Developing Damage Assessment Model for Bridge Surroundings: A Study of Disaster by Typhoon Morakot in Taiwan
This paper presents an integrated model that
automatically measures the change of rivers, damage area of bridge
surroundings, and change of vegetation. The proposed model is on the
basis of a neurofuzzy mechanism enhanced by SOM optimization
algorithm, and also includes three functions to deal with river imagery.
High resolution imagery from FORMOSAT-2 satellite taken before
and after the invasion period is adopted. By randomly selecting a
bridge out of 129 destroyed bridges, the recognition results show that
the average width has increased 66%. The ruined segment of the
bridge is located exactly at the most scour region. The vegetation
coverage has also reduced to nearly 90% of the original. The results
yielded from the proposed model demonstrate a pinpoint accuracy rate
at 99.94%. This study brings up a successful tool not only for
large-scale damage assessment but for precise measurement to
disasters.
[1] Central Weather Bureau. Climate change report in Taiwan 1897-2008.
Taiwan: Ministry of Transportation and Communications, 2009.
[2] M. Muller, J. A. Tencate, T.W. Darling, A. Sutin, R.A. Guyer, M.
Talmant, P. Laugier, and P.A. Johnson, "Bone micro-damage assessment
using non-linear resonant ultrasound spectroscopy (NRUS) techniques: A
feasibility study," Ultrasonics, vol. 44, pp. 245-249, 2006.
[3] M. J. Olsen, F. Kuester, B. J. Chang, and T. C. Hutchinson, "Terrestrial
laser scanning-based structural damage assessment," Journal of
Computing in Civil Engineering, vol. 24, pp. 264-272, 2010.
[4] M. -C. Su, D. -Y. Huang, J. -H. Chen, W. -Z. Lu, L. -C. Tsai, and J. -Z.
Lin, "Mapping multi-spectral remote sensing images using rule extraction
approach," Expert Systems with Applications, vol. 38, pp. 12917-12922,
2011.
[5] D. Brunner, G. Lemoine, and L. Bruzzone, "Earthquake damage
assessment of buildings using VHR optical and SAR imagery," IEEE
Transactions on Geoscience and Remote Sensing, vol. 48, pp. 2403-2420,
2010.
[6] G. Newaz, and X. Chen, "Progressive damage assessment in thermal
barrier coatings using thermal wave imaging technique," Surface and
Coatings Technology, vol. 190, pp. 7-14, 2005.
[7] D. W. Wilkinson, and M. K. Crosby, "Rapid assessment of forest damage
from tornadoes in Mississipal," Photogrammetric Engineering and
Remote Sensing, vol. 76, pp. 1299-1301, 2010.
[8] S. Voigt, T. Schneiderhan, A. Twele, M. Gähler, E. Stein, and H. Mehl,
"Rapid damage assessment and situation mapping: Learning from the
2010 Haiti earthquake," Photogrammetric Engineering and Remote
Sensing, vol. 77, pp. 923-931, 2010
[9] S. Stramondo, C. Bignami, M. Chini, N. Pierdicca, and A. Tertulliani,
"Satellite radar and optical remote sensing for earthquake damage
detection: Results from different case studies," International Journal of
Remote Sensing, vol. 27, pp. 4433-4447, 2006.
[10] U. Cheema, "Expert systems for earthquake damage assessment," IEEE
Aerospace and Electronic Systems Magazine, vol. 22, pp. 6-10, 2007.
[11] A., Kumar, R. K., Chingkhei, and T., Dolendro, "Tsunami damage
assessment: A case study in Car Nicobar Island,"India. International
Journal of Remote Sensing, vol.28, no.13-14, pp.2937-2959, 2007.
[12] C.-C., Liu, J.-G., Liu, C.-W., Lin, A.-M., Wu, S.-H., Liu, and C.-L.,
Shieh, "Image processing of FORMOSAT-2 data for monitoring the
South Asia tsunami, " International Journal of Remote Sensing, vol.28,
pp.3093-3111, 2007.
[13] F. Bovolo, and L. Bruzzone, "A split-based approach to unsupervised
change detection in large-size multitemporal images: application to
tsunami-damage assessment," IEEE Transactions on Geoscience and
Remote Sensing, vol. 45, pp. 1658-1669, 2007.
