This work assessed the elimination of dissolved organic matter (DOM) in road runoff by a granular sludge-clay (GSC) adsorbent. The rates of adsorption were found to be consistent with the pseudo-second-order kinetic model. The data at equilibrium resulted in a maximum adsorption capacity of 4.466 mg/g at 298 K, which was in good agreement with the Langmuir isotherm model. The adsorption of DOM relies on pH. The higher removal efficiency of DOM was observed at pH 4.0 and 7.0. To clarify the related adsorption mechanism, isolated DOM fractions and their removal potentials were identified. The results showed hydrophobic acid (HoA) and hydrophobic neutral (HoN) fractions which contained abundant fulvic-like substances were more preferentially removed by the GSC. The adsorption mechanism of DOM in road runoff by GSC involves both electrostatic attraction and ligand exchange reactions. GSC synthesized using the sludge from waterworks is a very promising filler to replace soils or gravels that can be applied in some green infrastructures for removing DOM from road runoff.

  • A granular sludge-clay (GSC) adsorbent prepared using sludge from waterworks can effectively remove the DOM in road runoff.

  • The adsorption of DOM by GSC was highly dependent on pH.

  • HoA and HoN fractions were more preferentially adsorbed by GSC.

  • The adsorption mechanism of DOM in road runoff by the GSC involves both electrostatic attraction and ligand exchange reactions.

Graphical Abstract

Graphical Abstract

Abundant pollutants, such as suspended solids, nutrients, organics, and heavy metals, are detected in road runoff and have been deemed as predominant non-point pollution sources for the urban aquatic environment (Gilbert & Clausen 2006). Among these pollutants, dissolved organic matter (DOM) was the most detected. DOM has been of particular concern due to its widespread occurrence in gasoline leaks, vehicle exhaust, and tire wear (Howe & Clark 2002; Opher & Friedler 2010; Zhao et al. 2015). Previous studies have reported that DOM in road runoff contains a large number of aromatic and aliphatic moieties with alcoholic and phenolic hydroxyls, carboxyl, and methoxyl functional groups, and so on (Sun et al. 2005; Tan & Kilduff 2007; Zhao et al. 2018). Such properties of DOM present in road runoff result in its strong affinity for many contaminants (e.g. heavy metals, nutrients, colloids, endocrine disruptors, etc.), and then influence their transport and fate (Guan et al. 2006; Yang et al. 2013; Philippe & Schaumann 2014; Ding et al. 2019). Thus, it has been desirable to develop technologies removing DOM to simultaneously control these contaminants.

Researchers have tested various methods to remove DOM in drinking water. Conventional coagulants such as poly aluminum chloride (PAC) and polymerization ferric chloride (PFC) have been found capable of adsorbing DOM via ligand exchange between the hydrous oxide and metal ions in coagulants and negative surface charged DOM, thus forming hydrolysis products or hydroxide precipitate (Matilainen et al. 2010; Hussain et al. 2013; Zhou et al. 2017). Precipitate sludge is a cost-effective adsorbent owing to its high annual production. It has been reported that the annual production of sludge with a water content of 70% is 2 × 107 tons in China (Guo et al. 2010), causing considerable concerns over its disposal and the associated cost. In order to reuse this sludge more effectively, numerous new sludge-based materials have also been found and tested in recent years. For example, a granular sludge-clay (GSC) adsorbent using the readily available sludge from waterworks was synthesized to investigate the removal of Cu(II), Zn(II), and Cd(II). The GSC demonstrated good effectiveness for the removal of heavy metals (Du et al. 2020). Therefore, the extensive use of sludge has become an important issue from the point of view of engineering applications.

