Assessment of Glacial Lake outburst floods in Tawang Basin ISPRS TC VIII Mid-Term Symposium 2014 Operational Remote Sensing Applications: Opportunities, Progress and Challenges” December 9-12, 2014 Presented By, Hyderabad, India Rupasree Panda KIIT UNIVERSITY Rupasree Panda a, Suman Kumar Padhee b, Subashisa Dutta c GLOF in General: • In the Himalayan region, major rivers are originating from glaciers. • Rapid retreat of glaciers creates many precarious glacial lakes in the Himalayan region • The lakes located at the snout of the glacier are mainly dammed by the lateral or end moraine. Thus forms a moraine-dammed glacial lake, typically narrow and high reducing structural strength is formed. • Breaching and the instantaneous discharge of water from such lakes causes catastrophic downstream flash flooding, GLOF enough to create enormous damage in the downstream areas. • GLOF have direct impact on the commissioned hydropower projects and the population living in the downstream area. Possible triggers and causes for GLOF: Study Area and data used: Tawang Region Geographical area 3447 km2 Main river line Tawang chu Tributaries Nyukcharong chu Mago chu • • • • Landsat-8 medium to high resolution multispectral scenes , (OLI, TIRS,Maximum cloud cover of 9 %) SRTM DEM (Shuttle Radar Topographic Mission Digital Elevation Model) Google Earth scenes. Field survey: ─ Cross section data was accessed mainly at the proposed HEP sites and some distance up to the accessible upstream. METHODOLOGY • All the images were brought to a common coordinate system i.e. UTM zone 46N. • OLI bands (1-7) were converted from DN to reflectance and TIRS bands (10 and 11) were converted from DN to radiance and then radiance to brightness temperature. Methodology (contd.): Identification of Glacial Lake Methodology (contd.): Vulnerability Analysis • Categorization by:• Area: Larger area means more volume of water it will hold which will evolve into high discharge at the downstream. • Slope: Gentle slope >> lower depletion of snow cover Moderate slope >> faster depletion of snow cover • Stream Order: Ordering of the stream is based on the degree of branching. • Proximity: It is possible that a lake is not located on a stream, yet its proximity to a stream might make it vulnerable, so buffer of 500 m was analysed. • Elevation: More prone to receive water from glacier retreat. • OVERALL: Sum of weights of all the attributes Methodology (contd.): GLOF Simulation: DAM BREAK model in HEC-RAS Input Data and Model Setup: • Glacial Lake depth and volume calculated from empirical relationship related to area of the lake. • Cross-sections of river from dam site (containing lake) up to location downstream of the dam to which the study is required. • Elevation-volume relationship. • Manning’s roughness coefficient for different reaches of the river. Upstream Boundary The Lake has been represented in the model by elevationcumulative volume relationship. An initial inflow was given to run the model. Downstream Boundary The normal depth has been used as the downstream boundary for the model setup Estimation of GLOF • Suitable breach parameter for GLOF was accessed using DAM-BREAK simulation. • The dynamic routing given by Barre De Saint Venant ,1871 as i) Conservation of Mass (Continuity) Equation (∂Q/∂X) +∂ (A+ A0) / ∂t -q =0 ii) Conservation of Momentum Equation (∂Q/∂t)+ {∂ (Q2/A)/∂X} + g A ((∂h/∂X) +Sf +Sc) =0 • Input Data: Lake Volume and depth: From International centre for Integrated mountain development (ICIMOD) for various kinds of lakes and Chrstian Huggels formula especially for moraine dammed lakes of the Himalaya. Manning’s roughness coefficient=0.055 and 0.06 Cirque lake - 10 m Lateral moraine lake - 20 m Trough valley lake – 25m Moraine