Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2018, Cilt: 5 Sayı: 2, 140 - 153, 01.08.2018
https://doi.org/10.30897/ijegeo.407260

Öz

Kaynakça

  • 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.
  • 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.
  • 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
  • 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.
  • 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
  • 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
  • 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.
  • 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
  • Brivio, P. A., Colombo, R., Maggi, M., and Tomasoni, R. (2002). Integration of remote sensing data and GIS for accurate mapping of flooded areas. International Journal of Remote Sensing, 23(3), 429- 441. doi:10.1080/01431160010014729
  • Chung, C.-J. F., and Fabbri, A. G. (2003). Validation of Spatial Prediction Models for Landslide Hazard Mapping. Natural Hazards, 30(3), 451-472. doi:10.1023/B:NHAZ.0000007172.62651 .2b
  • Dilley, M. (2005). Natural disaster hotspots: a global risk analysis (Vol. 5): World Bank Publications.
  • District wise census report. (2017).Retrieved from http://www.pbscensus.gov.pk/sites/defaul t/files/DISTRICT_WISE_CENSUS_RES ULTS_CENSUS_2017.pdf
  • Duan, M., Zhang, J., Liu, Z., and Aekakkararungroj, A. (2009). Use of remote sensing and GIS for flood hazard mapping in Chiang Mai Province, northern Thailand. Paper presented at the International Conference on Geospatial Solutions for Emergency Management and the 50th Anniversary of the Chinese Academy of Surveying and Mapping, Beijing, China.
  • Farish, S., Munawar, S., Siddiqua, A., Alam, N., and Alam, M. (2017). Flood Risk Zonation Using GIS Techniques: District Charsadda, 2010 Floods Pakistan. Environmental Risk Assessment and Remediation, 1(2).
  • Forkuo, E. K. (2008). Digital terrain modeling in a GIS environment.
  • Greco, R., Sorriso-Valvo, M., and Catalano, E. (2007). Logistic Regression analysis in the evaluation of mass movements susceptibility: The Aspromonte case study, Calabria, Italy. Engineering Geology, 89(1), 47-66. doi:https://doi.org/10.1016/j.enggeo.2006. 09.006
  • Intarawichian, N., and Dasananda, S. (2011). Frequency ratio model based landslide susceptibility mapping in lower Mae Chaem watershed, Northern Thailand. Environmental Earth Sciences, 64(8), 2271-2285. doi:10.1007/s12665-011-1055-3
  • Kaya, H., and Gazioğlu, C. (2015). Real estate development at landslides. International Journal of Environment and Geoinformatics, 2(1), 62–71.
  • Khan, A. N., Khan, B., Qasim, S., and Khan, S. N. (2013). Causes, Effects and Remedies: A Case Study of Rural Flooding in District Charsadda, Pakistan. Journal of Managerial Sciences, 7(1).
  • Khan, S., Shahnaz, M., Jehan, N., Rehman, S., Shah, M. T., and Din, I. (2013). Drinking water quality and human health risk in Charsadda district, Pakistan. Journal of Cleaner Production, 60, 93-101. doi:https://doi.org/10.1016/j.jclepro.2012.02.016
  • Lee, M. J., Kang, J. e., and Jeon, S. (2012, 22-27 July 2012). Application of frequency ratio model and validation for predictive flooded area susceptibility mapping using GIS. Paper presented at the 2012 IEEE International Geoscience and Remote Sensing Symposium.
  • Lee, S., and Pradhan, B. (2007). Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models. Landslides, 4(1), 33- 41. doi:10.1007/s10346-006-0047-y
  • Lin, C.-W., Liu, S.-H., Lee, S.-Y., and Liu, C.-C. (2006). Impacts of the Chi-Chi earthquake on subsequent rainfallinduced landslides in central Taiwan. Engineering Geology, 86(2), 87-101. doi:https://doi.org/10.1016/j.enggeo.2006. 02.010
  • McDougall, K., Liu, X., Basnet, B. B., and Apan, A. (2008). Evaluation of current DEM accuracy for Condamine Catchment.
  • Mwaniki, M. W., Moeller, M. S., and Schellmann, G. (2015). A comparison of Landsat 8 (OLI) and Landsat 7 (ETM+) in mapping geology and visualising lineaments: A case study of central region Kenya. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,, Volume XL-7/W3, 7. doi:10.5194
  • Pourghasemi, H. R., Pradhan, B., and Gokceoglu, C. (2012). Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran. Natural Hazards, 63(2), 965-996. doi:10.1007/s11069-012-0217-2
  • Rahman, G., Rahman, A.-U., and Collins, A. (2017). Geospatial analysis of landslide susceptibility and zonation in shahpurvalley, eastern hindu kush using frequency ratio model. Proceedings of the Pakistan Academy of Sciences, 54(3), 149-163.
  • Rahmati, O., Pourghasemi, H. R., and Zeinivand, H. (2016). Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran. Geocarto International, 31(1), 42-70. doi:10.1080/10106049.2015.1041559 Sanyal, J., and Lu, X. X. (2006). GIS¬based flood hazard mapping at different administrative scales: A case study in Gangetic West Bengal, India. Singapore Journal of Tropical Geography, 27(2), 207-220.
  • Tehrany, M. S., Lee, M.-J., Pradhan, B., Jebur, M. N., and Lee, S. (2014). Flood susceptibility mapping using integrated bivariate and multivariate statistical models. Environmental Earth Sciences, 72(10), 4001-4015. doi:10.1007/s12665-014-3289-3
  • Tehrany, M. S., Pradhan, B., and Jebur, M. N. (2015). Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method. Stochastic Environmental Research and Risk Assessment, 29(4), 1149-1165. doi:10.1007/s00477-015-1021-9
  • Uddin, K., and Shrestha, B. (2011). Assessing flood and flood damage using Remote Sensing: a case study from Sunsari, Nepal. Paper presented at the 4th International Conference on Water and Flood Management.
  • Uddin, K., Gurung, D. R., Giriraj, A., and Shrestha, B. (2013). Application of remote sensing and GIS for flood hazard management: a case study from Sindh Province, Pakistan. American Journal of Geographic Information System, 2(1), 1-5.
  • UMITSU, M., HIRAMATSU, T., and TANAVUD, C. (2006). Research on the flood and micro landforms of the Hat Yai Plain, Southern Thailand with SRTM Data and GIS. Transactions, Japanese Geomorphological Union, 27(2), 205-219.
  • UNDP, H. (2004). Reducing Disaster Risk: A Challenge for Development–A Global Report. New York, USA: UNDP.
  • Yalçın, A., Reis, S., Aydinoglu, A. C., and Yomralıoğlu, T. (2011). A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics and logistics regression methods for landslide susceptibility mapping in Trabzon, NE Turkey. CATENA, 85(3), 274-287. doi:http://dx.doi.org/10.1016/j.catena.2011.01.014

