Estimating Environmental Flows (EFlow) in India - Prof. Ramakar Jha, Ph.D. Professor, Department of Civil Engineering National Institute of ...
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Estimating Environmental Flows (EFlow) in India Prof. Ramakar Jha, Ph.D. Professor, Department of Civil Engineering National Institute of Technology Rourkela INDIA rjha43@gmail.com Cell: +91 9439107366
ENVIRONMENTAL FLOWS – WHERE ARE THEY? Potentially utilizable water (for agriculture, industry etc) Total resource capacity, e.g. “natural” Mean Annual Runoff (MAR) Total volume of ENVIRONMENTAL FLOW REQUIREMENTS E.Rapti (Nepal), Rajaya, 560 km2 120 • To take flow variability into account, the 100 total EFR is assumed to be made of two Quickflow requirements - one for low flow and one Discharge, m3/s 80 for high flow: 60 40 EFR = Low Flow Requirement (LFR) + 20 High Flow Requirement (HFR 0 Baseflow 0 50 100 150 200 250 300 350 Days since 1 January, 1991 baseflow total flow
Large River systems • Sustain civilizations (past, present) and biodiversity • One of the most important natural resources for the future of human societies Large Rivers Main plumbing of the continents Source: Indian Today, Jan 26, 1998 Multidisciplinary River science necessary for monitoring and managing river futures Tandon & Sinha (2007)
‘Command & Control’ approach: (mis)management Reoccupied old channel Himalaya 120 km Megafan surface Kosi River system (Source: NASA) The purposeless bridges in Bihar, India Baghmati River Baghmati River
Hydro-Geomorphology - Ecology Bridge Solutions in ESS are hindered “by a general failure to adequately stir existing ingredients together” (Harte, 2002). Geomorphology Ecology (Processes- (Darwinian Gravitational potential Newtonian Approach) Rainfall (Water) Approach) Evolutionary Processes Resources Scale, Hierarchy, Connectivity, Variability & Complexity GP RCC (1980) FPC FPZ RES (2006) Lg Lt V River science - requires multidisciplinary & Hydrology holistic understanding Discharge, Sediment Load
Riverine Ecosystem Synthesis River science Riverine ecosystem synthesis Fluvial Lotic ecology Landscape ecology Geomorphology • River continuum concept • Patch dynamics (RCC) • Process domains • Hierarchy theory (stream power) • Flood pulse concept (FPC) • River hierarchy • Functional Process zone (scale) (FPZ) • River networks • River Ecosystem synthesis [(Dis)connectivity] (RES) Riverscape Modified after Thorp, et al., 2008
Ganga Riverscape Riverscape – river, its catchment including natural and cultural attributes and its interactions Idealised view of riverscape High resolution Vegetation-hydraulic relationship 0 km 2 Modified after Stanford, 2006 Stanford, 2006 Flathead R, Montana
Riverine landscape & functional process zones (FPZs) (Thorp, et al., 2008) Riverine Continuum Concept (Vannote et al., 1980; Craig, 2002)
Large River systems Ganga Dispersal System in the Himalayan Foreland Basin (HFB) Bridging Physical-Biological aspects • Parameters Himalaya/Tibet – Drainage area (A) – 800, I 000 km2 – River Length (Lr) – 2500 G km B – Average annual discharge (Q)- 7500 m3/s Tidal – Annual suspended & dissolved load – 100 mt Limit • Landscape diversity & multicausality SW Indian Monsoon Plate (Hovius, 1998; Motion Tandon & Sinha, 2007) I – Indus R, G – Ganga R, B – Brahmaputra R
Morphological diversity Expression of geodiversity at landscape scale resulting from water & sediment Patna dispersal variability Fan-Interfan systems (Eastern Ganga plains) (modified after Geddes, 1960; Ganga Sinha and Friend, 1994) Valley Interfluve (plains-fed Rivers) Valley-Interfluve Yamuna System Valley (Western Ganga plains) Cratonic rivers & badlands (Sinha et al., 2005)
Geomorphic diversity in the Ganga system: causative factors Tectonic +Climate Stream power Unit Stream Power (Bankfull discharge) = .Q.S/w Consequences: Ganga(Garh) Unit stream power (Mean annual flood) • Complex spatial response of rivers Yamuna (Delhi) Ganga (Hardwar) Ghaghra (Zalimnagar) 45 Ganga (Allahabad • Stream power variable ( water & Unit Stream Power (W/sq. m) 40 Ganga (Patna) sediment discharge, slope) 35 • Changes river’s equilibrium profile Ganga (Kanpur) Baghmati(Dheng) 30 Incision / Aggradation Baghmati (Hayaghat) 25 Rapti Kosi (Baltara) 20 Sediment Output Variability Kosi (Kursela) 6.0 15 West WestGanga plains Plains Ganga Sediment Yield (x1000t/sq km/yr) 10 Rapti-Ghaghara Rapti-Ghaghra System system 5 East East Ganga Ganga plains Plains 0 WGP EGP 4.0 (Sinha et al., 2005) 2.0 0.0 Discharge Locations 0 200 400 600 Sed Yield Locations Drainage basin area (sq km) (Sinha et al., 2005)
