Multi-tank model is a helpful tool for rainfall-groundwater-runoff analysis since it can represent a nonlinear transport behavior and give predictions very quickly. Because of its high dimension, it is typically difficult to obtain optimal model parameters using the existing methods. A new random optimization approach called modified dynamically dimensioned search (MDDS) is introduced for parameters calibration of the new model. It is based on heuristic global search and its adjustment is achieved by dynamically and randomly reducing the number of searching dimensions. Finally multi-tank model...
