Streamflow Estimation at Ungauged Basin using Modified Group Method of Data Handling

Among the foremost frequent and vital tasks for hydrologist is to deliver a high accuracy estimation on hydrological variable, which reliable. It essential flood risk evaluation project, hydropower development developing efficient water resource management. Presently, approach of Group Method Data Handling (GMDH) has been widely applied in modelling sector. Yet, comparatively, same tool not vastly used at ungauged basins. In this study, modified GMDH (MGMDH) model was developed ameliorate performance estimating variable sites. The MGMDH consists four transfer functions that include polynomial, hyperbolic tangent, sigmoid radial basis basins; as well as; it incorporates Principal Component Analysis (PCA) model. purpose PCA lessen complexity model; meanwhile, implementation enhance evaluating effectiveness proposed model, 70 selected basins were adopted from locations throughout Peninsular Malaysia. A comparative study done between with other extensively models area quantile known Linear Regression (LR), Nonlinear (NLR) Artificial Neural Network (ANN). results acquired demonstrated possessed best highest comparatively among all tested. Thus, can be deduced robust instrument quantiles