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Spatial appraisal of flood risk assessment and evaluation using integrated hydro-probabilistic approach in Panjkora River Basin, Pakistan

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Abstract

Globally, flood is one of the devastating hydrometeorological disasters, causing human losses and damages to properties and infrastructure. There is a need to determine and geo-visualize flood risk to assist decision-making process for flood risk reduction. The current study is a local level pioneering attempt regarding the spatial appraisal of flood risk assessment and evaluation in Panjkora River Basin, eastern Hindu Kush. An integrated hydro-probabilistic approach is implemented by clubbing the results of Hydrologic Engineering Centre’s River Analysis System (HEC-RAS) and Hydrologic Engineering Centre’s Geographic River Analysis System (HEC-Geo-RAS) in geographic information system (GIS) environment. An Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM) is used as input data to delineate the target basin and generation of river geometry. Hydraulic and hydrological data were used to estimate and geo-visualize vertical profile and spatial extent of various floods in the active floodplain of Panjkora River. Gumbel’s frequency distribution model is applied in analyzing daily peak discharge recorded during the past 32 years, and 200-year flood magnitude (1392m3/sec), probable inundation (45.5 km2), and vertical profile (19 m) are modeled. Analysis revealed that likelihood of such flood has increased the risk of potential damages to roads (46 km), retaining walls (49 km), bridges (16), and culverts (46). The analysis further revealed that built-up area (10.4 km2) and agricultural land (20.2 km2) will also come under flood with life loss. The resultant flood risk zones and spatial appraisal will definitely help in bringing down the probable flood damages. Similarly, current study has potential to assist disaster managers, hydraulic engineers, and policy makers to understand the flood risk and implement location-specific effective flood risk reduction strategies.

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References

  • Abdelbasset, M., Abderrahim, L., Ali, C. A., Abdellah, B., Lahcen, B., & Laila, B. (2015). Integration of GIS and HEC-RAS in floods modeling of the Ouergha river, Northern Morocco. European Scientific Journal, ESJ, 11(2).

  • Aggarwal, A. (2016). Exposure, hazard and risk map** during a flood event using open source geospatial technology. Geomatics, Natural Hazards and Risk, 7(4), 1426–1441.

    Google Scholar 

  • Ahmad, B., Muhammad, S. K., Butt, M. J., & Dahri, Z. H. (2010). Hydrological modelling and flood hazard map** of Nullah Lai. Proceedings of the Pakistan Academy of Sciences, 47(4), 215–226.

    Google Scholar 

  • Ahmad, I., Tang, D., Wang, T., Wang, M., Wagan, B. (2015). Precipitation trends over time using Mann-Kendall and spearman’s rho tests in swat river basin, Pakistan. Advances in Meteorology 2015. https://doi.org/10.1155/2015/431860.

  • Balica, S. F., Popescu, I., Beevers, L., & Wright, N. G. (2013). Parametric and physically based modelling techniques for flood risk and vulnerability assessment: a comparison. Environmental modelling and software, 41, 84–92.

    Google Scholar 

  • Bates, P. D. (2004). Remote sensing and flood inundation modelling. Hydrological processes, 18(13), 2593–2597.

    Google Scholar 

  • Beven, K. (2002). Towards an alternative blueprint for a physically based digitally simulated hydrologic response modelling system. Hydrological processes, 16(2), 189–206.

    Google Scholar 

  • Booij, M. J. (2005). Impact of climate change on river flooding assessed with different spatial model resolutions. Journal of hydrology, 303(1-4), 176–198.

    Google Scholar 

  • Borga, M. (2002). Accuracy of radar rainfall estimates for stream flow simulation. Journal of Hydrology, 267(1-2), 26–39.

    Google Scholar 

  • Brunner, G. W. (2002). HEC-RAS River Analysis System. Hydraulic Reference Manual. Version 1.0. Davis: US Army Corps of Engineers.

    Google Scholar 

  • Butt, M. J., Umar, M., & Qamar, R. (2013). Landslide dam and subsequent dam-break flood estimation using HEC-RAS model in Northern Pakistan. Natural Hazards, 65(1), 241–254.

  • Chow, V. T. (1959). Open-channel hydraulics. New York: McGraw- Hill Book Co. 680 p.

    Google Scholar 

  • Chow, V. T., Maidment, D. R., & Mays, L. W. (1988). Applied Hydrology. New York: McGraw-Hill Book Co..

    Google Scholar 

  • Dang, N. M., Babel, M. S., & Luong, H. T. (2011). Evaluation of food risk parameters in the day river flood diversion area, Red River delta, Vietnam. Natural hazards, 56(1), 169–194.

    Google Scholar 

  • Dawood, M., Mahmood, S., Rahman, G., & Rahman, A. (2017). Impact of Rainfall Fluctuation on River Discharge in Hindu Kush Region, Pakistan. Abasyn Journal of Social Sciences, 10, 246–259.