lake- 30 m Blocking lake and glacier erosion lake- 40 m D 0.140 A0.42 V 0.140 A1.42 Breach Parameters for GLOF simulation: Breach Parameters for GLOF Simulation • The breach characteristics input to dam break models are i) Final bottom width of the breach, ii) Final bottom elevation of the breach, iii) Left and right side slope of the breaching section iv) Full formation time of breach, and v) Reservoir level at time of start of breach. B = 2 to 4 hw Federal Energy Regulatory Commission (FERC) 1987: tf = 0.1 to 1 hr Where, B = Average breach width in meters; tf = failure time in hours. B = 2.5 hw + Cb Von Thun and Gillelte formula (1990): tf = B / 4hw for erosion resistant Where, Cb = 18.3 for reservoir storage between =B/(4hw + 61) for highly erodible 1.23 MCM to 6.17 MCM hw = height of water above breach invert at failure Froehlich’s formula (1995 b): hb= height of breach (m) K0= 1.4 for overtopping and 1.0 for piping B 0.1803K oVw0.32 hw0.19 14 Delineated Watershed Contd... Catchment area of the rivers up to the project sites: Nyukcharong Chu 2007 km2 Mago Chu 830 km2 Delineated watersheds of Nyukcharong Chu and Mago Chu. Use of NDWI for Delineating Water Features NDWI using NIR and Green bands (Green- NIR / Green+ NIR), which gives potential water layer (level 1), as shown in figure below: The main aim was to obtain the most precise delineation of lakes with some ice on water and turbid lakes with minimum misinterpretation error. NDWI representing potential water layer (level 1) Object Based Approach for Distinguishing Snow Region and No Snow Region Spectral Test: NDSI> 0.15,Brightness Temperature < 3.8, Band5 > 0.11 and Band 3 > 0.1) potential snow layer in ERDAS Imagine 9.2 model maker Potential Snow Layer Potential Snow Layer Map Extraction of No Snow area from total watershed was done using Arc-GIS. Supervised Classified Map For Identification of Various Spectral Classes Output from maximum likelihood type supervised classification of FCC (5, 6, 4) for the study area Water Layer Extracted Out from Supervised Classified Image from the supervised classification of FCC (5,6,4), it can be seen that hill shadow creates illusion with the lakes/water body Result from Combination of Above Described Approaches Potential water layer (Level 2) of the study area. Final Potential Water Layer (Level 3) Final potential water layer (level 3) •Intersection of Potential water layer (Level 2) and Water layer that was extracted from classified Image, is the final potential water layer (level 3) •Potential water layer (level 3) was overlaid to Google earth for identification of lake location accurately. •Identified lakes were then digitized on Google earth to get the surface area. Identified Lakes (37)in the Study Area (Surface area>0.1km2) Vulnerability Analysis • Nyukcharong Chu stream originates from a large lake having an area approximately 22.66 km2. The lake appears to have a permanent outlet in the river Nyukcharong Chu. Thus, there are very rare chances of a GLOF event from this lake. Hence, this lake is also not considered for further study. • Remaining 36 lakes have been selected for further analysis for assessing the potential of causing GLOF. The parameters considered for analysis are: Range of parameters for the identified Lakes: Area 0.1 km2 to 2.354 km2 Slope 0.6% to 44.1% Stream Order 1 to 4 Proximity 500m buffer Elevation Lake centre elevation Vulnerable Lakes • The lakes classified as ‘Not vulnerable or ‘low vulnerability’ do not require any further study. However the lakes having ‘Medium vulnerability ‘high vulnerability’ must be analysed further for GLOF. • There are 5 lakes which show ‘Medium vulnerability’. These lakes are more prone to glacial outburst flood due to their geographical