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Flood hazard assessment in Chenab River basin using hydraulic simulation modeling and remote sensing

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Abstract

This paper analyses flood frequency and performs flood simulation modeling along the Chenab River from Trimmu–Panjnad reach, to simulate flood 2014 and identify resultant flood inundated areas, under different return periods of floods. The aim of this study is to assist policymakers in designing efficient flood mitigation policies for the Chenab River, Pakistan which has been frequently hit by floods, especially in September 2014. Flood frequency analysis was carried out using log-Pearson type III (LP3) distributions to estimate peak flows with various return periods. The peak floods were incorporated into the Hydrologic Engineering Centre River Analysis System (HEC-RAS) model to predict the relevant flood levels for river stretches from Trimmu to Panjnad reach. The HEC-RAS model outcomes were integrated with ArcGIS to prepare flood risk maps that helped in identifying different flood-vulnerable areas. Two flood risk zones were developed; low to moderate and high to very high flood risk zones. The simulation analysis of a 50-year flood period showed that about 400% of the land would be submerged when compared to normal river flow. The simulation of the flood 2014 extent was found to clearly match the MODIS images provided by the United Nations Satellite Centre (UNOSAT). The surface areas of floods having different return periods, were also estimated. The utilization of the HEC-RAS model for simulating the 2014 flood, presents an opportunity for flood policymakers to enhance their understanding and formulate effective risk reduction strategies in the Chenab River basin.

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Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  • Abdelkarim A, Gaber AFD, Youssef AM, Pradhan B (2019) Flood hazard assessment of the urban area of Tabuk City, Kingdom of Saudi Arabia by integrating spatial-based hydrologic and hydrodynamic modeling. Sensors 19:1024

    Article  ADS  PubMed  PubMed Central  Google Scholar 

  • Ahmad Q, Ahmed AU (2003) Regional cooperation in flood management in the Ganges–Brahmaputra–Meghna region: Bangladesh perspective. In: Flood problem and management in South Asia; Springer: Berlin/Heidelberg, Germany, pp 181–198

  • Ahmad R, Daniyal D (2013) Evaluating damage assessment of breaches along the embankments of Indus River during flood 2010 using remote sensing techniques, ISPRS Int. Arch Photogramm Remote Sens Spat Inf Sci 1:7–11

    Article  Google Scholar 

  • Ashraf M, Shakir AS (2018) Prediction of river bank erosion and protection works in a reach of Chenab River. Pakistan Arab J Geosci 11:145

    Article  Google Scholar 

  • Aslam RW, Shu H, Yaseen A, Sajjad A, Abidin SZU (2023) Identification of time-varying wetlands neglected in Pakistan through remote sensing techniques. Environ Sci Pollut Res 30:74031–74044

    Article  Google Scholar 

  • Chen Q, Xia J, Falconer RA, Guo P (2018) Further improvement in a criterion for human stability in floodwaters. J Flood Risk Manag 12:12486

    Article  Google Scholar 

  • Chow MF, Yusop Z, Toriman ME (2012) Modelling runoff quantity and quality in tropical urban catchments using storm water management model. Int J Environ Sci Technol 9:737–748

    Article  CAS  Google Scholar 

  • De Bruijn KM, Klijn F, Pas B, Slager CTJ (2015) Flood fatality hazard and flood damage hazard: combining multiple hazard characteristics into meaningful maps for spatial planning. Nat Hazard 15:1297–1309

    Article  Google Scholar 

  • Dimitriadis P, Tegos A, Oikonomou A, Pagana V, Koutsoyiannis D, Efstratiadis A (2016) Comparative evaluation of 1D and quasi-2D hydraulic models based on benchmark and real-world applications for uncertainty assessment in flood mapping. J Hydrol 534:478–492

    Article  Google Scholar 

  • Farooq M, Shafique M, Khattak MS (2018) Flood frequency analysis of river swat using log pearson type 3, generalized extreme value, normal, and gumbel max distribution methods. Arab J Geosci 11:216

    Article  Google Scholar 

  • Farooq M, Shafique M, Khattak MS (2019) Flood hazard assessment and mapping of River Swat using HEC-RAS 2D model and high-resolution 12-m TanDEM-X DEM (WorldDEM). Nat Hazards 97:477–492

    Article  Google Scholar 

  • Federal Flood Commission Islamabad (FFCI) (2014) Annual flood report. Ministry of Water and Power Pakistan

  • Gaurav K, Sinha R, Panda PK (2011) The Indus flood of 2010 in Pakistan: a perspective analysis using remote sensing data. Nat Hazards 59(3):1815–1826

    Article  Google Scholar 

  • Government of Pakistan (GoP) (2017) District census report of Multan, Population Census Organization, Islamabad

