Articles | Volume 19, issue 9
https://doi.org/10.5194/hess-19-3925-2015
© Author(s) 2015. 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-19-3925-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Definition of efficient scarcity-based water pricing policies through stochastic programming
Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, Valencia, Spain
M. Pulido-Velazquez
Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, Valencia, Spain
A. Tilmant
Department of Civil and Water Engineering, Université Laval, Québec City, Québec, Canada
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Cited
16 citations as recorded by crossref.
- Design and assessment of an efficient and equitable dynamic urban water tariff. Application to the city of Valencia, Spain A. Lopez-Nicolas et al. 10.1016/j.envsoft.2017.12.018
- Economic water management decisions: trade-offs between conflicting objectives in the sub-middle region of the São Francisco watershed G. Souza da Silva & M. de Moraes 10.1007/s10113-018-1319-5
- Pricing Strategy for Residential Water in Drought Years. Application to the City of Tianjin, China B. Yu et al. 10.3390/w13081073
- Economic Value of Climate Change Adaptation Strategies for Water Management in Spain’s Jucar Basin A. Escriva-Bou et al. 10.1061/(ASCE)WR.1943-5452.0000735
- Hydro-Economic Modeling of Water Resources Management Challenges: Current Applications and Future Directions J. Ortiz-Partida et al. 10.1142/S2382624X23400039
- Determinants of the price response to residential water tariffs: Meta-analysis and beyond R. Marzano et al. 10.1016/j.envsoft.2017.12.017
- Embedding scarcity in urban water tariffs: mapping supply and demand in North Taiwan M. Yuan et al. 10.1007/s12665-019-8318-9
- Policy Note: "Short-term Pain for Long-term Gain: Urban Water Pricing and the Risk-adjusted User Cost" L. Chu & R. Quentin Grafton 10.1142/S2382624X18710054
- Development of a Water-Pricing Model for Domestic Water Uses in Dhaka City Using an IWRM Framework S. Kashem & M. Mondal 10.3390/w14091328
- Towards a smart water city: A comprehensive review of applications, data requirements, and communication technologies for integrated management M. Oberascher et al. 10.1016/j.scs.2021.103442
- Non-renewable groundwater use and groundwater depletion: a review M. Bierkens & Y. Wada 10.1088/1748-9326/ab1a5f
- Causal Reasoning: Towards Dynamic Predictive Models for Runoff Temporal Behavior of High Dependence Rivers J. Molina et al. 10.3390/w11050877
- Response of residential water demand to dynamic pricing: Evidence from an online experiment R. Marzano et al. 10.1016/j.wre.2020.100169
- System Dynamics-Multiple Objective Optimization Model for Water Resource Management: A Case Study in Jiaxing City, China X. Zhou et al. 10.3390/w13050671
- Assessment of Smart-Meter-Enabled Dynamic Pricing at Utility and River Basin Scale C. Rougé et al. 10.1061/(ASCE)WR.1943-5452.0000888
- Improved Implicit Stochastic Optimization technique under drought conditions: the case study of Agri–Sinni water system A. Sulis 10.1080/15715124.2017.1378225
15 citations as recorded by crossref.
- Design and assessment of an efficient and equitable dynamic urban water tariff. Application to the city of Valencia, Spain A. Lopez-Nicolas et al. 10.1016/j.envsoft.2017.12.018
- Economic water management decisions: trade-offs between conflicting objectives in the sub-middle region of the São Francisco watershed G. Souza da Silva & M. de Moraes 10.1007/s10113-018-1319-5
- Pricing Strategy for Residential Water in Drought Years. Application to the City of Tianjin, China B. Yu et al. 10.3390/w13081073
- Economic Value of Climate Change Adaptation Strategies for Water Management in Spain’s Jucar Basin A. Escriva-Bou et al. 10.1061/(ASCE)WR.1943-5452.0000735
- Hydro-Economic Modeling of Water Resources Management Challenges: Current Applications and Future Directions J. Ortiz-Partida et al. 10.1142/S2382624X23400039
- Determinants of the price response to residential water tariffs: Meta-analysis and beyond R. Marzano et al. 10.1016/j.envsoft.2017.12.017
- Embedding scarcity in urban water tariffs: mapping supply and demand in North Taiwan M. Yuan et al. 10.1007/s12665-019-8318-9
- Policy Note: "Short-term Pain for Long-term Gain: Urban Water Pricing and the Risk-adjusted User Cost" L. Chu & R. Quentin Grafton 10.1142/S2382624X18710054
- Development of a Water-Pricing Model for Domestic Water Uses in Dhaka City Using an IWRM Framework S. Kashem & M. Mondal 10.3390/w14091328
- Towards a smart water city: A comprehensive review of applications, data requirements, and communication technologies for integrated management M. Oberascher et al. 10.1016/j.scs.2021.103442
- Non-renewable groundwater use and groundwater depletion: a review M. Bierkens & Y. Wada 10.1088/1748-9326/ab1a5f
- Causal Reasoning: Towards Dynamic Predictive Models for Runoff Temporal Behavior of High Dependence Rivers J. Molina et al. 10.3390/w11050877
- Response of residential water demand to dynamic pricing: Evidence from an online experiment R. Marzano et al. 10.1016/j.wre.2020.100169
- System Dynamics-Multiple Objective Optimization Model for Water Resource Management: A Case Study in Jiaxing City, China X. Zhou et al. 10.3390/w13050671
- Assessment of Smart-Meter-Enabled Dynamic Pricing at Utility and River Basin Scale C. Rougé et al. 10.1061/(ASCE)WR.1943-5452.0000888
Saved (preprint)
Latest update: 21 Nov 2024
Short summary
One of the most promising alternatives to improve the efficiency in water usage is the implementation of scarcity-based pricing policies based on the opportunity cost of water at the basin scale. Time series of the marginal value of water at selected locations (reservoirs) are obtained using a stochastic hydro-economic model and then post-processed to define step water pricing policies.
One of the most promising alternatives to improve the efficiency in water usage is the...