In addition to the removal of heavy metals, sludge has been extensively investigated as an adsorbent for some specific pollutants, like nitrogen and phosphorus, for example (Yang et al. 2006, 2015; Zhou & Haynes 2011; Luo et al. 2013; Siswoyo et al. 2014). Due to the good DOM removal characteristics of coagulants, sludge containing coagulants is feasible to apply as a filler in the construction of some green infrastructures (e.g. wetlands, bioretentions, rain gardens, etc.) for removing DOM in road runoff. As such, the target of this study was to test the adsorption capacity of GSC on DOM in road runoff. To further elucidate the underlying adsorption mechanisms, the DOM fractions that lead to the highest removal rate of dissolved organic carbon (DOC) were investigated.

DOM in road runoff

Brown wide-mouth bottles were used to collect road runoff from the ditch of Chegongzhuang Street in Beijing (39°55′N, 116°20′E) on March 20th, 2019. The site is an arterial street with approximately 10,000 cars per day in the downtown district. The collected samples were transported to the laboratory and stored as DOM stock solutions in the dark at 277 K after filtration with 0.45 μm membranes. Before each subsequent batch experiment, the DOC concentration of the stock solutions was measured by a total organic carbon analyzer (multi N/C3100, Jena, Germany), and then the stock solution was diluted to the desired DOC concentration.

Adsorbent

The sludge and clay were obtained from the Third Water Purification Plant in Beijing, China, and from river bank soil in Shanghai, China. The sludge and clay were thoroughly mixed with a mass quantitative relation of 1:2, and then an appropriate volume of water was added in a mechanical mixer to mix well. Afterward, pellets with particle sizes ranging from 2 to 3 mm were prepared for the experiments, dried in an oven set at 380 K for 2 h, and then baked in a muffle furnace at 873 K for 1 h. The obtained pellets were then collected and denoted as GSC.

Batch adsorption experiment

Adsorption kinetics

The DOM stock solution of road runoff was diluted to a solution with a DOC concentration of 15 mg/L using ultrapure water at pH 7.0. Based on pre-experiments, 0.5 g GSC was added to 40 mL of the solution, and then the mixture was shaken on an orbital shaker at 120 rpm at 298 K. Finally, samples of the mixture were gathered at defined times (t = 5, 10, 20, 30, 60, 120, 240, and 360 min) to determine DOC concentrations.

Adsorption isotherm

DOM stock solutions of DOC concentrations within 0–100 mg/L at pH 7.0 were prepared and 0.5 g GSC was added to each of these solutions. Then the mixtures were shaken on an orbital shaker at 120 rpm at 298 and 318 K. After being stirred for 12 h, the supernatants were filtered by 0.45 μm membranes, and the residual DOC concentration was determined.

Effect of pH

To investigate the effect of pH, 0.5 g GSC was added to various 40 mL DOM solutions (pH 3.0–11.0) with a DOC concentration of 15 mg/L. The mixtures were shaken on an orbital shaker at 120 rpm at 298 K for 12 h, and then DOC concentrations were determined.

Characterization of DOM

Fluorescence spectroscopy

The fluorescence excitation emission spectra (EEM) of DOM solutions before and after adsorption by GSC were measured with a Hitachi F-7000 fluorescence spectrophotometer (F-7000, Hitachi, Japan). EEM spectra were collected with both emission (Em) and excitation (Ex) wavelengths in the range of 200–550 with a step of 5 nm. The Em and Ex slits were kept at 5 nm with a scan speed of 1,200 nm/min. An emission cutoff filter of 290 nm was used for the scans to eliminate Rayleigh scattering, and fluorescence spectrometry data from deionized water was eliminated by a blank control experiment. Origin 8.5 software (Origin Lab Co., MA, USA) was used to generate the contour map of Ex/Em.

Resin isolation of runoff DOM

DOM solutions before and after GSC adsorption were isolated according to the method reported by Aiken (Aiken et al. 1992; Imai et al. 2002). According to the different adsorption characteristics of DOM on XAD-8 resin, MSC resin, and Duolite A-7 resin, the DOM in road runoff was classified into six fractions: hydrophilic acids (HiA), hydrophilic basic (HiB), hydrophilic neutral (HiN), hydrophobic acids (HoA), hydrophobic basic (HoB), and hydrophobic neutral (HoN). Then the DOC concentrations in six DOM fractions were measured. The organic carbon mass balance of resin isolation was assessed at 100 ± 10% in this study.

