The influence of heavy metals in road dust on the surface runoff quality: Kinetic, isotherm, and sequential extraction investigations

Zhang, Jin; Wang, Xun; Zhu, Yu; Huang, Zhenyu; Yu, Zhujing; Bai, Yun; Fan, Gongduan; Wang, Peng; Chen, Hao; Su, Yiming; Trujillo‐González, Juan Manuel; Hu, Bill X.; Krebs, Peter; Hua, Pei

doi:10.1016/j.ecoenv.2019.03.106

Cited by 35 publications

(7 citation statements)

References 57 publications

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“…Because of this, the interaction of 2,4‐DCP and the AC at low pH values increased, as expected, and the adsorption capacity declined (Figure ). The results show that the adsorption process is pH‐dependent, which agrees with a recent report …”

Section: Resultssupporting

confidence: 92%

“…Our study gave a value of 90 min. In this study, unlike the other experimental studies in literature, the majority of the treatment efficiency was obtained in 15 minutes . The contact time is seen clearly in Figure .…”

Section: Resultsmentioning

confidence: 56%

“…Mathematical models, such as pseudo‐first‐order, pseudo‐second‐order, Elovich, and intraparticle diffusion, were used for adsorption experiments to understand and clarify the adsorption mechanism. These models' equations are given below (Equations :

\ln ((), q_{e} - q_{t}) = \ln q_{e} - k_{1} t

\frac{t}{q_{t}} = \frac{1}{k_{2} {q_{normale}}^{2}} + \frac{t}{q_{normale}}

q_{t} = a + B \ln t

q_{t} = C + k_{id} \sqrt{t}

where q e is the equilibrium adsorption capacity (mg/g), q t is the amount of adsorbate adsorbed at time t (mg/g), k 1 (min −1 ) and k 2 (g mg −1 min −1 ) are the pseudo‐first‐order and pseudo‐second order rate constants, α and β are related to the Elovich equilibrium constant, C (mg/g) is the constant for intraparticle diffusion, and k id (mg g −1 min –½ ) is the intraparticle diffusion rate.…”

Section: Methodsmentioning

confidence: 99%

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Adaptive neuro‐fuzzy inference system modeling of 2,4‐dichlorophenol adsorption on wood‐based activated carbon

Alver

Baştürk

Tulun

et al. 2020

Env Prog and Sustain Energy

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Phenolic compounds cause significant problems both in drinking water and wastewater due to their toxicity, high oxygen requirements, and low biodegradability. They are listed as primary pollutants by the United States Environmental Protection Agency and the European Union. In this study, the adsorption efficiency of 2,4‐dichlorophenol (2,4‐DCP) on activated carbon, which is commonly used in treatment plants, was investigated under different experimental conditions including adsorbent dose, initial phenol concentration, initial pH, and contact time. As a result of experimental studies, it was determined that the adsorption isotherm and kinetics could be perfectly fitted to Langmuir and the assumption of pseudo‐second order model, respectively. Then, the adaptive neuro‐fuzzy inference system (ANFIS) model was developed, which was the primary purpose of this study. The correlation between training and testing data and the ANFIS output was over 0.999. The generalization ability of the model was found to be 0.999. The input variables such as adsorbent dosage (14.2%), initial concentration (14.6%), initial pH (13.9%), and the contact time (57.2%) showed a higher effect on 2,4‐DCP removal efficiency in the sensitivity analysis. To summarize, modeling studies that are frequently preferred in treatment plants for the removal of different pollutants will reduce the number of experiments harmful to human health and save time, labor, and economy.

