Zoning of highway flood-triggering environment for highway in Fuling District, Chongqing

Qing-mei Qin; Hong-mei Tang; Hong-kai Chen

doi:10.1117/12.905936

29 October 2011 Zoning of highway flood-triggering environment for highway in Fuling District, Chongqing

Qing-mei Qin, Hong-mei Tang, Hong-kai Chen

Proceedings Volume 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization; 820530 (2011) https://doi.org/10.1117/12.905936
Event: 2011 International Conference on Photonics, 3D-imaging, and Visualization, 2011, Guangzhou, China

Abstract

Based on the geological environment about Fuling district in Chongqing city, eight evaluating indicators on road flooding subsequently environment along the highway: geological disasters developmental condition, rainstorm intensity, flood frequency, landform condition, litho-logical condition, average annual rainfall, vegetation coverage and geological structure, have been chosen. Adopting expert system to double evaluation and using the analysis hierarchy process to confirm the weight of index, accordingly, the mathematical model of evaluation on subsequently environment is put forward. On the support of GIS, grid subsequently environmental index and township administrative division subsequently environmental index, subsequently environment is divided into 4 degrees. They are dangerous zone, high susceptible zone, middle susceptible zone and low susceptible zone of the floods subsequently environment around highway. The results of the study indicate that in the total area, dangerous zone, high susceptible zone, middle susceptible zone and low susceptible zone of road flooding are 11.89%, 41.65%, 32.20% and 14.26% respectively. The results provide some significant scientific evidence for the further risk evaluation of road flooding.

Citation Download Citation

Qing-mei Qin, Hong-mei Tang, and Hong-kai Chen "Zoning of highway flood-triggering environment for highway in Fuling District, Chongqing", Proc. SPIE 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization, 820530 (29 October 2011); https://doi.org/10.1117/12.905936

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KEYWORDS

Floods

Roads

Geographic information systems

Data acquisition

Classification systems

Vegetation

Chromium

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