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| Created: | Nov 01, 2023 at 3:29 p.m. | |
| Last updated: | Jul 24, 2024 at 12:37 p.m. | |
| DOI: | 10.4211/hs.336edc1205314d33a05e935d4a2cd7c2 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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Abstract
PUBLISHED IN WATER RESOURCES RESEARCH 2024
Groundwater return flow to streams is important for maintaining aquatic habitat and providing water to downstream users, particularly in irrigated watersheds experiencing water scarcity. However, in many agricultural regions, increased irrigation efficiency has reduced return flows and their subsequent in-stream benefits. Agricultural managed aquifer recharge (Ag-MAR)—where artificial recharge is conducted via irrigation canals and agricultural fields—may be a tool to recover these return flows, but implementation is challenged by water supply and water management. Using climate-driven streamflow simulations, an integrated operations-hydrology model, and a regional groundwater model, we investigated the potential for Ag-MAR to recover return flows in the Henrys Fork Snake River, Idaho (USA). We simulated potential Ag-MAR operations for water years 2023–2052, accounting for both future water supply conditions and local water management rules. We determined that Ag-MAR operations reduced springtime peak flow at the watershed outlet by 10–14% after accounting for return flows. Recharge contribution to streamflow peaked in July and November, increasing July–August streamflow by 6–14% and November–March streamflow by 9–14%. Furthermore, sites where Ag-MAR was conducted incidental to flood irrigation had more water available for recharge, compared to sites requiring recharge rights, which are junior in priority to agricultural rights. Mean annual recharge volume for the incidental recharge sites averaged 12% of annual natural streamflow, ranged from 269–335 Mm3, and was largely available in April and October. We demonstrate Ag-MAR can effectively recover groundwater return flows when applied as flood irrigation on agricultural land with senior-priority water rights.
Subject Keywords
Coverage
Spatial
Content
readme.txt
This is a repository of code, data, and output for the peer-reviewed scientific manuscript "Can Agricultural Managed Aquifer Recharge (Ag-MAR) Recover Return Flows Under Prior Appropriation in a Warming Climate?" by C. N. Morrisett, R. W. Van Kirk, and S. E. Null. ***Before running any code, ensure you have opened the RProject file first (so the here() function will work).*** There are multiple code files. Their file names note the order in which they should be run. File names are organized as: NUMBER1_ACTIVITY-NUMBER2_NAME. NUMBER1 is 1-4. Files that start with 1 are relative to the Streamflow Simulation component of this work. Files that start with 2 are relative to the Ag-MAR Simulation component of this work, and relies on output from the Streamflow Simulation. Files that start with 3 are relative to the Streamflow Reponse from MAR component of this work, and relies on output from both the Streamflow and Ag-MAR simulations. Files that start with 4 are summaries and visualization for all components of this work (1, 2, and 3). ACTIVITY is either DataPrep, Execute, Bckgrnd, or Viz. DataPrep files are those that either explore data or prepare data files important for informing Execution files. Execution files conduct the meat of each component: simulating streamflow, Ag-MAR, or the streamflow response to Ag-MAR. Bckgrnd files conduct analysis needed for the introductory text of the manuscript. Viz files create visualizations and provide summaries for all components of this work. Generally, DataPrep must be done before Execution, and Execution before Viz. For the Streamflow Simulation component (files that start with 1_), the DataPrep files do not need to be conducted before Execution. But they informed the model choices for the simulation and are provided for transparency. NUMBER2 communicates the given order files within the same NUMBER1 and ACTIVITY are executed. If there are multiples of NUMBER2 within a NUMBER1 file category, this indicates that no order of operation is required. NAME communicates additional details of each file. To recreate Figure 4 and S7, see file 4_Viz_StreamflowGraph.R To recreate Figure 5-7 and S8-11, see file 4_Viz_ReachGainImpact.R To recreate Figure S1, see file 4_Viz_SimSensitivity.R To recreate Figures S3-S6, see file 4_Viz_HydroclimProjection.R
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| U.S. Bureau of Reclamation | WaterSMART Applied Science Grant | R21AP10036 |
| Henry's Fork Foundation | Individual Donations | |
| National Science Foundation | 1633756 | |
| U.S. Department of Agriculture | National Institute of Food and Agriculture | 2021-69012-35916 |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
| Name | Organization | Address | Phone | Author Identifiers |
|---|---|---|---|---|
| Sarah Null | Utah State University;iUTAH | Utah, US | ||
| Robert W. Van Kirk | Henry's Fork Foundation |
How to Cite
This resource is shared under the Creative Commons Attribution-NoCommercial-ShareAlike CC BY-NC-SA.
http://creativecommons.org/licenses/by-nc-sa/4.0/
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