Generation of Large-Scale Weather Forecast Values and Evaluation of Failure Rate by Pre-Discharge Assuming a Hypothetical Irrigation Reservoir

Puntos clave

• The aim is to examine the trends of failure rates in pre-discharge scenarios based on irrigation and catchment areas.
• Used a machine learning model to generate 550 years of weather forecast values.
• Assessed failure rates of pre-discharge from irrigation reservoirs.
• Focused on maximum flood control effects by setting reservoir storage to zero.
• Observed 100% failure rate in many irrigation and catchment area scenarios.
• Minimum failure rates were 77.8% for a baseline rainfall of 50mm and 79.3% for 100mm.