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Integrating Sediment Dynamics and Connectivity in Flood Risk Assessment of the Himalayan Rivers

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Integrating Sediment Dynamics and Connectivity in Flood Risk Assessment of the Himalayan Rivers Regional webinar on South Asia Transboundary Rivers, 9th November, 2020 Integrating sediment dynamics and connectivity in flood risk assessment of the Himalayan rivers ∂ Rajiv Sinha Department of Earth Sciences Indian Institute of Technology Kanpur, India [email protected] Until 18 August, 2008 River disasters: Kosi Natural or human- Megafan induced? Excessive sediment flux ~22km wide and embankments caused channel excessive aggradation of river bed, breaching and 120 km extensive flooding 18 August, 2008 Super-elevated River Unplanned management and encroachment of river space, construction of river projects and dumping of sediments The furious Kosi: August 2008 Uttarakhand Floods: 2013 Sediment Dynamics in Himalayan Rivers: a central problem! Tectonics Hinterland characteristics Precipitation Runoff Deforestation + + Sediment Human River dynamics Flux Interventions + Bank instability Aggradation/ Drainage congestion and Erosion + degradation and Waterlogging Flooding Why has this problem remained unresolved? Lack of process-understanding, basin- Why? scale data on hydrology and sediment; data sharing issues in transboundary rivers Where? No maps of the hotspots of siltation to prioritize the action How No estimates of the volume of silt much? accumulated in the channel What to No assessment of commercial uses of do? silt and no mapping of stakeholders => Need a comprehensive understanding of sediment dynamics Sediment Budget of transboundary the Kosi River Indrawati / Bhote Tama Kosi Kosi Arun Total sediment Sun accumulated since the Kosi Mulghat 16 Mt/yr embankment Dolaghat Busti 30 Mt/yr 10 Mt/yr Tamor construction: Chatara 101 Mt/yr Chatara-Birpur: Birpur = 1080 MT Sapt Kosi 81 Mt/yr = 408×106 m3 Jhanjharpur 8 Mt/yr Kamla- Birpur-Baltara: Balan Hayaghat 2862 MT 7 Mt/yr = Baghmati = 1080×106 m3 Baltara 43 Mt/yr (Sinha et al., 2019, Jour. of Hotspots of siltation mapped by computing the ratio of Bar area to channel area (BA/CA) in each reach Kosi River 1972 1980 1992 2000 2009 2016 Chatara (1972-2016) Pipra Kusaha Koshi barrage Kusaha Dalwa (2008) (1963) Kunauli (1967) Joginia (1991) Bhatania (1971) Jamalpur Navhatta (1968) (1984) Dumari ghat Ghonghepur • Past breaches along the Kosi coincide with the hotspots of siltation. (1987) • Validates the hypothesis that siltation has resulted in ‘superelevation’ of riverbed and hence increase in lateral slope leading to breaches. • All breaches resulted in large floods and therefore these hotspots of siltation are also high flood risk zones. Hillslope to Channel connectivity (ICchannel) Catchment Connectivity (ICoutlet ) Sediment coupling-decoupling Sediment delivery across the whole between hillslopes & channel drainage system Arun Arun Arun Arun Catchment Catchment Outlet Outlet River ICChannel ICOutlet Implication Indravati Low Low Very low potential for sediment dynamics Bhote K. Moderate Moderate Moderate potential for sediments reaching the channel and the outlet Tama K. Moderate Moderate Dudh K. High High Very high potential for sediments reaching the channel and the outlet Sun K Moderate Low Sediments can reach the channel but the potential to reach the outlet is low Arun High Low Tamor Low High Sediments cannot reach the channel and overall sediment dynamics is low Overall Response to Sediment Connectivity IC High/ High/ Low Low channel Mod Mod High Low ICOutlet High Low Dudh, Arun, Tama, Indravati River basins Sun Kosi Tamor Bhote High Moderate Moderate to Overall connectivity 40% of total 44% of total low, Low and sediment flux sediment load at sediment load at 16% of total Chatara Chatara sediment flux Large basin area, Dominant High Rainfall, Steep Variable Dense forest Small basin area, Slope, dissected environmental morphology, cover, gradual slope, terrain and dense Snow/glaciers forest cover controls Agricultural Practices forest/grassland Major Learnings Integrating Sediment Management in flood risk assessment • Strong linkages between sediment dynamics and flood risk and river avulsion How Much First order estimates of • Apart from rainfall and geological factors, sediment silt accumulated over connectivity in the upper catchment drives the Silt? the last 3-4 decades sediment flux at the outlets in a major way. • Apart from slope, LULC also governs the sediment connectivity, and therefor, the impact of changing Where to Identification of LULC on connectivity is crucial to understand. hotspots of aggradation de-silt? and degradation • Channel aggradation due to high sediment flux leads to ‘superelevated’ rivers which in turn leads to breach of embankment and extensive flooding. How to de- Mechanisms and • Several ‘hotspots’ of siltation coincide with the past silt? techniques of desilting breaching sites followed by flooding – this underscores the role of siltation on flood risk. • Long terms solutions to such problems in What to do transboundary rivers require basin scale Commercial utilization understanding of river processes and effective with silt? of silt sediment management strategies. Key Policy Recommendations 1 2 3 4 5 Harmonise data Strong need to Joint monitoring Urgently need gathering and Sediment bridge the gap and assessment additional and sharing between management between science of sediment data modern all concerned should become an and policy for across borders, hydrological states/countries. essential part of flood including data stations in the Kosi flood risk management of sharing, for flood basin for continuous assessment and transboundary management and sediment management at rivers planning measurements. the national as well as transboundary scale. Key Policy Recommendations 1 2 3 4 5 Effectively Take measures to manage flooding address sediment Preparation of Prepare basin scale local flood Develop and on the Kosi River dynamics and GIS interactive flood involve by moving from a improve drainage management risk maps based on plans, using a communities in policy of ‘river in low-lying areas. scientific data and flood and control’ to a combination of reasoning, historical scientific and local sediment policy of ‘river data analysis and management management’. knowledge of Kosi modelling River hazards. strategies. approaches, and link them to an online database and flood warning system. Acknowledgements: International Centre for Integrated Mountain Development, Kathmandu, Nepal Action on Climate Today (ACT) program, DFID India Students: Kanchan Mishra, Somil Swrankar, Alok Gupta References: Sinha Rajiv, Alok Gupta, Kanchan Mishra, Shivam Tripathi, Santosh Nepal, S. M. Wahid, Somil Swrankar (2019) Basin scale hydrology and sediment dynamics of the Kosi River in the Himalayan foreland. Jour. of Hydrology, 570, 156-166. https://doi.org/10.1016/j.jhydrol.2018.12.051 Mishra, K., Sinha, R., Jain, V., Nepal, S. and Uddin, K. (2019). Towards the assessment of sediment connectivity in a large Himalayan river basin. Science of the Total Environment, 661, 251-265. https://doi.org/10.1016/j.scitotenv.2019.01.118 Mishra, K. and Sinha, R. (2020). Flood risk assessment in the Kosi alluvial plains (megafan) using multi-criteria decision analysis: a hydro-geomorphic approach. Geomorphology, 350, 106861, 1-19. https://doi.org/10.1016/j.geomorph.2019.106861.
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