Dynamics of bar growth using remote sensing data

被引:0
|
作者
Hossain, M.M. [1 ]
Hasan, M.K. [1 ]
Mukto, M.A. [1 ]
机构
[1] Dept. of Water Resources Eng., Bangladesh Univ. of Eng./Tech., Dhaka 1000, Bangladesh
来源
IAHS-AISH Publication | 2000年 / 267期
关键词
Database systems - Geographic information systems - Hydrology - Morphology - Remote sensing;
D O I
暂无
中图分类号
学科分类号
摘要
The dynamics of bar growth in alluvial rivers may be studied using remote sensing and hydrological data. Results of a study conducted to examine the morphological features of two characteristic bars of the Jamuna River in Bangladesh for the period from 1973 to 1997 based on PC ARC/INFO and Arc View GIS are presented. The study revealed that the area, average width and average length of the selected bar had an overall diminishing trend. A comparison of the common bar area in 1997 with that of 1973 showed the existing bar area reduces to about 2.5%. The study showed that the inundation of the selected bars increased from 271 ha to 418 ha due to a change in water level from 7.33 m to 9.05 m, whereas it increased from 418 ha to 2218 ha with a rise of water level from 9.05 m to 12.07 m. When the water level was at 17.5 m, the bars were completely submerged.
引用
收藏
页码:498 / 500
相关论文
共 50 条
  • [41] Estimation of Actual Evapotranspiration using Remote Sensing data
    Gamage, N.
    Smakhtin, V.
    Perera, B. J. C.
    19TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2011), 2011, : 3356 - 3362
  • [42] STUDY OF FOG EVENTS USING REMOTE SENSING DATA
    Toanca, F.
    Stefan, S.
    Labzovski, L.
    Belegante, L.
    Andrei, S.
    Nicolae, D.
    ROMANIAN REPORTS IN PHYSICS, 2017, 69 (01)
  • [43] Potential of Using Remote Sensing Data for Dike Inspection
    Cundill, S. L.
    Hack, H. R. G. K.
    van der Meijde, M.
    van der Schrier, J. S.
    Ngan-Tillard, D. J. M.
    NEW FRONTIERS IN ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2013, : 203 - 206
  • [44] Using remote sensing data in macroscale hydrological modelling
    Dubayah, R
    Lettenmaier, D
    Wood, EF
    Rhoads, J
    REMOTE SENSING AND HYDROLOGY 2000, 2001, (267): : 151 - 155
  • [45] Mesoscale modeling of evapotranspiration using remote sensing data
    Mauser, W
    REMOTE SENSING OF VEGETATION AND SEA, 1997, 2959 : 108 - 117
  • [46] Estimation of actual evapotranspiration using remote sensing data
    School of Engineering and Science, Victoria University, PO Box 14428, Melbourne, VIC, Australia
    不详
    不详
    MODSIM - Int. Congr. Model. Simul. - Sustaining Future: Underst. Living Uncertainty, (3356-3362):
  • [47] VOLCANO MONITORING USING REMOTE-SENSING DATA
    GUPTA, RK
    BADARINATH, KVS
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 1993, 14 (16) : 2907 - 2918
  • [48] AUDITING REMOTE SENSING DATA USING GEOSPATIAL PROVENANCE
    Closa, Guillem
    Maso, Joan
    Pesquer, Lluis
    Pons, Xavier
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 4253 - 4256
  • [49] Remote data sensing using SAR and harmonic reradiators
    Vanjari, Srinivas V.
    Krogmeier, James V.
    Bell, Mark R.
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2007, 43 (04) : 1426 - 1440
  • [50] Remote sensing data interpretation using knowledge engineering
    Ekechukwu, B
    ADVANCES IN INTELLIGENT SYSTEMS: THEORY AND APPLICATIONS, 2000, 59 : 147 - 152