Supplementary Information for "Global managed aquifer recharge potential as a solution to water scarcity"
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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: Daily discharge time series from GloFAS for each irrigation regions (m3/s) FigureS4-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) FigureS4-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) FigureS5.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 FigureS6.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 FigureS7.xlsx: Mean annual unsustainable irrigation water consumption (2002–2021)(km3yr-1) and groundwater-source irrigation share elaborated from Siebert et al. (2013) FigureS9.xlsx: Monthly accumulated high-magnitude flow volume (km³) by irrigation regions (2002–2021) considering both 90th and 95th percentile HMF scenarios FigureS10.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
本文件夹包含与以下论文相关的产出数据： 《含水层人工补给（Managed Aquifer Recharge, MAR）潜力作为缓解水资源短缺的方案》 作者：Andrea Citrini、Bridget R. Scanlon、Ashraf Rateb、Gang Zhao、Matteo Sangiorgio、Lorenzo Rosa* * 通讯作者 电子邮箱：lrosa@carnegiescience.edu ### 文件列表： 1. **Figure1.xlsx**：2002-2021年各灌区的地下水储量变化量（单位：km³）、趋势斜率系数、区域面积及灌区灌溉土地占比（%） 2. **Figure2.xlsx**：2002-2021年各灌区总水储量（Total Water Storage, TWS）与地下水储量（Groundwater Storage, GWS）距平的月际长期分量（单位：mm） 3. **Figure3.xlsx**：2002-2021年期间，考虑90百分位与95百分位高流量事件（High-Magnitude Flow, HMF）情景下，各灌区通过含水层人工补给（MAR）抵消的不可持续灌溉用水占比（%）（可行性加权情景） 4. **Figure4.xlsx**：2002-2021年期间，考虑90百分位与95百分位HMF情景下，各灌区通过MAR抵消的不可持续灌溉用水占比（%）（效率分别为100%/50%/10%） 5. **Figure5.xlsx**：2002-2021年期间，针对可行性加权情景，考虑90百分位与95百分位HMF情景下，各灌区通过MAR抵消的不可持续灌溉用水占比（%）的年际变化 6. **FigureS2.xlsx**：可行性系数(b,t)、入渗系数(b)、蒸散发系数(b,t)及非灌溉季面积系数(b,t) 7. **FigureS3.xlsx**：各灌区来自GloFAS的日径流时间序列（单位：m³/s） 8. **FigureS4-left panels.xlsx**：2002-2021年期间，各灌区在不同高流量事件（HMF）捕获效率情景（100%、50%、10%）及流量阈值敏感性（90百分位HMF情景）下，通过MAR抵消的不可持续灌溉用水占比（%） 9. **FigureS4-right panels.xlsx**：2002-2021年期间，各灌区在不同高流量事件（HMF）捕获效率情景（100%、50%、10%）及流量阈值敏感性（95百分位HMF情景）下，通过MAR抵消的不可持续灌溉用水占比（%） 10. **FigureS5.xlsx**：2002-2021年期间，90百分位HMF情景下可行性加权MAR情景的灌区水量平衡数据，包括：MAR入渗量（单位：km³）、地下水抽取量（单位：km³）、目标含水层恢复体积变化量（单位：km³）及各灌区不可持续灌溉用水量（单位：km³） 11. **FigureS6.xlsx**：2002-2021年期间，95百分位HMF情景下可行性加权MAR情景的灌区水量平衡数据，包括：MAR入渗量（单位：km³）、地下水抽取量（单位：km³）、目标含水层恢复体积变化量（单位：km³）及各灌区不可持续灌溉用水量（单位：km³） 12. **FigureS7.xlsx**：2002-2021年平均年不可持续灌溉用水量（单位：km³·yr⁻¹）及源自Siebert等人2013年研究的灌区地下水灌溉占比 13. **FigureS9.xlsx**：2002-2021年期间，考虑90百分位与95百分位HMF情景下各灌区的月累计高流量事件体积（单位：km³） 14. **FigureS10.xlsx**：2002-2021年平均年灌溉用水量（单位：km³·yr⁻¹） ### 空间数据说明： 空间信息请参考`Irrigation_region` ESRI形状文件（ESRI shapefile），可通过以下链接下载：https://doi.org/10.5281/zenodo.13967727 引用信息： Citrini, A., Sangiorgio, M., & Rosa, L. (2024). 补充数据集《气候变化情景下不可持续灌溉的全球多模式趋势》[数据集]. Zenodo. https://doi.org/10.5281/zenodo.13967727 ### 元数据： `Irrigation_regions.zip`：灌区的地理空间范围（WGS 1984坐标系，ESRI形状文件） #### 形状文件组成 该形状文件包含以下文件： - `Irrigation_regions.shp`：地物几何信息 - `Irrigation_regions.shx`：几何索引文件 - `Irrigation_regions.dbf`：与几何信息关联的属性数据库 - `Irrigation_regions.prj`：投影文件 - `Irrigation_regions.cpg`：字符编码文件 #### 形状文件属性 `.dbf`文件中包含以下属性字段： - **ID**：[长整型]——灌区ID - **Name**：[文本型]——灌区名称 - **Country1**：[文本型]——灌区覆盖的主要国家（按覆盖面积计，采用ISO 3166-1 α-3国家代码） - **Country2**：[文本型]——灌区覆盖的其他国家（采用ISO 3166-1 α-3国家代码） - **Continent**：[文本型]——灌区所在大洲（AF：非洲、AS：亚洲、AU：大洋洲、EU：欧洲、NA：北美洲、SA：南美洲） - **Area_sqkm**：[双精度浮点型]——灌区的测地面积，单位：km²
