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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: 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

本文件夹包含与下述论文相关的输出数据: 论文标题:《全球含水层人工补给潜力作为缓解水资源短缺的解决方案》 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: Figure1.xlsx:各灌区2002-2021年的体积(km³)地下水储量变化、趋势斜率系数、区域面积,以及灌区土地占比(%) Figure2.xlsx:各灌区2002-2021年总水储量(Total Water Storage, TWS)与地下水储量(Groundwater Storage, GWS)异常值的月际长期分量(单位:mm) Figure3.xlsx:2002-2021年期间,考虑90th与95th百分位高流量事件(High-magnitude Flow, HMF)情景下,经可行性加权情景后,各灌区通过人工含水层补给(Managed Aquifer Recharge, MAR)抵消的不可持续灌溉用水占比(%) Figure4.xlsx:2002-2021年期间,考虑90th与95th百分位高流量事件(High-magnitude Flow, HMF)情景下,各灌区通过人工含水层补给(Managed Aquifer Recharge, MAR)抵消的不可持续灌溉用水占比(%)(涵盖100%/50%/10%三种效率场景) Figure5.xlsx:2002-2021年期间,针对可行性加权情景,考虑90th与95th百分位高流量事件(High-magnitude Flow, HMF)情景下,各灌区通过人工含水层补给(Managed Aquifer Recharge, MAR)抵消的不可持续灌溉用水年际占比(%) FigureS2.xlsx:可行性系数(b,t)、入渗系数(b)、蒸散系数(b,t)以及非灌溉季节面积系数(b,t) FigureS3.xlsx:2002-2021年期间,90th与95th百分位高流量事件(High-magnitude Flow, HMF)情景下各灌区的约束诊断结果:约束比(Constraint Ratio, CR)与灌溉用水压力指数(Irrigation Consumption Pressure Index, ICPI) FigureS4.xlsx:各灌区来自GloFAS的日径流时间序列(单位:m³/s) FigureS5-left panels.xlsx:2002-2021年期间,各灌区在不同高流量事件(High-magnitude Flow, HMF)捕获效率场景(100%、50%、10%)下,以及对流量阈值的敏感性(90th百分位HMF情景)中,通过人工含水层补给(Managed Aquifer Recharge, MAR)抵消的不可持续灌溉用水占比(%) FigureS5-right panels.xlsx:2002-2021年期间,各灌区在不同高流量事件(High-magnitude Flow, HMF)捕获效率场景(100%、50%、10%)下,以及对流量阈值的敏感性(95th百分位HMF情景)中,通过人工含水层补给(Managed Aquifer Recharge, MAR)抵消的不可持续灌溉用水占比(%) FigureS6.xlsx:90th百分位高流量事件(High-magnitude Flow, HMF)情景下,2002-2021年各灌区可行性加权MAR情景的水平衡数据,包括:人工含水层补给入渗量(km³)、地下水开采量(km³)、目标含水层恢复体积变化量(km³),以及各区域的不可持续灌溉用水量(km³) FigureS7.xlsx:95th百分位高流量事件(High-magnitude Flow, HMF)情景下,2002-2021年各灌区可行性加权MAR情景的水平衡数据,包括:人工含水层补给入渗量(km³)、地下水开采量(km³)、目标含水层恢复体积变化量(km³),以及各区域的不可持续灌溉用水量(km³) FigureS8.xlsx:2002-2021年平均年不可持续灌溉用水量(km³·yr⁻¹)以及源自Siebert等人2013年研究的地下水灌溉占比数据 FigureS10.xlsx:2002-2021年期间,考虑90th与95th百分位高流量事件(High-magnitude Flow, HMF)情景下,各灌区的月际累积高流量体积(km³) FigureS11.xlsx:2002-2021年平均年灌溉用水量(km³·yr⁻¹) 空间信息请参阅《Irrigation_region》ESRI形状文件,可从以下网址下载:https://doi.org/10.5281/zenodo.13967727 数据集引用: 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(Metadata): Irrigation_regions.zip:灌区的地理空间范围(WGS 1984坐标系,ESRI形状文件) 形状文件结构: 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文件中包含的属性说明如下: - **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(按覆盖面积统计)(遵循ISO3166-1 alpha-3编码) - **Country2**:[文本型] - 灌区覆盖的其他国家(遵循ISO3166-1 alpha-3编码) - **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,单位为km²

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2026-02-23
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