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Modelling the Ganges, Brahmaputra and Meghna Rivers: Impacts of Climate Change and Socio- economic Change on Flow and Water Quality in India and Bangladesh Paul Whitehead and Emily Barbour www.espadelta.net ESPA Deltas Project Coastal


  1. Modelling the Ganges, Brahmaputra and Meghna Rivers: Impacts of Climate Change and Socio- economic Change on Flow and Water Quality in India and Bangladesh Paul Whitehead and Emily Barbour www.espadelta.net

  2. ESPA Deltas Project Coastal ecosystems, governance and poverty: A case study of managing the Ganga-Brahmaputra- Meghna Delta in a changing world Lecture 4. Climate change and the integrated coastal system. Wednesday 25 July 2007

  3. ESPA – Ecosystem Services for Poverty Alleviation NERC/DFID Partnership within Living with Environmental Change (LWEC) Lead by University of Southampton, With Oxford, Dundee, Exeter, UEA, BUET and 10 other groups in Bangladesh and IIT Kanpur in India Lecture 4. Climate change and the integrated coastal system. Wednesday 25 July 2007

  4. Set in the Delta Regions of Bangladesh addressing issues of Poverty Alleviation

  5. Key Questions and Motivation • How will future climate change and socio-economic change in the Ganga, Brahmaputra and Meghna basin impact flows and nutrient fluxes into the The Ganga-Brahmaputra Basin and GBM Delta Delta? • How can management and policy interventions reduce these impacts?

  6. Modelling Ganges, Brahmaputra and Meghna River Systems

  7. Integrated Catchment Model (INCA) (Hydrology, Nitrogen, Phosphorus, Sediments, Carbon, Metals and Ecology) • Can account for diffuse and point sources of pollution, land use change and climate change • Semi distributed and ssuccessfully applied to over 50 catchments (including catchments in Nepal) PLOT HILLSLOPE & SUBCATCHMENT CATCHMENT

  8. The INCA-N NITROGEN Model Process Pathways Source: P.G. Whitehead et al./The Science of the Total Environment 210/211 (1998) 547-558

  9. INCA P Model

  10. INCA reach divisions for Ganga basin Major Cities and Point Source Pollution Tributary confluence Sampling/monitoring point Effluent input/abstraction Reach Structure: Ganga Model Total 70 reaches Ganga – 21 reaches Yamuna – 10 reaches Other tributaries – 39 reaches 10

  11. Modelled Sub-Catchments in Ganga

  12. Detailed Land Use Mapping 26 classes aggregated into 6 classes for INCA (Based on NRSC, Hyderabad)

  13. UK Met Office GCM- RCM (25km grid- calibrated spatially and in time Met Office Hadley Centre HadRM3P RCM) Climate Realizations Q 0 – Moderately warmer/wetter Q 8 – warmer/drier Q 16 – warmer/wetter 13

  14. Climate Scenario Moderately warmer/wetter Temperature: Yearly average ( 0 C) 30 25 Ganges 20 Brahmaputra Temp Meghna 15 10 5 0 1960 1980 2000 2020 2040 2060 2080 2100 2120

  15. Climate Scenario Moderately warmer/wetter 16 Rainfall: Yearly average (mm/day) 14 12 10 Ganga mm/day 8 Brahmaputra 6 Meghna 4 2 0 1971 1981 1991 2001 2011 2021 2031 2041 2051 2061 2071 2081 2091 Year

  16. Time Series Inputs for INCA Model 1981-2000 (Daily time series data)

  17. INCA Reach Structure for the Ganges

  18. Model Calibration - flow gauges on the Ganga River system GA07 Garh GA04 Kachla GA05 Ankinghat GA06 Kanpur Hardinge Bridge Bangladesh

  19. Brahmaputra Simulation 1981-2000

  20. Calibration of N concentrations and Flux At Kanpur (Reach GA06) 0.8 80000 Observed N Load-Tonnes/Year 0.7 70000 0.6 60000 0.5 50000 Nitrate mg/L 40000 0.4 30000 0.3 Simulated Nitrate 20000 0.2 Observed 10000 0.1 Nitrate 0 0 0 20000 40000 60000 80000 Simulated N Load-Tonnes/Year Month 20

  21. Using INCA to Assess Environmental Change • Socio-Economic • Climate Realisations • Business as Usual • 3 selected from 17 RCM • More Sustainable simulations • Mid century 2041-2060 • Less Sustainable • End of Century • Population changes • 2080-2099 • Sewage treatment works capacity and design for water quality Q 0 – Moderately warmer/wetter control • Water demands for irrigation and Q 8 – warmer/not so wet public supply Q 16 – warmer/wetter • Atmospheric nitrogen deposition • Land use change • Water transfer plans

