牛津大学工程与管理学院屋顶雨水收集系统的潜力与实践研究

Manila Kc, M. Bhandari, Sambriddhi Timilsena, Sangina Lamichhane, Basanta Prasad Adhikari, Ashish Poudel, Sarad Chandra Kafle
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引用次数: 0

摘要

本研究的目的是评估促进屋顶雨水收集的可能性,以解决牛津工程与管理学院纳瓦尔帕拉斯地区未来水资源短缺的问题。AutoCAD软件绘制验收图纸和地图;由于缺少部分零件,所以使用卷尺进行人工测量。结果表明:线性预测为1558.139、1581.57mm、1548.63mm、1598.14mm和1570.64mm。水的体积分别为5135.54、5028.16、5188.94、5099.68。计算结果显示,需水量为582万升/年,采收水量为5188946.58升/年。最后,在这个比例下,我们意识到我们可以通过集水来满足89.15%的用水需求。时间序列相关结果表明,A.R.I.M.A.模型预测降雨量的基础为(0.1.0),即R平方值为0.631,p值不显著(p > 250),较适合该预测模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on Potential and Practices of Rooftop Rainwater Harvesting System in Oxford College of Engineering and Management
The objective of this study was to evaluate the possibility of promoting rooftop rainwater harvesting to address future water scarcity in the Oxford College of Engineering and Management Nawalparasi district. AutoCAD software drew accepted plans and maps; manual measurement was done with measuring tape since some parts were missing. The results show that the linear forecast 1558.139, 1581.57mm,1548.63mm, 1598.14mm and 1570.64mm. The volume of water is 5135.54, 5028.16, 5188.94, 5099.68 respectively. It also shows the calculation of water demand which is 5,820,000 liters per year, and the water harvested is 5188946.58 liters per year. Finally, with this ratio, we realized we could fulfil 89.15% of water demand through water harvesting. The time series relevant results indicated that the A.R.I.M.A. model of forecasting rainfall was based on (0.1.0), signifying the R Square value is .631 and the p-value is insignificant (p > 250), which is better for this forecasting model.  
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