Research Article May 2017 © 2017, IJERMT All Rights Reserved Page | 60 International Journal of Emerging Research in Management &Technology ISSN: 2278-9359 (Volume-6, Issue-5) Runoff Estimation by Australian Water Balance Model: A Review Ankit Balvanshi, H. L. Tiwari, Sandeep Devaliya Department of Civil Engineering, Maulana Azad National Institute of Technology Bhopal, Madhya Pradesh, India DOI: 10.23956/ijermt/SV6N4/123 Abstract— ater is the natural important resource which needs preservation, control and management. The water resources can be managed by implementing and improving the engineering practices. A rainfall-runoff model is a mathematical model that describes catchment and gives relationship between precipitation and runoff. The AWBM model is a conceptual, lumped rainfall-runoff model. The AWBM takes daily time series rainfall, discharge and evapotranspiration data as input. In this research paper, the AWBM model is been critically reviewed. This study will be helpful for the potential model users especially beginner’s in the simulation of rainfall runoff of any catchment. Keywords— Water Resources, Rainfall, Runoff, AWBM, Evapotranspiration I. INTRODUCTION Use of models in hydrological researches has turned into an imperative device for comprehension of the normal procedures happening at the watershed scale. A lot of soft computing based hydrologic quality models have been developed for applications in hydrologic studies. They are progressively being used to examine the nature of stream, surge gauging, Wurbs (1998), Singh and Woolhiser, (2002). In the current years, with the improvement of computational abilities and calculations supported with recently accessible circulated databases like radar precipitation, high determination computerized rise models (DEMs), remote sensing data. A model can be assessed by looking at the model outcomes or capacities to different models or some other expected/particular reaction. The major criteria utilized for the assessment are:  Hydrological forms that the model can mimic,  Representing conditions used to mimic the hydrologic forms,  Minimum information required to run the model Rainfall-runoff relationship is one of the most significant phenomena in the hydrologic design and planning of any hydrological structure. Several models like AWBM, SCS CN model, AnnAGNPS, GSSHA, HYPE, Hec-HMS, MIKE-SHE, PRMS, SWAT, WetSpa, and WinSRM are used to simulate the runoff, Dhami and Pandey (2013). The Australian Water Balance Model was developed by the Australian Hydrologist W. Boughton for the estimation of runoff in the ungauged catchments of Australia. Boughton (2004) used the AWBM model for the design, flood estimation. The hourly increment of data was used in this study. The model developed calibration specific parameters and the result was optimised. The model was made to run on 19 catchments for design flood computation. Boughon (2006) developed an AWBM model for the hydrologic rainfall runoff modelling. A set of 99 rainfall-runoff data sets of poor quality are used to test some methods. These rainfall runoff data were previously rejected. The Potential Evapo-Transpiration data was modified and given as input to the model. When the input data was adjusted the efficiency 68 data sets of model enhanced from 0.629 to 0.829. The calibrations of the other left data sets did not give satisfactory results. It was concluded that this model gave more than two-third good calibrated values and scope of improvement of the data sets is present for further study. Jones et al. (2006) worked on finding the hydrological sensitivity, changes in annual runoff by two models SIMHYD and AWBM. The location was comprised of 22 Australian catchments for the study. The results showed different-different sensitivities to both rainfall and potential evaporation changes. The SIMHYD showed mean sensitivity of 2.4% and AWBM showed mean sensitivity of 2.5% when mean annual rainfall is changed by 1%. Boughton (2007) chose the six major Drainage Divisions of Australia in the study. Total 213 catchments were found in these divisions. The rainfall runoff model was set up using the AWBM model and daily rainfall, evapotranspiration data was given as input. The model self-calibrates its surface storage parameters to calculate approximately average annual runoff. The approach can also be extended to simulate runoff on monthly or annual. Kumar (2013) developed two hydrological models named the SCS CN model and AWBM model in Tadepalli, Andhra Pradesh. The location coordinates were 16.4667°N latitudes and 80.6000°E longitudes. The total catchment area was 61.5 sq km. The rainfall data of 5 years were used in the study. Along with SCS CN, GIS was used for obtaining the composite curve number and getting the land use/ land cover pattern. The value of co-relation r 2 =0.76 was obtained between observed and computed runoff. Yu (2015) developed the AWBM model for catchment area of 1.478 sq. km (River Rambeod, French Alps). The rainfall data was collected from 1966 to 2006. The author used two models for rainfall runoff computation namely W