Abstract
A bridge is a structure built to span physical obstacles such as a body of water, valley or road for the purpose of providing passage over the obstacle. Bridges over rivers cause an alteration of flow and modify the flow characteristics because of the flow obstruction. Remote sensing and GIS techniques have been used to study the alterations in river meandering characteristics. The objective of this study is to analyse the changes in river characteristics downstream of a bridge using satellite images for the lower Ganges River at two bridge sites in Bhagalpur and Munger in Bihar, India. ARC-GIS is used to calculate the normalised difference water index (NDWI), which has the capability to represent water bodies adequately from space. Based on NDWI maps, the river channel length and downvalley length were measured for different spatio-temporal conditions. The above parameters (channel length and downvalley length) were used to estimate the Sinuosity Index under 14 spatio-temporal situations. The Sinuosity Index (i.e. an indicator of local river fluvial characteristics) varies significantly because of the effect of bridges and their associated structures. There was an increase in the Sinuosity Index of 30 % magnitude in an 8-year time period (2006–2014) after the bridge construction phase at both locations. The pre-construction phase of the bridges indicates minor changes in the Sinuosity Index during the 9-year period from 1987 to 1996. The NDWI analysis also reveals that the river characteristics changed considerably in the pre- and post-bridge scenarios while the change was less significant for pre- and post-flood events (May 2014 to October 2014).
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References
Aeron A, Garg R, Arya D, Aggarwal S (2014) Extracting water feature and change detection of part of Mahanadi delta region in Odisha using NDVI and NDWI from landsat images. INROADS-Int J Jaipur Natl Univ 3(1s):80–82
Aher SP, Bairagi SI, Deshmukh PP, Gaikwad RD (2012) River change detection and bank erosion identification using topographical and remote sensing data. Int J Appl Inf Syst 2:1–7
Bagnold et al. (1960) Geological survey professional paper 282-E, United states government printing office, Washington
Billi P, Rinaldi M (1997) Human impact on sediment yield and channel dynamics in the Arno River basin (central Italy). IAHS Publ-Ser Proc Rep-Intern As Hydrol Sci 245:301
Choi SU, Yoon B, Woo H (2005) Effects of dam-induced flow regime change on downstream river morphology and vegetation cover in the Hwang River, Korea. River Res Appl 21(2–3):315–325
Das BC (2014) Two indices to measure the intensity of meander. In: M Singh, Singh RB, Hassan MI (eds) Landscape ecology and water management, Springer, pp 233–245
Das B, Mondal M, Das A (2012) Monitoring of bank line erosion of River Ganga, Malda District, and West Bengal: using RS and GIS compiled with statistical techniques. Int J Geomat Geosci 3(1):239–248
Delbart N, Kergoat L, Le Toan T, Lhermitte J, Picard G (2005) Determination of phenological dates in boreal regions using normalized difference water index. Remote Sens Environ 97(1):26–38
Gao B-C (1996) NDWI—A Normalized Difference Water Index for remote sensing of vegetation liquid water from space. Remote Sens Environ 58(3):257–266
Glenn JL, Dahl A, Roy C, Davidson D (1960) Missouri River studies: alluvial morphology and engineering soil classification. Iowa State University
Gu Y, Brown JF, Verdin JP, Wardlow B (2007) A five-year analysis of MODIS NDVI and NDWI for grassland drought assessment over the central Great Plains of the United States. Geophys Res Lett 34(6):1–6
Himanshu et al (2015) Proceedings of international conference on structural architectural and civil engineering held on 21–22, Nov 2015, Dubai, pp 1–8
Himanshu S, Garg N, Rautela S, Anuja K, Tiwari M (2013) Remote sensing and GIS applications in determination of geomorphological parameters and design flood for a Himalayan river basin, India. Int Res J Earth Sci 1(3):11–15
Jackson TJ, Chen D, Cosh M, Li F, Anderson M, Walthall C, Doriaswamy P, Hunt ER (2004) Vegetation water content mapping using Landsat data derived normalized difference water index for corn and soybeans. Remote Sens Environ 92(4):475–482
