DOI: 10.5281/zenodo.15731808
title: Supplementary Information for "Global managed aquifer recharge potential as a solution to water scarcity"

description: The folder contains the output data relative to the paper:

Global managed aquifer recharge potential as a solution to water scarcity

Authors: Andrea Citrini, Bridget R. Scanlon, Ashraf Rateb, Gang Zhao, Matteo Sangiorgio, Lorenzo Rosa*

* Corresponding Author

Email address: lrosa@carnegiescience.edu

 

FILES:





Figure1.xlsx: Volumetric (km3) groundwater storage change in irrigation regions (2002–2021), trend slope coefficients, areas, and percentage (%) of irrigated land by region







Figure2.xlsx: Monthly long-term components of Total Water Storage (TWS) and Groundwater Storage (GWS) anomalies (mm) for each irrigation reigon (2002–2021)







Figure3.xlsx: Percentage (%) of unsustainable irrigation offset by MAR across irrigation regions (feasibility-weighted scenario) for the 2002-2021 period considering both 90th and 95th percentile HMF scenarios







Figure4.xlsx: Percentage (%) of unsustainable irrigation offset by MAR across irrigation regions for the 2002-2021 period considering both 90th and 95th percentile HMF scenarios (100%/50%/10% efficiency)







Figure5.xlsx: Interannual percentage (%) of unsustainable irrigation offset by MAR across irrigation regions (2002-2021) considering both 90th and 95th percentile HMF scenarios for the feasibility-weighted scenario







FigureS2.xlsx: Feasibility coefficient (b,t), Infiltration coefficient (b), Evapotranspiration coefficient (b,t), and Off-season area coefficient (b,t)

FigureS3.xlsx: Constraint diagnostics by irrigation region (2002–2021) under 90th and 95th percentile HMF scenarios: Constraint Ratio (CR) and Irrigation Consumption Pressure Index (ICPI)







FigureS4.xlsx: Daily discharge time series from GloFAS for each irrigation regions (m3/s)







FigureS5-left panels.xlsx: Percentage (%) of unsustainable irrigation offset by MAR under varying high-magnitude flow (HMF) capture efficiency scenarios (100%, 50%, 10%) and sensitivity to flow thresholds (90th percentile HMF scenario) across irrigation regions (2002–2021)







FigureS5-right panels.xlsx: Percentage (%) of unsustainable irrigation offset by MAR under varying high-magnitude flow (HMF) capture efficiency scenarios (100%, 50%, 10%) and sensitivity to flow thresholds (95th percentile HMF scenario) across irrigation regions (2002–2021)







FigureS6.xlsx: Monthly feasibility-weighted MAR-scenario: water balance for the irrigation regions (2002-2021), under 90th percentile HMF scenario: MAR Infiltration (km3), Groundwater Extraction (km3), variation in target aquifer restoration volume (km3), and unsustainable irrigation water consumption (km3) by region







FigureS7.xlsx: Monthly feasibility-weighted MAR-scenario: water balance for the irrigation regions (2002-2021), under 95th percentile HMF scenario: MAR Infiltration (km3), Groundwater Extraction (km3), variation in target aquifer restoration volume (km3), and unsustainable irrigation water consumption (km3) by region







FigureS8.xlsx: Mean annual unsustainable irrigation water consumption (2002–2021)(km3yr-1) and groundwater-source irrigation share elaborated from Siebert et al. (2013)







FigureS10.xlsx: Monthly accumulated high-magnitude flow volume (km³) by irrigation regions (2002–2021) considering both 90th and 95th percentile HMF scenarios







FigureS11.xlsx: Mean annual irrigation water consumption (2002–2021)(km3yr-1)



 

Please, for the spatial information, refer to the 'Irrigation_region' ESRI shapefile that you can download from here: https://doi.org/10.5281/zenodo.13967727

Citrini, A., Sangiorgio, M., & Rosa, L. (2024). Supplementary dataset for "Global multi-model trends of unsustainable irrigation under climate change scenarios" [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13967727

 

Metadata:

Irrigation_regions.zip: Geospatial extent of irrigation regions (WGS 1984, ESRI shapefile)

 

## Shapefile Structure

 

      The shapefile includes the following files:

      - `Irrigation_regions.shp`: Geometry of the objects.

      - `Irrigation_regions.shx`: Geometry index.

      - `Irrigation_regions.dbf`: Database of attributes associated with the geometry.

      - `Irrigation_regions.prj`: Projection file.

      - `Irrigation_regions.cpg`: Character encoding file.

 

      ## Shapefile Attributes

 

      The attributes present in the `.dbf` file are described below:

 

      - **ID**: [Long] - ID Irrigation region

      - **Name**: [Text] - Name Irrigation region

      - **Country1**: [Text] - Main Country covered by the irrigation region (according to the covered area) (ISO3166-1 alpha-3)

      - **Country2**: [Text] - Other Countries covered by the irrigation region (ISO3166-1 alpha-3)

      - **Continent**: [Text] - Continent covered by the irrigated region (AF: Africa, AS: Asia, AU: Oceania, EU: Europe, NA: North America, SA: South America)

      - **Area_sqkm**: [Double] - Geodesic area of Irrigation region in km2