Development of A Web based GIS Solution for Flood Inundation Mapping and Assessment in Lahore, Pakistan

Mahreen  Akhtar; Saira Akram; Sumaira Hafeez; Basit Nazeer; Sajid Rasheed Ahmad

Authors

Mahreen Akhtar College of earth and environmental sciences, University of the Punjab, Lahore, Pakistan.
Saira Akram Center for remote sensing and GIS, University of the Punjab Lahore, Pakistan.
Sumaira Hafeez College of earth and environmental sciences, University of the Punjab, Lahore, Pakistan.
Basit Nazeer College of earth and environmental sciences, University of the Punjab, Lahore, Pakistan.
Sajid Rasheed Ahmad College of earth and environmental sciences, University of the Punjab, Lahore, Pakistan.

Keywords:

Geo Server WMS Animator, PostgreSQL, Geo Server, JavaScript, HEC-RAS, Flood inundation, Web GIS, Remote sensing

Abstract

Introduction

Geographic information system (GIS) is a strong tool in flood hazard mapping, mitigation, and management. GIS-based approaches provide the wayforward to measure the flood inundation. Integration of web technologies with GIS (Web-GIS) is quite significant to accomplish the aim.

Methodology

In this research, HEC-RAS 1D was used to map the flooded areas around River Ravi at Lahore. The output of HEC-RAS with Web-GIS stack were used to build the interactive flood measuring tool. The Web-GIS stack used for this study was based on Geo Server, PHP, HTML, CSS, and JavaScript. Geo Server provides the OGC implemented standards with vendor specific capabilities like WMS Animator to animate the flood inundation on the User-Interface (UI) and extent animation to make visual interpretations. CQL filter is vendor specific capability in Geo Server used to measure the flood inundation.

Results

The outcomes of HEC-RAS are handy enough to measure, map and present the damages not only to analyst but also to the layman. The working and animated layers are shown in result section of this research.

Conclusion

This web-based flood inundation is robust, user-friendly, and expandable for more features, scenarios, and conditions. This research concludes that visual and web-based data is handy to understand for common person/intellectuals.

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