Geomorphology-Ecology relationship in the Ganga plains: implications for E-flows • E-flow: how much water is required to protect and conserve river function • Geomorphological perspective: Water allocation is necessary to maintain structure and function of the river • Biological perspective: maintain individuals, populations, communities and ecosystem processes Multi-scale interactions Interdisciplinary framework: among biota, physical requires linking changes in river structure and hydrological discharge with geomorphologic and processes ecological processes
River ecosystems Hierarchy Connectivity Scale Spatial Temporal Nested levels of Organisation Scale & Hierarchy RELATIONSHIP in a river system OF LEVEL TO THE GRAIN (Thorp et al., 2008) AND EXTENT OF SCALE Pattern variation at different scales (After Rice et al., 2001)
Landscape classes & connectivity Landscape Connectivity Longitudinal Connectivity The way in which different Himalayan Himalayan landscape compartments fit together in the catchment Hinterland Hinterland (Brierley, et al., 2005) Longitudinal connectivity WGP EGP LGP Lateral connectivity Vertical connectivity Cratonic Cratonic Bay of Why is it important? Hinterland Hinterland Bengal Movement of biophysical fluxes in the dispersal system Connectivity shapes the operation of geomorphic processes over a range of spatial and temporal scale To predict future landscape Lateral connectivity trajectories
• Floodplains are important ecotones (transitional areas) that regulate interactions in rivers • Lateral connection between main river and floodplains – Exchange of carbon and nutrients – Influenced by magnitude, frequency and duration of flooding • Hydrological fragmentation – reduction or elimination of connections between patches in a landscape Implications for E-flows: Restore • Landuse changes in floodplains flooding of large areas of – Change in ‘reactive floodplain surface floodplains, for longer period and area’ with strategic timing
Hydropower Plan Conservation Plan Spawning habitat Headwater habitat Floodplain Existing dam fishery Proposed dam Priority conservation river segment Source: TNC
Lack of integrated planning Projects in areas of conservation concern carry a heavy mitigation load Dam operations constrained by environmental flow regime Source: TNC
Hydropower Plan Cross-compare Scenarios Conservation Plan Existing dam Proposed dam Priority conservation river segment Source: TNC
Cross-compare Scenarios Locate additional dams on already Locate areas of conflict developed segment and eliminate conflicting dam Existing dam Proposed dam Priority conservation river segment Operations of total Locate alternative cascade is less conservation segment constrained by with similar environmental flow ecosystem values requirements Evaluate Results: Modify downstream dam operations to re- -Similar ecosystem values? regulate flows to -Similar hydropower outputs? improve flow regime in flood-plain conservation area Source: TNC
Penobscot River Restoration The Nature Conservancy US Army Corps of Engineers Energy Piscataquis River Fisheries Penobscot River Howland Medway Dam West Enfield Dam (expanded) Existing Fish Passage Howland Dam West Enfield Dam Decommission / Innovative Fish Bypass Penobscot River Milford Dam Milford Dam New Upstream Fish Passage 0 Stillwater Dam Great Works Dam Indian Island Decommission / (expanded) Removal Stillwater River Old Town Orono Dam Veazie Dam Decommission / (added) Orono Removal Ellsworth Dam (Union River) Bangor Penobscot River
Montana or Tennant Method Narrative description of Recommended flow Recommended flow general condition of regimens (% of MAF) regimens (% of MAF) flow October to March April to September Flushing or maximum 200% 200% Optimum range 60-100% 60-100% Outstanding 40% 60% Excellent 30% 50% Good 20% 40% Fair or degrading 10% 30% Poor or minimum 10% 10% Severe degradation
Flow Duration Curve Analysis
The 7Q10 Flow • Construct flow duration curve of each water year by plotting and arranging the daily discharge values in descending order. • After construction of FDC for each year, read values of daily discharge at every 5% probability of exceedance. • Make separate table for each year Discharge Vs Probability of exceeedance. • Rank in ascending order of the discharge values read from each flow duration curve of a given N year term.