  • Haq M, Akhtar M, Muhammad S, Paras S, Rahmatullah J (2012) Techniques of remote sensing and GIS for flood monitoring and damage assessment: a case study of Sindh province, Pakistan. Egypt J Remote Sens Space Sci 15:135–141

    Google Scholar 

  • Hussain M, Butt AR, Uzma F, Ahmed R, Irshad S, Rehman A, Yousaf B (2019) A comprehensive review of climate change impacts, adaptation, and mitigation on environmental and natural calamities in Pakistan. Environ Monit Assess 192:48

    Article  PubMed  Google Scholar 

  • Shaw R, Luo Y, Cheong TS, Abdul Halim S, Chaturvedi S, Hashizume M, Insarov GE, Ishikawa Y, Jafari M, Kitoh A, Pulhin J, Singh C, Vasant K, Zhang Z (2022) Asia. In: Pörtner H-O, Roberts DC, Tignor M, Poloczanska ES, Mintenbeck K, Alegría A, Craig M, Langsdorf S, Löschke S, Möller V, Okem A, Rama B (eds) Climate change 2022: impacts, adaptation and vulnerability. Contribution of working group II to the Sixth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, pp 1457–1579. https://doi.org/10.1017/9781009325844.012

    Chapter  Google Scholar 

  • Intergovernmental Panel on Climate Change (IPCC) (2022). Technical summary. In: The ocean and cryosphere in a changing climate; Cambridge University Press, Cambridge, pp 39–70

  • Iqbal MS, Dahri ZH, Querner EP (2018) The impact of climate change on flood frequency and intensity in the Kabul River basin. Geosciences 8:114

    Article  ADS  Google Scholar 

  • Islam AS, Bala S, Haque MA (2010) Flood Inundation map of Bangladesh using MODIS time-series images. J Flood Risk Manag 3:210–222

    Article  Google Scholar 

  • Khalid B, Cholaw B, Alvim DS, Javeed S, Khan JA, Javed MA, Khan AH (2018) Riverine flood assessment in Jhang district in connection with ENSO and summer monsoon rainfall over Upper Indus Basin for 2010. Nat Hazards 92(2):971–993

    Article  Google Scholar 

  • Khalil U, Khan MN, Rehman H (2017) Floodplain mapping for Indus river: Chashma–Taunsa reach. Pak J Eng Appl Sci 20:30–48

    Google Scholar 

  • Khattak MS, Anwar F, Saeed TU, Sharif M, Sheraz K, Ahmed A (2015) Floodplain mapping using HEC-RAS and ArcGIS: a case study of Kabul River. Arab J Sci Eng 41:1375–1390

    Article  Google Scholar 

  • Mahmood S, Rahman A, Sajjad A (2019a) Assessment of 2010 flood disaster causes and damages in district Muzaffargarh, Central Indus Basin. Pak Environ Earth Sci 78(3):63

    Article  ADS  Google Scholar 

  • Mahmood S, Rahman A, Shaw R (2019b) Spatial appraisal of flood risk assessment and evaluation using integrated hydro-probabilistic approach in Panjkora River Basin. Pak Environ Monit Assess 191:573

    Article  Google Scholar 

  • Mahmood S, Sajjad A, Rahman A-u (2021) Cause and damage analysis of 2010 food disaster in district Muzaffar Garh, Pakistan. Nat Hazards 107:1681–1692

    Article  Google Scholar 

  • McCuen RH (2003) Modeling hydrologic change: statistical methods. Lewis Publishers Washington 381

  • Moel HDE, Alphen JV, Aerts JCJH (2009) Flood maps in Europe: methods, availability and use. Nat Hazards Earth Syst Sci 9:289–301

    Article  ADS  Google Scholar 

  • Naeem B, Azmat M, Tao H, Ahmad S, Khattak MU, Haider S, Ahmad S, Khero Z, Goodell CR (2021) Flood Hazard assessment for the tori levee breach of the Indus River basin. Pakistan Water 13:604

    Google Scholar 

  • Parry M, Canziani OF, Palutikof JP, van der Linden PJ, Hanson CE (2007) Intergovernmental panel on climate change (IPCC): impacts, adaptation and vulnerability. Asia climate change 2007. In: Parry (eds) Cambridge University Press, Cambridge

  • Pistrika A, Tsakiris G (2007) Water resources management: new approaches and technologies. European Water Resources Association, China

    Google Scholar 

  • Quirós E, Gagnon AS (2020) Validation of flood risk maps using open source optical and radar satellite imagery. Trans GIS 24:1208–1226

    Article  Google Scholar 

  • Sajjad A, Lu J, Chen X, Chisenga C, Mahmood S (2019) The riverine flood catastrophe in august 2010 in south Punjab, Pakistan: potential causes, extent and damage assessment. Appl Ecol Environ Res 17(6):14121–14142

