TITLE:
Flood Frequency Analysis of Chenab River for Predicting Peak Flows during Late Monsoon Period
AUTHORS:
Sonia Ijaz, Qudsia Hameed, Aiza Ahsan, Muhammad Atif Butt
KEYWORDS:
ASTER GDEM, HEC Geo-RAS, ARCMAP, Gumbel Distribution Model
JOURNAL NAME:
Advances in Remote Sensing,
Vol.8 No.1,
March
11,
2019
ABSTRACT:
The River Chenab is one of the main western rivers
of the Indus River system in Pakistan, which undergoes intensive inundation
almost every year during the late monsoon period. The present study performs
flood frequency analyses for the river basin as well as simulates different
levels of
water flow in the system to speculate all kinds of inundation under different
scenarios, i.e., to predict flood
hazard and flood extended areas. Flood frequency analyses were performed at
MARALA Headworks to Khanki Headworks. Data were collected from the Punjab Irrigation Department,
Pakistan and from USGS and ASTER GDEM. The peak discharge of MARALA Headworks had been analyzed for 25 years. The preprocessing was performed in HEC Geo-RAS after
preprocessing model run in HEC-RAS. After analysis the data were exported in HEC-RAS to
ARCMAP to generate a floodplain and inundation map. Our
analysis generated the result that different areas would be under water in different return periods. Flood hazards maps for different return periods 10, 20, 50 and 100 years were
conducted using annual peaks flow of 35 years from 1980 to 2016. The maximum discharges at up and down stream for
different periods were obtained using Gumbel distribution model results which showed
that different areas were predicted under water in
different return periods and affected areas after five years’ return period.