Research Article

Analysis of flood susceptibility and zonation for risk management using frequency ratio model in District Charsadda, Pakistan

Volume: 5 Number: 2 August 1, 2018
EN

Analysis of flood susceptibility and zonation for risk management using frequency ratio model in District Charsadda, Pakistan

Abstract

This study focuses on the analysis of flood susceptibility and resultant zonation for risk management using frequency ratio model in District Charsadda, Pakistan. To achieve the study objectives, a reconnaissance survey was conducted, and frequent flood inundated areas were identified in the study area by interpretation of Landsat 7 image together with the intensive field survey, a total of 161 flooded locations were demarcated at different part of the district with handheld GPS. As a result, an inventory of spatial database of past flood inundation was generated and role of all the influencing factors for detecting the extent of flood susceptibility. During flood susceptibility analysis, ten conditioning parameters including: elevation, slope, aspect, curvature, plan curvature, profile curvature, proximity to roads, proximity to streams, proximity to river and land use/land cover were selected. A correlation between conditioning factors and flood was calculated using frequency ratio method. Consequently, the summation of frequency ratio values was taken for all the parameters for development of flood susceptibility index. The flood susceptibility index was then classified into five zones of very low (27.64%), low (39.88%), moderately susceptible (22.25%), high susceptible (7.78%), very high (2.46%). For accuracy assessment, flood density approach has been applied to compare the zones of susceptibility with the past flooded areas. As a result, the predication accuracy was found 77.3%. The flood susceptibility zones could be used for flood risk management and land use planning for minimizing the potential risk in the floodplain of rivers flowing through the study area.

Keywords

References

  1. Adeoye, N., Ayanlade, A., and Babatimehin, O. (2009). Climate change and menace of floods in Nigerian cities: socio-economic implications. Advances in Natural and Applied Sciences, 3(3), 369-378.
  2. Ahmad, H., Bokhari, J., and Siddiqui, Q. (2011). Flashflood risk assessment in Pakistan. Paper presented at the 71st Annual Session Proceedings. Pakistan Engineering Congress, Pakistan.
  3. Akgün, A., and Bulut, F. (2007). GIS-based landslide susceptibility for Arsin-Yomra (Trabzon, North Turkey) region. Environmental Geology, 51(8), 1377- 1387. doi:10.1007/s00254-006-0435-6
  4. Algan O, Gazioğlu C, Çağatay N, Yücel ZY, Gönençgil B. (1999). Sediment and water influxes into the Black Sea by Anatolian rivers. Zeitschrift für Geomorphologie 43: 61–79.
  5. Atta-ur-Rahman, and Khan, A. N. (2013). Analysis of 2010-flood causes, nature and magnitude in the Khyber Pakhtunkhwa, Pakistan. Natural Hazards, 66(2), 887- 904. doi:10.1007/s11069-012-0528-3
  6. Ayalew, L., and Yamagishi, H. (2005). The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan. Geomorphology, 65(1–2), 15-31. doi:http://dx.doi.org/10.1016/j.geomorph. 2004.06.010
  7. Azaz, L. K. (2010). Using remote sensing and GIS for damage assessment after flooding, the case of Muscat, Oman after Gonu tropical cyclone 2007: Urban planning perspective: na.
  8. Balamurugan, G., Ramesh, V., and Touthang, M. (2016). Landslide susceptibility zonation mapping using frequency ratio and fuzzy gamma operator models in part of NH-39, Manipur, India. Natural Hazards, 84(1), 465-488. doi:10.1007/s11069-016-2434-6

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Muhammad Farhan Ul Moazzam
Naresuan University
Thailand

Anujit Vansarochana This is me
Naresuan University
Thailand

Atta Ur Rahman This is me
Pakistan

Publication Date

August 1, 2018

Submission Date

March 17, 2018

Acceptance Date

April 3, 2018

Published in Issue

Year 2018 Volume: 5 Number: 2

APA
Moazzam, M. F. U., Vansarochana, A., & Rahman, A. U. (2018). Analysis of flood susceptibility and zonation for risk management using frequency ratio model in District Charsadda, Pakistan. International Journal of Environment and Geoinformatics, 5(2), 140-153. https://doi.org/10.30897/ijegeo.407260
AMA
1.Moazzam MFU, Vansarochana A, Rahman AU. Analysis of flood susceptibility and zonation for risk management using frequency ratio model in District Charsadda, Pakistan. IJEGEO. 2018;5(2):140-153. doi:10.30897/ijegeo.407260
Chicago
Moazzam, Muhammad Farhan Ul, Anujit Vansarochana, and Atta Ur Rahman. 2018. “Analysis of Flood Susceptibility and Zonation for Risk Management Using Frequency Ratio Model in District Charsadda, Pakistan”. International Journal of Environment and Geoinformatics 5 (2): 140-53. https://doi.org/10.30897/ijegeo.407260.
EndNote
Moazzam MFU, Vansarochana A, Rahman AU (August 1, 2018) Analysis of flood susceptibility and zonation for risk management using frequency ratio model in District Charsadda, Pakistan. International Journal of Environment and Geoinformatics 5 2 140–153.
IEEE
[1]M. F. U. Moazzam, A. Vansarochana, and A. U. Rahman, “Analysis of flood susceptibility and zonation for risk management using frequency ratio model in District Charsadda, Pakistan”, IJEGEO, vol. 5, no. 2, pp. 140–153, Aug. 2018, doi: 10.30897/ijegeo.407260.
ISNAD
Moazzam, Muhammad Farhan Ul - Vansarochana, Anujit - Rahman, Atta Ur. “Analysis of Flood Susceptibility and Zonation for Risk Management Using Frequency Ratio Model in District Charsadda, Pakistan”. International Journal of Environment and Geoinformatics 5/2 (August 1, 2018): 140-153. https://doi.org/10.30897/ijegeo.407260.
JAMA
1.Moazzam MFU, Vansarochana A, Rahman AU. Analysis of flood susceptibility and zonation for risk management using frequency ratio model in District Charsadda, Pakistan. IJEGEO. 2018;5:140–153.
MLA
Moazzam, Muhammad Farhan Ul, et al. “Analysis of Flood Susceptibility and Zonation for Risk Management Using Frequency Ratio Model in District Charsadda, Pakistan”. International Journal of Environment and Geoinformatics, vol. 5, no. 2, Aug. 2018, pp. 140-53, doi:10.30897/ijegeo.407260.
Vancouver
1.Muhammad Farhan Ul Moazzam, Anujit Vansarochana, Atta Ur Rahman. Analysis of flood susceptibility and zonation for risk management using frequency ratio model in District Charsadda, Pakistan. IJEGEO. 2018 Aug. 1;5(2):140-53. doi:10.30897/ijegeo.407260

Cited By