Assessing Rainwater Harvesting Potential in Urban Areas: A Building Information Modelling (BIM) Approach

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...

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Autores principales:	Ahsen Maqsoom, Bilal Aslam, Sharjeel Ismail, Muhammad Jamaluddin Thaheem, Fahim Ullah, Hafiz Zahoor, Muhammad Ali Musarat, Nikolai Ivanovich Vatin
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	rainwater harvesting (RwH) water demand building information modeling (BIM) hydrological investigation sustainable drainage systems (SuDs) residential buildings Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/76b38526dc724289aa1fecd94e617490
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spelling	oai:doaj.org-article:76b38526dc724289aa1fecd94e6174902021-11-25T19:02:16ZAssessing Rainwater Harvesting Potential in Urban Areas: A Building Information Modelling (BIM) Approach10.3390/su1322125832071-1050https://doaj.org/article/76b38526dc724289aa1fecd94e6174902021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12583https://doaj.org/toc/2071-1050Water 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 m<sup>2</sup> rooftop 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.Ahsen MaqsoomBilal AslamSharjeel IsmailMuhammad Jamaluddin ThaheemFahim UllahHafiz ZahoorMuhammad Ali MusaratNikolai Ivanovich VatinMDPI AGarticlerainwater harvesting (RwH)water demandbuilding information modeling (BIM)hydrological investigationsustainable drainage systems (SuDs)residential buildingsEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12583, p 12583 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	rainwater harvesting (RwH) water demand building information modeling (BIM) hydrological investigation sustainable drainage systems (SuDs) residential buildings Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	rainwater harvesting (RwH) water demand building information modeling (BIM) hydrological investigation sustainable drainage systems (SuDs) residential buildings Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Ahsen Maqsoom Bilal Aslam Sharjeel Ismail Muhammad Jamaluddin Thaheem Fahim Ullah Hafiz Zahoor Muhammad Ali Musarat Nikolai Ivanovich Vatin Assessing Rainwater Harvesting Potential in Urban Areas: A Building Information Modelling (BIM) Approach
description	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 m<sup>2</sup> rooftop 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.
format	article
author	Ahsen Maqsoom Bilal Aslam Sharjeel Ismail Muhammad Jamaluddin Thaheem Fahim Ullah Hafiz Zahoor Muhammad Ali Musarat Nikolai Ivanovich Vatin
author_facet	Ahsen Maqsoom Bilal Aslam Sharjeel Ismail Muhammad Jamaluddin Thaheem Fahim Ullah Hafiz Zahoor Muhammad Ali Musarat Nikolai Ivanovich Vatin
author_sort	Ahsen Maqsoom
title	Assessing Rainwater Harvesting Potential in Urban Areas: A Building Information Modelling (BIM) Approach
title_short	Assessing Rainwater Harvesting Potential in Urban Areas: A Building Information Modelling (BIM) Approach
title_full	Assessing Rainwater Harvesting Potential in Urban Areas: A Building Information Modelling (BIM) Approach
title_fullStr	Assessing Rainwater Harvesting Potential in Urban Areas: A Building Information Modelling (BIM) Approach
title_full_unstemmed	Assessing Rainwater Harvesting Potential in Urban Areas: A Building Information Modelling (BIM) Approach
title_sort	assessing rainwater harvesting potential in urban areas: a building information modelling (bim) approach
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/76b38526dc724289aa1fecd94e617490
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Assessing Rainwater Harvesting Potential in Urban Areas: A Building Information Modelling (BIM) Approach

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