Articles | Volume 15, issue 9
https://doi.org/10.5194/hess-15-2763-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-15-2763-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
01 Sep 2011
Research article |
| 01 Sep 2011
Interpolation of groundwater quality parameters with some values below the detection limit
A. Bárdossy
Institute of Hydraulic Engineering, University of Stuttgart, Stuttgart 70569, Germany
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Cited
25 citations as recorded by crossref.
- Trivariate Frequency Analyses of Peak Discharge, Hydrograph Volume and Suspended Sediment Concentration Data Using Copulas N. Bezak et al. https://doi.org/10.1007/s11269-014-0606-2
- Quantification of contaminant mass discharge and uncertainties: Method and challenges in application at contaminated sites A. Bøllingtoft et al. https://doi.org/10.1016/j.jconhyd.2024.104453
- Factor Copula Models for Replicated Spatial Data P. Krupskii et al. https://doi.org/10.1080/01621459.2016.1261712
- Simulation of conditional non-Gaussian random fields with directional asymmetry S. Hörning & A. Bárdossy https://doi.org/10.1016/j.spasta.2024.100872
- Estimating a Representative Value and Proportion of True Zeros for Censored Analytical Data with Applications to Contaminated Site Assessment C. Haslauer et al. https://doi.org/10.1021/acs.est.6b05385
- A class of skew-multivariate distributions for spatial data P. Krupskii https://doi.org/10.1016/j.jmva.2026.105673
- Multisite precipitation generation using a latent autoregressive model P. Rasmussen https://doi.org/10.1002/wrcr.20164
- Multivariate spatial analysis of groundwater quality using copulas V. Birjandi et al. https://doi.org/10.1007/s11600-023-01073-w
- A non‐stationary factor copula model for non‐Gaussian spatial data S. Mondal et al. https://doi.org/10.1002/sta4.715
- A conceptually superior variant of Shepard's method with modified neighbourhood selection for precipitation interpolation S. Yeggina et al. https://doi.org/10.1002/joc.6091
- Copula-based spatio-temporal modeling of air pollutant data incorporating covariate dependence S. Jeon & J. Choi https://doi.org/10.1016/j.spasta.2025.100951
- Modelling skewed spatial random fields through the spatial vine copula B. Gräler https://doi.org/10.1016/j.spasta.2014.01.001
- A holistic approach for understanding the status of water quality and causes of its deterioration in a drought-prone agricultural area of Southeastern India P. Pathakamuri et al. https://doi.org/10.1007/s11356-022-22906-z
- Comparison of Multivariate Spatial Dependence Structures of DPIL and Flowmeter Hydraulic Conductivity Data Sets at the MADE Site B. Xiao et al. https://doi.org/10.3390/w11071420
- Stochastic reconstruction of spatio-temporal rainfall patterns by inverse hydrologic modelling J. Grundmann et al. https://doi.org/10.5194/hess-23-225-2019
- Space-time simulation of intermittent rainfall with prescribed advection field: Adaptation of the turning band method E. Leblois & J. Creutin https://doi.org/10.1002/wrcr.20190
- Interpolation of precipitation under topographic influence at different time scales A. Bárdossy & G. Pegram https://doi.org/10.1002/wrcr.20307
- The use of personal weather station observations to improve precipitation estimation and interpolation A. Bárdossy et al. https://doi.org/10.5194/hess-25-583-2021
- Improving copula-based spatial interpolation with secondary data S. Gnann et al. https://doi.org/10.1016/j.spasta.2018.07.001
- A review of GIS-integrated statistical techniques for groundwater quality evaluation and protection D. Machiwal et al. https://doi.org/10.1007/s12665-018-7872-x
- A spatial copula interpolation in a random field with application in air pollution data D. Thakur et al. https://doi.org/10.1007/s40808-022-01484-6
- Collocated cokriging and neural-network multi-attribute transform in the prediction of effective porosity: A comparative case study for the Second Wall Creek Sand of the Teapot Dome field, Wyoming, USA S. Moon et al. https://doi.org/10.1016/j.jappgeo.2016.05.008
- Space‐time conditional disaggregation of precipitation at high resolution via simulation A. Bárdossy & G. Pegram https://doi.org/10.1002/2015WR018037
- Screening and optimization of interpolation methods for mapping soil-borne polychlorinated biphenyls A. Liu et al. https://doi.org/10.1016/j.scitotenv.2023.169498
- Including land use information for the spatial estimation of groundwater quality parameters – 2. Interpolation methods, results, and comparison C. Haslauer et al. https://doi.org/10.1016/j.jhydrol.2016.01.054
25 citations as recorded by crossref.