Fourier transform infrared (FTIR)

A sample 30 mL of each DOM fraction was lyophilized to powder, and then 1% of the powder was mixed with 99% dried spectrometry grade KBr. The powder mixture was ground and pressed to a film for a FTIR spectra scan with a Nicolet 6700 Thermo Fisher Scientific FTIR spectrometer covering a wavenumber range of 4,000–400 cm−1.

Adsorption kinetics of road runoff DOM by GSC

Figure 1 shows the adsorption kinetics of road runoff DOM by GSC. The rate of DOM adsorption in the preliminary stage of the reaction was rapid, and the adsorption was capable of equilibrium within 30 min, with a high road runoff DOM removal efficiency of 59% at equilibrium, and nearly 97% of the GSC adsorption capacity was filled. Observation indicates that GSC plays an important role in DOM adsorption in road runoff, which is attributed to the easily accessible active sites on the GSC surface at high initial DOM concentration. However, in 30–60 min, the intra-particle diffusion (dominant) resulted in much slower kinetics and lower DOM adsorption capacity because of the fewer active site on the GSC surface and lower concentration of DOM.
Figure 1

Adsorption kinetics of road runoff DOM by GSC.

Figure 1

Adsorption kinetics of road runoff DOM by GSC.

Close modal
To explore the mechanism for adsorption of DOM by GSC, pseudo-first-order kinetic (1) and pseudo-second-order kinetic (2) equations were utilized to interpret the experimental data:
(1)
(2)
where t (min) is reaction time; qe (mg/g) and qt (mg/g) are the adsorption capacities of GSC at equilibrium and time t, respectively; k1 (1/min) and k2 (g/(mg·min)) are the rate constants.

It is inferred from the coefficient of determination (R2) values (Figure 1) that the pseudo-second-order model is more appropriate for simulating the adsorption kinetics of GSC (R2 = 0.9934), indicating that chemisorption is the mode of DOM adsorption by GSC. This relates to valence forces generated by sharing or exchanging electrons between the DOM and GSC surfaces (Bouzid et al. 2008).

To elucidate the underlying mechanisms for diffusion during the adsorption, the experimental data were analyzed with an intra-particle diffusion model (Equation (3)) (Bhowmik et al. 2018; Debnath et al. 2020).
(3)
where kp (mmol/(g·min0.5)) is the intra-particle rate constant, c is the intercept of a straight line on the Y-axis. If a straight line is displayed between qt and t0.5 and past the origin, the intra-particle diffusion is considered the rate-limiting step to adsorption (Demiral & Güngör 2016).
Figure 2 shows the kinetic experiment data fitted to the intra-particle diffusion model. A multilinear relationship was observed between qt and t0.5, indicating that the entire process can be broken down into three major steps. The first portion of the line (t = 5–20 min) with a sharp slope could be attributed to the external surface or instantaneous adsorption, whereas the second portion (t = 20–60 min) describes the adsorbed phase of the DOM diffused internally onto the GSC surface (Liu et al. 2017). Lastly, when the reaction time increased from 60 to 360 min, equilibrium was reached with a nearly flat line. Referring to the adsorption of DOM onto GSC, intra-particle diffusion is not the only rate-controlling step, because the intersection point of the Y-axis (i.e., c ≠ 0) was not observed in Figure 2.
Figure 2

Intra-particle diffusion model of road runoff DOM adsorption by GSC.

Figure 2

Intra-particle diffusion model of road runoff DOM adsorption by GSC.