m • P n 1 100 Calculate the plotting position with the following Weibull plotting formula, select the type probability paper to be used, and plot the data on the probability paper • (1) • where, P is the probability of all events less than or equal to each discharge value, m is the rank of the event, and n is the number of events on record. • Now, The flow duration curve for various recurrence year are developed by using the distribution characteristics of a set of probability plots of stream now calculated by the Weibull plotting formula at suitable time intervals from 0 to 100 percent on the time axis. • Visually fit a straight line through the estimated values.
• Using straight line equation, get the discharge value down from the best fit line at the chosen probability value for various return period (1 year, 2 year, 5 year, 10 year, 20 year, 50 year and 100 year). • Repeat steps 3 to 6 at suitable time intervals from 0 to 100 percent of the time axis ( in the present case it is taken at every 5%). • The developed FDC were used to evaluate the severity of high, ordinary, and low flow regimes of Brahmani- Baitarani River Systems. • The developed FDC were used to evaluate the severity of high, ordinary, and low flow regimes of Brahmani- Baitarani River Systems. • Plot probability daily discharge values read at suitable intervals and draw a smooth FDC of return period of 1 year, 2 year, 5 year, 10 year, 20 year, 50 year and 100 year.
Range of Variability analysis
Holistic Models • MAINTENANCE OF AQUATIC LIFE • STREAM SELF-PURIFICATION AND WATER QUALITY IMPROVEMENT • SEDIMENT TRANSPORTATION AND FLUSHING • CHANNEL SEEPAGE • CHANNEL EVAPORATION
Figure 1: Brahmani River system in Orissa, India
Figure 2: Daily discharge of sampling stations in the Brahmani River system
Table 1: Availability of data in the Brahmani River system River Hydrological Water Ecological Ancillary system (rainfall, flow quality data data /Sampling and data station groundwater) data Tilga 1980-2003 1990-2003 2004-2005 Soil maps, land use Panposh 1989-2003 1990-2003 2004-2005 maps, Gomlai 1980-2003 1990-2003 2004-2005 contour maps, Samal 1980-1994 1990-2003 2004-2005 drainage Talcher 1985-1996 1990-2003 2004-2005 maps and were Jenapur 1980-2003 1990-2003 2004-2005 obtained.