settings. • The remaining 2 lakes, one is in Nyukcharong Chu catchment (Lake ID-7) and other in Mago Chu catchment (Lake ID-20) was taken for further GLOF analysis. Assessment of GLOF hydrograph at HEP site • GLOF hydrograph takes 2 hr to reach from Lake site to Mago chu HEP site and 1 hr 10 min to nyukcharong chu barrage site Figure 1: Routed Hydrograph from the Lake ID-7 to Barrage Site Hydraulic Parameters along the Nyukcharong Chu Reach Monsoon( 40cumec): 1.5m/sec GLOF (2453cumec) :9m/sec Monsoon : Mixed Flow GLOF :Mixed Flow Velocity Variation along the Nyukcharong Chu Reach Froude Number Variation along the Nyukcharong Chu Reach Stream Power Variation along the Nyukcharong Chu Reach Shear Stress Variation along the Nyukcharong Chu Reach Hydraulic Parameters : Nyukcharong and Mago Chu Reach Hydraulic Depth Variation along the Nyukcharong Chu Reach Hydraulic Depth Variation along the Mago Chu Reach Top Width Variation along the Nyukcharong Chu Reach Top Width Variation along the Mago Chu Reach (contd..) Hydraulic Parameters along the Mago Chu Reach Monsoon( 50cumec): 1.2m/sec GLOF (2125cumec) :5m/sec Monsoon: Sub critical GLOF : Mixed Flow Velocity Variation along the Mago Chu Reach Froude Number Variation along the Mago Chu Reach Stream Power Variation along the Mago Chu Reach Shear Stress Variation along the Mago Chu Reach 29 CONCLUSIONS Satellite imagery Empirical Formula Area and Geographical Setting Depth and Volume of lake Critical breach parameter (B, Tf) Dam Break Model Setup Here HEP are designed for 100yr Flood GLOF discharge >> 100yr flood Factor of safety , Modify the design discharge GLOF peak at Lake site Hydrodynamic Routing GLOF peak at project Site and travel time estimation along the reach GLOF Impact on Hydropower Project Site • Instead of adopting conventional reservoir based hydropower projects, a run-of-river environmental friendly project needs to be employed for reducing the impact of GLOFs. • Machine operated gated structures, that to be regularly operated, in the (half an hour basic) should be planned. • Gated structures with little ponding will also be a good substitute of traditional Hydro dams. In such scheme, the normal course of the river will remain un-altered. • Run-of-River project should put debris removal structures. References • • • • • • • • Bajracharya, B., Shrestha, A.B., Rajbhandari, L. (2007)."Glacial Lake Outburst Floods in the Sangarmatha Region"International Mountain Society, Vol.27 (4):336-344. Bolch, T., Kamp, U. (2006)."Glacier Mapping in High Mountains Using DEM's, Landsat and ASTER Data" proceeding of 8th International symposium on High Mountain Remote Sensing Cartography. Bolch, T., Peters, J., Yegorov, A., Pradhan, B., Buchroither, M., Balagoveshcensky, V.(2011)."Identification of potentially dangerous glacial lakes in the northern Tien Shan" Springer Science +Business Media B.V.,Net Hazards, 59:1691-1714. Claguea. J., Evans.S.G., (2000). A review of catastrophic drainage of moraine-dammed lakes in British Columbia. Quat. Sci. Rev. 19, 1763-1783. Dahms S. H. (2006) “Moraine dam failures and glacial lake outburst floods” Huggel C, kaab A, Haeberli W., Teysseire P, Paul F. (2002) Remote sening based assessment of hazards from glacier lakeoutbrusts: a case study in the Swiss Apls. Can Geotech J 2002;39(2):316-30. Huggel, C; Haeberli, W; Kääb, A; Bieri, D; Richardson, S (2004) ‘An assessment procedure for glacial hazards in the Swiss AlpsCanadian Geotechnical Journal 41: 1068-1083. Integrated Mountain Development (ICIMOD), Mountain Environment and Natural Resounformation Systems (2001) “Inventory of Glaciers, Glacial Lakes and Glacial Lake outbFloods, Monitoring and Early Warning Systems in Hindu Kush-Ht imalayan Region 32 Bhutan”. 33
© Copyright 2024