Many kinds of factors that influence rural housing construction in Northern China are analyzed systematically and the connections between them are weighed from ecology and sustainable angles, so that an optimized gree...Many kinds of factors that influence rural housing construction in Northern China are analyzed systematically and the connections between them are weighed from ecology and sustainable angles, so that an optimized green house can be built. At the same time, the energy efficient envelope structure and the method of choosing insulation material in the cost of unit thermal resistance are proposed. Integrated quality evaluation by computer shows that thermal comfort in the house would be improved remarkably for the value of PPD drops from 35%-40% to 15%, the rate of saving energy is 51.73%, much higher than the third goal of saving energy in China, and the comprehensive ecological benefit achieves good effect so as to promote the sustainable development of rural housing and community in cold areas of Northern China.展开更多
The damage of dwelling houses constitutes the primary cause of casualties and asset loss in seismic disasters that occurred in Chinese rural areas. The structure of houses is crucial for assessing the vulnerability of...The damage of dwelling houses constitutes the primary cause of casualties and asset loss in seismic disasters that occurred in Chinese rural areas. The structure of houses is crucial for assessing the vulnerability of rural houses. However, at present, available data on rural housing structure are incomplete and their spatial scales are inconsistent. This paper estimated the amount and ratio of rural houses in five structures, namely ＇wood＇, ＇brick＇, ＇mixed＇, ＇reinforced concrete＇, and ＇other＇, for 2380 counties across China. With the percent- age sampling census data in 2005, four accuracy levels were specified. Then, a set of down-scaling models were established, where the impact of climate, economic development level and ethnic minority cultural factors on rural housing structure, as well as the spatial autocorrelation of neighboring spatial units were considered. Based on the estimation results, a database of county-level rural housing structure was established, based on which the vul- nerability of rural houses in different areas was clarified.展开更多
文摘Many kinds of factors that influence rural housing construction in Northern China are analyzed systematically and the connections between them are weighed from ecology and sustainable angles, so that an optimized green house can be built. At the same time, the energy efficient envelope structure and the method of choosing insulation material in the cost of unit thermal resistance are proposed. Integrated quality evaluation by computer shows that thermal comfort in the house would be improved remarkably for the value of PPD drops from 35%-40% to 15%, the rate of saving energy is 51.73%, much higher than the third goal of saving energy in China, and the comprehensive ecological benefit achieves good effect so as to promote the sustainable development of rural housing and community in cold areas of Northern China.
基金NITech Grant-in-Aid for Encouragement of Excellent Women Researchers(2023)“気候風土に適応する柔軟な建築内外境域の設計手法に関する研究”(适应气候风土的灵活的建筑内外边界设计手法研究)教育部产学合作协同育人项目“人居环境设计专创融合数字化创新平台建设”(编号:220504555304424)。
基金National Key Technology R＆D Program, No.2011BAK07B02, No.2008BAK50-05 National Natural Science Foundation of China, No,4117113 B
文摘The damage of dwelling houses constitutes the primary cause of casualties and asset loss in seismic disasters that occurred in Chinese rural areas. The structure of houses is crucial for assessing the vulnerability of rural houses. However, at present, available data on rural housing structure are incomplete and their spatial scales are inconsistent. This paper estimated the amount and ratio of rural houses in five structures, namely ＇wood＇, ＇brick＇, ＇mixed＇, ＇reinforced concrete＇, and ＇other＇, for 2380 counties across China. With the percent- age sampling census data in 2005, four accuracy levels were specified. Then, a set of down-scaling models were established, where the impact of climate, economic development level and ethnic minority cultural factors on rural housing structure, as well as the spatial autocorrelation of neighboring spatial units were considered. Based on the estimation results, a database of county-level rural housing structure was established, based on which the vul- nerability of rural houses in different areas was clarified.
