TITLE:
Risk Assessment and Simulation on Storm Flood of the 100-Year Return Period in Hunhe River Basin
AUTHORS:
Mingyan Liu, Fenghua Sun, Yiling Hou, Xiaoyu Zhou, Chunyu Zhao, Xue Yi
KEYWORDS:
FloodArea, Flood Simulation, Return Period, Risk Assessment, Hunhe River Basin
JOURNAL NAME:
Journal of Geoscience and Environment Protection,
Vol.6 No.7,
July
5,
2018
ABSTRACT: Based on the meteorological and geographic information data, with statistical
method and the FloodArea model, the extreme daily rainfall of the 100-year
return period in Hunhe River basin was established, through the simulation of
rainstorm and flood disaster, characteristics of flood depth in warning spot
Cangshi village in the upstream of the river were analysed, and possible effect
on community economy was also evaluated. Results showed that, the precipitation
of 100-year return period occurred, the flood depth has been below 1.0
meter in the most areas of Hunhe River basin, the depth was between 1.0 meter
and 2.5 meters in the part areas of Hunhe River basin, and the flood depth
has been exceed 2.5 meters in a small part of Hunhe River basin. After the beginning
of precipitation, the flood was concentrated in the upper reaches of
the river. With the accumulation of precipitation and the passage of time, the
flood pools into midstream and downstream. Precipitation lasted for 24
hours, the warning spot was flooded in the beginning of precipitation. With
the accumulation of precipitation, water level of the river increases gradually.
The depth of warning spot has passed 1.0 meter at the 07 time of the whole
process, and the maximum value of flood depth at warning spot was 1.083
meters that occurred at the 19 time. The flood depth of warning spot decreased
gradually after the precipitation stopping, and the depth has been below
0.2 meters, the flood of upstream ended. Up to the end of the upstream
flood process, in the whole river, about one million five hundred and sixty
thousand people were affected by flooding, and thirty-eight billion and two
hundred million RMB of gross domestic product were lost, in addition, dry
land and paddy field were affected greatly, but woodland and grassland were
less affected.