Sensitivity of water reallocation performance assessments to water use data
[EN] The lack of detailed and reliable data on the estimates of water use has been a key limitation in informing sustainable, equitable and efficient water reallocations in the agricultural sector. Conventional water use data have been commonly obtained from surveys or agronomic models, which have l...
| Autores: | ; ; ; ; ; ; |
|---|---|
| Tipo de documento: | Artículo |
| Estado: | Published version |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universidad de Salamanca (USAL) |
| Repositorio: | GREDOS. Repositorio Institucional de la Universidad de Salamanca |
| OAI Identifier: | oai:gredos.usal.es:10366/169816 |
| Acceso en línea: | http://hdl.handle.net/10366/169816 |
| Nivel de acceso: | Acceso abierto |
| Palabra clave: | Remote sensing Positive mathematical programming Buyback program Crop water use Water scarcity 5308 Economía General 5401.01 Distribución de Recursos Naturales |
| _version_ | 1878729444414193664 |
|---|---|
| author | Sánchez Daniel, Ángel |
| author2 | Garrido Rubio, Jesús Molina Medina, Antonio Jesús Gil García, Laura Sapino, Francesco González-Piqueras, José Pérez Blanco, Carlos Dionisio |
| author2_role | author author author author author author |
| author_browse | Garrido Rubio, Jesús Gil García, Laura González-Piqueras, José Molina Medina, Antonio Jesús Pérez Blanco, Carlos Dionisio Sapino, Francesco Sánchez Daniel, Ángel |
| author_facet | Sánchez Daniel, Ángel Garrido Rubio, Jesús Molina Medina, Antonio Jesús Gil García, Laura Sapino, Francesco González-Piqueras, José Pérez Blanco, Carlos Dionisio |
| author_role | author |
| collection | GREDOS. Repositorio Institucional de la Universidad de Salamanca |
| description | [EN] The lack of detailed and reliable data on the estimates of water use has been a key limitation in informing sustainable, equitable and efficient water reallocations in the agricultural sector. Conventional water use data have been commonly obtained from surveys or agronomic models, which have limitations on accurately reflecting the actual water use. This paper integrates cutting-edge satellite-based water use data with an ensemble of four Calibrated Mathematical Programming Models (CMPM) (one Positive Multi-Attribute Utility Programming model, one Weighted Goal Programming model, and two Positive Mathematical Programming models) to assess and compare the performance of water reallocations under satellite-based versus conventional water use estimates. We apply these methods to the water-stressed Mancha Oriental Aquifer (MOA) in central Spain, where we simulate the impacts of a hypothetical temporary water reacquisition policy in 2017, the last dry year in record. We find that water use estimates obtained with conventional approaches (which range between 4916 m3/ha and 4510m3/ha, on average) are 13–24 % lower than satellite-based estimates (5577 m3/ha on average) during the dry year. Moreover, the water reacquisition simulation using the CMPM ensemble shows that the reserve prices (25–66 % higher) and buyback costs (26–67 % higher) derived from conventional water use data approaches are consistently and significantly higher than those derived from satellite-based water use estimates for all the elements of the ensemble, suggesting that a policy informed with satellite-based data could significantly reduce the costs of the reallocation. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | ES_080e5eb5bc8a0748c2f0accfe09fc827 |
| institution | Universidad de Salamanca (USAL) |
| instname_str | Universidad de Salamanca (USAL) |
| network_acronym_str | ES |
| network_name_str | España |
| oai_identifier_str | oai:gredos.usal.es:10366/169816 |
| publishDate | 2024 |
| publishDateSort | 2024 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| reponame_str | GREDOS. Repositorio Institucional de la Universidad de Salamanca |
| spelling | Sensitivity of water reallocation performance assessments to water use data Sánchez Daniel, Ángel Garrido Rubio, Jesús Molina Medina, Antonio Jesús Gil García, Laura Sapino, Francesco González-Piqueras, José Pérez Blanco, Carlos Dionisio Remote sensing Positive mathematical programming Buyback program Crop water use Water scarcity 5308 Economía General 5401.01 Distribución de Recursos Naturales [EN] The lack of detailed and reliable data on the estimates of water use has been a key limitation in informing sustainable, equitable and efficient water reallocations in the agricultural sector. Conventional water use data have been commonly obtained from surveys or agronomic models, which have limitations on accurately reflecting the actual water use. This paper integrates cutting-edge satellite-based water use data with an ensemble of four Calibrated Mathematical Programming Models (CMPM) (one Positive Multi-Attribute Utility Programming model, one Weighted Goal Programming model, and two Positive Mathematical Programming models) to assess and compare the performance of water reallocations under satellite-based versus conventional water use estimates. We apply these methods to the water-stressed Mancha Oriental Aquifer (MOA) in central Spain, where we simulate the impacts of a hypothetical temporary water reacquisition policy in 2017, the last dry year in record. We find that water use estimates obtained with conventional approaches (which range between 4916 m3/ha and 4510m3/ha, on average) are 13–24 % lower than satellite-based estimates (5577 m3/ha on average) during the dry year. Moreover, the water reacquisition simulation using the CMPM ensemble shows that the reserve prices (25–66 % higher) and buyback costs (26–67 % higher) derived from conventional water use data approaches are consistently and significantly higher than those derived from satellite-based water use estimates for all the elements of the ensemble, suggesting that a policy informed with satellite-based data could significantly reduce the costs of the reallocation. The research leading to these results has been developed with the support of the Ministry of Science and Innovation's IRENE Project (Integrated socioeconomic and environmental modelling using remote sensing data for the management of unauthorized water abstractions), the PRIMA Foundation's TALANOA-WATER Project (Talanoa Water Dialogue for Transformational Adaptation to Water Scarcity under Climate Change), the EU Horizon Europe's TRANSCEND Project (Transformational and Robust Adaptation to Water Scarcity and Climate Change under Deep Uncertainty) and the EU Horizon Europe's REXUS Project (Managing Resilient Nexus Systems Through Participatory Systems Dynamics Modelling). Elsevier http://hdl.handle.net/10366/169816 |
| spellingShingle | Sensitivity of water reallocation performance assessments to water use data Sánchez Daniel, Ángel Remote sensing Positive mathematical programming Buyback program Crop water use Water scarcity 5308 Economía General 5401.01 Distribución de Recursos Naturales |
| status_str | publishedVersion |
| title | Sensitivity of water reallocation performance assessments to water use data |
| title_full | Sensitivity of water reallocation performance assessments to water use data |
| title_fullStr | Sensitivity of water reallocation performance assessments to water use data |
| title_full_unstemmed | Sensitivity of water reallocation performance assessments to water use data |
| title_short | Sensitivity of water reallocation performance assessments to water use data |
| title_sort | Sensitivity of water reallocation performance assessments to water use data |
| topic | Remote sensing Positive mathematical programming Buyback program Crop water use Water scarcity 5308 Economía General 5401.01 Distribución de Recursos Naturales |
| topic_facet | Remote sensing Positive mathematical programming Buyback program Crop water use Water scarcity 5308 Economía General 5401.01 Distribución de Recursos Naturales |
| url | http://hdl.handle.net/10366/169816 |