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

Yıl 2018, Cilt: 5 Sayı: 2, 140 - 153, 01.08.2018
https://doi.org/10.30897/ijegeo.407260

Öz

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.

Kaynakça

  • 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.
  • 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.
  • 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
  • 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.
  • 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
  • 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
  • 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.
  • 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
  • Brivio, P. A., Colombo, R., Maggi, M., and Tomasoni, R. (2002). Integration of remote sensing data and GIS for accurate mapping of flooded areas. International Journal of Remote Sensing, 23(3), 429- 441. doi:10.1080/01431160010014729
  • Chung, C.-J. F., and Fabbri, A. G. (2003). Validation of Spatial Prediction Models for Landslide Hazard Mapping. Natural Hazards, 30(3), 451-472. doi:10.1023/B:NHAZ.0000007172.62651 .2b
  • Dilley, M. (2005). Natural disaster hotspots: a global risk analysis (Vol. 5): World Bank Publications.
  • District wise census report. (2017).Retrieved from http://www.pbscensus.gov.pk/sites/defaul t/files/DISTRICT_WISE_CENSUS_RES ULTS_CENSUS_2017.pdf
  • Duan, M., Zhang, J., Liu, Z., and Aekakkararungroj, A. (2009). Use of remote sensing and GIS for flood hazard mapping in Chiang Mai Province, northern Thailand. Paper presented at the International Conference on Geospatial Solutions for Emergency Management and the 50th Anniversary of the Chinese Academy of Surveying and Mapping, Beijing, China.
  • Farish, S., Munawar, S., Siddiqua, A., Alam, N., and Alam, M. (2017). Flood Risk Zonation Using GIS Techniques: District Charsadda, 2010 Floods Pakistan. Environmental Risk Assessment and Remediation, 1(2).
  • Forkuo, E. K. (2008). Digital terrain modeling in a GIS environment.
  • Greco, R., Sorriso-Valvo, M., and Catalano, E. (2007). Logistic Regression analysis in the evaluation of mass movements susceptibility: The Aspromonte case study, Calabria, Italy. Engineering Geology, 89(1), 47-66. doi:https://doi.org/10.1016/j.enggeo.2006. 09.006
  • Intarawichian, N., and Dasananda, S. (2011). Frequency ratio model based landslide susceptibility mapping in lower Mae Chaem watershed, Northern Thailand. Environmental Earth Sciences, 64(8), 2271-2285. doi:10.1007/s12665-011-1055-3
  • Kaya, H., and Gazioğlu, C. (2015). Real estate development at landslides. International Journal of Environment and Geoinformatics, 2(1), 62–71.
  • Khan, A. N., Khan, B., Qasim, S., and Khan, S. N. (2013). Causes, Effects and Remedies: A Case Study of Rural Flooding in District Charsadda, Pakistan. Journal of Managerial Sciences, 7(1).
  • Khan, S., Shahnaz, M., Jehan, N., Rehman, S., Shah, M. T., and Din, I. (2013). Drinking water quality and human health risk in Charsadda district, Pakistan. Journal of Cleaner Production, 60, 93-101. doi:https://doi.org/10.1016/j.jclepro.2012.02.016
  • Lee, M. J., Kang, J. e., and Jeon, S. (2012, 22-27 July 2012). Application of frequency ratio model and validation for predictive flooded area susceptibility mapping using GIS. Paper presented at the 2012 IEEE International Geoscience and Remote Sensing Symposium.
  • Lee, S., and Pradhan, B. (2007). Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models. Landslides, 4(1), 33- 41. doi:10.1007/s10346-006-0047-y
