基于TOP_DMV模型的缺资料地区设计洪水计算OA

With the global expansion of hydropower development into data-scarce regions,the calculation of design floods presents new challenges.Taking a hydropower station in Southeast Asia as a case study,an improved TOP_DMV model is proposed based on the TOPMODEL framework,integrating its semi-distributed structure with the Nash geomorphological unit hydrograph to enhance runoff routing accuracy.The model's applicability in data-deficient areas is validated through parameter calibration and transfer from the downstream X hydrological station.The results demonstrate that the model yields a 500-year design flood peak discharge of 3 600 m3/s and a Probable Maximum Flood(PMF)peak discharge of 6 280 m3/s,with deviations within 30%compared to traditional hydrological analogy methods.Notably,the model's accuracy is improved significantly for higher-magnitude flood events.While discrepancies in simulated flood processes are observed due to the limitations in input rainfall data,the model also demonstrates robust overall performance,offering a novel approach for flood design in data-scarce regions of Southeast Asia.