Zhou et al_2020_PNAS_dataset.xlsx
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<b>National Long-term Water Use Dataset of China (NLWUD)</b> <b>Citation: </b>Zhou, F.; Bo, Y.; Ciais, P.; Dumas, P.; Tang, Q.; Wang, X.; et al., Deceleration of China’s human water use and its key drivers. <b><i>PNAS</i></b>.<b><i> </i></b>2020, 117: 1-10. https://doi.org/10.1073/pnas.1909902117. <b>Contact:</b><b> </b>Direct questions, additional information regarding publications and research by email to zhouf@pku.edu.cn. <b>Data Products:</b>1. Water use by sector and prefecture during the period 1965–2013.2. Water use intensity (WUI) by sector and prefecture during the period 1965–2013.3. Size indicators by sector and prefecture during the period 1965–2013, where the indicators include Irrigated area by crop, Industrial gross value added (GVA) by sub-sector, Service GVA, urban and rural populations, and livestock population by animal.4. LMDI decomposition results of water use change for three periods (1965-1975, 1975-1992, 1992-2013).5. Data for identifying the drivers for irrigation and industrial WUIs and Budyko-type analysis by province during the period 1971–2013, including Potential irrigation requirements, Freshwater availability allocated to irrigation sector, the ratio between the area equipped for water-conserving irrigation and total irrigated area (water-conserving irrigation technologies refer to drip or sprinkler irrigation systems and canal lining), the ratio of recycled water to total industrial WU, the ratio of evaporated water to total industrial WU, and irrigation water consumption.6. GIS files for spatial distribution of 341 prefectures in China.7. Codes used in data analysis/figure creation for the manuscript. The Codes were written by Yan Bo at the Peking University. <b>List of crops, industries, and livestocks included:</b>Wheat, maize, rice, vegetables and fruits, and other crops;thermal electricity, mining, cement, electronics, machinery, metallurgy, petrochemicals, textile, paper making, food processing, and other industries;swine, sheep, poultries, cattle, donkeys, horses, and mules <b>License:</b>Creative Commons Attribution 4.0 International Data may be freely downloaded for research, study, or teaching, but must be cited appropriately. Re-release of the data, or incorporation of the data into a commercial product, is allowed only with explicit permission. If you would like to request permission to use this dataset for another purpose, please contact us at zhouf@pku.edu.cn.
<b>中国国家长期用水数据集（National Long-term Water Use Dataset, NLWUD）</b> <b>引用格式：</b> Zhou, F.; Bo, Y.; Ciais, P.; Dumas, P.; Tang, Q.; Wang, X.; 等. 中国人类用水速率减缓及其关键驱动因素. <b><i>美国科学院院刊（PNAS）</i></b>. 2020, 117: 1-10. https://doi.org/10.1073/pnas.1909902117. <b>联系方式：</b> 如有疑问、需获取论文相关补充信息或研究相关内容，请发送邮件至zhouf@pku.edu.cn。 <b>数据产品：</b> 1. 1965–2013年分行业、分地级市用水数据。 2. 1965–2013年分行业、分地级市用水强度（Water Use Intensity, WUI）。 3. 1965–2013年分行业、分地级市规模指标，涵盖按作物分类的灌溉面积、按子行业划分的工业增加值（Gross Value Added, GVA）、服务业增加值、城乡人口以及按畜种分类的畜禽存栏量。 4. 三个时段（1965-1975、1975-1992、1992-2013）用水变化的对数平均迪氏指数分解（LMDI）结果。 5. 1971–2013年分省份识别灌溉与工业用水强度驱动因子以及布迪科（Budyko）类分析所需数据，包括潜在灌溉需水量、分配至灌溉领域的淡水可供应量、节水灌溉面积占总灌溉面积的比例（节水灌溉技术指滴灌、喷灌系统及渠道衬砌技术）、再生水占工业总用水量的比例、蒸发耗水量占工业总用水量的比例以及灌溉用水量。 6. 中国341个地级市空间分布的地理信息系统（Geographic Information System, GIS）文件。 7. 论文数据分析与图表绘制所用代码，由北京大学的闫博（Yan Bo）编写。 <b>涵盖的作物、行业及畜禽种类：</b> 作物类：小麦、玉米、水稻、果蔬及其他作物； 行业类：火力发电、采矿、水泥制造、电子、机械、冶金、石化、纺织、造纸、食品加工及其他行业； 畜禽类：猪、羊、家禽、牛、驴、马及骡。 <b>使用许可：</b> 知识共享署名4.0国际许可协议（Creative Commons Attribution 4.0 International）。本数据集可免费下载用于科研、学习或教学，但需规范引用。若需重新发布本数据集或将其纳入商业产品，需获得明确许可。若需申请其他用途的使用权限，请发送邮件至zhouf@pku.edu.cn与我们联系。