[14] K. Dharanirajan, P. P. Kasinatha, B. Gurugnanam, R. M. Narayanan, and
S. Ramachandran, "An integrated study for the assessment of tsunami
impacts: A case study of South Andaman Island, India using remote
sensing and GIS," Coastal Engineering Journal, vol. 49, pp. 229-266,
2007.
[15] P. Sirikulchayanon, W. Sun, and T. Oyana, "Assessing the impact of the
2004 tsunami on mangroves using remote sensing and GIS techniques,"
International Journal of Remote Sensing, vol. 29, pp. 3553-3576. 2008.
[16] A. M. Kerr, A. H. Baird, R. S. Bhalla, and V. Srinivas, "Reply to 'Using
remote sensing to assess the protective role of coastal woody vegetation
against tsunami waves," International Journal of Remote Sensing, vol.
30, pp. 3817-3820, 2009.
[17] K. Tsutsui, S. Rokugawa, H. Nakagawa, S. Miyazaki, C. -T. Cheng, T.
Shiraishi, and S. -D. Yang, "Detection and volume estimation of
large-scale landslides based on elevation-change analysis using DEMs
extracted from high-resolution satellite stereo imagery," IEEE
Transactions on Geoscience and Remote Sensing, vol. 45, pp. 1681-1696,
2007.
[18] M. -F. Lee, T. -C. Lin, M. A. Vadeboncoeur, and J. -L. Hwong, "Remote
sensing assessment of forest damage in relation to the 1996 strong
typhoon Herb at Lienhuachi Experimental Forest, Taiwan," Forest
Ecology and Management, vol. 255, pp. 3297-3306, 2008.
[19] N. Silleos, K. Perakis, and G. Petsanis, "Assessment of crop damage
using space remote sensing and GIS," International Journal of Remote
Sensing, vol. 23, pp. 417-427, 2002.
[20] Y. Huang, S. J. Thomson, B.V. Ortiz, K.N. Reddy, W. Ding, R.M.
Zablotowicz, and J. R. Bright, "Airborne remote sensing assessment of
the damage to cotton caused by spray drift from aerially applied
glyphosate through spray deposition measurements," Biosystems
Engineering, vol. 107, pp. 212-220, 2010.
[21] S. Ekstrand, "Landsat TM-based forest damage assessment: Correction
for topographic effects," Photogrammetric Engineering and Remote
Sensing, vol. 62, pp. 151, 1996.
[22] A. S. Isaev, G.N. Korovin, S. A. Bartalev, D. V. Ershov, A. Janetos, E. S.
Kasischke, H. H. Shugart, N. H. F. French, B. E. Orlick, and T.L. Murphy,
"Using remote sensing to assess Russian forest fire carbon emissions,"
Climatic Change, vol. 55, pp. 235-249, 2002.
[23] C. Stone, R. Turner, and J. Verbesselt, "Integrating plantation health
surveillance and wood resource inventory systems using remote sensing,"
Australian Forestry, vol. 71, pp. 245-253, 2008.
[24] T. M. Airola, "Monitoring the impact of arsenic contamination on forest
vegetation in New Jersey using remote sensing techniques," Journal of
imaging technology, vol. 16, pp. 120-123, 1990.
[25] F. Melgani, G. Moser, and S. B., Serpico, "Unsupervised
change-detection methods for remote-sensing images," Optical
Engineering, vol. 41, pp. 3288-3297, 2002.
[26] S. Kabir, P. Rivard, D. -C. He, and P. Thivierge, "Damage assessment for
concrete structure using image processing techniques on acoustic
borehole imagery," Construction and Building Materials, vol. 23, pp.
3166-3174, 2009.
[27] F. Wang, and Y. J., Xu, "Comparison of remote sensing change detection
techniques for assessing hurricane damage to forests," Environmental
Monitoring and Assessment, vol. 162, pp. 311-326, 2010.
[28] Z. Chen, and T. C., Hutchinson, "Probabilistic urban structural damage
classification using bitemporal satellite images," Earthquake Spectra,
vol. 26, pp. 87-109, 2010.
