydrostatic pressure on a building. Several methods based on stationary extreme value analysis exist to determine the probability of exceedance, amongst others, Fank & Fuchs (1999), Vogt et al. (2006), Fürst et al. (2015) and Lalbat et al. (2015). However, the existing methods do not account for the difficulties in determin-ing the probability of exceedance in urban areas or for non-stationary time series, with a non-zero trend. A new approach to determine the design groundwater level is proposed, which combines the advantages of the differ-ent existing methods and incorporates recent developments in non-stationary extreme value analysis. The method is in parts illustrated through an analysis of groundwater level data from the city of Munich, Germany. In addition, further statistical methodologies are applied to identify any anthropogenic influences, which are expected in urban areas, such as groundwater lowering due to the construction of underground infrastructure.
AB - According to the Eurocode 7 (2010), groundwater investigations shall provide information on possible extreme values and annual probabilities of exceedance of the groundwater levels, which is necessary, for example, for the planning of groundwater lowering during construction, or for the calculation of the ex-pected hydrostatic pressure on a building. Several methods based on stationary extreme value analysis exist to determine the probability of exceedance, amongst others, Fank & Fuchs (1999), Vogt et al. (2006), Fürst et al. (2015) and Lalbat et al. (2015). However, the existing methods do not account for the difficulties in determin-ing the probability of exceedance in urban areas or for non-stationary time series, with a non-zero trend. A new approach to determine the design groundwater level is proposed, which combines the advantages of the differ-ent existing methods and incorporates recent developments in non-stationary extreme value analysis. The method is in parts illustrated through an analysis of groundwater level data from the city of Munich, Germany. In addition, further statistical methodologies are applied to identify any anthropogenic influences, which are expected in urban areas, such as groundwater lowering due to the construction of underground infrastructure.
KW - Anthropogenic influence
KW - Design groundwater levels
KW - Extreme value analysis
KW - Statistical analysis
UR - http://www.scopus.com/inward/record.url?scp=85111933913&partnerID=8YFLogxK
U2 - 10.32075/17ECSMGE-2019-0077
DO - 10.32075/17ECSMGE-2019-0077
M3 - Conference contribution
AN - SCOPUS:85111933913
T3 - 17th European Conference on Soil Mechanics and Geotechnical Engineering, ECSMGE 2019 - Proceedings
BT - 17th European Conference on Soil Mechanics and Geotechnical Engineering, ECSMGE 2019 - Proceedings
A2 - Sigursteinsson, Haraldur
A2 - Erlingsson, Sigurour
A2 - Erlingsson, Sigurour
A2 - Bessason, Bjarni
PB - International Society for Soil Mechanics and Geotechnical Engineering
T2 - 17th European Conference on Soil Mechanics and Geotechnical Engineering, ECSMGE 2019
Y2 - 1 September 2019 through 6 September 2019
ER -