Impact of recent floods on river morphology of Upper Krishna River: a decadal analysis using remote sensing approach

被引:0
作者
Choudhary, Preetam [1 ]
Azhoni, Adani [2 ]
Devatha, C. P. [1 ]
机构
[1] Natl Inst Technol Karnataka, Dept Civil Engn, Mangaluru 575025, Karnataka, India
[2] Natl Inst Technol, Dept Civil Engn, Imphal 795004, Manipur, India
关键词
Upper Krishna River; Geomorphology; GIS; Bank line migration; LULC; LAND-USE; CHANNEL; MIGRATION; DYNAMICS;
D O I
10.1007/s12665-024-11850-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Alluvial rivers are dynamic landscapes on the earth's surface that evolve with time. While many studies have examined the immediate effects of floods on river channels, there is a lack of research that investigates the longer-term evolution of river morphology following such events. The present study was carried out on the Upper Krishna River which flows between the southern part of Maharashtra and the northern part of Karnataka states in India for 375 Km. The morphological parameters were analyzed for three decades (1991-2021) and the year 2019 with the highest flood level was also considered for change analysis. The assessment was done for change in active channel area, mean width, bank line migration, sinuosity index, and erosion-accretion. The land use classification was also analyzed for the study period to understand the exposure to future floods. The spatial data was retrieved from different satellite missions and analyzed with the help of Remote Sensing (RS) and Geographical Information System (GIS). The river was divided into seven segments (R1, R2, R3, R4, R5, R6, and R7) and bank lines were digitised manually to minimise possible errors. The results show that during the study period, the river channel has been modified in terms of active channel area expansion in the R1, R5, R6, and R7, and erosion was found the dominating process while the left bank was more erosive than the right bank of the river. The built-up area was seen going through a major expansion than any other land use class. The discharge and sediment data confirm the flood years (1994, 2005, 2006, and 2019) which accelerated the morphological activity in the river segment. The results of the study provide new insights related to short-term morphological changes in the Upper Krishna River and can be used by policymakers and managers to carry out future development plans and river training work at affected sites.
引用
收藏
页数:18
相关论文
共 50 条
  • [21] Quantifying Spatio-Temporal River Morphological Change and Its Consequences in the Vietnamese Mekong River Delta Using Remote Sensing and Geographical Information System Techniques
    Vu, Thi Huong
    Binh, Doan Van
    Tran, Huan Ngoc
    Khan, Muhammad Adnan
    Bui, Duong Du
    Stamm, Juergen
    REMOTE SENSING, 2024, 16 (04)
  • [22] Analysis of planform changes of the lower reach of Gilgel Abay River Upper Blue Nile Basin, Ethiopia, using remote sensing and GIS
    Bogale Atile Abebe
    Asegdew Gashaw Mulat
    Applied Geomatics, 2021, 13 : 817 - 836
  • [23] Identification of Artificial Recharge Sites for Noyyal River Basin Using GIS and Remote Sensing
    A. Geetha Selvarani
    G. Maheswaran
    K. Elangovan
    Journal of the Indian Society of Remote Sensing, 2017, 45 : 67 - 77
  • [24] Changes in landuse and landcover along the Dhansiri River channel, Assam - A remote sensing and GIS approach
    Kotoky, P.
    Dutta, M. K.
    Borah, G. C.
    JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA, 2012, 79 (01) : 61 - 68
  • [25] Analysis of planform changes of the lower reach of Gilgel Abay River Upper Blue Nile Basin, Ethiopia, using remote sensing and GIS
    Abebe, Bogale Atile
    Mulat, Asegdew Gashaw
    APPLIED GEOMATICS, 2021, 13 (04) : 817 - 836
  • [26] Identification of Artificial Recharge Sites for Noyyal River Basin Using GIS and Remote Sensing
    Selvarani, A. Geetha
    Maheswaran, G.
    Elangovan, K.
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2017, 45 (01) : 67 - 77
  • [27] Changes in landuse and landcover along the Dhansiri River channel, Assam — A remote sensing and GIS approach
    P. Kotoky
    M. K. Dutta
    G. C. Borah
    Journal of the Geological Society of India, 2012, 79 : 61 - 68
  • [28] Analysis of land use change and its impact on channel morphology of Ginzo River Basin, Nigeria
    Kabir, Aminu
    Abdullah, Anisah Lee
    Ibrahim, Wan Mohd Muhiyuddin Wan
    INTERNATIONAL JOURNAL OF RIVER BASIN MANAGEMENT, 2024,
  • [29] Comparative Analysis of Groundwater Quality Index for Bhavani River Basin Using Remote Sensing and Statistical Analysis
    Ravichandran, Rahul
    Ayyavoo, Raviraj
    Rajangam, Lalitha
    Madasamy, Nagarajan
    Murugaiyan, Basker
    Shanmugam, Sumathi
    JORDAN JOURNAL OF CIVIL ENGINEERING, 2023, 17 (01) : 58 - 70
  • [30] Decoding Chambal River Shoreline Transformations: A Comprehensive Analysis Using Remote Sensing, GIS, and DSAS
    Singh, Saurabh
    Meraj, Gowhar
    Kumar, Pankaj
    Singh, Suraj Kumar
    Kanga, Shruti
    Johnson, Brian Alan
    Prajapat, Deepak Kumar
    Debnath, Jatan
    Sahariah, Dhrubajyoti
    WATER, 2023, 15 (09)