水资源研究  >> Vol. 1 No. 3 (June 2012)

福建省用水结构与产业结构回归分析
Regression Analysis on the Relationship between Water Consumption Structure and Industrial Structure in Fujian Province

DOI: 10.12677/JWRR.2012.13022, PDF, HTML,  被引量 下载: 2,735  浏览: 8,377  科研立项经费支持

作者: 苏龙强, 陈兴伟, 徐宗学, 张 曼

关键词: 用水结构产业结构成分数据偏最小二乘回归分析福建省Water Consumption Structure; Industrial Structure; Compositional Data; Partial Least-Square Regression Analysis; Fujian Province

摘要: 分析用水结构与产业结构的关系,合理确定与科学预测用水结构是制定水资源利用规划的基础。本文综合运用对称logratio变换与偏最小二乘回归(PLS回归)方法,建立了福建省用水结构与产业结构的成分数据线性回归模型。分析结果表明,福建省用水结构与产业结构的成分数据之间具有显著的线性关系;模型拟合精度高,可应用于用水结构的预测;农业用水与第一产业、工业用水与第二产业均呈高度正相关,农业用水与第二、三产业呈显著的负相关,生活用水与产业结构的相关程度较小;产业结构各因子对用水结构解释能力的排序为第二产业 第一产业 第三产业。
Abstract: Prediction of water consumption structure on the basis of the relationship between water consumption structure and industrial structure is essential to the exploitation and utilization of water resources. Based on the symmetrical logratio transformation and partial least-squares regression, linear regression model for water consumption structure and industrial structure in FujianProvinceis developed in this study. Analysis on the model showed that the compositional data of water consumption structure and industrial structure inFujianProvincehad obvious linear relationship. This model fit the data very well with high accuracy and can be used to predict water consumption structure. Agricultural water was highly correlated with primary industry, and so was the industrial water with secondary industry. Agricultural water showed significantly negative correlation with secondary industry and tertiary industry. The variation of domestic water had an insignificant correlation with industrial structure. The capacity to explain water consumption structure of the industrial structure factors was in the order of primary industry > secondary industry > tertiary industry.

文章引用: 苏龙强, 陈兴伟, 徐宗学, 张曼. 福建省用水结构与产业结构回归分析[J]. 水资源研究, 2012, 1(3): 154-160. http://dx.doi.org/10.12677/JWRR.2012.13022

