Evaluation of the logistic model for GAC performance in water treatment

Abstract

Full‐scale field measurement and rapid small‐scale column test data from the Greater Cincinnati (Ohio) Water Works (GCWW) were used to calibrate and investigate the application of the logistic model for simulating breakthrough of total organic carbon (TOC) in granular activated carbon (GAC) contactors. The logistic model parameters were estimated using a nonlinear regression algorithm. The calibrated logistic model was validated using data from multiple GAC contactors operating in parallel at the GCWW Richard Miller Treatment Plant. This facility has experienced large seasonal variations in flow rate and TOC influent concentration. Proper estimation of logistic model parameters depends on the run‐time length of the GAC breakthrough data set. A critical minimum runtime threshold must be achieved to produce reliable parameter estimates. A properly calibrated logistic model provides an effective tool for accurately simulating the blended TOC concentrations in the GAC contactor effluent at a municipal drinking water treatment plant.

Developing a Model-Based Drinking Water Decision Support System Featuring Remote Sensing and Fast Learning Techniques

“…For example, a calibrated logistic model for granular activated carbon (GAC) unit process is applied to simulate the changes of the finished water quality parameter given the estimated or assumed range of water quality parameters at the drinking water intake. Model parameters are estimated based on a nonlinear regression algorithm [57]. With the aid of the calibrated logistic model, the employed GAC units in a water treatment plant can be operated in such a way that mitigates the effects of sudden changes in influent concentrations of TOC and turbidity.…”

Toward quantitative analysis of water-energy-urban-climate nexus for urban adaptation planning

“…Notable potential technological frontiers are: 1) water treatment and production by forward osmosis, pervaporation, liquidgas separations and other advanced technologies [62][63][64][65][66][67][68][69]; 2) water-saving energy generation [5,7,37 ,38] and CCS technologies (e.g., [70]); 3) nutrient harvesting and energy recovery in wastewater [42,65]; 4) process optimization in energy, water and material production [65,[71][72][73][74][75][76][77][78]; and 5) green-chemistry, green production and green communities with minimized environmental impact from production and consumption [69][70][76][77][78][56][57][58]. A concise overview of the water-energy nexus and its complex interactions is provided in Sikdar and Murray [79].…”

Securing Water and Wastewater Systems

“…Climate change may affect both surface water and groundwater quality. Although some areas may experience increases in runoff due to shifts in the spatial and temporal distribution of precipitation, some areas may experience droughts resulting in elevated levels of potentially toxic algae, and high concentrations of organic matters, bacteria, etc (Whitehead et al 2006(Whitehead et al , 2009Interlandi and Crockett 2003;Jacobs et al 2001). …”

“…Climate change may affect both surface water and groundwater quality. Although some areas may experience increases in runoff due to shifts in the spatial and temporal distribution of precipitation, some areas may experience droughts resulting in elevated levels of potentially toxic algae, and high concentrations of organic matters, bacteria, etc (Whitehead et al 2009;Interlandi and Crockett 2003;Jacobs et al 2001). Some of these changes may have an adverse impact on the ability of drinking water utilities to meet Drinking Water regulations, therefore, requiring treatment systems to make major changes in their operations.…”