Close modal

Adsorption isotherm of road runoff DOM by GSC

Figure 3 compares the adsorption isotherm of road runoff DOM on the GSC surface at various temperatures (298 and 318 K). With increasing initial DOM concentration, GSC offered higher adsorption capacity. In addition, at elevated temperature (318 K), GSC adsorbed more DOM as DOM concentration increased. Three classic isotherm modes were used to fit the experimental data (Equations (4)–(6) for Langmuir, Freundlich and Temkin isotherm models, respectively):
(4)
(5)
(6)
where ce (mg/L) is the concentration of DOM at equilibrium; qm (mg/g) is the maximum adsorption capacity of DOM; kL (L/mg) is the Langmuir constant associated to the adsorption energy; kF and n are Freundlich constants associated related to the adsorption energy and intensity, respectively; R (8.314 J/(mol·K)) is the universal gas constant; b is the variation of adsorption energy (J/mol) and kT (l/mg) is the equilibrium binding constant; T (K) is the absolute temperature.
Figure 3

Adsorption isotherms of road runoff DOM on GSC surface at different temperatures.

Figure 3

Adsorption isotherms of road runoff DOM on GSC surface at different temperatures.

Close modal

The data for the parameters obtained from the Langmuir, Freundlich and Temkin isotherm models are shown in Table 1. Apparently, the Langmuir model is more appropriate to interpret the adsorption isotherm of DOM for GSC at 298 and 318 K with R2 values of 0.9905 and 0.9861, respectively. The observation suggests that road runoff DOM adsorption onto GSC was monolayer adsorption. Moreover, GSC provided the maximum adsorption capacities (qm) of 4.466 and 4.325 mg/g at 298 and 318 K, respectively, which are significantly higher than those for rice husk ash, goethite, and magnetite (Imyim & Prapalimrungsi 2010; Safiur Rahman et al. 2013).

Table 1

Adsorption isotherm model parameters for road runoff DOM adsorption by GSC

TemperatureLangmuir isotherm model
Freundlich isotherm model
Temkin isotherm model
R2qm(mg/g)kL(L/mg)R2kFnR2bkT
298 K 0.9905 4.466 0.023 0.9673 0.174 1.476 0.9647 3112.56 0.339 
318 K 0.9861 4.325 0.019 0.9624 0.142 1.437 0.9750 3440.12 0.273 
TemperatureLangmuir isotherm model
Freundlich isotherm model
Temkin isotherm model
R2qm(mg/g)kL(L/mg)R2kFnR2bkT
298 K 0.9905 4.466 0.023 0.9673 0.174 1.476 0.9647 3112.56 0.339 
318 K 0.9861 4.325 0.019 0.9624 0.142 1.437 0.9750 3440.12 0.273 

pH effect

Figure 4 shows the adsorption of road runoff DOM onto GSC at different initial solution pH values. Compared with the DOM removal efficiency of 39.7% at neutral pH (pH = 7.0), the adsorption rate of DOM decreased to 34.3% and 34.1% at pH 5.0 and 6.0, respectively, while it increased to 40.8% at pH 4.0. It is worth noting that increasing pH to 8.0 and 9.0 led to remarkably lower removal efficiency of 26.9% and 26.5%, respectively, while further increasing pH to 10.0 and 11.0 resulted in slightly higher removal efficiency of DOM (28.6% at pH = 10.0 and 29.7% at pH = 11.0).
Figure 4

Effect of pH on GSC adsorption of road runoff DOM.

Figure 4

Effect of pH on GSC adsorption of road runoff DOM.

