Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6659551 | International Journal of Sustainable Built Environment | 2017 | 12 Pages |
Abstract
In recent years, rainfall induced 'urban storm water-logging' (USWL) events are experiencing in Chittagong city like other urbanized parts of Bangladesh. To mitigate this there is an urgent need to predict the USWL beforehand and a numerical model could help. Thus, this paper aimed to use a hydrological model i.e. HEC-HMS through field survey during 2013-2014 and a questionnaire survey. With the support of secondary data source viz. daily newspaper, intensive questionnaire survey and field visits identified 13 most vulnerable USWL locations and based on these a USWL depth-duration-frequency curve was developed. This showed during water logging (i.e. May-July), the depth of logged water rises 0.3-1.27Â m causing adjacent dwellers sufferings upto 13 times per year and the inundation period is up to 48Â h. Using these, HEC-HMS model was setup and the correlation obtained with the field measurement as R2 values 0.83 and 0.77 during calibration and verification period respectively. Once a real time hydrological dataset is available, the validated model supposed to provide useful information in the decision support system.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Chemical Engineering (General)
Authors
Aysha Akter, Syed Abdullah Mohit, Mohammad Ayanul Huq Chowdhury,