[29] K. Johansen, S. Phinn, J. Lowry, and M. Douglas, "Quantifying indicators
of riparian condition in Australian tropical savannas: Integrating high
spatial resolution imagery and field survey data," International Journal of
Remote Sensing, vol. 29, pp. 7003-7028, 2008.
[30] T. M. Pavelsky, and L. C. Smith, "RivWidth: A software tool for the
calculation of river widths from remotely sensed imagery," IEEE
Geoscience and Remote Sensing Letters, vol. 5, pp. 70-73, 2008.
[31] Y. A. Liou, S. K. Kar, and L. Y. Chang, "Use of high-resolution
FORMASAT-2 satellite images for post-earthquake disaster assessment:
A student following 12 May 2008 Wenchuan earthquake," International
Journal of Remote Sensing, vol. 31, pp. 3355-3368, 2010.
[32] J. -H. Chen, M. -C. Su, Y. -X. Zhao, Y. -J. Hsieh, and W. -H. Chen,
"Application of SOMO based clustering in building renovation,"
International Journal of Fuzzy Systems, vol. 10, pp. 195-201, 2008.
[33] J. -H. Chen, M. -C. Su, and L. -R. Yang, "Comparison of SOM-based
optimization and particle swarm optimization for minimizing the
construction time of a secant pile wall," Automation in Construction, vol.
18, pp. 844-848, 2009.
[34] J. -H. Chen, M. -C. Su, and D. -Y. Huang, "Application of SOM-based
optimization algorithm in minimizing construction time for secant pile
wall," Journal of Construction Engineering and Management, vol. 136,
pp. 1189-1195, 2010.
[35] Directorate General of Highways, Disaster Assessment Report for
Bridges Damaged by Typhoon Morakot. Taipei, Taiwan: Ministry of
Transportation and Communications, 2010.
[1] Central Weather Bureau. Climate change report in Taiwan 1897-2008.
Taiwan: Ministry of Transportation and Communications, 2009.
[2] M. Muller, J. A. Tencate, T.W. Darling, A. Sutin, R.A. Guyer, M.
Talmant, P. Laugier, and P.A. Johnson, "Bone micro-damage assessment
using non-linear resonant ultrasound spectroscopy (NRUS) techniques: A
feasibility study," Ultrasonics, vol. 44, pp. 245-249, 2006.
[3] M. J. Olsen, F. Kuester, B. J. Chang, and T. C. Hutchinson, "Terrestrial
laser scanning-based structural damage assessment," Journal of
Computing in Civil Engineering, vol. 24, pp. 264-272, 2010.
[4] M. -C. Su, D. -Y. Huang, J. -H. Chen, W. -Z. Lu, L. -C. Tsai, and J. -Z.
Lin, "Mapping multi-spectral remote sensing images using rule extraction
approach," Expert Systems with Applications, vol. 38, pp. 12917-12922,
2011.
[5] D. Brunner, G. Lemoine, and L. Bruzzone, "Earthquake damage
assessment of buildings using VHR optical and SAR imagery," IEEE
Transactions on Geoscience and Remote Sensing, vol. 48, pp. 2403-2420,
2010.
[6] G. Newaz, and X. Chen, "Progressive damage assessment in thermal
barrier coatings using thermal wave imaging technique," Surface and
Coatings Technology, vol. 190, pp. 7-14, 2005.
[7] D. W. Wilkinson, and M. K. Crosby, "Rapid assessment of forest damage
from tornadoes in Mississipal," Photogrammetric Engineering and
Remote Sensing, vol. 76, pp. 1299-1301, 2010.
[8] S. Voigt, T. Schneiderhan, A. Twele, M. Gähler, E. Stein, and H. Mehl,
"Rapid damage assessment and situation mapping: Learning from the
2010 Haiti earthquake," Photogrammetric Engineering and Remote
Sensing, vol. 77, pp. 923-931, 2010
[9] S. Stramondo, C. Bignami, M. Chini, N. Pierdicca, and A. Tertulliani,
"Satellite radar and optical remote sensing for earthquake damage
detection: Results from different case studies," International Journal of
Remote Sensing, vol. 27, pp. 4433-4447, 2006.
