scholarly journals Using LiDAR-DEM based rapid flood inundation modelling framework to map floodplain inundation extent and depth

2020 ◽  
Vol 30 (10) ◽  
pp. 1649-1663
Author(s):  
Yongqiang Zhang
Keyword(s):  
Flood Inundation ◽  
Modelling Framework ◽  
Inundation Modelling ◽  
Floodplain Inundation ◽  
Lidar Dem ◽  
Inundation Extent

scholarly journals Accuracy of Dem-Based Topographic Data in Flood Inundation Modelling: A Case of Wami River, Tanzania

2014 ◽  
Vol 35 (1) ◽  
pp. 15-35
Author(s):  
Preksedis M. Ndomba
Keyword(s):  
Cross Sections ◽  
Development Project ◽  
Flood Inundation ◽  
Contour Map ◽  
Topographic Data ◽  
Before And After ◽  
Inundation Modelling ◽  
River Reach ◽  
Surface Profiles ◽  
Inundation Extent

The objective of this paper is to evaluate and further comment on the accuracy of the DEM-based topographic data as input in flood modelling. Recent studies have indicated thathydraulic parameters of the modified cross sections based on high resolution DEM aregeometrically and hydraulically similar to the measured ones. In the current study hydraulicmodelling was intended to guide a development project whereby a floodplain protectionembankment is contemplated. Therefore, accuracy in terms of positioning/alignment of naturalfeatures such as river banks and heights/elevations was imperative to attain. In order to achievethese, accuracy of various topographic data sources were qualitatively and/or quantitativelyanalysed before and after hydraulic modelling. As the study river reach is ungauged, thehydraulic model was verified and validated with field observations, readily availableinformation and professional judgement. Based on error analysis, it was found thatuncalibrated 90-m resolution STRM DEM-based topographic data are biased, i.e., 80% of theerror mass is negative. The error increases with elevation. The final input to the hydraulicmodel was a composite/hybrid DEM derived after merging geometric data from fourrepresentative field-measured cross sections, a 2-m interval contour map covering part of theriver valley, and calibrated 90-m resolution DEM. Although, calibration improves the data, itdoes not remove completely the inherent bias. Further to DEM calibration, it was thereforerecommended to include an elevation uncertainty value of -0.5 m, as derived from topographicanalysis, into simulated water surface profiles elevations. The hydraulic model satisfactorilysimulated flood inundation extent after considering the elevation uncertainty. In order toimprove the findings further studies should use adequate measured cross sections and DEM ofhigher resolutions.

Flood Inundation Modelling Using MILHY. Volume 2

1989 ◽  
Author(s):  
Laura Baird ◽  
M. G. Anderson
Keyword(s):  
Flood Inundation ◽  
Inundation Modelling

Estimation of the Environmental Flow Regime to Deter-mine the Minimum Flow for Pollution Reduction: Wadi Zomar - Palestine as a Case Study

2020 ◽  
Vol 8 (1) ◽  
pp. 21-33
Author(s):  
Saed Khayat
Keyword(s):  
Flow Regime ◽  
Base Flow ◽  
Pollution Reduction ◽  
Flood Inundation ◽  
Healthy Environment ◽  
Floodplain Inundation ◽  
Main Factors ◽  
Bar Formation

Possible factors that play a role in restoring a flow regime that supports a healthy environment were identified for Wadi Zomar, Palestine. The hydrograph shows that threshold discharges for bed drying are less than 0.14 m3/s, bar formation is less than 0.4 ms/s and floodplain inundation events are over 3 m3/s. The HEC-RAS model suggests a continuous discharge throughout the year that maintains the base flow in the range of 0.5 m3/s. The model suggests that the restoration process is controlled by two main factors: role of sufficient flow and flood inundation frequency

scholarly journals Towards integrated flood inundation modelling in groundwater-dominated catchments

2020 ◽  
Vol 591 ◽  
pp. 125755
Author(s):  
Sarah L. Collins ◽  
Vasileios Christelis ◽  
Christopher R. Jackson ◽  
Majdi M. Mansour ◽  
David M.J. Macdonald ◽  
...  
Keyword(s):  
Flood Inundation ◽  
Inundation Modelling

Flood Inundation Modelling for Mid-Lower Brisbane Estuary

2016 ◽  
Vol 33 (3) ◽  
pp. 415-426 ◽  
Author(s):  
X. Liu ◽  
S. Lim
Keyword(s):  
Flood Inundation ◽  
Inundation Modelling

Flood inundation modelling: A review of methods, recent advances and uncertainty analysis

2017 ◽  
Vol 90 ◽  
pp. 201-216 ◽  
Author(s):  
J. Teng ◽  
A.J. Jakeman ◽  
J. Vaze ◽  
B.F.W. Croke ◽  
D. Dutta ◽  
...  
Keyword(s):  
Uncertainty Analysis ◽  
Flood Inundation ◽  
Recent Advances ◽  
Inundation Modelling
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