MONITORING LABORATORY SCALE RIVER CHANNEL PROFILE CHANGES USING DIGITAL CLOSE RANGE PHOTOGRAMMETRY TECHNIQUE

Authors

  • Faezal Norizan Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia
  • Mohd Fadhli Abd Rashid Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia
  • Nurul Liyana Roslan Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia
  • Radzuan Sa'ari Department of Hydraulics & Hydrology, Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia
  • Zulkiflee Ibrahim Department of Hydraulics & Hydrology, Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia
  • Mushairry Mustaffar Department of Geotechnic and Transportation, Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia
  • Muhammad Azril Hezmi Department of Geotechnic and Transportation, Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia

DOI:

https://doi.org/10.11113/mjce.v28.16012

Keywords:

Photogrammetry, digital image processing, channel profile, erosion.

Abstract

Measuring and monitoring of river channel evolution or changes under laboratory conditions is an important scope in hydraulic assessment. Measurement such as changes in river channel profile for instance, provides an important indicator on erosion and accretion rates in hydraulic modelling. Under controlled conditions, the changes in channel profile are usually measured using a high precision point gauge. However, when large numbers of points of river profile need to be measured, the use of point gauge method becomes laborious and time consuming. This study proposed a digital close range photogrammetry technique to measure natural river channel bed profile changes in laboratory. The objective of this study was to investigate the changes of physical river model profile for pre and post flooding simulations using digital close range photogrammetry technique. Small scale physical model experimental works were conducted in the Hydraulics and Hydrology Laboratory to observe the river profile evolution during the events. The flood flume utilized in this study is 4.95 m long, 1.38 m wide and 1.26 m deep with carved V-shaped natural main channel with a bed slope of 1:500. Data measured from digital close range photogrammetry technique during pre-flooding at t = 0 second and post flooding events at t= 9660 second were compared to determine the channel profile evolution or changes after simulation of flood event. The results show the changes in invert level or bed level between non-flooding and flooding events due to erosion is varies from 1 mm (minimum) to 6 mm (maximum) along the channel between chainage 0mm and chainage 2000 mm with total volume of erosion is 1157 x 103 mm3 respectively. It can be concluded that the digital close range photogrammetry technique can be used as a complimentary method to measure and monitor the changes of river channel profile in the laboratory

References

Barazzetti, L., and M. Scaioni (2009). Crack Measurement: Development, Testing and

Applications of an Automatic Image based Algorithm. ISPRS Journal of Photogrammetry and

Remote Sensing. 64(3): 285-296.

Barazzetti, L., Scaioni, M., Feng, T., Qiao, G., Lu, P., Tong, X. and Li, R. (2013).

Photogrammetry in Experiments for Hydrogeological Risk Assessment. The Role of

Geomatics in Hydrogeological Risk. 27–28 February, Padua, Italy.

Butler, J. B., Lane, S. N., Chandler, J. H. and Porfiri, E. (2002). Through-Water Digital close

range photogrammetry in Flume and Field Environments. The Photogrammetric Record.

(99): 419-439.

Chandler, J., Shiono, K., Rameshwaran, P. and Lane, S.(2001). Measuring Flume Surfaces For

Hydraulics Research Using a Kodak DCS460. The Photogrammetric Record. 17(97): 39-61.

Chandler, J., Ashmore, P., Paola, C., Gooch, M. and Varkaris, F. (2002). Monitoring RiverChannel

Change Using Terrestrial Oblique Digital Imagery and Automated. Digital

Photogrammetry. Annals of the Association of American Geographers. 92(4): 631–644.

Taylor and Francis Group.

Cooper, M. A. R. and Robson, S. (1990). High Precision Photogrammetric Monitoring of the

Deformation of a Steel Bridge. The Photogrammetric Record. 13: 505–510.

Fedele, R., Scaioni, M., Barazzetti, L., Rosati, G., Biolzi, L., and P. Condoleo.(2014).

Delamination Tests on CFRP-Reinforced Masonry Pillars: Optical Monitoring and

Mechanical Modelling. Cement and Concrete Composites. 45: 243-254.

Kennert, A. and Torlegard, I. 1980. An Introduction to Close Range Photogrammetry. In:

Atkinson, K. B. (ed) (1996). Development in Close Range Photogrammetry. London: Applied

Science Publishers.

Luhmann, T, Robson, S.M., Kyle, S. and Harley, I. (2006). Close Range Photogrammetry

Principles, Methods and Applications. Scotland, U.K.: Whittles Publishing.

Maas, H.G., and U. Hampel, (2006). Photogrammetric Techniques in Civil Engineering Material

Testing and Structure Monitoring. Photogrammetric Engineering and Remote Sensing, 72:

-45.

Mustaffar, M., Saari, R., Abu Bakar, S. Moghadasi, M. and Marsono, A.K. (2012).The

Measurement of Full Scale Structural Beam-Column Connection Deformation Using Digital

Close Range Photogrammetry Technique.Malaysian Journal of Civil Engineering. 24(2):148-

Radzuan, S., Mushairry M., Suhaimi A. B., Probowo S., Abdul Aziz S., Hanim O.

(2012).Determination of Steel Cold-Form Deformation Behaviour Using Multiple Stereo

Image Technique. APSEC 2012, Surabaya, Indonesia.

Roncella, R., Scaioni, M., and G. Forlani, (2004). Application of Digital Photogrammetry in

Geotechnics. In: IAPRS&SIS, Vol. 35, Part B/III, pp. 93-98.

Roncella, R., Romeo, E., Barazzetti, L., Gianinetto, M., and M. Scaioni, (2012). Comparative

Analysis of Digital Image Correlation Techniques for In-plane Displacement Measurements.

In: Proc. 5th Int. Conf. „Image and Signal Processing‟ (CISP 2012), 16-18 Oct., Chongqing,

P.R. China, pp. 887-890.

Rapp C., Eder K. and Stilla U., (2012). 3D Determination of the Evolution of a Scour Hole by

Photogrammetric Means. Proceedings of the River Flow 2012, San Jose, Costa Rica, Taylor

& Francis Group: 943-950.

Scaioni, M., Feng, T., Barazzetti, L., Previtali, M., Lu, P., Qiao, G., Wu, H., Chen, W., Tong, X.,

Wang, W., and Li, R. (2014).Some Applications of 2-D and 3-D Photogrammetry During

Laboratory Experiments for Hydrogeological Risk Assessment. Journal Geomatics, Natural

Hazards and Risk. 6: 2015 - Issue 5-7. The Role of Geomatics in Hydrogeological Risk. 473-

Udin, W., Ahmad, A. and Ismail, Z.(2014).Assessment of Digital Camera in Mapping

Meandering Flume using Close Range Photogrammetric Technique. Pertanika Journal

Science & Technology. 22(1): 123-138.

Westaway R. M., Lane S. N. and Hicks, D. M.(2001). Remote Sensing of Clear-Water, Shallow,

Gravel-Bed Rivers Using Digital Photogrammetry. Photogrammetric Engineering & Remote

Sensing. 67(11): 1271-1281.

Downloads

Published

2018-07-18

Issue

Section

Articles

How to Cite

MONITORING LABORATORY SCALE RIVER CHANNEL PROFILE CHANGES USING DIGITAL CLOSE RANGE PHOTOGRAMMETRY TECHNIQUE. (2018). Malaysian Journal of Civil Engineering, 28. https://doi.org/10.11113/mjce.v28.16012