ABSTRACT

This paper reports a monitoring and modeling of the occurrence of metals in a WWTP inflow, identifying the different sources of metals in domestic, commercial/industrial wastewater and surface runoff, using the software SWMM. The developed model explained very well the hydraulic data, with errors around 1% in relation to the calibration dataset and 4% to the validation one. When explaining the quality data, the model was unable to predict Cu and Zn. The reason may be found in the well-known fraudulent industrial discharges, that, on the basis of our study represent respectively 59% and 23% of Cu and Zn total load. Instead we have observed good correspondence between the load peaks of Al and Fe predicted and the measured ones. From the mass balance, it was possible to see that most of the load of aluminum (over 70%) and iron (over 50%) is actually due to wash-off and infiltration water.

摘要

本文报告了对污水处理厂进水中金属发生情况的监测和建模，并使用软件SWMM识别了生活，商业/工业废水和地表径流中金属的不同来源。所开发的模型很好地解释了水力数据，相对于校准数据集，误差约为1％，而对于验证数据，误差为4％。在解释质量数据时，该模型无法预测铜和锌。原因可能是在众所周知的欺诈性工业排放中发现的，根据我们的研究，这些排放分别占Cu和Zn总负荷的59％和23％。相反，我们观察到了预测的Al和Fe的负载峰值与测得的峰值之间的良好对应关系。从质量平衡来看