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Section: Resultssupporting

confidence: 92%

Section: Resultsmentioning

confidence: 56%

\ln ((), q_{e} - q_{t}) = \ln q_{e} - k_{1} t

\frac{t}{q_{t}} = \frac{1}{k_{2} {q_{normale}}^{2}} + \frac{t}{q_{normale}}

q_{t} = a + B \ln t

q_{t} = C + k_{id} \sqrt{t}

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive neuro‐fuzzy inference system modeling of 2,4‐dichlorophenol adsorption on wood‐based activated carbon

Alver

Baştürk

Tulun

et al. 2020

Env Prog and Sustain Energy

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“…In fact, these factors influence the soil heavy metal variability on a large scale. On a small scale, in the vicinity of the roads, a number of factors aside from traffic density will explain pollutant concentration away from the roadside [55]. In the tropical area, the land use types, topography, and land coverage may affect the distribution, and our analysis verified the phenomenon in the study area [56].…”

Section: Quantification Of the Influencing Factors Of Heavy Metals Ansupporting

confidence: 62%

Effects of Landscape Features on the Roadside Soil Heavy Metal Distribution in a Tropical Area in Southwest China

et al. 2021

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Soil heavy metals along roadsides pose a great threat to ecosystems while their spatial variations and influencing factors still remain unclear in some regions, especially in tropical areas with complex landscape characteristics. Our study was carried out to determine how the land use, vegetation characteristics, topographical factors and distance to the road affect the soil heavy metal distribution. Taking Jinghong county in Yunnan Province, Southwest China as a case, soil samples were collected at different distances off roads and canonical correspondence analysis (CCA) methods were used to determine the relative importance of different factors. Our results showed that heavy metal sources were obtained mainly from the road, based on the principle component analysis (PCA) identification. There were no obvious trends of soil quality index (SQI) with distance to the road in natural soils, while SQI nutrients and SQI metals in farmlands had a decreasing and increasing trend, respectively, which could both be expressed by logarithm models. However, soil properties showed little differences for road levels while they showed significant differences under land use types. The CCA further showed that heavy metal variations in natural soils were jointly affected by distance, plant coverage, relative elevation and soil properties in decreasing order.

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“…Tan, 2005) was likely insufficient to reach exchange equilibrium. Previous studies have shown that while >75% of metal adsorption in batch experiments occurred within the first 30 min, some metals could take up to 300 min to reach a steady‐state solution concentration (Zhang et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Preliminary Evidence of Transport‐Limited Chemical Weathering and Element Immobility in the Ganges Tidal Delta Plain of Bangladesh

Ayers

Patton

Dietrich

2020

Geochem Geophys Geosyst

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Previous studies have documented a weathering‐limited regime in the upper reaches of the Ganges River Basin. Chemical weathering and element mobility at six sites in the lower reaches of the Ganges‐Brahmaputra tidal floodplain of southwest Bangladesh were investigated by comparing compositions of rice paddy soils, precursor tidal channel sediments, surface waters, and extract solutions, which represent the soluble fraction of solids. Little spatial variation in water and solid compositions is observed in each season, indicating similar processes are acting to transport elements across this region. Roughly one to several decades after deposition, rice paddy soils are not significantly different in mineralogy or composition from precursor tidal channel sediments, and both are similar to the composition of average upper continental crust. Soil and sediments contain mostly stable, cation depleted minerals, and coexisting waters are saturated in those minerals. There is no detectable change in composition of tidal channel water between upstream and downstream sites. Together, these observations indicate the dominance of weathered material and weak chemical weathering in the tidal floodplain, consistent with a transport‐limited regime. Multiple lines of evidence indicate a lack of exchange equilibrium between surface waters and coexisting solids, which may be a common feature in tidal river deltas where transport‐limited regimes likely dominate.

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The influence of heavy metals in road dust on the surface runoff quality: Kinetic, isotherm, and sequential extraction investigations

Cited by 35 publications

References 57 publications

Adaptive neuro‐fuzzy inference system modeling of 2,4‐dichlorophenol adsorption on wood‐based activated carbon

Adaptive neuro‐fuzzy inference system modeling of 2,4‐dichlorophenol adsorption on wood‐based activated carbon

Effects of Landscape Features on the Roadside Soil Heavy Metal Distribution in a Tropical Area in Southwest China

Preliminary Evidence of Transport‐Limited Chemical Weathering and Element Immobility in the Ganges Tidal Delta Plain of Bangladesh

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