Close modal

Generally, as a result of the dissociation of acidic functional groups of DOM (e.g. carboxylic and phenolic hydroxyl) in aqueous solutions, DOM mainly existed in electronegative forms. On the other hand, the numerous hydroxyl groups on the surface of GSC (e.g. Al-OH and Fe-OH) (Illés & Tombácz 2003; Du et al. 2020) would be protonated in an acidic solution or deprotonated in an alkaline solution, resulting in a positive surface charge or negative surface charge of GSC, respectively. The acid condition (pH < 4) is more favorable for DOM adsorption on GSC due to the electrostatic interaction between DOM and GSC. Because the electrostatic interaction could promote the ligand exchange reaction of DOM with the sorbents (Safiur Rahman et al. 2013), it is thus reasonable to suppose that the ligand exchange was another primary sorption mechanism (e.g. M-OH2+ + R-COO——M-OOC-R + H2O, where M and R represent the functional group of GSC and DOM, respectively). Additionally, at pH = 7.0 (the pHpzc of such GSC has been reported around 7.0 (Tony 2020)), the ligand exchange reactions may occur between the aromatic group and hydrophobic components of DOM (e.g. M-OH + R-COO——M-OOC-R +OH), which results in higher removal efficiency of DOM by GSC (Wu et al. 2008).

Adsorption mechanism

EEM fluorescence spectra

Figure 5 shows the three-dimensional fluorescence spectra of the road runoff DOM samples before and after adsorption. The EEM fluorescence spectra of DOM before adsorption demonstrate three main peaks. Peak A observed at Ex/Em of 240/380 nm was deemed as fulvic-like fluorescence. Peak C and peak D observed at Ex/Em of 230/350 and 280/350 nm were both assigned to protein-like fluorescence, associating with aromatic tyrosine substances and tryptophan substances, respectively (Du et al. 2014). In particular, road runoff DOM exhibited high intensity of fulvic-like substances. After adsorption, the fluorescence intensity of peak A and peak C became weaker and peak D disappeared, indicating the content of fulvic-like substances and protein-like substances in road runoff DOM decreased. Additionally, the location of peak A and peak C were blue-shifted to shorter wavelengths (Ex/Em of 240/370 and 220/320 nm, respectively) in the EEM fluorescence spectra of the adsorbed DOM. Generally, the blue shift of peaks in EEM fluorescence spectra has been ascribed to the decomposition of condensed aromatic groups and macromolecules, such as a reduction in the number of aromatic rings, the decrease of conjugated bonds in a chain structure, or the elimination of functional groups (Senesi 1990), implying that the ligand exchange reactions between road runoff DOM and GSC might prompt the elimination of carboxyl groups of DOM.
Figure 5

Fluorescence spectra of road runoff DOM before and after adsorption by GSC. (a) Before adsorption; (b) After adsorption.

Figure 5

Fluorescence spectra of road runoff DOM before and after adsorption by GSC. (a) Before adsorption; (b) After adsorption.

Close modal

DOM fractions removal

DOM fractions with different molecular weights or chemical structures affect the adsorption efficiency and adsorption mechanism (Zhang et al. 2009). Figure 6 displays the proportion and concentration variation of six DOM fractions expressed in DOC before and after adsorption. Compared to hydrophilic DOM fractions, more hydrophobic DOM fractions were found in the road runoff (accounting for 74% of total DOM), of which HoA and HoN were the dominant fractions, making up more than 71.03% of the total DOM. Abundant HoA and HoN in DOM were attributed to large amounts of PAHs in the road runoff produced by leaked gasoline, dissolved bitumen, and so on (Aryal & Lee 2009). The removal efficiency of DOM fractions after adsorption by GSC can be ranked in the sequence of: HoA > HoN > HiB > HoB > HiN > HiA, in which the removal rate of HoA and HoN was over 70%. The other four DOM fractions (HiB, HoB, HiN, and HiA) presented lower removal efficiency, with DOC removal rates ranging from 2.23% to 16.64%.
Figure 6

Proportion and concentration of DOM fractions expressed in DOC before and after adsorption by GSC. (a) the proportion distribution; (b) the concentration distribution.

Figure 6

Proportion and concentration of DOM fractions expressed in DOC before and after adsorption by GSC. (a) the proportion distribution; (b) the concentration distribution.

