Articles | Volume 17, issue 5
https://doi.org/10.5194/hess-17-1797-2013
© Author(s) 2013. 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-17-1797-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 May 2013
Research article |
| 08 May 2013
A decision tree model to estimate the value of information provided by a groundwater quality monitoring network
A. I. Khader
Utah State University, Logan, UT, USA
currently at: McMaster University, Hamilton, ON, Canada
D. E. Rosenberg
Utah State University, Logan, UT, USA
M. McKee
Utah State University, Logan, UT, USA
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Cited
17 citations as recorded by crossref.
- A Pivotal New Approach to Groundwater Quality Assessment M. Cherry et al. https://doi.org/10.1021/acsestwater.2c00121
- Runoff Forecast Model Based on an EEMD-ANN and Meteorological Factors Using a Multicore Parallel Algorithm S. Liao et al. https://doi.org/10.1007/s11269-023-03442-y
- Optimal redesign of coastal groundwater quality monitoring networks under uncertainty: application of the theory of belief functions M. Hosseini & R. Kerachian https://doi.org/10.1007/s11356-023-26764-1
- Use of GIS, Statistics and Machine Learning for Groundwater Quality Management: Application to Nitrate Contamination T. Judeh et al. https://doi.org/10.1134/S0097807822030162
- Identification of the Nitrogen Sources in the Eocene Aquifer Area (Palestine) M. Almasri et al. https://doi.org/10.3390/w12041121
- Use of Machine Learning in Evaluation of Drought Perception in Irrigated Agriculture: The Case of an Irrigated Perimeter in Brazil L. Xavier et al. https://doi.org/10.3390/w12061546
- A Value‐Based Model Selection Approach for Environmental Random Variables M. Müller & S. Thompson https://doi.org/10.1029/2018WR023000
- Machine Learning for Modeling Water Demand M. Villarin & V. Rodriguez-Galiano https://doi.org/10.1061/(ASCE)WR.1943-5452.0001067
- Rainfall and streamflow sensor network design: a review of applications, classification, and a proposed framework J. Chacon-Hurtado et al. https://doi.org/10.5194/hess-21-3071-2017
- Where to measure water quality ? Application to nitrogen pollution in a catchment in France D. François & Z. Youssef https://doi.org/10.1016/j.jenvman.2022.116721
- Cost-benefit analysis of nitrate abatement in the Souffel catchment (France): Sensitivity study of the damage and spatialization of the abatement effort D. François & Z. Youssef https://doi.org/10.1016/j.eiar.2022.106791
- Physio‐climatic controls on vulnerability of watersheds to climate and land use change across the U. S. A. Deshmukh & R. Singh https://doi.org/10.1002/2016WR019189
- Design of a high-coverage ground-based CO2 monitoring layout using a novel information theory-based optimization model P. Bakhtiari et al. https://doi.org/10.1007/s10661-021-08933-2
- Making the most of data: An information selection and assessment framework to improve water systems operations M. Giuliani et al. https://doi.org/10.1002/2015WR017044
- An Analysis of the Value of Additional Information Provided by Water Quality Measurement Network F. Destandau & A. Diop https://doi.org/10.4236/jwarp.2016.88062
- Application of a Geochemically Informed Leak Detection (GILD) Model to CO2 Injection Sites on the United States Gulf Coast J. Wang et al. https://doi.org/10.1016/j.ijggc.2024.104059
- Valeur de l'information des réseaux de surveillance de la qualité de l'eau F. Destandau & A. Diop https://doi.org/10.3917/reru.163.0649
17 citations as recorded by crossref.
- A Pivotal New Approach to Groundwater Quality Assessment M. Cherry et al. https://doi.org/10.1021/acsestwater.2c00121
- Runoff Forecast Model Based on an EEMD-ANN and Meteorological Factors Using a Multicore Parallel Algorithm S. Liao et al. https://doi.org/10.1007/s11269-023-03442-y
- Optimal redesign of coastal groundwater quality monitoring networks under uncertainty: application of the theory of belief functions M. Hosseini & R. Kerachian https://doi.org/10.1007/s11356-023-26764-1
- Use of GIS, Statistics and Machine Learning for Groundwater Quality Management: Application to Nitrate Contamination T. Judeh et al. https://doi.org/10.1134/S0097807822030162
- Identification of the Nitrogen Sources in the Eocene Aquifer Area (Palestine) M. Almasri et al. https://doi.org/10.3390/w12041121
- Use of Machine Learning in Evaluation of Drought Perception in Irrigated Agriculture: The Case of an Irrigated Perimeter in Brazil L. Xavier et al. https://doi.org/10.3390/w12061546
- A Value‐Based Model Selection Approach for Environmental Random Variables M. Müller & S. Thompson https://doi.org/10.1029/2018WR023000
- Machine Learning for Modeling Water Demand M. Villarin & V. Rodriguez-Galiano https://doi.org/10.1061/(ASCE)WR.1943-5452.0001067
- Rainfall and streamflow sensor network design: a review of applications, classification, and a proposed framework J. Chacon-Hurtado et al. https://doi.org/10.5194/hess-21-3071-2017
- Where to measure water quality ? Application to nitrogen pollution in a catchment in France D. François & Z. Youssef https://doi.org/10.1016/j.jenvman.2022.116721
- Cost-benefit analysis of nitrate abatement in the Souffel catchment (France): Sensitivity study of the damage and spatialization of the abatement effort D. François & Z. Youssef https://doi.org/10.1016/j.eiar.2022.106791
- Physio‐climatic controls on vulnerability of watersheds to climate and land use change across the U. S. A. Deshmukh & R. Singh https://doi.org/10.1002/2016WR019189
- Design of a high-coverage ground-based CO2 monitoring layout using a novel information theory-based optimization model P. Bakhtiari et al. https://doi.org/10.1007/s10661-021-08933-2
- Making the most of data: An information selection and assessment framework to improve water systems operations M. Giuliani et al. https://doi.org/10.1002/2015WR017044
- An Analysis of the Value of Additional Information Provided by Water Quality Measurement Network F. Destandau & A. Diop https://doi.org/10.4236/jwarp.2016.88062
- Application of a Geochemically Informed Leak Detection (GILD) Model to CO2 Injection Sites on the United States Gulf Coast J. Wang et al. https://doi.org/10.1016/j.ijggc.2024.104059
- Valeur de l'information des réseaux de surveillance de la qualité de l'eau F. Destandau & A. Diop https://doi.org/10.3917/reru.163.0649
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