  • Fendler, R. (2008). Floods and safety of establishments and installations containing hazardous substances conclusions on a research project of the German Umweltbundesamt. Natural Hazards, 46, 257–263.

    Google Scholar 

  • Gholami, V., Jokar, E., Azodi, M., Zabardast, H. A., & Bashirgonbad, M. (2009). The influence of anthropogenic activities on intensifying runoff generation and flood hazard in Kasilian watershed. Journal of Applied Sciences, 9(20), 3723–3730.

    Google Scholar 

  • Gichamo, T. Z., Popescu, I., Jonoski, A., & Solomatine, D. (2012). River cross-section extraction from the ASTER global DEM for flood modeling. Environmental Modelling and Software, 31, 37–46.

    Google Scholar 

  • Gosain, A. K., Rao, S., & Basuray, D. (2006). Climate change impact assessment on hydrology of Indian river basins. Current Science, 346–353.

  • Government of Pakistan (GoP) (2019). Annual Flood Report 2018. Office of the Chief Engineering Advisor and Chairman Federal Flood Commission Islamabad

  • Gumbel, E. J. (1958). Statistics of extremes (p. 375). New York: Columbia University Press.

    Google Scholar 

  • IPCC (2014). Climate change 2014: Synthesis Report. Contribution of Working Groups I. II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) Geneva, Switzerland, 151.

  • Kelman, I., Gaillard, J. C., & Mercer, J. (2015). Climate change’s role in disaster risk reduction’s future: Beyond vulnerability and resilience. International Journal of Disaster Risk Science, 6(1), 21–27.

    Google Scholar 

  • Khan, B., Iqbal, M. J., & Yosufzai, M. A. K. (2011). Flood risk assessment of river Indus of Pakistan. Arabian Journal of Geosciences, 4(1-2), 115–122.

    CAS  Google Scholar 

  • Khattak, M. S., Anwar, F., Saeed, T. U., Sharif, M., Sheraz, K., & Ahmed, A. (2016). Floodplain map** using HEC-RAS and ArcGIS: a case study of Kabul River. Arabian Journal for Science and Engineering, 41(4), 1375–1390.

    Google Scholar 

  • Knebl, M. R., Yang, Z. L., Hutchison, K., & Maidment, D. R. (2005). Regional scale flood modeling using NEXRAD rainfall, GIS, and HEC-HMS/RAS: a case study for the San Antonio River Basin Summer 2002 storm event. Journal of Environmental Management, 75(4), 325–336.

    CAS  Google Scholar 

  • Komi, K., Neal, J., Trigg, M. A., & Diekkrüger, B. (2017). Modelling of flood hazard extent in data sparse areas: a case study of the Oti River basin, West Africa. Journal of Hydrology: Regional Studies, 10, 122–132.

    Google Scholar 

  • Kosaka, Y., & **e, S. P. (2013). Recent global-warming hiatus tied to equatorial Pacific surface cooling. Nature, 501(7467), 403–407.

    CAS  Google Scholar 

  • Kundzewicz, Z. W., & Jania, J. A. (2007). Extreme hydro-meteorological events and their impacts. From the global down to the regional scale. Geographia Polonica, 80(2), 9–23.

    Google Scholar 

  • Maaskant, B., Jonkman, S. N., & Bouwer, L. M. (2009). Future risk of flooding: an analysis of change in potential loss of life in South Holland (The Netherlands). Environmental Science and Policy, vol, 12, 157–169.

    Google Scholar 

  • Mahmood, S. (2013). Flood hazard: causes, damages and mitigation in District Upper Dir. LAP. Lambert Academic Publishing, Saarbrückenax (ISBN-13: 978-3-659-46747-9).

  • Mahmood, S., & Rahman, A. (2019a). Flash flood susceptibility modelling using geo-morphometric and hydrological approaches in Panjkora Basin, Eastern Hindu Kush, Pakistan. Environmental Earth Sciences, 78(1), 43–58.

    Google Scholar 

  • Mahmood, S., & Rahman, A. (2019b). Flash flood susceptibility modelling using geo-morphometric approach in Ushairy Basin, Eastern Hindu Kush. Journal of Earth System Science, 128(4), 97–111.

    Google Scholar 

  • Mahmood, S., & Rani, R. (2018). Extent of 2014 flood damages in Chenab Basin Upper Indus Plain. In Natural hazards-risk assessment and vulnerability reduction (p. 79687). IntechOpen. https://doi.org/10.5772/intechopen

  • Mahmood, S., Khan, A. H., & Mayo, S. M. (2016a). Exploring underlying causes and assessing damages of 2010 flash flood in the upper zone of Panjkora River. Natural Hazards, 83(2), 1213–1227.

    Google Scholar 

  • Mahmood, S., Khan, A. H., & Ullah, S. (2016b). Assessment of 2010 flash flood causes and associated damages in Dir Valley, Khyber Pakhtunkhwa Pakistan. International Journal of Disaster Risk Reduction, 16, 215–223.

