Numerical Modelling for the Extreme Flood Event in the Fitzroy Basin, Queensland, Australia

Amir, Md. Sharif Imam Ibne; Khan, M.M.K.; Rasul, M.G.; Sharma, Raj Hari; Akram, Fatema

doi:10.7763/ijesd.2013.v4.368

Cited by 8 publications

(9 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The major rivers, important gauge locations and geographic location of the study area are shown in Figure 1. The information on area of basin and subcatchment is available in Amir et al (2012Amir et al ( , 2013a).…”

Section: Study Areamentioning

confidence: 99%

“…Flooding from a storm event is one of the major natural disasters in many countries around the world (Cunha et al, 2011;Amir et al, 2013a;Gain and Hoque, 2013). It is a normal ecosystem phenomenon and a natural hydrologic feature of most river systems like the Fitzroy.…”

Section: Introductionmentioning

confidence: 99%

“…The Fitzroy enters the ocean 55 km downstream of Rockhampton City (Centre for the Government of Queensland, 2014). Therefore, heavy rainfall occurring in any part of basin may cause flooding in the Fitzroy River in the Rockhampton area (Amir et al, 2013a). Consequently, Rockhampton has a long history of flooding.…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, Rockhampton has a long history of flooding. Major floods occurred in 1896, 1918, 1928, 1954, 1991 and 2011 of which the worst one happened in 1918 (Amir et al, 2013a). These floods caused significant loss of life, property, livestock and crops, as well as extensive damage to dwellings and road, rail and air links.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Hydrologic and hydrodynamic modelling of extreme flood events to assess the impact of climate change in a large basin with limited data

Amir

Khan

Rasul

et al. 2015

J Flood Risk Management

View full text Add to dashboard Cite

Flood modelling of a large basin like the Fitzroy is a difficult task due to its large catchment size, the long duration of flood events, the non-uniform spatial distribution of rainfall and a lack of required data for modelling purposes. This paper presents a systematic methodology for the flood modelling of the Fitzroy Basin using hydrologic and hydrodynamic modelling approach with Geographic Information System (GIS) capabilities. This study developed five flood scenarios analysing historical flood events and considering three impacts of climate change: upstream subcatchments flooding, local rainfall fluctuations and sea level rise. A hydrologic model was developed within the wider Fitzroy Basin with the five upstream subcatchments and the upper Fitzroy subcatchment in order to simulate discharge data for these scenarios at the Gap measurement location. An integrated hydrologic-hydrodynamic model was developed for the lower Fitzroy subcatchment where output discharges of the hydrologic model were considered as the upstream boundaries. The peak flood levels, peak flow rates and flood inundation durations at Rockhampton city were identified using this integrated model. GIS capabilities were specially used for automatic watershed delineation and river cross-section extraction from Digital Elevation Model (DEM) data. The methodology proposed here is a case study and can be applied to other similar basins or catchments.

show abstract

Section: Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Hydrologic and hydrodynamic modelling of extreme flood events to assess the impact of climate change in a large basin with limited data

Amir

Khan

Rasul

et al. 2015

J Flood Risk Management

View full text Add to dashboard Cite

show abstract

“…The river branch was digitized along the center of the left and right bank. The cross-sections were automatically extracted along the river branch from the DEM data using the software HEC-Geo RAS [16].…”

mentioning

confidence: 99%

Accuracy analysis of SRTM usage for upper Citarum River flood modeling

Siregar

2017

MATEC Web Conf.

View full text Add to dashboard Cite

Abstract. Natural channel cross section is generally very irregular and varied, for complex cross-sections and natural cross sections no specific formula presents to express the elements of the geometric cross section of the channel. The study uses HEC-Geo RAS with Arc GIS 10 and HEC-RAS 4.1.0 for modeling and 1D hydrodynamic. The surveyed cross sections modeling is calibrated and validated with observed daily discharge. Then the surveyed data cross sections are replaced by the cross sections extracted from SRTM. Accuracy is suitability between the surveyed data cross sections with data cross sections which extracted from SRTM. Accuracy is expressed by the magnitude of the error. The ratio of simulated discharges between two models by surveyed data cross sections and SRTM data cross sections have index of performance indicator for Nash-Sutcliffe Index (NI) is 0.95 and index of Root Mean Square Error (RMSE) is 0.41. Index of Performance indicator for comparison of simulated discharges between models with Nash-Sutcliffe Index (NI) is 0.95 and index of Root Mean Square Error (RMSE) is 0.41. The results show that cross sections from SRTM can be an alternative to extract data cross sections for Upper Citarum River flood modeling.

show abstract

Understanding the impacts of predecessor rain events on flood hazard in a changing climate

Khatun

Ganguli

Bisht

et al. 2022

Hydrological Processes

View full text Add to dashboard Cite

This study, for the first time, investigates the physical association between Predecessor Rain Events (PREs) and peak runoff generation in seven catchments over the Upper Mahanadi River basin (UMRB), India. A statistical–dynamical framework is developed to assess the compounding impact of PREs (as preconditioned events) versus riverine floods during both retrospective and projected climate. Based on models' fidelity to capture historical climatology, we select four out of nine Global Climate Models (GCMs) during historical (1980–2005), and the three projected time windows, that is, near future (2010–2039), mid‐century (2040–2069), and the far future (2070–2099) planning horizons with RCP8.5 emission scenario. We assess changes in compound flood hazards in historical versus projected periods using a newly proposed Bivariate Hazard Ratio (BHR) index, which represents the ratio between bivariate return periods during the projected versus the historical time windows. Assessing bivariate return periods (characterized by ‘AND’ operator) of rainfall‐driven compound floods shows decreased flood hazard in the mid‐century and far‐future planning horizons. Accounting ranges of uncertainty from climate model simulations and the propagation of uncertainty across the numerical model chain, overall we show considering PRE as the covariate, floods in larger catchments show an increase in compound flood hazard in the projected period.

show abstract

Numerical Modelling for the Extreme Flood Event in the Fitzroy Basin, Queensland, Australia

Cited by 8 publications

References 8 publications

Hydrologic and hydrodynamic modelling of extreme flood events to assess the impact of climate change in a large basin with limited data

Hydrologic and hydrodynamic modelling of extreme flood events to assess the impact of climate change in a large basin with limited data

Accuracy analysis of SRTM usage for upper Citarum River flood modeling

Understanding the impacts of predecessor rain events on flood hazard in a changing climate

Contact Info

Product

Resources

About