- Trivariate Frequency Analyses of Peak Discharge, Hydrograph Volume and Suspended Sediment Concentration Data Using Copulas N. Bezak et al. https://doi.org/10.1007/s11269-014-0606-2
- Quantification of contaminant mass discharge and uncertainties: Method and challenges in application at contaminated sites A. Bøllingtoft et al. https://doi.org/10.1016/j.jconhyd.2024.104453
- Factor Copula Models for Replicated Spatial Data P. Krupskii et al. https://doi.org/10.1080/01621459.2016.1261712
- Simulation of conditional non-Gaussian random fields with directional asymmetry S. Hörning & A. Bárdossy https://doi.org/10.1016/j.spasta.2024.100872
- Estimating a Representative Value and Proportion of True Zeros for Censored Analytical Data with Applications to Contaminated Site Assessment C. Haslauer et al. https://doi.org/10.1021/acs.est.6b05385
- A class of skew-multivariate distributions for spatial data P. Krupskii https://doi.org/10.1016/j.jmva.2026.105673
- Multisite precipitation generation using a latent autoregressive model P. Rasmussen https://doi.org/10.1002/wrcr.20164
- Multivariate spatial analysis of groundwater quality using copulas V. Birjandi et al. https://doi.org/10.1007/s11600-023-01073-w
- A non‐stationary factor copula model for non‐Gaussian spatial data S. Mondal et al. https://doi.org/10.1002/sta4.715
- A conceptually superior variant of Shepard's method with modified neighbourhood selection for precipitation interpolation S. Yeggina et al. https://doi.org/10.1002/joc.6091
- Copula-based spatio-temporal modeling of air pollutant data incorporating covariate dependence S. Jeon & J. Choi https://doi.org/10.1016/j.spasta.2025.100951
- Modelling skewed spatial random fields through the spatial vine copula B. Gräler https://doi.org/10.1016/j.spasta.2014.01.001
- A holistic approach for understanding the status of water quality and causes of its deterioration in a drought-prone agricultural area of Southeastern India P. Pathakamuri et al. https://doi.org/10.1007/s11356-022-22906-z
- Comparison of Multivariate Spatial Dependence Structures of DPIL and Flowmeter Hydraulic Conductivity Data Sets at the MADE Site B. Xiao et al. https://doi.org/10.3390/w11071420
- Stochastic reconstruction of spatio-temporal rainfall patterns by inverse hydrologic modelling J. Grundmann et al. https://doi.org/10.5194/hess-23-225-2019
- Space-time simulation of intermittent rainfall with prescribed advection field: Adaptation of the turning band method E. Leblois & J. Creutin https://doi.org/10.1002/wrcr.20190
- Interpolation of precipitation under topographic influence at different time scales A. Bárdossy & G. Pegram https://doi.org/10.1002/wrcr.20307
- The use of personal weather station observations to improve precipitation estimation and interpolation A. Bárdossy et al. https://doi.org/10.5194/hess-25-583-2021
- Improving copula-based spatial interpolation with secondary data S. Gnann et al. https://doi.org/10.1016/j.spasta.2018.07.001
- A review of GIS-integrated statistical techniques for groundwater quality evaluation and protection D. Machiwal et al. https://doi.org/10.1007/s12665-018-7872-x
- A spatial copula interpolation in a random field with application in air pollution data D. Thakur et al. https://doi.org/10.1007/s40808-022-01484-6
- Collocated cokriging and neural-network multi-attribute transform in the prediction of effective porosity: A comparative case study for the Second Wall Creek Sand of the Teapot Dome field, Wyoming, USA S. Moon et al. https://doi.org/10.1016/j.jappgeo.2016.05.008
- Space‐time conditional disaggregation of precipitation at high resolution via simulation A. Bárdossy & G. Pegram https://doi.org/10.1002/2015WR018037
- Screening and optimization of interpolation methods for mapping soil-borne polychlorinated biphenyls A. Liu et al. https://doi.org/10.1016/j.scitotenv.2023.169498
- Including land use information for the spatial estimation of groundwater quality parameters – 2. Interpolation methods, results, and comparison C. Haslauer et al. https://doi.org/10.1016/j.jhydrol.2016.01.054
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