    Google Scholar 

  • Mahmood, S., Rahman, A. U., & Sajjad, A. (2019). Assessment of 2010 flood disaster causes and damages in district Muzaffargarh, Central Indus Basin, Pakistan. Environmental Earth Sciences, 78(3), 63.

    Google Scholar 

  • Malik, M. I., & Ahmad, F. (2014). Flood inundation map** and risk zoning of the Swat River Pakistan using HEC-RAS model. Lasbela University Journal of Science and Technology, 3, 45–52.

    Google Scholar 

  • Mazzorana, B., Hübl, J., & Fuchs, S. (2009). Improving risk assessment by defining consistent and reliable system scenarios. Natural Hazards and Earth System Sciences, 9(1), 145–159.

    Google Scholar 

  • Moel, H. D., Alphen, J. V., & Aerts, J. C. J. H. (2009). Flood maps in Europe-methods, availability and use. Natural Hazards Earth System Science, 9, 289–301.

    Google Scholar 

  • Mustafa, D., & Wrathall, D. (2011). Indus basin floods of 2010: souring of a Faustian bargain?.Water. Alternatives, 4, 72–85.

    Google Scholar 

  • Ouma, Y. O., & Tateishi, R. (2014). Urban flood vulnerability and risk map** using integrated multi-parametric AHP and GIS: methodological overview and case study assessment. Water, 6(6), 1515–1545.

    Google Scholar 

  • Ponce, V. M., (1989). Engineering hydrology, principles and practices. Prentice Hall, pp. 223–226.

  • Qasim, S., Qasim, M., Shrestha, R. P., Khan, A. N., Tun, K., & Ashraf, M. (2016). Community resilience to flood hazards in Khyber Pakhtunkhwa province of Pakistan. International Journal of Disaster Risk Reduction, 18, 100–106.

    Google Scholar 

  • Rahman, A., & Dawood, M. (2017). Spatio-statistical analysis of temperature fluctuation using Mann-Kendall and Sen’s Slope approach. Climate dynamics, 48(3-4), 783–797.

    Google Scholar 

  • Rahman, A., & Khan, A. N. (2011). Analysis of flood causes and associated socio-economic damages in the Hindu Kush region. Natural Hazards, 59(3), 1239–1260.

    Google Scholar 

  • Rahman, A., & Khan, A. N. (2013). Analysis of 2010-flood causes, nature and magnitude in the Khyber Pakhtunkhwa, Pakistan. Natural Hazards, 66(2), 887–904.

    Google Scholar 

  • Rahman, A., & Shaw, R. (2015). Floods in the Hindu Kush Region: causes and socio-economic aspects. In Mountain Hazards and Disaster Risk Reduction (pp. 33–52). Japan: Springer.

  • Sadrolashrafi, S. S., Mohamed, T. A., Mahmud, A. R. B., Kholghi, M. K., & Samadi, A. (2008). Integrated modeling for flood hazard map** using watershed modeling system. American Journal of Engineering and Applied Sciences, 1(2).

  • Schumann, G., Hostache, R., Puech, C., Hoffmann, L., Matgen, P., Pappenberger, F., & Pfister, L. (2007). High-resolution 3-D flood information from radar imagery for flood hazard management. IEEE transactions on geoscience and remote sensing, 45(6), 1715–1725.

    Google Scholar 

  • Solaimani, K. (2011). Flood forecasting based on GIS and hydraulic model. International Journal of Fluid Mechanics Research, 38(3), 215–224.

    Google Scholar 

  • Surminski, S. (2018). Flood insurance and flood risk reduction. Oxford Research Encyclopedia of Natural Hazard Science. https://doi.org/10.1093/acrefore/9780199389407.013.91.

  • Villarini, G., & Slater, L. (2017). Climatology of flooding in the United States. Oxford Research Encyclopedia of Natural Hazard Science. https://doi.org/10.1093/acrefore/9780199389407.013.123.

  • Xu, C. Y., & Singh, V. P. (2004). Review on regional water resources assessment models under stationary and changing climate. Water Resources Management, 18(6), 591–612.

    Google Scholar 

  • Yang, J., Townsend, R. D., & Daneshfar, B. (2006). Applying the HEC-RAS model and GIS techniques in river network floodplain delineation. Canadian Journal of Civil Engineering, 33(1), 19–28.

    Google Scholar 

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Acknowledgments

We are highly thankful of Flood Forecasting Division, Provincial Disaster Management Authority and local community, and anonymous reviewers for their precious suggestions. This research article is part of my Ph.D research work.

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Correspondence to Shakeel Mahmood.

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Mahmood, S., Rahman, Au. & Shaw, R. Spatial appraisal of flood risk assessment and evaluation using integrated hydro-probabilistic approach in Panjkora River Basin, Pakistan. Environ Monit Assess 191, 573 (2019). https://doi.org/10.1007/s10661-019-7746-z

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