    Article  Google Scholar 

  • Sajjad A, Lu J, Chen X, Chisenga C, Saleem N, Hassan H (2020b) Operational monitoring and damage assessment of riverine flood-2014 in the lower Chenab Plain, Punjab, Pakistan, using remote sensing and GIS techniques. Remote Sens 12(4):714

    Article  ADS  Google Scholar 

  • Sajjad A, Lu J, Chen X, Chisenga C, Mazhar N, Nadeem B (2022) Riverine flood mapping and impact assessment using remote sensing technique: a case study of Chenab flood-2014 in Multan district, Punjab, Pakistan. Nat Hazards 110:2207–2226

    Article  Google Scholar 

  • Sajjad A, Lu J, Chen X, Chisenga C, Mazhar N (2023) Rapid assessment of riverine flood inundation in Chenab floodplain using remote sensing techniques. Geoenviron Disasters 10:9

    Article  Google Scholar 

  • Sajjad A, Lu J, Chen X, Chisenga C, Saleem N (2020b) Rapid riverine flood mapping with different water indices using flood instances Landsat-8 images. https://doi.org/10.3390/ECWS-5-08049

  • Sanyal J, Lu XX (2004) Application of remote sensing in flood management with special reference to monsoon Asia: a review. Nat Hazards 33:283–301

    Article  Google Scholar 

  • Schumann G, Bates P, Apel H, Aronica G (2018) Global flood hazard mapping, modeling, and forecasting, pp 239–244

  • Shustikova I, Domeneghetti A, Neal JC, Bates P, Castellarin A (2019) Comparing 2D capabilities of HEC-RAS and LISFLOOD-FP on complex topography. Hydrol Sci J 64:1769–1782

    Article  Google Scholar 

  • Shustikova I, Neal JC, Domeneghetti A, Bates PD, Vorogushyn S, Castellarin A (2020) Levee breaching: a new extension to the LISFLOOD-FP model. Water 12:942

    Article  Google Scholar 

  • Siddiqui M, Haider S, Gabriel HF, Shahzad A (2018) Rainfall–runoff, flood inundation and sensitivity analysis of the 2014 Pakistan flood in the Jhelum and Chenab River basin. Hydrol Sci J 63:13–14

    Article  Google Scholar 

  • Syvitski J, Brakenridge R (2013) Causation and avoidance of catastrophic flooding along the Indus River Pakistan. GSA Today 23:4–10

    Article  Google Scholar 

  • Tariq MAUR (2013) Risk-based flood zoning employing expected annual damages: the Chenab River case study. Stoch Env Res Risk Assess 27:1957–1966

    Article  Google Scholar 

  • Tariq A, Shu H, Kuriqi A, Siddiqui S, Gagnon AS, Lu L, Linh NTT, Pham QB (2021) Characterization of the 2014 Indus River flood using hydraulic simulations and satellite images. Remote Sens 13:2053

    Article  ADS  Google Scholar 

  • Teng J, Jakeman AJ, Vaze J, Croke BFW, Dutta D, Kim S (2017) Flood inundation modelling: a review of methods, recent advances and uncertainty analysis. Environ Model Softw 90:201–216

    Article  Google Scholar 

  • Uddin K, Matin MA, Meyer FJ (2019) Operational flood mapping using multi-temporal Sentinel-1 SAR images: a case study from Bangladesh. Remote Sens 11:1581

    Article  ADS  Google Scholar 

  • USACE (2016) HEC-RAS river analysis system hydraulic reference manual. Version 5.0. Hydrologic Engineering Center Davis, Davis

    Google Scholar 

  • Ward PJ, Jongman B, Weiland FS, Bouwman A, van Beek R, Bierkens MF, Ligtvoet W, Winsemius HC (2013) Assessing flood risk at the global scale: model setup, results, and sensitivity. Environ Res Lett 8:044019

    Article  ADS  Google Scholar 

  • Yalcin E (2020) Assessing the impact of topography and land cover data resolutions on two-dimensional HEC-RAS hydrodynamic model simulations for urban flood hazard analysis. Nat Hazards 101:995–1017

    Article  Google Scholar 

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Acknowledgements

The authors extend their gratitude to USGS for providing Remote Sensing data. Additionally, they acknowledge the local irrigation department for sharing valuable information.

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The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

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Research design, SA, JL.; Image analysis, flood simulation maps and change assessment, SA; validation, SA, JL; investigation, XC, YS, MN; resources, review, editing; JL, XC; data curation, SA; writing—original draft, SA; writing—review and editing, SA, JLu, SS; supervision, JL, XC.

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Correspondence to Asif Sajjad.

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Sajjad, A., Lu, J., Chen, X. et al. Flood hazard assessment in Chenab River basin using hydraulic simulation modeling and remote sensing. Nat Hazards (2024). https://doi.org/10.1007/s11069-024-06513-4

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