Remote sensing based innovative solution of river morphology for better flood management

被引:3
|
作者
Chohan, Khurram [1 ,2 ]
Ahmad, Sajid Rashid [1 ]
Ashraf, Ather [1 ]
Kamran, Muhammad [1 ]
Rasheed, Rizwan [1 ,3 ]
机构
[1] Univ Punjab, Coll Earth & Environm Sci CEES, Lahore, Punjab, Pakistan
[2] GC Univ Lahore, Dept Geog, Lahore, Pakistan
[3] GC Univ Lahore, Sustainable Dev Studies Ctr SDSC, Lahore, Pakistan
关键词
River morphology; Remote sensing; Ponding effect; Disaster management; SEDIMENT TRANSPORT; CHANNEL; MECHANISM; CHUTE; BASIN; INDIA;
D O I
10.1016/j.jag.2022.102845
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Land and existing resources in the riparian zone of the river are largely affected by the changing morphology. An efficient and sustainable disaster management and planning could not be possible without the knowledge of river morphology. The present study employed GIS&RS based approach to investigate river morphology of Chenab River from headworks Qadirabad to Talibwala Bridge. The study area is divided into seven sections based upon the heuristic approach. Temporal Statistics have revealed that the reach faced abrupt changes at sections 1, 2, 3 and 6 after 1979 due to high flood. The sinuosity of the reach ranges between 1.01 minimum to 1.57 maximum. Identified critical sections has highlighted the abrupt changes observed in the river with reference to the 1952 condition as base line of the river. Abrupt changes in the sinuosity index have indicated that the river topography is incised by the widening, shifting and migration of channels. Section-wise sinuosity and migration of the channels could help to the disaster managers to understand future planning and sustainable river training works. This research also provides basis for the feasibility study of storage dam at Chiniot which is being planned downstream to Talibwala Bridge on Chenab River.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Orbital SAR remote sensing of a river flood wave
    Brakenridge, GR
    Tracy, BT
    Knox, JC
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 1998, 19 (07) : 1439 - 1445
  • [2] Orbital SAR remote sensing of a river flood wave
    Dept of Geography, Dartmouth College, Hanover NH 03755, United States
    [J]. Int J Remote Sens, 7 (1439-1445):
  • [3] Preface: Remote Sensing in Flood Monitoring and Management
    Schumann, Guy J-P.
    [J]. REMOTE SENSING, 2015, 7 (12): : 17013 - 17015
  • [4] The state of the art of spaceborne remote sensing in flood management
    Rahman, Md. Shahinoor
    Di, Liping
    [J]. NATURAL HAZARDS, 2017, 85 (02) : 1223 - 1248
  • [5] The state of the art of spaceborne remote sensing in flood management
    Md. Shahinoor Rahman
    Liping Di
    [J]. Natural Hazards, 2017, 85 : 1223 - 1248
  • [6] Deriving Planform Morphology and Vegetation Coverage From Remote Sensing to Support River Management Applications
    Boothroyd, Richard J.
    Nones, Michael
    Guerrero, Massimo
    [J]. FRONTIERS IN ENVIRONMENTAL SCIENCE, 2021, 9
  • [7] REAL-TIME WEB-BASED GIS AND REMOTE SENSING FOR FLOOD MANAGEMENT
    Rahman, Taibur
    Rahaman, Khan Rubayet
    Afrin, Sadia
    [J]. JOURNAL OF REGIONAL AND CITY PLANNING, 2005, 16 (01): : 21 - 38
  • [8] THE WHOLE PROCESS REMOTE SENSING MONITORING OF RIVER BASIN FLOOD-TAKING THE 2013 HEILONGJIANG RIVER FLOOD AS AN EXAMPLE
    Li Lin
    Li Xiaotao
    Lu Jingxuan
    Lei Tianjie
    Sun Tao
    Qu Wei
    [J]. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 7301 - 7303
  • [9] Innovative remote sensing imaging method based on compressed sensing
    Li Sheng-liang
    Liu Kun
    Zhang Feng
    Zhang Li
    Xiao Long-long
    Han Da-peng
    [J]. OPTICS AND LASER TECHNOLOGY, 2014, 63 : 83 - 89
  • [10] Evaluation and improvement of remote sensing-based methods for river flow management
    Samboko, H. T.
    Abas, I
    Luxemburg, W. M. J.
    Savenije, H. H. G.
    Makurira, H.
    Banda, K.
    Winsemius, H. C.
    [J]. PHYSICS AND CHEMISTRY OF THE EARTH, 2020, 117