A Modified Two-Parameter Monthly Water Balance Model for Runoff Simulation to Assess Hydrological Drought

Quantitative assessment of the frequency and magnitude drought events plays an important role in preventing disasters ensuring water security river basins. In this paper, we modified a parsimonious two-parameter monthly balance (TPMWB) model by incorporating generalized proportionality hypothesis with precipitation potential evapotranspiration as input variables. The TPMWB was then used to simulate hydrological processes 30 sub-basins Han River basin. It is shown that can satisfactorily regimes selected sub-basins. We derived probability distribution functions runoff using principle maximum entropy calculate Standardized Runoff Index (SRI), assessed historical conditions. By investigating correlation between four major characteristics (i.e., duration, severity, intensity, inter-arrival time) dimensionless parameters representing climatic underlying properties basin, conclusion be drawn formation development basin mainly controlled watershed storage factors, influence factors also significant. proposed approach provides alternative for regional early warning under changing environmental