Abstract:
Aiming at the refractory biodegradation characteristic of chemical fertilizer wastewater, supercritical water oxidation(SCWO) method has been used for its treatment. Every factor that affects the treatment effects has been investigated by response surface method(RSM), the quadratic regression model of NH3-N removing rate established, and the treatment condition optimized. The results show that the sequence of all the factors that have significant influence on NH3-N removing rates are temperature > peroxide ratio > pressure > reaction time. Under optimized conditions, the predicted value of NH3-N removing rate is 97.11%. Comparing the measured value with predicted value, it is found that the deviation of them is between -3.88% to 2.14%. The analysis using the predicted value of the model instead of using measured value has higher reliability.
Key words:
supercritical water oxidation,
chemical fertilizer wastewater,
response surface method
摘要：
针对化肥废水难生物降解的特性，采用超临界水氧化（SCWO）法对其进行处理。通过响应面法（RSM）对影响处理效果的各因素进行了研究，建立了NH3-N去除率的二次回归模型，优化了处理条件。结果表明，各因素对NH3-N去除率影响的显著性依次为温度>过氧比>压力>反应时间。在优化条件下，NH3-N去除率预测值为97.11%。对比实测值与模型预测值，二者偏差介于-3.88%~2.14%，采用该模型预测值代替实验值进行分析具有较高的可信度。
关键词:
超临界水氧化,
化肥废水,
响应面法
CLC Number:
Ye Zheng,Miaochao Chen. Research on the RSM optimized SCWO method for the treatment of waste-water containing highly concentrated ammonia nitrogen chemical fertilizer[J]. Industrial Water Treatment, 2019, 39(6): 43-47.
郑烨,陈淼超. RSM优化SCWO处理高浓度氨氮化肥废水的研究[J]. 工业水处理, 2019, 39(6): 43-47.