Assessment of rainwater harvesting potential for urban area under climate and land use changes using geo-informatics technology
Globally climate and land use change have put stress on the natural water resources which are depleting rapidly. This study's goal is to explore the rainwater harvesting (RWH) potential for Lahore city. Average annual rainfall records were used along with future projections of precipitation by...
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my.uniten.dspace-340072024-10-14T11:17:38Z Assessment of rainwater harvesting potential for urban area under climate and land use changes using geo-informatics technology Haider S. Masood M.U. Rashid M. Ali T. Pande C.B. Alshehri F. Elkhrachy I. 58188293400 57062195300 57226273127 57937955800 57193547008 57224683617 55481426800 CA_MARKOV model Climate change Land use change Rainwater harvesting Statistical downscaling Globally climate and land use change have put stress on the natural water resources which are depleting rapidly. This study's goal is to explore the rainwater harvesting (RWH) potential for Lahore city. Average annual rainfall records were used along with future projections of precipitation by global climate model GCM (MPI-ESM1�2-HR) under two shared socioeconomic pathways (SSP2 and SSP5) to find the potential of rainwater harvesting. Land use land cover (LULC) maps of past (2010), present (2022) and future time periods (2035 and 2050) and built-up area for Lahore city was calculated in Arc Map using a geometry dialogue box that was estimated to be 1299.86 km2 of land in the year 2050. By the middle of the twenty-first century, rainfall in the Lahore district is predicted to increase by 12% and 16%, from 698.0 mm in the baseline time period (1990�2015) to 781.7 mm and 809.6 mm, respectively. This increased precipitation over the extent of built-up area could be harvested and utilized for different domestic, industrial, recreational and environment protection purposes. The study also concluded that RWH not only save the Lahore from urban flooding due to rain but also have potential to realize about 39.8% of water deficit of total water demand for Lahore. The daily supply capacity from Ravi River and WASA is 632 million gallon which is equal to only 54% of total water demand. The shortage of 487.2 million gallon per day could be succeed by using rainwater which have potential to realize about 19% of water shortage. In a similar manner, it is indicated based on outcomes of this study that method of RWH is very appropriate for major cities like Lahore in order to address present climate and land use change concerns, particularly in water-stressed nations like Pakistan. � 2023 Elsevier B.V. Final 2024-10-14T03:17:38Z 2024-10-14T03:17:38Z 2023 Article 10.1016/j.uclim.2023.101721 2-s2.0-85176245419 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176245419&doi=10.1016%2fj.uclim.2023.101721&partnerID=40&md5=c3eb55b70e97152693cd05a3c2a1a6a8 https://irepository.uniten.edu.my/handle/123456789/34007 52 101721 Elsevier B.V. Scopus |
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CA_MARKOV model Climate change Land use change Rainwater harvesting Statistical downscaling Haider S. Masood M.U. Rashid M. Ali T. Pande C.B. Alshehri F. Elkhrachy I. Assessment of rainwater harvesting potential for urban area under climate and land use changes using geo-informatics technology |
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Globally climate and land use change have put stress on the natural water resources which are depleting rapidly. This study's goal is to explore the rainwater harvesting (RWH) potential for Lahore city. Average annual rainfall records were used along with future projections of precipitation by global climate model GCM (MPI-ESM1�2-HR) under two shared socioeconomic pathways (SSP2 and SSP5) to find the potential of rainwater harvesting. Land use land cover (LULC) maps of past (2010), present (2022) and future time periods (2035 and 2050) and built-up area for Lahore city was calculated in Arc Map using a geometry dialogue box that was estimated to be 1299.86 km2 of land in the year 2050. By the middle of the twenty-first century, rainfall in the Lahore district is predicted to increase by 12% and 16%, from 698.0 mm in the baseline time period (1990�2015) to 781.7 mm and 809.6 mm, respectively. This increased precipitation over the extent of built-up area could be harvested and utilized for different domestic, industrial, recreational and environment protection purposes. The study also concluded that RWH not only save the Lahore from urban flooding due to rain but also have potential to realize about 39.8% of water deficit of total water demand for Lahore. The daily supply capacity from Ravi River and WASA is 632 million gallon which is equal to only 54% of total water demand. The shortage of 487.2 million gallon per day could be succeed by using rainwater which have potential to realize about 19% of water shortage. In a similar manner, it is indicated based on outcomes of this study that method of RWH is very appropriate for major cities like Lahore in order to address present climate and land use change concerns, particularly in water-stressed nations like Pakistan. � 2023 Elsevier B.V. |
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58188293400 |
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58188293400 Haider S. Masood M.U. Rashid M. Ali T. Pande C.B. Alshehri F. Elkhrachy I. |
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Article |
author |
Haider S. Masood M.U. Rashid M. Ali T. Pande C.B. Alshehri F. Elkhrachy I. |
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Haider S. |
title |
Assessment of rainwater harvesting potential for urban area under climate and land use changes using geo-informatics technology |
title_short |
Assessment of rainwater harvesting potential for urban area under climate and land use changes using geo-informatics technology |
title_full |
Assessment of rainwater harvesting potential for urban area under climate and land use changes using geo-informatics technology |
title_fullStr |
Assessment of rainwater harvesting potential for urban area under climate and land use changes using geo-informatics technology |
title_full_unstemmed |
Assessment of rainwater harvesting potential for urban area under climate and land use changes using geo-informatics technology |
title_sort |
assessment of rainwater harvesting potential for urban area under climate and land use changes using geo-informatics technology |
publisher |
Elsevier B.V. |
publishDate |
2024 |
_version_ |
1814061099819991040 |
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13.222552 |