MAINTENANCE OF AQUATIC LIFE
THE METHODOLOGY Based On: • A Flow Time Series at a site which reflects ‘natural’ or unregulated flow variability (observed or simulated) • ‘A period of record Flow Duration Curve (FDC)’ represented by 17 percentage points • developed by Smakhtin and Anputhas in 2006
Flow duration curves (FDC) technique, were tested and applied to estimate 7- day 10-year flow (7Q10) FDC in Brahmani River. • • The Brahmani basin is dominated by a humid sub- tropical monsoon climate, low-flow episodes of sufficient severity usually do not last for long periods during the dry season (March-June). Practically, a 7-day low flow better represents the drought conditions of concern and can be used more effectively in water management (Jha et al. 2008). • Smakhtin (2001) concluded that a 7-day period which eliminates day-to-day variations of river flow is less sensitive to measurement errors, which offer credence to the applicability of the 7-day 10-year flow (7Q10) FDC approach in the present work. • The 7Q10 FDC method is the most widely used index in the USA, UK and several other countries
Table 2: Results of flow indices in the Brahmani River system Flow Tilga Gomlai Jenapur indices Flow rate Flow Flow rate Flow Flow rate Flow (m3/sec) Volume (m3/sec) Volume (m3/sec) Volume (Mcum) (Mcum) (Mcum) Q17 63.5 2002.54 340.0 10722.24 610.0 19237.00 Q40 14.1 444.66 46.9 1479.04 107.0 3374.35 Q50 7.3 230.21 30.5 961.85 66.5 2097.14 Q80 1.3 41.00 12.9 406.81 20.3 640.18 Q90 0.8 25.23 10.3 324.80 16.5 520.35 Q95 0.0 0.0 9.3 293.28 12.2 384.74
7Q10 -FDC at Different Station 10000 Tilga Gomlai Jenapur 1000 Flow in cumec 100 10 1 0 20 40 60 80 100 120 0.1 % time exceedance Figure 3: 7Q10 –FDC at different sampling stations of Brahmani River
Pre-and Post-Dam effect 2000 Pre-Dam flow 1800 Post-Dam flow 1600 Mean monthly flow (Cumec) 1400 1200 1000 800 600 400 200 0 November December March June October September May July January February April August Month Figure 4: Mean monthly flow (pre- and post-Dam construction) at Jenapur
Minim um flow s 160 1-day m in 7-day m in 140 120 100 Flow in Cumec 80 60 40 20 0 1975 1980 1985 1990 1995 2000 2005 Year Figure 5: 1-day and 7-day minimum flows at Jenapur
STREAM SELF PURIFICATION AND WATER QUALITY IMPROVEMENT
Comparing measured values with the environmental quality standard value, it is found that nine kinds of main pollutants are dominant at all the gauging stations in Brahmani River. They are Bio-chemical Oxygen Demand (BOD5), Dissolved Oxygen (DO), Nitrate (NO3), ortho-Phosphate (o-PO3), Sulphate (SO4), Potassium (K), Chromium (Cr), Aluminum (Al) and Iron (Fe),. To assess the self purification capacity of Brahmani River, the study was carried out in two phases.
Tilga Tilga Gom lai 12 250 10 Conductivity DO BOD DO BOD 9 Conductivity in micromho/cm 10 200 8 BOD-DO in mg / l BOD-DO in mg/l 7 8 150 6 6 5 100 4 4 3 50 2 2 1 0 0 0 0.1 1 10 100 1000 0.1 1 10 100 1000 1 10 100 1000 10000 Flow in cum ec Flow in cum ec Flow in cum ec Gom lai Jenapur Jenapur 450 10 200 Conductivity Conductivity 400 9 DO BOD 180 Conductivity in microhom/cm Conductivity in micromho/cm 350 8 160 BOD-DO in mg / l 300 7 140 250 6 120 200 5 100 4 80 150 3 60 100 2 40 50 1 20 0 0 0 1 10 100 1000 10000 1 10 100 1000 10000 1 10 100 1000 10000 Flow in cum ec Flow in cum ec Flow in cum ec Figure 6: Flow Vs Water Quality at two Tilga, Gomlai and Jenapur
Table 3: EWD for improvement of water quality and self purification capacity in different reaches of Brahmani River Sampling EWD for self purification capacity and station water quality improvement Class-B to Class-A Class-C to Class -A Flow rate Flow Flow rate Flow Volume (m3/sec) Volume (m3/sec) (Mcum) (Mcum) Up to Tilga 1.5 47.30 3.0 94.61 Tilga- 19.2 605.49 28.5 898.78 Gomlai Gomlai- 27.8 876.70 40.1 1264.59 Jenapur
SEDIMENT TRANSPORTATION AND FLUSHING
• In this study, based on the analysis of river load movement (Song et al. 2006), it is pointed out that EWD should be required to maintain a balanced state of erosion and deposition. Considering a river reach, the main factors that influence sediment erosion and deposition include sediment concentration from the upper reach, sediment transporting capacity and boundary condition (e.g., gradient) characteristics (Liu et al. 2002a).
