Indian Journal of Science and Technology
Year: 2017, Volume: 10, Issue: 17, Pages: 1-10
Mohd Talha Anees1*, K. Abdullah1 , M. N. M. Nawawi1 , Nik Norulaini Nik Ab Rahman2 , Abd. Rahni Mt. Piah3 , M. I. Syakir4 , A. K. Mohd. Omar4 and Kaizar Hossain5
1School of Physics, Universiti Sains Malaysia, 11800 Minden, Penang, Malaysia; [email protected], [email protected], [email protected] 2School of Distance Education, Universiti Sains Malaysia, 11800 Minden, Penang, Malaysia; [email protected] 3School of Mathematics, Universiti Sains Malaysia, 11800 Minden, Penang, Malaysia; [email protected] 4School of Industrial Technology, Universiti Sains Malaysia, 11800, Minden, Penang, Malaysia; [email protected], [email protected] 5Detartment of Environmental Science, PACE Institute of Technology and Sciences, Ongole – 523272, Andhra Pradesh, India; [email protected]
*Author for the correspondence:
Mohd Talha Anees
School of Physics, Universiti Sains Malaysia, 11800 Minden, Penang, Malaysia; [email protected]
Objective: To propose an integrated approach for flood analyses in order to understand the causes and effects of flooding, and to achieve better measurements in flood risk predictions and mitigation. Method: The role of remote sensing, hydrology and geophysical methods in determining and selection of input and model parameters in hydrological modeling for flood analyses were discussed. Findings: Remote sensing and GIS are found to be important in any preliminary flood analysis while hydrological parameters such as precipitation, infiltration, evapotranspiration and runoff and their factors such as meteorological characteristics, land use land cover changes, types of vegetation and soil properties play a crucial role for accurate hydrological modelling. In hydrogeological investigation, geophysical methods such as Transient Electromagnetic and Resistivity methods are found best for the determination of subsurface hydrological factors such as hydraulic conductivity, porosity and permeability. Improvement: It is found that the combination of these methods can furnish precise flood analyses through modeling techniques.
Keywords: Flooding, Geographic Information System, Geophysical Methods, Hydrology, Remote Sensing
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