Urban Floods and Suitability Analysis of Rainwater Harvesting Potential Areas in Lahore City, Pakistan

Sahar Zia, Safdar Ali Shirazi, Muhammad Nasar-u-Minallah, Madiha Batool
{"title":"Urban Floods and Suitability Analysis of Rainwater Harvesting Potential Areas in Lahore City, Pakistan","authors":"Sahar Zia, Safdar Ali Shirazi, Muhammad Nasar-u-Minallah, Madiha Batool","doi":"10.46660/ijeeg.v12i2.97","DOIUrl":null,"url":null,"abstract":"There is a growing threat of urban flooding, particularly in Pakistan that needs attention and requires effective management strategies. The chief trigger for urban flooding is the rapid and unplanned urbanization in areas where impermeable surface inhibits rainwater diffusion and changes the natural water flow. In many developed countries, a technique of rainwater harvesting is implemented as a sustainable strategy to manage urban stormwater. Most studies and projects chiefly focused on the potential use of the Rainwater harvesting technique for water conservation in arid and semi-arid climates. In the present work, GIS and remote sensing methodologies are utilized for the suitability of rainwater harvesting structures. This study was conducted in Lahore, the second most populated city of Pakistan and the capital of Punjab. Generally, the water harvesting technique depends on topographical areas with water accumulation, where there is an availability of open spaces in the form of green areas and barren lands, rainfall, drainage network density, and rainfall distribution, particularly in the urban environment. The SRTM DEM data were used for finding high water accumulated areas, and the Landsat OLI image is used to retrieve land use information i.e. vacant land and open green spaces, existing drainage network density, and rainfall distribution. All these layers were integrated through AHP to detect the potentially suitable sites for the construction of rainwater harvesting structures. Results concluded 94 suitable sites with categorization from highly to critically suitable for the construction of rainwater harvesting structures in which 6 were highly suitable areas in Data Gunj Bakhsh Town and Ravi Town. Besides, residential areas are having a maximum site suitability percentage, followed by roads, agricultural and open spaces in the area under consideration. Considering the suitable sites, further rainwater harvesting methods can be identified in the study area to alleviate urban flooding and improve the urban environment.","PeriodicalId":476283,"journal":{"name":"International journal of economic and environment geology","volume":"162 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of economic and environment geology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46660/ijeeg.v12i2.97","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

There is a growing threat of urban flooding, particularly in Pakistan that needs attention and requires effective management strategies. The chief trigger for urban flooding is the rapid and unplanned urbanization in areas where impermeable surface inhibits rainwater diffusion and changes the natural water flow. In many developed countries, a technique of rainwater harvesting is implemented as a sustainable strategy to manage urban stormwater. Most studies and projects chiefly focused on the potential use of the Rainwater harvesting technique for water conservation in arid and semi-arid climates. In the present work, GIS and remote sensing methodologies are utilized for the suitability of rainwater harvesting structures. This study was conducted in Lahore, the second most populated city of Pakistan and the capital of Punjab. Generally, the water harvesting technique depends on topographical areas with water accumulation, where there is an availability of open spaces in the form of green areas and barren lands, rainfall, drainage network density, and rainfall distribution, particularly in the urban environment. The SRTM DEM data were used for finding high water accumulated areas, and the Landsat OLI image is used to retrieve land use information i.e. vacant land and open green spaces, existing drainage network density, and rainfall distribution. All these layers were integrated through AHP to detect the potentially suitable sites for the construction of rainwater harvesting structures. Results concluded 94 suitable sites with categorization from highly to critically suitable for the construction of rainwater harvesting structures in which 6 were highly suitable areas in Data Gunj Bakhsh Town and Ravi Town. Besides, residential areas are having a maximum site suitability percentage, followed by roads, agricultural and open spaces in the area under consideration. Considering the suitable sites, further rainwater harvesting methods can be identified in the study area to alleviate urban flooding and improve the urban environment.
巴基斯坦拉合尔市城市洪水及雨水收集潜力区适宜性分析
城市洪水的威胁日益严重,特别是在巴基斯坦,这需要引起注意并需要有效的管理战略。城市洪水的主要触发因素是在不透水的地表抑制雨水扩散并改变自然水流的地区快速和无计划的城市化。在许多发达国家,雨水收集技术被作为管理城市雨水的可持续战略加以实施。大多数研究和项目主要集中于雨水收集技术在干旱和半干旱气候条件下的节水潜力。在本工作中,利用地理信息系统和遥感方法来确定雨水收集结构的适宜性。这项研究是在拉合尔进行的,拉合尔是巴基斯坦人口第二多的城市,也是旁遮普省的首府。一般来说,集水技术取决于有积水的地形区域,那里有可用的绿地和荒地形式的开放空间、降雨量、排水网络密度和降雨分布,特别是在城市环境中。SRTM DEM数据用于寻找高积水区域,Landsat OLI图像用于检索土地利用信息,即空地和开放绿地、现有排水网络密度和降雨分布。所有这些层都通过层次分析法进行整合,以发现潜在的适合建造雨水收集结构的地点。结果确定了94个高度到极适宜建设集雨设施的适宜地点,其中在Data Gunj Bakhsh镇和Ravi镇有6个高度适宜建设集雨设施的地点。此外,住宅用地的用地适宜率最高,其次是道路、农业用地和休憩用地。考虑到合适的选址,可以在研究区域内确定进一步的雨水收集方法,以缓解城市洪水,改善城市环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信