[10] U. Cheema, "Expert systems for earthquake damage assessment," IEEE
Aerospace and Electronic Systems Magazine, vol. 22, pp. 6-10, 2007.
[11] A., Kumar, R. K., Chingkhei, and T., Dolendro, "Tsunami damage
assessment: A case study in Car Nicobar Island,"India. International
Journal of Remote Sensing, vol.28, no.13-14, pp.2937-2959, 2007.
[12] C.-C., Liu, J.-G., Liu, C.-W., Lin, A.-M., Wu, S.-H., Liu, and C.-L.,
Shieh, "Image processing of FORMOSAT-2 data for monitoring the
South Asia tsunami, " International Journal of Remote Sensing, vol.28,
pp.3093-3111, 2007.
[13] F. Bovolo, and L. Bruzzone, "A split-based approach to unsupervised
change detection in large-size multitemporal images: application to
tsunami-damage assessment," IEEE Transactions on Geoscience and
Remote Sensing, vol. 45, pp. 1658-1669, 2007.
[14] K. Dharanirajan, P. P. Kasinatha, B. Gurugnanam, R. M. Narayanan, and
S. Ramachandran, "An integrated study for the assessment of tsunami
impacts: A case study of South Andaman Island, India using remote
sensing and GIS," Coastal Engineering Journal, vol. 49, pp. 229-266,
2007.
[15] P. Sirikulchayanon, W. Sun, and T. Oyana, "Assessing the impact of the
2004 tsunami on mangroves using remote sensing and GIS techniques,"
International Journal of Remote Sensing, vol. 29, pp. 3553-3576. 2008.
[16] A. M. Kerr, A. H. Baird, R. S. Bhalla, and V. Srinivas, "Reply to 'Using
remote sensing to assess the protective role of coastal woody vegetation
against tsunami waves," International Journal of Remote Sensing, vol.
30, pp. 3817-3820, 2009.
[17] K. Tsutsui, S. Rokugawa, H. Nakagawa, S. Miyazaki, C. -T. Cheng, T.
Shiraishi, and S. -D. Yang, "Detection and volume estimation of
large-scale landslides based on elevation-change analysis using DEMs
extracted from high-resolution satellite stereo imagery," IEEE
Transactions on Geoscience and Remote Sensing, vol. 45, pp. 1681-1696,
2007.
[18] M. -F. Lee, T. -C. Lin, M. A. Vadeboncoeur, and J. -L. Hwong, "Remote
sensing assessment of forest damage in relation to the 1996 strong
typhoon Herb at Lienhuachi Experimental Forest, Taiwan," Forest
Ecology and Management, vol. 255, pp. 3297-3306, 2008.
[19] N. Silleos, K. Perakis, and G. Petsanis, "Assessment of crop damage
using space remote sensing and GIS," International Journal of Remote
Sensing, vol. 23, pp. 417-427, 2002.
[20] Y. Huang, S. J. Thomson, B.V. Ortiz, K.N. Reddy, W. Ding, R.M.
Zablotowicz, and J. R. Bright, "Airborne remote sensing assessment of
the damage to cotton caused by spray drift from aerially applied
glyphosate through spray deposition measurements," Biosystems
Engineering, vol. 107, pp. 212-220, 2010.
[21] S. Ekstrand, "Landsat TM-based forest damage assessment: Correction
for topographic effects," Photogrammetric Engineering and Remote
Sensing, vol. 62, pp. 151, 1996.
[22] A. S. Isaev, G.N. Korovin, S. A. Bartalev, D. V. Ershov, A. Janetos, E. S.
Kasischke, H. H. Shugart, N. H. F. French, B. E. Orlick, and T.L. Murphy,
"Using remote sensing to assess Russian forest fire carbon emissions,"
Climatic Change, vol. 55, pp. 235-249, 2002.
[23] C. Stone, R. Turner, and J. Verbesselt, "Integrating plantation health
surveillance and wood resource inventory systems using remote sensing,"
Australian Forestry, vol. 71, pp. 245-253, 2008.