Ji L, Zhang L, Wylie B (2009) Analysis of dynamic thresholds for the normalized difference water index. Photogramm Eng Remote Sens 75(11):1307–1317
Kassouk Z, Thouret J-C, Oehler J-F, Solikhin A (2014) Identifying pyroclastic and lahar deposits and assessing erosion and lahar hazards at active volcanoes using multi-temporal HSR image analysis and techniques for change detection. In: Proceedings of the EGU General Assembly Conference Abstracts, pp 10445
Kotoky P, Bezbaruah D, Sarma J (2015) Spatio-temporal variations of erosion-deposition in the Brahmaputra River, Majuli—Kaziranga sector, Assam: implications on flood management and flow mitigation. In: Ramkumar Mu, Kumaraswamy K, Mohanraj R (eds) Environmental management of river basin ecosystems. Springer, pp 227–251
Leopold et al. (1957) Geological survey professional paper 282-B, United states government printing office, Washington
Leopold LB, Bagnold RA, Wolman MG, Brush L (1960) Flow resistance in sinuous or irregular channels. US Government Printing Office, Washington, DC
Lian OB, Hickin EJ (1996) Early postglacial sedimentation of lower Seymour Valley, southwestern British Columbia. Géogr Phys Quat 50(1):95–102
McFeeters S (1996) The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. Int J Remote Sens 17(7):1425–1432
Mirza MMQ (2006) The Ganges water diversion: environmental effects and implications. Springer, Dordrecht
Mirza MMQ, Warrick R, Ericksen N (2003) The implications of climate change on floods of the Ganges, Brahmaputra and Meghna rivers in Bangladesh. Clim Chang 57(3):287–318
Mueller JE (1968) An introduction to the hydraulic and topographic sinuosity indexes 1. Ann As Am Geogr 58(2):371–385
Pandey BK, Gosain A, Paul G, Khare D (2016) Climate change impact assessment on hydrology of a small watershed using semi-distributed model. Appl Water Sci 1–13
Qiao C, Luo J, Sheng Y, Shen Z, Zhu Z, Ming D (2012) An adaptive water extraction method from remote sensing image based on NDWI. J Indian Soc Remote Sens 40(3):421–433
Rai SP, Sharma N, Lohani A (2014) Risk assessment for transboundary rivers using fuzzy synthetic evaluation technique. J Hydrol 519:1551–1559
Rust BR (1972) Structure and process in a braided river. Sedimentology 18(3–4):221–245
Sanghi R (2014) Our national river Ganga. Springer, Switzerland
Sethi R, Pandey BK, Krishan R, Khare D, Nayak P (2015) Performance evaluation and hydrological trend detection of a reservoir under climate change condition. Model Earth Syst Environ 1(4):1–10
Surian N (2006) Effects of human impact on braided river morphology: examples from Northern Italy. Braided Rivers Process Depos Ecol Manag (Special Publication 36 of the IAS) 59:327
Surian N, Rinaldi M (2003) Morphological response to river engineering and management in alluvial channels in Italy. Geomorphology 50(4):307–326
Thakur PK (2014) River bank erosion hazard study of river Ganga, upstream of Farakka barrage using remote sensing and GIS. In: Sanghi R (ed) Our national river Ganga. Springer, pp 261–283
Thoman MJ, McCollum K (2014) Department of ecosystem science and management and department of botany, University of Wyoming, 1–23. http://repository.uwyo.edu/ugrd/2013_UGRD/Presentations/109/
Tiwari H, Sharma N (2014) Bank shifting of river Ganga in the downstream of Bhagalpur Vikramshila Setu. J River Eng 2:31–33
Tiwari et al (2012) Recent trends in civil engineering & technology 2(2):1–8
USGS (2014) Science for changing world. http://landsat.usgs.gov/band_designations_landsat_satellites.php
Williams PF, Rust BR (1969) The sedimentology of a braided river. J Sediment Res 39(2):649–679
Xu H (2006) Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. Int J Remote Sens 27(14):3025–3033
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We acknowledge USGS, USA, for LANDSAT satellite data and CGWB and CWC for their data support as well as the MHRD, GoI and IIT Roorkee for financial and infrastructure support. The authors are also grateful to anonymous reviewers and editors for their helpful comments.
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Tiwari, H., Rai, S.P. & Shivangi, K. Bridging the gap or broadening the problem?. Nat Hazards 84, 351–366 (2016). https://doi.org/10.1007/s11069-016-2422-x
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DOI: https://doi.org/10.1007/s11069-016-2422-x