Glacial lake outburst flood risk assessment using remote sensing and hydrodynamic modeling: a case study of Satluj basin, Western Himalayas, India

被引:14
|
作者
Rawat, Manish [1 ]
Jain, Sanjay Kumar [2 ]
Ahmed, Rayees [3 ]
Lohani, Anil Kumar [4 ]
机构
[1] Indian Inst Technol Roorkee, Dept Water Resources Dev & Management, Roorkee 247664, India
[2] Natl Inst Hydrol, Water Resources Syst Div, Roorkee 247664, India
[3] Univ Kashmir, Sch Earth & Environm Sci, Dept Geog & Reg Dev, Srinagar 190006, India
[4] Natl Inst Hydrol, Surface Water Hydrol Div, Roorkee 247664, India
关键词
Glacier recession; Glacial lake expansion; GLOF susceptibility; Glacial lake outburst flooding (GLOFs); HEC-RAS; Western Himalaya-India; RIVER-BASIN; CORDILLERA BLANCA; HAZARD ASSESSMENT; 4; DECADES; EVOLUTION; INVENTORY; REGION; IMPACT; GLOF;
D O I
10.1007/s11356-023-25134-1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Glacier-associated hazards are becoming a common and serious challenge to the high mountainous regions of the world. Glacial lake outburst floods (GLOFs) are one of the most serious unanticipated glacier hazards, with the potential to release a huge amount of water and debris in a short span of time, resulting in the loss of lives, property, and severe damage to downstream valleys. The present study used multi-temporal Landsat and Google earth imageries to analyze the spatio-temporal dynamism of the selected glacial lake (moraine-dammed) in the Satluj basin of Western Himalayas. Furthermore, GLOF susceptibility of the lake was assessed using a multi-criteria decision-based method. The results show that the lake area has increased from 0.11 to 0.26 km(2) over the past 28 years from 1990 to 2018. The susceptibility index value for the lake was calculated as 0.75, which indicates that the lake is highly susceptible to the GLOF. The depth and volume of the lake were estimated to be 16 m and 57 x 10(5) m(3), respectively, using an empirical formula. HEC-RAS, HECGeo-RAS, and Arc-GIS software were utilized in this study to perform unsteady flow analysis and to determine the GLOF impact on the downstream area. The worst-case GLOF scenario (breach width of 75 m) was revealed during an overtopping failure of the moraine dam, resulted in a peak discharge of 4060 m(3)/s and releasing a total water volume of 57 x 10(5) m(3). The breach hydrograph has been routed to calculate the spatial and temporal distribution of peak flood, inundation depth, velocity, water surface elevation, and flood peak arrival time along the river channel. The analysis further reveals that the routed flood waves reach the nearest settlement, i.e., Rajpur town, situated at a distance of 102 km in the downstream valley of the lake at 6 h after the beginning of the lake breach event with a peak discharge/flood of 1757 m(3)/s and maximum flow velocity of 1.5 m/s. With the ongoing climate warming and glacier retreat, moraine-dammed lakes are becoming more hazardous and thus increasing the total threat. Therefore, it is mandatory to monitor and assess such lakes at regular intervals of time to lessen the disastrous impacts of GLOFs on the livelihood and infrastructure in the downstream valleys. The findings of this study will aid in the creation of risk management plans, preparatory tactics, and risk reduction techniques for GLOF hazards in the region.
引用
收藏
页码:41591 / 41608
页数:18
相关论文
共 50 条
  • [41] Correction to: Application of 1D and 2D hydrodynamic modeling to study glacial lake outburst flood (GLOF) and its impact on a hydropower station in Central Himalaya
    Ashim Sattar
    Ajanta Goswami
    Anil V. Kulkarni
    Natural Hazards, 2019, 98 : 817 - 817
  • [42] Flood risk assessment using multi-criteria analysis: a case study from Kopili River Basin, Assam, India
    Sharma, Shivaprasad S., V
    Roy, Parth Sarathi
    Chakravarthi, V
    Rao, Srinivasa
    GEOMATICS NATURAL HAZARDS & RISK, 2018, 9 (01) : 79 - 93
  • [43] Assessment and planning for integrated river basin management using remote sensing, SWAT model and morphometric analysis (case study: Kaddam river basin, India)
    Parupalli, Sridhar
    Kumari, K. Padma
    Ganapuram, Sreedhar
    GEOCARTO INTERNATIONAL, 2019, 34 (12) : 1332 - 1362
  • [44] Flood Risk Zoning by Using 2D Hydrodynamic Modeling: A Case Study in Jinan City
    Cheng, Tao
    Xu, Zongxue
    Hong, Siyang
    Song, Sulin
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2017, 2017
  • [45] A Probabilistic Statistical Risk Assessment Method for Soil Erosion Using Remote Sensing Data: A Case Study of the Dali River Basin
    Zhao, Hao
    Cheng, Yuhui
    Zhang, Xiwang
    Yu, Shiqi
    Chen, Mengwei
    Zhang, Chengqiang
    REMOTE SENSING, 2024, 16 (18)
  • [46] NATURAL RISK ASSESSMENT USING REMOTE SENSING DATA FOR CASE STUDY OF THERMOKARST HAZARD
    Victorov, Alexey
    Kapralova, Veronika
    Orlov, Timofey
    Trapeznikova, Olga
    GEOCONFERENCE ON SCIENCE AND TECHNOLOGIES IN GEOLOGY, EXPLORATION AND MINING, SGEM 2014, VOL II, 2014, : 635 - 641
  • [47] Modeling the Risk Reduction Benefit of Forest Management Using a Case Study in the Lake Tahoe Basin
    Evans, Samuel G.
    Holland, Tim G.
    Long, Jonathan W.
    Maxwell, Charles
    Scheller, Robert M.
    Patrick, Evan
    Potts, Matthew D.
    ECOLOGY AND SOCIETY, 2022, 27 (02):
  • [48] GIS and remote sensing techniques for the assessment of land use change impact on flood hydrology: the case study of Yialias basin in Cyprus
    Alexakis, D. D.
    Grillakis, M. G.
    Koutroulis, A. G.
    Agapiou, A.
    Themistocleous, K.
    Tsanis, I. K.
    Michaelides, S.
    Pashiardis, S.
    Demetriou, C.
    Aristeidou, K.
    Retalis, A.
    Tymvios, F.
    Hadjimitsis, D. G.
    NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2014, 14 (02) : 413 - 426
  • [49] Predicting ecosystem shift in a Salt Lake by using remote sensing indicators and spatial statistics methods (case study: Lake Urmia basin)
    Tehrani, Nadia Abbaszadeh
    Janalipour, Milad
    ENVIRONMENTAL ENGINEERING RESEARCH, 2021, 26 (04)
  • [50] Assessment of soil erosion by RUSLE model using remote sensing and GIS - A case study of Nethravathi Basin
    Ganasri, B. P.
    Ramesh, H.
    GEOSCIENCE FRONTIERS, 2016, 7 (06) : 953 - 961