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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Groundwater Recharge and Flow: Approaches and Challenges for Monitoring and Modeling Using Remotely Sensed Data: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25615.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Groundwater Recharge and Flow: Approaches and Challenges for Monitoring and Modeling Using Remotely Sensed Data: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25615.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Groundwater Recharge and Flow: Approaches and Challenges for Monitoring and Modeling Using Remotely Sensed Data: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25615.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Groundwater Recharge and Flow: Approaches and Challenges for Monitoring and Modeling Using Remotely Sensed Data: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25615.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Groundwater Recharge and Flow: Approaches and Challenges for Monitoring and Modeling Using Remotely Sensed Data: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25615.
×
Page 45
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Groundwater Recharge and Flow: Approaches and Challenges for Monitoring and Modeling Using Remotely Sensed Data: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25615.
×
Page 46
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Groundwater Recharge and Flow: Approaches and Challenges for Monitoring and Modeling Using Remotely Sensed Data: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25615.
×
Page 47
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Groundwater Recharge and Flow: Approaches and Challenges for Monitoring and Modeling Using Remotely Sensed Data: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25615.
×
Page 48
Next: Appendix A: Statement of Task »
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Water of appropriate quantity and quality is essential for drinking, sanitation, and food, energy, and industrial production for any society and is derived for most needs from surface- or groundwater sources. Studies suggest that groundwater use in irrigation globally is increasing in total volume as well as a percentage of all water used for irrigation, with the demand for groundwater resources increasing as available primary surface water supplies are depleted. Particularly in arid regions, groundwater may be the most accessible water supply for any purpose, leaving groundwater withdrawals concentrated in areas that are already experiencing water stress.

Even in the presence of direct ground observations and measurements of the water table, quantitative evaluation of groundwater storage, flow, or recharge at different scales requires remotely sensed data and observations applied to groundwater models. Resolving the interaction of groundwater storage, flow, and recharge at a scale at which basins are managed requires remotely sensed data and proxy data.

In June 2019, the Water Science and Technology Board of the National Academies of Sciences, Engineering, and Medicine convened a workshop to identify scientific and technological research frontiers in monitoring and modeling groundwater recharge and flow in various regions of the world. The goals of the workshop were to assess regional freshwater budgets under major use scenarios, including agriculture, industry, and municipal; examine state of the art research frontiers in characterizing groundwater aquifers, including residence time, quantity, flow, depletion, and recharge, using remotely sensed observations and proxy data; discuss groundwater model uncertainties and methods for mitigating them using sparse ground observations or data and other approaches; and consider our ability to detect which water management strategies that affect groundwater flow and recharge are being used and any changes in their use over time. This publication summarizes workshop presentations and plenary discussions.

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