[24] T. M. Airola, "Monitoring the impact of arsenic contamination on forest
vegetation in New Jersey using remote sensing techniques," Journal of
imaging technology, vol. 16, pp. 120-123, 1990.
[25] F. Melgani, G. Moser, and S. B., Serpico, "Unsupervised
change-detection methods for remote-sensing images," Optical
Engineering, vol. 41, pp. 3288-3297, 2002.
[26] S. Kabir, P. Rivard, D. -C. He, and P. Thivierge, "Damage assessment for
concrete structure using image processing techniques on acoustic
borehole imagery," Construction and Building Materials, vol. 23, pp.
3166-3174, 2009.
[27] F. Wang, and Y. J., Xu, "Comparison of remote sensing change detection
techniques for assessing hurricane damage to forests," Environmental
Monitoring and Assessment, vol. 162, pp. 311-326, 2010.
[28] Z. Chen, and T. C., Hutchinson, "Probabilistic urban structural damage
classification using bitemporal satellite images," Earthquake Spectra,
vol. 26, pp. 87-109, 2010.
[29] K. Johansen, S. Phinn, J. Lowry, and M. Douglas, "Quantifying indicators
of riparian condition in Australian tropical savannas: Integrating high
spatial resolution imagery and field survey data," International Journal of
Remote Sensing, vol. 29, pp. 7003-7028, 2008.
[30] T. M. Pavelsky, and L. C. Smith, "RivWidth: A software tool for the
calculation of river widths from remotely sensed imagery," IEEE
Geoscience and Remote Sensing Letters, vol. 5, pp. 70-73, 2008.
[31] Y. A. Liou, S. K. Kar, and L. Y. Chang, "Use of high-resolution
FORMASAT-2 satellite images for post-earthquake disaster assessment:
A student following 12 May 2008 Wenchuan earthquake," International
Journal of Remote Sensing, vol. 31, pp. 3355-3368, 2010.
[32] J. -H. Chen, M. -C. Su, Y. -X. Zhao, Y. -J. Hsieh, and W. -H. Chen,
"Application of SOMO based clustering in building renovation,"
International Journal of Fuzzy Systems, vol. 10, pp. 195-201, 2008.
[33] J. -H. Chen, M. -C. Su, and L. -R. Yang, "Comparison of SOM-based
optimization and particle swarm optimization for minimizing the
construction time of a secant pile wall," Automation in Construction, vol.
18, pp. 844-848, 2009.
[34] J. -H. Chen, M. -C. Su, and D. -Y. Huang, "Application of SOM-based
optimization algorithm in minimizing construction time for secant pile
wall," Journal of Construction Engineering and Management, vol. 136,
pp. 1189-1195, 2010.
[35] Directorate General of Highways, Disaster Assessment Report for
Bridges Damaged by Typhoon Morakot. Taipei, Taiwan: Ministry of
Transportation and Communications, 2010.
@article{"International Journal of Architectural, Civil and Construction Sciences:61210", author = "Jieh-Haur Chen and Pei-Fen Huang", title = "Developing Damage Assessment Model for Bridge Surroundings: A Study of Disaster by Typhoon Morakot in Taiwan", abstract = "This paper presents an integrated model that
automatically measures the change of rivers, damage area of bridge
surroundings, and change of vegetation. The proposed model is on the
basis of a neurofuzzy mechanism enhanced by SOM optimization
algorithm, and also includes three functions to deal with river imagery.
High resolution imagery from FORMOSAT-2 satellite taken before
and after the invasion period is adopted. By randomly selecting a
bridge out of 129 destroyed bridges, the recognition results show that
the average width has increased 66%. The ruined segment of the
bridge is located exactly at the most scour region. The vegetation
coverage has also reduced to nearly 90% of the original. The results
yielded from the proposed model demonstrate a pinpoint accuracy rate
at 99.94%. This study brings up a successful tool not only for
large-scale damage assessment but for precise measurement to
disasters.", keywords = "remote sensing image, damage assessment, typhoon
disaster, bridge, ANN, fuzzy, SOM, optimization.", volume = "6", number = "2", pages = "192-6", }
