地理科学进展 ›› 2013, Vol. 32 ›› Issue (7): 1072-1081.doi: 10.11820/dlkxjz.2013.07.010
张艳1,2,3
收稿日期:
2013-03-01
修回日期:
2013-06-01
出版日期:
2013-07-25
发布日期:
2013-07-25
作者简介:
张艳(1972-),女,河南南阳人,博士,副教授,主要从事区域可持续发展研究。E-mail:yanzhang72@163.com。
基金资助:
ZHANG Yan1,2,3
Received:
2013-03-01
Revised:
2013-06-01
Online:
2013-07-25
Published:
2013-07-25
摘要: 随着城市化进程的加快和家庭采暖用能消费量的不断提高, 家庭采暖用能碳排放对环境造成的胁迫效应日益凸显。尽管家庭采暖碳排放问题引起众多学者的关注, 但深入探讨微观家庭采暖用能碳排放机理研究仍然缺乏。根据生活方式对家庭采暖碳排放影响的理论分析, 构建城市家庭采暖碳排放影响因素研究模型, 以暖温带典型城市——开封市为例, 基于792 户家庭样本的调查数据, 探究生活方式与家庭人均采暖CO2排放之间的关系。借助数据统计和多元回归分析发现:① 家庭采暖生活方式各因子与人均采暖CO2排放量之间的关系密切, 随着各因子的变化, 家庭人均采暖CO2排放量呈现出规律性变化;② 生活方式各因子均为影响家庭人均采暖CO2排放的显著因子, 其中, 住房面积、采暖形式、采暖期长度、人口规模等因素对家庭人均采暖CO2排放的影响程度较大。建议采用低碳采暖形式, 以降低家庭采暖碳排放量。
张艳. 生活方式对开封城市家庭采暖碳排放的影响[J]. 地理科学进展, 2013, 32(7): 1072-1081.
ZHANG Yan. Lifestyle's impact on carbon emissions from urban housholds' space heating: A case study of Kaifeng City[J]. PROGRESS IN GEOGRAPHY, 2013, 32(7): 1072-1081.
[1] Abrahamse W, Steg L. 2009. How do socio-demographic and psychological factors relate to households' direct and indirect energy use and savings. Journal of Economic Psychology, 30(5): 711-720.[2] Aydinalp M, Ugursal V I, Fung A. 2002. Modeling of the appliance, lighting, and space cooling energy consumptions in the residential sector using neural networks. Applied Energy, 72(2): 87-110.[3] Braun F G. 2010. Determines of households' space heating type: A discrete choice analysis for German households. Energy Policy, 38(10): 5493-5503.[4] Cai B F, Liu C L, Chen C C. 2009. City's greenhouse gas emission inventory research. Beijing, China: Chemical Industry Press. [蔡博峰, 刘春兰, 陈操操, 等. 2009. 城市温室 其体清单研究. 北京: 化学工业出版社.][5] Chen L, Fang X Q, Li S, et al. 2011. Comparisons of energy consumption between cold regions in China and the Europe and America. Journal of Natural Resources, 26(7): 1258-1268. [陈莉, 方修琦, 李帅, 等. 2011. 中国与欧美 寒冷地带采暖耗能的比较. 自然资源学报, 26(7): 1258-1268.][6] Chen L, Li S, Fang X Q, et al. 2009. Influence factor analysis of urban residential heating energy consumption in severe cold and cold regions in China: A case of Jilin Province. Scientia Geographica Sinica, 29(2): 212-216. [陈莉, 李帅, 方修琦, 等. 2009. 中国严寒和寒冷地区城镇住宅 采暖耗能影响因素分析: 以吉林省为例. 地理科学, 29 (2): 212-216.][7] Jiang H H. Study on the winter heating mode in the Yangtze river and Huai River area. China Science and Technology Information, (22): 62. [江惠红. 2004. 江淮一带冬季取暖 方式的探讨. 中国科技信息, (22): 62.][8] Jiang Y. 2000. Research on building heating mode in large and medium-sized city in north China. The National Academic Conference on Heating, Ventilation, Air-conditioning & Refrigeration, 2000. Nanning, China: 31 October-2 November. [江亿. 2000. 华北地区大中型城市建筑采暖方 式分析. 全国暖通空调制冷2000 年学术年会. 南宁: 10 月31日-11 月2 日.][9] Knoben J. 2011. The geographic distance of relocation search: an extended resource-based perspective. Economic Geography, 87(4): 371-392.[10] Liu J, Huo Z Y, Yin H C. 2008. The face problems and developments of urban center heating system. Energy Conservation and Environmental Protection, (4): 33-35. [刘剑, 霍兆义, 尹洪超. 2008. 城市集中供热的发展及面临的 问题. 节能与环保, (4): 33-35.][11] Ouyang J L, Hokao K. 2009. Energy-saving potential by im-proving occupants' behavior in urban residential sector in Hangzhou City, China. Energy and Buildings, 41(7): 711-720.[12] Park H C, Heo E. 2007. The direct and indirect household energy requirements in the Republic of Korea from 1980 to 2000: An input-output analysis. Energy Policy, 35(5): 283-285.