Applications of RS & GIS for Tsunami and Sea Surges Risk Assessment Along the Coast of Karachi

Yasmeen Anis; Ghuffran Saeed; Asad Aryan; Sheeba Afsar; Sadaf Asad

Authors

Yasmeen Anis Department of Geography, University of Karachi
Ghuffran Saeed Department of Geography, University of Karachi
Asad Aryan Department of Geography, University of Karachi
Sheeba Afsar Department of Geography, University of Karachi
Sadaf Asad Government Girls College, Alnoor

Keywords:

GIS, RS, Tsunami, Sea Surges, Karachi, Coastal Inundation

Abstract

Coastal Areas are prone to several hazards like storm surges inundation due to sea level rise or coastal flooding, Tsunamis, and so on. However, the condition is more disastrous, if the coast is highly built up and populated. Pakistan occupies a coastline of 1046 kms. The most developed part of it is the city of Karachi. The coast faces storms several times during the monsoon season and there is a sea level rise threat also in the coming years. The coast of Pakistan also lies near the plate boundaries of two major plates: The indo-Australian and Eurasian plates, and two minor plates the Arabian and Iranian Plates. In case of any major earthquakes in the Arabian Sea, a tsunami is a big hazard, which may engulf many important and heavily built-up commercial, residential, industrial, and sensitive areas of the armed forces. The aim of the study is to analyze the loss in case of inundation of the Karachi Coast, with Remote Sensing and GIS Techniques.

References

M. Khan, A. R., Saleem, M., Arif, “Coastal hazards and vulnerability assessment of Karachi coast, Pakistan,” Environ. Earth Sci., vol. 73, no. 3, pp. 1257–1273.

“Mangroves of Pakistan-Status and Management | PDF | Mangrove | Shoal.” Accessed: Jun. 10, 2024. [Online]. Available: https://www.scribd.com/document/97814702/Mangroves-of-Pakistan-Status-and-Management

M. Abid, M., Ashfaq, “Vulnerability of coastal communities to cyclones in Karachi, Pakistan,” Nat. Hazards, vol. 94, no. 3, pp. 1265–1281, 2018.

S. Ahmed, M., Khan, R. A., Ahmed, “Assessment of Vulnerable Areas and Population to Storm Surge in Karachi, Pakistan,” Nat. Hazards.

S. Zafar, M. I., Saeed, “Mapping of Coastal Vulnerability to Sea Level Rise and Storm Surge Flooding in Karachi,” Water, vol. 11, no. 10, 2019.

B. W. Eakins and P. R. Grothe, “Challenges in Building Coastal Digital Elevation Models,” https://doi.org/10.2112/JCOASTRES-D-13-00192.1, vol. 30, no. 5, pp. 942–953, Sep. 2014, doi: 10.2112/JCOASTRES-D-13-00192.1.

D. Hauser et al., “Satellite Remote Sensing of Surface Winds, Waves, and Currents: Where are we Now?,” Surv. Geophys. 2023 445, vol. 44, no. 5, pp. 1357–1446, Mar. 2023, doi: 10.1007/S10712-023-09771-2.

G. Prasad, P. G. Vinod, and S. E. John, “Delineation of ground water potential zones using GIS and remote sensing - A case study from midland region of Vamanapuram river basin, Kerala, India,” AIP Conf. Proc., vol. 1952, no. 1, Apr. 2018, doi: 10.1063/1.5031990/1008195.

P. K. Mishra, A. Rai, and S. C. Rai, “Land use and land cover change detection using geospatial techniques in the Sikkim Himalaya, India,” Egypt. J. Remote Sens. Sp. Sci., vol. 23, no. 2, pp. 133–143, Aug. 2020, doi: 10.1016/J.EJRS.2019.02.001.

D. M. Tralli, R. G. Blom, V. Zlotnicki, A. Donnellan, and D. L. Evans, “Satellite remote sensing of earthquake, volcano, flood, landslide and coastal inundation hazards,” ISPRS J. Photogramm. Remote Sens., vol. 59, no. 4, pp. 185–198, Jun. 2005, doi: 10.1016/J.ISPRSJPRS.2005.02.002.

K. T.S., “Temporal monitoring of forest land for change detection and forest cover mapping through satellite remote sensing,” Proc. 6th Asian Conf. Remote sensing. Natl. Remote Sens. Agency, Hyderabad, pp. 77–83, 1985.

E. S. Brondizio, E. F. Moran, P. Mausel, and Y. Wu, “Land use change in the Amazon estuary: Patterns of caboclo settlement and landscape management,” Hum. Ecol., vol. 22, no. 3, pp. 249–278, Sep. 1994, doi: 10.1007/BF02168853/METRICS.

“Jensen, J.R. (2005) Introductory Digital Image Processing A Remote Sensing Perspective. 3rd Edition, Prentice Hall, Upper Saddle River, 505-512. - References - Scientific Research Publishing.” Accessed: Jun. 10, 2024. [Online]. Available: https://www.scirp.org/reference/ReferencesPapers?ReferenceID=2001065

A. Ahmad and S. Quegan, “Analysis of Maximum Likelihood Classification on Multispectral Data,” Appl. Math. Sci., vol. 6, no. 129, pp. 6425–6436, 2012.

S. L. Ozesmi and M. E. Bauer, “Satellite remote sensing of wetlands,” Wetl. Ecol. Manag., vol. 10, no. 5, pp. 381–402, Oct. 2002, doi: 10.1023/A:1020908432489/METRICS.