Vijay Saloni, Yuan Qiuyan
Department of Environmental Science and Engineering, Indian School of Mines, Dhanbad, 826004, India.
University of Manitoba, Department of Civil Engineering, Winnipeg, MB, R3T 5V6, Canada.
J Environ Manage. 2017 Oct 1;201:1-5. doi: 10.1016/j.jenvman.2017.06.023. Epub 2017 Jun 19.
Nutrient removal in a facultative lagoon in Manitoba, Canada, was monitored from May 2015 to April 2016. According to the 12-month data, phosphorous concentration in the effluent did not meet the regulatory requirement. Various models have been developed to predict nitrogen removal from lagoon through the years; however, not much effort has been deployed to model phosphorous removal from lagoons. Therefore, this research aims to relate the lagoon phosphate removal to the volatile suspended solids (VSS), metal concentration, and detention time. A simple empirical equation was derived by observing the one-year data, which considers assimilation into biomass as a major mechanism of phosphorous removal. The metals' concentration was found to be very low in the facultative lagoon studied. Hence, phosphorous precipitation by metals was neglected. The model relates assimilation directly to VSS which is simple to evaluate practically unlike other models that require individual algae and bacteria concentration. The correlation coefficient (R) between the observed and the predicted effluent VSS was 0.92, which indicates excellent fit. The R between observed and predicted effluent orthophosphate was 0.83, which indicates moderate fit. The trend of modeled effluent phosphate is similar to the observed effluent phosphate concentration, which approves the validity of this model. The model developed in this research can be used to predict the average effluent VSS and phosphorous concentration in similar facultative lagoons.
2015年5月至2016年4月期间,对加拿大曼尼托巴省一座兼性氧化塘的养分去除情况进行了监测。根据这12个月的数据,出水的磷浓度未达到监管要求。多年来,已经开发了各种模型来预测氧化塘中的氮去除情况;然而,在模拟氧化塘中的磷去除方面投入的精力并不多。因此,本研究旨在将氧化塘的磷酸盐去除与挥发性悬浮固体(VSS)、金属浓度和停留时间联系起来。通过观察一年的数据得出了一个简单的经验方程,该方程将磷的去除主要机制视为被生物量同化。在所研究的兼性氧化塘中,发现金属浓度非常低。因此,忽略了金属对磷的沉淀作用。该模型将同化作用直接与VSS联系起来,与其他需要单独的藻类和细菌浓度的模型不同,VSS在实际中易于评估。观察到的和预测的出水VSS之间的相关系数(R)为0.92,这表明拟合度极佳。观察到的和预测的出水正磷酸盐之间的R为0.83,这表明拟合度中等。模拟的出水磷酸盐趋势与观察到的出水磷酸盐浓度相似,这证实了该模型的有效性。本研究中开发的模型可用于预测类似兼性氧化塘中的平均出水VSS和磷浓度。