参考文献

[1] 潘雄锋, 刘凤朝, 郭蓉蓉. 我国用水结构的分析与预测[J]. 干旱区资源与环境, 2008, 22(10): 11-14. PAN Xiongfeng, LIU Fengchao and GUO Rongrong. Analysis and forecast of water utilization structure in China. Journal of Arid Land Resources and Environment, 2008, 22(10): 11-14. (in Chinese)
[2] 刘宝勤, 姚治君, 高迎春. 北京市用水结构变化趋势及驱动力分析[J]. 资源科学, 2003, 25(2): 38-43. LIU Baoqin, YAO Zhijun and GAO Yingchun. Trend and driv- ing forces of water consumed structure changes in Beijing. Re- sources Science, 2003, 25(2): 38-43. (in Chinese)
[3] 王红瑞, 王岩, 吴峙山, 等. 北京市用水结构现状分析与对策研究[J]. 环境科学, 1994, 16(2): 31-34. WANG Hongrui, WANG Yan, WU Zhishan, et al. Analysis of the current structure of beijing municipal water use and a study on the response strategy for water conservation. Chinese Journal of Environment Science, 1994, 16(2): 31-34. (in Chinese)
[4] 高训宇, 郑建华, 卢静, 等. 北京市水资源结构变化及其驱动力分析[J]. 北京水务, 2008, 5: 10-13. GAO Xunyu, ZHENG Jianhua, LU Jing, et al. Trend and driving forces of water resource structure changes in Beijing. Beijing Water, 2008, 5: 10-13. (in Chinese)
[5] 粟晓玲, 赵晨, 马黎华. 关中地区近20年用水结构演变及其驱动力研究[J]. 灌溉排水学报, 2008, 27(5): 71-73. SU Xiaoling, ZHAO Chen and MA Lihua. Water consumed structure evolvement and its driving forces for Guanzhong re- gion in the past 20 years. Journal of Irrigation and Drainage, 2008, 27(5): 71-73. (in Chinese)
[6] 王雁林, 王文科, 段磊, 等. 黄河流域陕西段的用水结构分析及趋势探讨[J]. 水利发展研究, 2004, 8: 18-21. WANG Yanlin, WANG Wenke, DUAN Lei, et al. Water con- sumed structure and its trend in shanxi section of Yellow River Basin. Water Resources Development Research, 2004, 8: 18-21. (in Chinese)
[7] 马黎华, 康绍忠, 粟晓玲. 西北干旱内陆区石羊河流域用水结构演变及其驱动力分析[J]. 干旱地区农业研究, 2008, 26(1): 125-130. MA Lihua, KANG Shaozhong and SU Xiaoling. Study on evo- lution and its driving forces of water utilization structure of Shi- yang River Basin in northwest arid areas. Agricultural Research in the Arid Areas, 2008, 26(1): 125-130. (in Chinese)
[8] 龚宇, 王聪玲, 王璞. 区域农业用水驱动因子及驱动贡献评估分析——以河北沧州为例[J]. 节水灌溉, 2008, 8: 1-4. GONG Yu, WANG Congling and WANG Pu. Regional agricul- tural water driver factors and contribution ratio analysis for cangzhou district of Hebei Province. Water Saving Irrigation, 2008, 8: 1-4. (in Chinese)
[9] 张雅君, 刘全胜. 北京工业需水量的多元回归分析及预测[J]. 给水排水, 2002, 28(11): 53-55. ZHANG Yajun, LIU Quansheng, et al. Water demand analysis and forecasting in Beijing by multivariate linear regression. Water & Wastewater Engineering, 2002, 28(11): 53-55. (in Chinese)
[10] 曹连海, 陈南祥, 徐建新. 城市生活用水量预测的PLS-ANN模型[J]. 华中科技大学学报(城市科学版), 2006, 23(3): 20-22. CAO Lianhai, CHEN Nanxiang and XU Jianxin. Model of neu- ral network coupling with partial least-squares method for urban life-water quantity prediction. Journal of Huazhong University of Science and Technology (Urban Science Edition), 2006, 23(3): 20-22. (in Chinese)
[11] 云逸, 邹志红, 王惠文. 北京市用水结构与产业结构的成分数据回归分析[J]. 系统工程, 2008, 26(4): 67-71. YUN Yi, ZOU Zhihong and WANG Huiwen. A regression model based on the compositional data of Beijing’s water con- sumed structure and industrial structure. Systems Engineering, 2008, 26(4): 67-71. (in Chinese)
[12] 王惠文, 黄薇. 成分数据的线性回归模型[J]. 系统工程, 2003, 21(2): 102-106. WANG Huiwen, HUANG Wei. A simple linear regression model based on the compositional data. Systems Engineering, 2003, 21(2): 102-106. (in Chinese)
[13] 苏龙强. 福建省近10年用水结构变化及驱动力分析[J]. 水资源与水工程学报, 2010, 21(1): 101-104. SU Longqiang. Analysis of water consumed structure change and its driving forces last 10 years in Fujian Province. Journal of Water Resources and Water Engineering, 2010, 21(1): 101-104. (in Chinese)
[14] 吴普特, 冯浩, 牛文全, 等. 中国用水结构发展态势与节水对策分析[J]. 农业工程学报, 2003, 19(1): 1-6. WU Pute, FENG Hao, NIU Wenquan, et al. Analysis of devel- opmental tendency of water distribution and water-saving strate- gies. Transactions of the Chinese Society of Agricultural Engi- neering, 2003, 19(1): 1-6. (in Chinese)
[15] 王惠文, 张志慧, TENENHAUS M. 成分数据的多元回归建模方法研究[J]. 管理科学学报, 2006, 9(4): 27-32. WANG Huiwen, ZHANG Zhihui and TENENHAUS M. Multi- ple linear regression modeling method based on the composi- tional data. Journal of Management Sciences in China, 2006, 9(4): 27-32. (in Chinese)
[16] 张尧庭. 成分数据统计分析引论[M]. 北京: 科学出版社, 2000. ZHANG Yaoting. Analysis on component data. Beijing: Science Press, 2000. (in Chinese)
[17] 禹茜, 王建湘, 周杰良, 等. 泡桐生长与土壤因子偏最小二乘回归分析[J]. 安徽农业科学, 2008, 36(7): 2605-2606. YU Qian, WANG Jianxiang, ZHOU Jieliang, et al. The analysis of partial least squares regression model on paulownia growth and soil factors. Journal of Anhui Agricultural Sciences, 2008, 36(7): 2605-2606. (in Chinese)
[18] FERRERS, N. M. An elementary treatise on trilinear coordinates. London: Macmillan, 1866: 54-63.