  22. Scenario Framework • IPCC Shared Socio-economic pathways (SSPs) SSP1 SSP2 SSP3 SSP4 SSP5 Sustainability Middle of the Road Regional Rivalry Inequality Fossil-fuelled Development Development SRES A1B (RCP4.5/6 -8.5) More Business as Less Sustainable Usual Sustainable Climate Change incl. sea level rise Moderately warmer/ 1 2 3 wetter Warmer/ 4 5 6 drier Warmer/ 7 8 9 wetter

  23. Scenario Analysis building on the IPCC 2014 SSP Strategy • Population changes • Sewage treatment works capacity and design for water quality control • Water demands for irrigation and public supply • Atmospheric nitrogen deposition • Land use change • Water transfer plans % change UNDP Population Centre Trends 120.0 (India) 100.0 More Sustainable - 80.0 low fertility 60.0 BaU - medium 40.0 fertility 20.0 Less Sustainable - 0.0 high fertility 2011 2021 2031 2041 2051 2061 2071 2081 2091 -20.0 -40.0 year

  24. Water Infrastructure Major Transfer Plans (River Interlinking project)

  25. Estimated Flows, Nitrate and Ammonia at Farakka Climate Scenario Q 0 Blue – 1990s Red – 2050s Green – 2090s Flow Nitrate Ammonium • No major shift in timing of monsoon season • Large Change in peak flows • Nitrate and Ammonia follow the dilution trend due to increased flows

  26. Effects of Different Climate Realisations in the Ganges at Farakka

  27. Effects of Socio-economics on Ganga Flow and Water Quality Blue – BaU; Red – MS; Green – LS; Dotted – baseline 1990s Flow Nitrate Ammonium • No major difference in flows (no major change in irrigation flows & water transfers simulated) • Large reduction in N and NO 3 under MS scenario – reflects improved effluent treatment, implications for river ecology and reduced nitrogen load into Bangladesh (similar results for P)

  28. Full GBM Results- baseline

  29. Assessing the impact of climate and socio-economic changes on flow and water quality in the Ganges-Brahmaputra-Meghna Basin 0.800 1981-2000 120000 GBM 1990s 0.700 2041-2060 GBM 2050s 100000 2080-2099 Nitrate mgN/l 0.600 GBM 2090s Flow m 3 /sec 80000 0.500 60000 0.400 40000 0.300 20000 0.200 0.100 0 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Month Month Change in Nitrate-N Monthly Concentrations for the Change in monthly flow for the SRES A1B scenario SRES A1B scenario for the 2050s and 2090s. for the 2050s and 2090s.

  30. Water Infrastructure Major Transfer Plans (River Interlinking project)

  31. Water transfer Scenarios • Impact of water transfers on flows is very significant • 22% reduction in peak flows for 2090s; 48% reduction in low flows for 2090s • => Large scale impact on delta ecosystem

  32. Impact of climate and socio-economic change (excluding dams and major water transfers) on low flows - number of days below Q80 (5700 m 3 /sec) showing increased drought periods in the 2090s Whitehead et al. (2015). Impacts of Climate Change and Socio-economic Scenarios on Flow and Water Quality of the Ganges, Brahmaputra and Meghna (GBM) River Systems: Low Flow and Flood Statistics . Environmental Science: Process & Impacts. (in press)

  33. What Next---Stakeholder driven process to evaluate management plans Scenarios Literature Narrative Baseline Stakeholder Integrated Scenarios for Model Bangladesh Quantitative Qualitative Socio/Environmental Adaptation Models Responses (e.g. coastal defence, irrigation Data projects, etc.) Climate iterative change learning loop Quantitative Qualitative Simulations Semi- S 1 , S 2 , …, S n

  34. Conclusions 1. INCA model simulates the spatial and temporal complexity of flows and N-flux (P and Sediments) in a large river system. 2. Significant climatic shift with increased temperatures and change precipitation could have significant impact on flows, increasing peak flows and more frequent droughts. 3. Socio Economic Changes could have a large effect on flows during droughts where increased irrigation will reduce low flows, plus impact of Water Transfers could be very significant in the GBM delta. 4. Clean up of the Ganga River will reduce Nitrogen (and Phosphorus) fluxes into Bangladesh. 5. Process based model of the GBM rivers can now be used to evaluate alternative policies in more detail (e.g. dam effects, different agricultural strategies, point source pollution, different Ganga Clean up strategies etc.).

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