The combined process of hydrodynamic cavitation and ultraviolet (HC–UV) was evaluated for reducing culturable bacteria in industrial recirculating cooling water. Using cooling water collected from a power plant, laboratory experiments were conducted over throat diameters of 3–5 mm, inlet pressures of 0.2–0.4 MPa, and system temperatures of 20–40°C, with the UV power fixed at 20 W. Under the representative comparison condition of a 3 mm throat diameter, 0.3 MPa inlet pressure, and 20°C system temperature, HC–UV achieved 99.89% inactivation of culturable bacteria within 15 min from 3.62 × 10 4 CFU mL −1 , outperforming HC alone and UV alone. At 30 min, the observed log reduction exceeded the independent‐action expectation by 2.417 log units. Kinetic analysis showed nonlinear inactivation well described by a modified Weibull model with a residual term ( R 2 = 0.987). To further characterize multivariable coupling and temporal dependence, a convolutional neural network–long short‐term memory (CNN‐LSTM) model was developed using multivariate time‐series data. Among the four models, CNN‐LSTM yielded the highest R 2 and the lowest RMSE and MAE, with R 2 = 0.9598, RMSE = 0.0650, and MAE = 0.0416, supporting prediction and operating‐parameter evaluation within the investigated experimental range. In a representative pilot‐scale operation, the culturable bacterial count decreased from 3.96 × 10 5 to 7.0 × 10 3 CFU mL −1 , corresponding to a 98.23% reduction, with estimated energy consumption of 0.80 kWh m −3 and 0.46 kWh m −3 log −1 , excluding the submersible pump. These results provide preliminary evidence for the pilot‐scale applicability of HC–UV treatment in recirculating cooling water.
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