TY - RPRT T1 - Rainfall-runoff simulation for a tropical catchment AU - Mohammed, T. A. AU - Ghazali, A. H. AU - Noor, M. J. M. M. DO - 10.4122/1.1000001086 UR - https://www.datacite.org/invalid.html AB - Shortage of recorded hydrological data, such as streamflow records, is a very common problem or constraint often encountered in the planning and design of water resources projects. Reliability of the design, planning and operation for projects of water supply, irrigation, flood mitigation, hydropower generation, and pollution control, depends mainly upon the length of the records used in the processes. In this study, a rainfall-runoff model called the basin model, is proposed to predict the mean annual streamflow or runoff for Bernam River basin, Malaysia. The available record for the streamflow of Bernam River is short and contains some missing data. The effective rainfall for the selected basin was determined by applying ranking analysis technique. The annual rainfall was simulated using lag-3 Markov chain stochastic model. Both the basin model and the stochastic rainfall model were calibrated and validated using the historical record. The validation process of the basin model showed that the absolute error in the model prediction ranges from 0.11 to 4.02 m3/s. Model testing using Theil\342\200\231s coefficient showed that the basin model is successful in its prediction. The value for the Theil\342\200\231s coefficient was found to be 0.14. KW - Tropical catchment KW - runoff KW - effective rainfall KW - ranking analysis KW - basin model KW - Theil\342\200\231s coefficient PY - 2005 PB - DTU Library, Technical University of Denmark (DTU) LA - en ER -