Close modal

Because hydrophobic organics could be absorbed through ligand exchange reactions by the adsorbent (Wu et al. 2008), the higher removal efficiency of hydrophobic fractions further evidenced the ligand exchange reaction between the DOM and the GSC. Generally, the dominant hydrophobic organics in road runoff are related to the aromatic and aliphatic structures with higher molecular weights, while hydrophilic organics are associated with carbon hydrates with lower molecular weights (Wang et al. 2009; Zhang et al. 2020b). So the DOM fractions with high molecular weights and high levels of unsaturated structure are preferentially adsorbed, which agrees with the report by Zhang et al. 2020a). Specifically, the fulvic-like substances contained in HoA and HoN fractions (see peak A in Figure S1 in the Supplementary Material) related to the unsaturated and oxygen-containing functional aromatic structures were preferentially removed by GSC, leading to higher removal efficiency of HoA and HoN.

FTIR analysis

Figure 7 shows the FTIR spectra of six DOM fractions in the road runoff. The bands found at 1,590–1,670 cm−1 are for the stretching vibration of C = O or C = C in the aromatic nucleus, and the bands at 1,370–1,465 cm−1 are for C-H stretching vibration in aliphatic compounds, O-H flexural vibration in carboxylic acid compounds and C-O stretching vibration in aldehyde compounds (Knoth de Zarruk et al. 2007; He et al. 2013). These bands were observed in all DOM spectra, indicating that the six DOM fractions were composed of carbonyl, carboxyl, and hydroxyl groups. The band around 605–860 cm−1 found in acidic fractions was attributed to the deformation vibration of O-H in carboxylic acid compounds and the flexural vibration of C-H in aromatic nuclei. The band around 1,000–1,137 cm−1 found in basic and neutral fractions was attributed to C-O stretching vibration in phenols and alcohols (El Fels et al. 2014). The band at 2,800–2,900 cm−1 ascribed to the stretching vibration of carboxylate was observed in the hydrophobic fractions (Giasuddin et al. 2007; Brigante et al. 2010), which show higher intensity in HoA and HoN fractions. The ligand exchange reaction between the carboxylate of DOM and the active sites on the surface of GSC was further verified, leading to the high removal efficiency of HoA and HoN. Thus, electrostatic attraction and ligand exchange reactions were the main mechanisms for road runoff DOM adsorption by GSC, as shown in Figure 8.
Figure 7

FTIR spectra of six DOM fractions in road runoff.

Figure 7

FTIR spectra of six DOM fractions in road runoff.

Close modal
Figure 8

Schematic diagram of the mechanisms for road runoff DOM adsorption by GSC. (where M represents the functional group of GSC).

Figure 8

Schematic diagram of the mechanisms for road runoff DOM adsorption by GSC. (where M represents the functional group of GSC).

Close modal

To control DOM in road runoff and make extensive use of GSC from waterworks, GSC was prepared to remove DOM. The resulting adsorption followed a pseudo-second-order kinetics model and the Langmuir isotherm model. The adsorption of road runoff DOM was observed to be highly dependent on pH, with the highest removal percentage at pH 4.0 and 7.0. EEM fluorescence spectroscopy analysis indicated that fulvic-like substances contributed substantially to road runoff DOM removal. HoA and HoN fractions which contained abundant fulvic-like substances were more preferentially removed by GSC. The adsorption of DOM by GSC was achieved through electrostatic attraction and ligand exchange reactions, i.e. between the carboxyl group of DOM and the hydroxyl group of GSC.

This work was supported by the National Natural Science Foundation of China (grant no. 51878024), the Beijing Outstanding Talent Project for Youth Talent Support Program, and the Pyramid Talent Training Project of Beijing University of Civil Engineering and Architecture (grant no. JDJQ20200302).

All relevant data are included in the paper or its Supplementary Information.

The authors declare there is no conflict of interest.

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Supplementary data