Flow Vs Sediment (total) concentration at Tilga Relationship among sediment concentrations at Tilga Flow Vs Sediment (total) concentration at Gomlai 10 10 10 (Coarse+Medium ) Coarse, medium and find sediment Fine sedim ent concentration (grams/litre /day) Sediment concentration Sediment concentration 1 1 (grams/litre/day) 1 (grams/litre/day) 0.1 0.1 0.1 0.01 0.01 0.01 0.001 0.001 0.01 0.1 1 10 100 1000 10000 0.001 0.01 0.1 1 10 1 10 100 1000 10000 100000 Flow in cumec Total sediment concentration (grams/litre/day) Flow in cumec Relationship among sediment concentrations at Gomlai Relationship among sediment concentrations at Jenapur Flow Vs Sediment (total) concentration at Jenapur 10 10 10 (Coarse+Medium ) (Coarse+Medium ) Fine sedim ent Fine sedim ent Coarse, medium and find sediment Coarse, medium and find sediment concentration (grams/litre /day) concentration (grams/litre /day) Sediment concentration 1 1 1 (grams/litre/day) 0.1 0.1 0.1 0.01 0.01 0.01 0.001 0.001 0.001 1 10 100 1000 10000 100000 0.001 0.01 0.1 1 10 0.001 0.01 0.1 1 10 Flow in cumec Total sediment concentration (grams/litre/day) Total sediment concentration (grams/litre/day) Figure 7: Flow and sediment concentrations (Coarse, Medium, Fine) relationship
Table 4: EWD for sediment transport and flushing Station Average Sediment EWD for sediment sediment yield transport and flushing transport (Kg/sec) capacity Flow rate Flow (Kg/m3) (m3/sec) Volume (Mcum) up to Tilga 0.6 77 128.60 4055.53 Tilga-Gomlai 0.37 280 749.14 23624.88 Gomlai- 0.26 276 1062.20 33497.54 Jenapur
SEEPAGE LOSSES
• For the part of Brahmani River in upper reaches, ground water has been exploited and part of which comes from in-stream flow. This amount of water can be regarded as EWD for channel seepage and can be estimated by Darcy’s law
Table 5: EWD for seepage losses Station Hydraulic Hydrauli Cross- EWD for Seepage conductiv c section losses ity gradient al area Flow rate Flow (m/sec) of (m3/sec) Volume stream (Mcum) (m2) up to Tilga 0.3 0.02 62 0.62 11.73 Tilga-Gomlai 0.1 0.01 130 0.16 4.1 Gomlai- 0.1 0.005 320 0.16 5.05 Jenapur
EVAPORATION LOSSES
• EWD for channel evaporation was determined estimated by the formula given by Song et al., 2006
Table 6: EWD for evaporation losses Station Averag Length Channel Time EWD for e width from evaporat (sec) evaporation losses of upper ion surface reach to capacity Flow rate Flow water lower (mm) (m3/sec) Volu (m) reach me (Km) (Mcu m) up to 10 115 0.10 420 0.27 6.51 Tilga Tilga- 25 125 0.10 480 0.65 20.50 Gomlai Gomlai- 50 110 0.10 480 1.04 32.79 Jenapur
COMPUTATION OF TOTAL ENVIRONMENTAL WATER DEMAND EWDtotal MaxEWDaquatic, EWDwaterqquality, EWDsediment EWDseepage EWDevaporation
Table 7: Volume of EWD required for different purposes Station Up to Tilga Tilga- EWD total Gomlai EWD aquatic (Mcum/year) 25.23 324.82 520.34 (1.07%MAF) (2.38%MAF (2.51%MAF) ) EWD water quality 94.61 898.78 1264.59 (Mcum/year) (3.99%MAF) (6.59%MAF (6.1%MAF) ) EWD sediment (Mcum/year) 4055.53 23624.88 33497.54 & (171.23%M (173.14%M (161.64%MA EWD sediment AF) AF) F) (Mcum/month) 333.33 1941.77 2753.22 (14.07%MA (14.23%M (13.29%MAF F) AF) ) EWD seepage (Mcum/year) 11.73 4.1 5.05 (0.83%MAF) (0.09%MAF (0.05%MAF) ) EWD evaporation 6.51 20.50 32.79 (Mcum/year) (0.55%MAF) (0.23%MAF (0.26%MAF)
Thank you Prof. Ramakar Jha, Ph.D. Professor, Department of Civil Engineering NIT Rourkela, Orissa rjha43@gmail.com Cell: +91 9439107366
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