Assessing Rainwater Harvesting Potential in Urban Areas: A Building Information Modelling (BIM) Approach
Article
Article Title | Assessing Rainwater Harvesting Potential in Urban Areas: A Building Information Modelling (BIM) Approach |
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ERA Journal ID | 41498 |
Article Category | Article |
Authors | Maqsoom, Ahsen (Author), Aslam, Bilal (Author), Ismail, Sharjeel (Author), Thaheem, Muhammad Jamaluddin (Author), Ullah, Fahim (Author), Zahoor, Hafiz (Author), Musarat, Muhammad Ali (Author) and Vatin, Nikolai Ivanovich (Author) |
Journal Title | Sustainability |
Journal Citation | 13 (22), pp. 1-21 |
Article Number | 12583 |
Number of Pages | 21 |
Year | 2021 |
Publisher | MDPI AG |
Place of Publication | Switzerland |
ISSN | 2071-1050 |
Digital Object Identifier (DOI) | https://doi.org/10.3390/su132212583 |
Web Address (URL) | https://www.mdpi.com/2071-1050/13/22/12583 |
Abstract | Water scarcity has become a major problem for many countries, resulting in declining water supply and creating a need to find alternative solutions. One potential solution is rainwater harvesting (RwH), which allows rainwater to be stored for human needs. This study develops an RwH assessment system through building information modeling (BIM). For this purpose, a hydrological study of Cfa-type climate cities is conducted with the example of Islamabad, Pakistan. The monthly rainfall data of three sites were assessed to determine the volume of the accumulated rainwater and its potential to meet human needs. The average number of people living in a house is taken as the household number. Household number or of the number of employees working at a small enterprise, roofing material, and rooftop area are used as the key parameters for pertinent assessment in the BIM. The data simulated by BIM highlight the RwH potential using five people per house as the occupancy and a 90 m2rooftop area for residential buildings or small enterprises as parameters. The results show that the selected sites can collect as much as 8,190 L/yr of rainwater(48 L/person/day) to 103,300 L/yr of rainwater (56 L/person/day). This much water is enough to fulfill the daily demands of up to five people. Therefore, it is established that the study area has an RwH potential that is able to meet the expected demands. This study presents a baseline approach for RwH to address water scarcity issues for residential buildings and factories of the future. |
Keywords | rainwater harvesting (RwH); water demand; building information modeling (BIM);hydrological investigation; sustainable drainage systems (SuDs); residential buildings |
ANZSRC Field of Research 2020 | 330202. Building construction management and project planning |
400513. Water resources engineering | |
330204. Building information modelling and management | |
330413. Urban planning and health | |
330201. Automation and technology in building and construction | |
330206. Building science, technologies and systems | |
Byline Affiliations | COMSATS University Islamabad, Pakistan |
Riphah International University, Pakistan | |
Deakin University | |
School of Civil Engineering and Surveying | |
National University of Sciences and Technology, Pakistan | |
PETRONAS University of Technology, Malaysia | |
Peter the Great St. Petersburg Polytechnic University, Russia | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q6x10/assessing-rainwater-harvesting-potential-in-urban-areas-a-building-information-modelling-bim-approach
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