School of Engineering, University of British Columbia Okanagan, 3333 University Way, Kelowna, BC V1V 1V7, Canada.
Environ Monit Assess. 2013 May;185(5):4231-44. doi: 10.1007/s10661-012-2864-x. Epub 2012 Sep 16.
A dissolved oxygen (DO) model is calibrated and verified for a highly polluted River Ravi with large flow variations. The model calibration is done under medium flow conditions (431.5 m(3)/s), whereas the model verification is done using the data collected during low flow conditions (52.6 m(3)/s). Biokinetic rate coefficients for carbonaceous biochemical oxygen demand (CBOD) and nitrogenous biochemical oxygen demand (NBOD) (i.e, K(cr) and K(n)) are determined through the measured CBOD and ammonia river profiles. The calculated values of K cr and K n are 0.36 day(-1) and 0.34 day(-1), respectively. The close agreement between the DO model results and the field values shows that the verified model can be used to develop DO management strategies for the River Ravi. The biokinetic coefficients are known to vary with degree of treatment (DOT) and therefore need to be adjusted for a rational water quality management model. The effect of this variation on level of treatment has been evaluated by using the verified model to attain a DO standard of 4 mg/L in the river using the biokinetic rate coefficients as determined during the model calibration and verification process. The required DOT in this case is found to be 96 %, whereas the DOT is 86 % if adjusted biokinetic rate coefficients are used to reflect the effect of wastewater treatment. The cost of wastewater treatment is known to increase exponentially as the removal efficiency increases; therefore, the use of appropriate biokinetic coefficients to manage the water quality in rivers is important.
针对一条受到严重污染且流量变化较大的拉维河,建立了溶解氧模型并对其进行了校准和验证。模型校准是在中等流量条件下(431.5 m³/s)进行的,而模型验证则是使用低流量条件(52.6 m³/s)下采集的数据进行的。通过测量河水中的碳源生化需氧量(CBOD)和氮源生化需氧量(NBOD)的浓度,确定了生物动力学速率系数(K(cr)和 K(n))。计算得到的 Kcr 和 Kn 值分别为 0.36 天-1 和 0.34 天-1。DO 模型结果与现场值之间的高度一致性表明,验证后的模型可用于制定拉维河的 DO 管理策略。生物动力学系数随处理程度(DOT)而变化,因此需要对其进行调整,以构建合理的水质管理模型。通过使用验证后的模型,使用模型校准和验证过程中确定的生物动力学速率系数,使河中的 DO 标准达到 4 mg/L,从而评估了这种变化对处理水平的影响。在这种情况下,所需的 DOT 为 96%,而如果使用调整后的生物动力学速率系数来反映废水处理的影响,则 DOT 为 86%。众所周知,随着去除效率的提高,废水处理的成本会呈指数级增加;因此,使用适当的生物动力学系数来管理河流中的水质非常重要。