|
|||||
|
|
| 中国省域三维水生态足迹及其驱动研究 | |
| 引用本文： | 焦士兴,王安周,陈林芳,张建伟,赵荣钦,李中轩,尹义星.中国省域三维水生态足迹及其驱动研究[J].世界地理研究,2022,31(5):988-997. |
| 作者姓名： | 焦士兴 王安周 陈林芳 张建伟 赵荣钦 李中轩 尹义星 |
| 作者单位： | 安阳师范学院资源环境与旅游学院，安阳 455002 洛阳市第十九中学，洛阳 471000 华北水利水电大学测绘与地理信息学院，郑州 450046 许昌学院城乡规划与园林学院，许昌 461000 南京信息工程大学水文与水资源工程学院，南京 210044 |
| 基金项目： | 河南省高等学校重点科研项目(21A170001);河南省大学生创新创业训练计划项目(S202010479032);安阳市2020年科技发展计划项目(101) |
| 摘 要： | 运用三维水生态足迹模型，分析了中国31个省份（不包括港澳台地区）2004—2018年水生态足迹的时空特征，并采用偏最小二乘回归模型进行了驱动力分析。结果表明：①基于不同视角，确定了中国省域三维水生态足迹的类型。从演变趋势来看，山西等10个省份属于先升后降型等4类；从发展限度来看，浙江等14个省份符合可持续等2类。②中国省域三维水生态足迹的空间差异显著，水生态足迹广度大致呈由南向北递减趋势，深度则呈由南向北递增趋势。③中国省域三维水生态足迹的驱动因素存在地域差异，人口规模、产业结构分别对河北等12个省份、北京等18省市影响能力较强，而经济发展、技术进步分别对河北等19个省份、天津等21省市影响显著。因此通过提高人口素质、优化产业结构、发展绿色经济、加强污水防治等举措，以促进中国水资源可持续利用。 |
| 关 键 词： | 三维水生态足迹模型 水资源 时空特征 偏最小二乘回归 中国 |
| 收稿时间： | 2020-09-13 |
| 修稿时间： | 2021-04-26 |
Three-dimensional water ecological footprint measurement and its driving factors in China's provinces |
|
| Shixing JIAO,Anzhou WANG,Linfang CHEN,Jianwei ZHANG,Rongqin ZHAO,Zhongxuan LI,Yixing YIN.Three-dimensional water ecological footprint measurement and its driving factors in China's provinces[J].World Regional Studies,2022,31(5):988-997. | |
| Authors: | Shixing JIAO Anzhou WANG Linfang CHEN Jianwei ZHANG Rongqin ZHAO Zhongxuan LI Yixing YIN |
| Institution: | School of Resources＆Environment and Tourism, Anyang Normal University, Anyang 455002, China Luoyang No. 19 Middle School, Luoyang 471000, China School of Surveying and Geo-informatics, North China University of Water Resource and Electric Power, Zhengzhou 450046, China School of Urban-rural Planning and Architecture, Xuchang University, Xuchang 461000, China School of Hydrology and Water Resources, Nanjing University of Information Science and Technology, Nanjing 210044, China |
| Abstract: | The space-time characteristics of water ecological footprint were analyzed by the three-dimensional water ecological footprint model in 31 provinces and cities of China from 2004 to 2018, and the driving force analysis was carried out by the partial least-two-multiplication regression model. Results show that: ①Based on different perspectives, the types of three-dimensional water ecological footprints in China's provinces are determined. In terms of evolutionary trends, Shanxi and the other 10 provinces and cities fall into four types, such as the first rise and fall type. In terms of development limits, Zhejiang and the other 14 provinces and cities fall into two types, such as the sustainable type.②There are significant spatial differences in the ecological footprint of three-dimensional water in China's provinces, the breadth of the ecological footprint of water shows a decreasing trend from south to north, while the depth shows an increasing trend from south to north.③ There are regional differences in the drivers of the three-dimensional water ecological footprint in China's provinces, the size of the population has a greater impact on 12 provinces, such as Hebei, the industrial structure has a strong influence on 18 provinces and cities, such as Beijing, economic development has a significant impact on 19 provinces and cities, such as Hebei, and technological progress have a significant impact on 21 provinces and cities, such as Tianjin. We should improve the quality of the population, optimize the industrial structure, develop a green economy, strengthen sewage control and other measures. |
| Keywords: | the 3D water ecological footprint model water resources spatial-temporal characteristics partial least square regression China |
| 点击此处可从《世界地理研究》浏览原始摘要信息 | |
| 点击此处可从《世界地理研究》下载免费的PDF全文 | |