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DOI | 10.3724/SP.J.1226.2021.20093 |
The driving force of water resource stress change based on the STIRPAT model: take Zhangye City as a case study | |
Tang, Xia; Wang, XinYuan; Feng, Lei | |
通讯作者 | Tang, X (通讯作者),Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, 260 West Donggang Rd, Lanzhou 730000, Gansu, Peoples R China. |
发表日期 | 2021 |
ISSN | 1674-3822 |
起始页码 | 337 |
结束页码 | 348 |
卷号 | 13期号:4 |
英文摘要 | A prominent contradiction between supply and demand of water resources has restricted local development in social and economic aspects of Zhangye City, located in a typical arid region of China. Our study quantified the Water Resource Stress Index (WRSI) from 2003 to 2017 and examined the factors of population, urbanization level, GDP per capita, Engel coefficient, and water consumption per unit of GDP by using the extended stochastic impact by regression on population, affluence and technology (STIRPAT) model to find the key factors that impact WRSI of Zhangye City to relieve the pressure on water resources. The ridge regression method is applied to improve this model to eliminate multicollinearity problems. The WRSI system was developed from the following three aspects: water resources utilization (WR), regional economic development water use (WU), and water environment stress ( WE). Results show that the WRSI index has fallen from 0.81 (2003) to 0.17 (2017), with an average annual decreased rate of 9.8%. Moreover, the absolute values of normalized coefficients demonstrate that the Engel coefficient has the largest positive contribution to increase WRSI with an elastic coefficient of 0.2709, followed by water consumption per unit of GDP and population with elastic coefficients of 0.0971 and 0.0387, respectively. In contrast, the urbanization level and GDP per capita can decrease WRSI by - 0.2449 and - 0.089, respectively. The decline of WRSI was attributed to water- saving society construction which included the improvement of water saving technology and the adjustment of agricultural planting structures. Furthermore, this study demonstrated the feasibility of evaluating the driving forces affecting WRSI by using the STIRPAT model and ridge regression analysis. |
关键词 | RIDGE-REGRESSIONDECOMPOSITION ANALYSISBIASED-ESTIMATIONIMPACTPOPULATIONEMISSIONSSCARCITYSECURITY |
英文关键词 | water resource stress index; STIRPAT model; driving force analysis; water scarcity |
语种 | 英语 |
WOS研究方向 | Physical Geography |
WOS类目 | Geography, Physical |
WOS记录号 | WOS:000686566700006 |
来源期刊 | SCIENCES IN COLD AND ARID REGIONS |
来源机构 | 中国科学院西北生态环境资源研究院 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/254479 |
作者单位 | [Tang, Xia] Chinese Acad Sci, Key Lab Ecohydrol Inland River Basin, Lanzhou 730000, Gansu, Peoples R China; [Tang, Xia] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, 260 West Donggang Rd, Lanzhou 730000, Gansu, Peoples R China; [Wang, XinYuan] Gansu Monitoring Ctr Ecol Resources, Lanzhou 730020, Gansu, Peoples R China; [Feng, Lei] Gansu Comp Ctr, Lanzhou 730030, Gansu, Peoples R China |
推荐引用方式 GB/T 7714 | Tang, Xia,Wang, XinYuan,Feng, Lei. The driving force of water resource stress change based on the STIRPAT model: take Zhangye City as a case study[J]. 中国科学院西北生态环境资源研究院,2021,13(4). |
APA | Tang, Xia,Wang, XinYuan,&Feng, Lei.(2021).The driving force of water resource stress change based on the STIRPAT model: take Zhangye City as a case study.SCIENCES IN COLD AND ARID REGIONS,13(4). |
MLA | Tang, Xia,et al."The driving force of water resource stress change based on the STIRPAT model: take Zhangye City as a case study".SCIENCES IN COLD AND ARID REGIONS 13.4(2021). |
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