Spatio-Temporal Analysis of Areas Vulnerable to Urban Flooding: A Case Study of Lahore, Pakistan

Abstract

Identification of existing hotspots is one of the principal steps for evolving strategy to mitigate urbanflooding, an emerging problem in mega cities of developing countries. Therefore, this paper aims to provide aframework of assessing the spatio-temporal hotspots of urban flooding incidents in Lahore district, Punjab, Pakistan.For this purpose, a database was created by gathering information of sore points by a governmental body, Water andSanitation Agency (WASA) to execute spatio-temporal analysis of urban flooding through hotspot analysis in spatialanalyst tool box in Arc GIS. Results show that urban flooding occurs in each town of Lahore excluding Wahga town.Among all affected towns of Lahore, Data Gunj Bakhsh town is noted as a highly affected area accounting 27 percentof urban flooding incidents during monsoon period from 2012-2017. Temporal study also shows an overall increasingtrend for incidents of urban flooding during 2012-2017. Moreover, detailed study shows that month of August isnoteworthy for urban flooding which is consistently increasing.

The Effect Of Urban Green Spaces In Reducing Urban Flooding In Lahore, Pakistan, Using Geospatial Techniques

“…Keeping in view the objectives of this study, the Tracking Analyst tool (Data Clock Manager) in ArcGIS was used to monitor and associate spatiotemporal variable data from several sources which use path evidence to access the positions of time-enabled and spatially variable scatter data via an amalgamation of trajectory alteration and spatial interpolation (Gad et al 2018). Hotspot statistical analysis in ArcGIS was used as recognition of present hotspots is considered as one of the primary steps for developing policy to alleviate urban flooding which uses Getis-Ord Gi statistic to discover spatial variations (Zia and Shirazi 2019;Zia et al 2021).…”