The use of ultra-violet absorbance for monitoring the total organic carbon content of water and wastewater

Dobbs, Richard A.; Wise, Robert H.; Dean, Robert B.

doi:10.1016/0043-1354(72)90017-6

Cited by 162 publications

(59 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A strong, linear correlation between UV absorbance at 254 nm and TOC has k e n found to exist for both raw water and treated water (Dobbs, et al, 1972;Edzwald, et al, 1985). In addition, this correlation has been shown to exist for water that has undergone a number of different treatment conditions, such as in a pilot plant study .…”

Section: )-mentioning

confidence: 99%

“…Each different type of organic material wiU most strongly absorb W light at a different wavelength, however, in the range of 240 to 270 nm, there is very little change in the absorptive capacities of natural waters. (Dobbs, et al, 1972).…”

Section: Surrogate Parameters For Organic Matter Determinationmentioning

confidence: 99%

“…water sources. Correlation coefficients between 0.85 and 0.87 were produced &orn two different studies, (Dobbs, et al, 1972;Ezwald, et al, 1985). These coefficients wodd be expected to irnprove, if pilot plant runs were perforrned under the same conditions.…”

Section: )-mentioning

confidence: 99%

See 2 more Smart Citations

Effects of pre-ozonation and selected advanced water treatment processes on Mount Seymour impoundment water

Bonneville

Smith

2001

Water Supply

View full text Add to dashboard Cite

show abstract

Section: )-mentioning

confidence: 99%

Section: Surrogate Parameters For Organic Matter Determinationmentioning

confidence: 99%

See 1 more Smart Citation

Effects of pre-ozonation and selected advanced water treatment processes on Mount Seymour impoundment water

Bonneville

Smith

2001

Water Supply

View full text Add to dashboard Cite

show abstract

“…Like [DOC] and other lumped detection parameters, UV 254 is representative of the total NOM concentration (Dobbs et al, 1972), but does not distinguish among various components of NOM. Therefore, each observed NOM BTC reflects the combined breakthrough of several component fractions.…”

Section: Column Experimentsmentioning

confidence: 99%

Natural Organic Matter Transport Modeling with a Continuous Time Random Walk Approach

McInnis

Bolster

Maurice

2014

Environmental Engineering Science

View full text Add to dashboard Cite

In transport experiments through columns packed with naturally Fe/Al oxide-coated quartz sand, breakthrough curves (BTCs) of natural organic matter (NOM) displayed strong and persistent power law tailing that could not be described by the classical advection-dispersion equation. Tailing was not observed in BTCs for a nonreactive tracer (sulforhodamine B); therefore, the anomalous transport is attributed to diverse adsorptive behavior of the polydisperse NOM sample rather than to physical heterogeneity of the porous medium. NOM BTC tailing became more pronounced with decreases in pH and increases in ionic strength, conditions previously shown to be associated with enhanced preferential adsorption of intermediate to high molecular weight NOM components. Drawing from previous work on anomalous solute transport, we develop an approach to model NOM transport within the framework of a continuous time random walk (CTRW) and show that under all conditions examined, the CTRW model is able to capture tailing of NOM BTCs by accounting for differences in transport rates of NOM fractions through a distribution of effective retardation factors. These results demonstrate the importance of considering effects of adsorptive fractionation on NOM mobility, and illustrate the ability of the CTRW model to describe transport of a multicomponent solute.

show abstract

“…The employment of optical-electronic systems for the online monitoring of wastewater treatment process is a relatively recent approach [3] but with a promising future [2,4]. Many studies have employed optical-electronic systems to quantify the relationships among several wastewater parameters and several UV-VNIR (ultraviolet-visible and near infrared) spectral features.…”

Section: Introductionmentioning

confidence: 99%

Monitoring Urban Wastewaters’ Characteristics by Visible and Short Wave Near-Infrared Spectroscopy

Melendez-Pastor

Candel

Pedreño

et al. 2013

Water

View full text Add to dashboard Cite

On-line monitoring of wastewater parameters is a major scientific and technical challenge because of the great variability of wastewater characteristics and the extreme physical-chemical conditions that endure the sensors. Wastewater treatment plant managers require fast and reliable information about the input sewage and the operation of the different treatment stages. There is a great need for the development of sensors for the continuous monitoring of wastewater parameters. In this sense, several optical systems have been evaluated. This article presents an experimental laboratory-based approach to quantify commonly employed urban wastewater parameters, namely biochemical oxygen demand in five days (BOD 5 ), chemical oxygen demand (COD), total suspended solids (TSS), and the ratio BOD 5 :COD, with a visible and short wave near infrared (V/SW-NIR) spectrometer (400-1000 nm). Partial least square regression (PLSR) models were developed in order to quantify the wastewater parameters with the recorded spectra. PLSR models were developed for the full spectral range and also for the visible and near infrared spectral ranges separately. Good PLSR models were obtained with the visible spectral range for BOD 5 (RER = 9.64), COD (RER = 10.88), and with the full spectral range for the TSS (RER = 9.67). The results of this study show that V/SW-NIR spectroscopy is a suitable technique for on-line monitoring of wastewater parameters.

show abstract

The use of ultra-violet absorbance for monitoring the total organic carbon content of water and wastewater

Cited by 162 publications

References 7 publications

Effects of pre-ozonation and selected advanced water treatment processes on Mount Seymour impoundment water

Effects of pre-ozonation and selected advanced water treatment processes on Mount Seymour impoundment water

Natural Organic Matter Transport Modeling with a Continuous Time Random Walk Approach

Monitoring Urban Wastewaters’ Characteristics by Visible and Short Wave Near-Infrared Spectroscopy

Contact Info

Product

Resources

About