摘要
随着教育的普及和发展,高校的人数比例迅速增加,学生宿舍作为高校重要的生活用水单元,其用水规划在高校的水资源管理中不可忽视。以北京市3所高校学生宿舍为例,各高校人均用水量均低于相应规范的推荐值,在不同生源的宿舍楼和特殊年份中表现出差异性。选取a高校的用水数据进行线性回归分析,结果表明以用水人数、房间数和建筑面积作为自变量对总用水量进行多元线性回归的拟合方程相比仅以用水人数进行一元线性回归的拟合方程的R~2高,且R~2在0.98以上,具有较好的回归效果;线性回归前进行分类或聚类能取得更好的拟合效果,在多元线性回归中根据有无独立卫浴分类优于聚类;不同集合的回归方程的系数具有差异性。
With the popularization and development of education,proportion of universities has increased rapidly.Being important water unit of universities,water use planning (WUP) of student dormitory is important.Taking the dormitories of three universities in Beijing as examples,water consumption per capita is lower than the recommended value of the corresponding codes in each university and is different in the dormitories with different student sources or in special years.The linear regression analysis of water data in a university is carried out.The conclusions are that R~2of the fitting equation of the multiple linear regression with the number of water users,the number of rooms and the building area as independent variables for the total water consumption is higher than that of the linear regression equation only with the number of water users.The R~2are above 0.98 which has a good regression effect;Classification or clustering before linear regression can achieve better fitting results.Classification according to the presence or absence of independent toilets in multiple linear regression is better than clustering;The coefficients of the regression equations of different sets are different.
作者
黄天意
王昊
李文涛
唐颖
马乐
周晋军
Huang Tianyi;Wang Hao;Li Wentao;Tang Ying;Ma Le;Zhou Jinjun(Faculty of Architecture,Civil and Transportation Engineering,Beijing University of Technology,Beijing 100124,China;Guangzhou Municipal Engineering Design&Research Institute Co.,Ltd.,Guangzhou 51000,China;Urban Construction School,Beijing City University,Bejing 100083,China;Water Supply Management Affairs Center in Beijing,Beijing 101119,China)
出处
《市政技术》
2022年第10期150-157,共8页
Journal of Municipal Technology
基金
北京市自然科学基金青年项目(8214046)
北京市教育委员会科技计划一般项目(KM202210005017)
清华大学水沙科学与水利水电工程国家重点实验室,清华大学——宁夏银川水联网数字治水联合研究院专项统筹重点项目(SKL-IOW-2019TC1905)。
关键词
高校
学生宿舍
人均用水量
聚类分析
线性回归
university
student dormitories
water consumption per capita
clustering analysis
linear regression