[13] Qin Y C, Zhang L J, Lu F X, et al. 2010. Progresses of low-carbon city research. Progress in Geography, 29(12): 1459-1469. [秦耀辰, 张丽君, 鲁丰先, 等. 2010. 国外低 碳城市研究进展. 地理科学进展, 29(12): 1459-1469.][14] Roy J, Pal S. 2009. Lifestyles and climate change: Link awaiting activation. Current Opinion in Environmental Sustainability, 1(2): 192-200.[15] Santin O G. 2011. Behavioral patterns and user profiles related to energy consumption for heating. Energy and Buildings, 43(10): 2662-2672.[16] Wang Y L. 1997. The prospect of human lifestyle. Beijing, China: China Social Science Press. [王雅林. 1997. 人类 生活方式的前景. 北京: 中国社会科学出版社.][17] Wen Y, Zhang Y F. 2006. Analysis and evaluation Beijing urban residents heating energy. Price: Theory and Practice, (11): 20-21. [温瑶, 张有峰. 2006. 北京城镇居民采暖能 源分析与评价. 价格理论与实践, (11): 20-21.][18] Yang X M, Ge Y S, Zeng H Y. 2010. The household carbon emission analysis under individual consumer behavior. China Population, Resources and Environment, 20(5): 35-40. [杨选梅, 葛幼松,曾红鹰. 2010. 基于个体消费行 为的家庭碳排放研究. 中国人口·资源与环境, 20(5): 35-40.][19] Ye H, Pan L Y, Chen F, et al. Direct carbon emission from urban residential energy consumption: A case study of Xiamen, China. Ecologica Sinica, 30(14): 3802-3811. [叶红, 潘玲阳, 陈峰. 2010. 城市家庭能耗直接碳排放影响因 素: 以厦门岛区为例.生态学报, 30(14): 3802-3811.][20] Yu X P, Fu X Z, Huang G D, et al. 2007. Analysis on impacts of dividing air-conditioning/heating periods on limited value of energy consumption for residential building in hot summer and cold winter area. Building Science, 23 (8): 27-31. [余晓平, 付祥钊, 黄光德, 等. 2007. 夏热冬冷 地区采暖期/空调期划分对居住建筑能耗限值的影响分 析. 建筑科学, 23(8): 27-31.][21] Zeng J J, Zhang Z Q, Qu J S, et al. 2012. Analysis and evaluation of methods for household carbon emissions calculation. Progress in Geography, 31(10): 1341-1352. [曾静 静, 张志强, 曲建升, 等. 2012. 家庭碳排放计算方法分 析评价. 地理科学进展, 31(10): 1341-1352.][22] Zhang H D. 2007. Influence of climate change on warming/ cooling energy consumption and optimization[D]. Nanjing, China: Nanjing University of Information Science and Technology. [张海东. 2007. 气候变化对我国取暖和 降温耗能的影响及优化研究[D]. 南京: 南京信息工程 大学.][23] Zhang Y, Qin Y C. 2012a. Research on the difference in carbon emissions due to direct household energy consumption in the same urban residential community. Ecological Economy, (4): 42-46. [张艳, 秦耀辰. 2012a. 城市居住区 内家庭直接能耗碳排放差异研究. 生态经济, (4): 42-46.][24] Zhang Y, Qin Y C, Yan WY, et al. 2012b. Urban types and impact factors on carbon emissions from direct energy consumption of residents in China. Geographical Research, 31(2): 345-356. [张艳, 秦耀辰, 闫卫阳, 等. 2012b. 我国 城市居民直接能耗CO2排放的类型及影响因素. 地理研 究, 31(2): 345-356.][25] Zhang W, Zhou Y Y. 2013. An empirical analysis of the increment of CO2 emission from energy consumption in Beijing: Based on LMDI technique of IDA method. Progress in Geography, 32(4): 514-521. [张旺, 周跃云. 2013. 北京 能源消费排放CO2 增量的分解研究: 基于IDA 法的 LMDI技术分析. 地理科学进展, 32(4): 514-521.][26] Zheng S Q, Huo Y, Cao J. 2011. Study on intercity differences and flexible evaluate on carbon emission in urban inhabited in China. Inquiry into Economic Issues, (9): 124-130. [郑思齐, 霍燚, 曹静. 2011. 中国城市居住碳排放的弹性 估计与城市间差异性研究. 经济问题探索, (9): 124-130.][27] Zundel S, Stieß I. 2011. Beyond profitability of energy-saving measures: Attitudes towards energy saving. Journal of Consumer Policy, 34(1): 91-105. |
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