  • Lin, C.-W., Liu, S.-H., Lee, S.-Y., and Liu, C.-C. (2006). Impacts of the Chi-Chi earthquake on subsequent rainfallinduced landslides in central Taiwan. Engineering Geology, 86(2), 87-101. doi:https://doi.org/10.1016/j.enggeo.2006. 02.010
  • McDougall, K., Liu, X., Basnet, B. B., and Apan, A. (2008). Evaluation of current DEM accuracy for Condamine Catchment.
  • Mwaniki, M. W., Moeller, M. S., and Schellmann, G. (2015). A comparison of Landsat 8 (OLI) and Landsat 7 (ETM+) in mapping geology and visualising lineaments: A case study of central region Kenya. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,, Volume XL-7/W3, 7. doi:10.5194
  • Pourghasemi, H. R., Pradhan, B., and Gokceoglu, C. (2012). Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran. Natural Hazards, 63(2), 965-996. doi:10.1007/s11069-012-0217-2
  • Rahman, G., Rahman, A.-U., and Collins, A. (2017). Geospatial analysis of landslide susceptibility and zonation in shahpurvalley, eastern hindu kush using frequency ratio model. Proceedings of the Pakistan Academy of Sciences, 54(3), 149-163.
  • Rahmati, O., Pourghasemi, H. R., and Zeinivand, H. (2016). Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran. Geocarto International, 31(1), 42-70. doi:10.1080/10106049.2015.1041559 Sanyal, J., and Lu, X. X. (2006). GIS¬based flood hazard mapping at different administrative scales: A case study in Gangetic West Bengal, India. Singapore Journal of Tropical Geography, 27(2), 207-220.
  • Tehrany, M. S., Lee, M.-J., Pradhan, B., Jebur, M. N., and Lee, S. (2014). Flood susceptibility mapping using integrated bivariate and multivariate statistical models. Environmental Earth Sciences, 72(10), 4001-4015. doi:10.1007/s12665-014-3289-3
  • Tehrany, M. S., Pradhan, B., and Jebur, M. N. (2015). Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method. Stochastic Environmental Research and Risk Assessment, 29(4), 1149-1165. doi:10.1007/s00477-015-1021-9
  • Uddin, K., and Shrestha, B. (2011). Assessing flood and flood damage using Remote Sensing: a case study from Sunsari, Nepal. Paper presented at the 4th International Conference on Water and Flood Management.
  • Uddin, K., Gurung, D. R., Giriraj, A., and Shrestha, B. (2013). Application of remote sensing and GIS for flood hazard management: a case study from Sindh Province, Pakistan. American Journal of Geographic Information System, 2(1), 1-5.
  • UMITSU, M., HIRAMATSU, T., and TANAVUD, C. (2006). Research on the flood and micro landforms of the Hat Yai Plain, Southern Thailand with SRTM Data and GIS. Transactions, Japanese Geomorphological Union, 27(2), 205-219.
  • UNDP, H. (2004). Reducing Disaster Risk: A Challenge for Development–A Global Report. New York, USA: UNDP.
  • Yalçın, A., Reis, S., Aydinoglu, A. C., and Yomralıoğlu, T. (2011). A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics and logistics regression methods for landslide susceptibility mapping in Trabzon, NE Turkey. CATENA, 85(3), 274-287. doi:http://dx.doi.org/10.1016/j.catena.2011.01.014
Toplam 35 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Research Articles
Yazarlar

Muhammad Farhan Ul Moazzam

Anujit Vansarochana Bu kişi benim

Atta Ur Rahman Bu kişi benim

Yayımlanma Tarihi 1 Ağustos 2018
Yayımlandığı Sayı Yıl 2018 Cilt: 5 Sayı: 2

Kaynak Göster

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

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https://doi.org/10.30897/ijegeo.661533