Skip to main content
Data in Brief logoLink to Data in Brief
. 2017 Mar 9;11:634–639. doi: 10.1016/j.dib.2017.03.006

Electrocoagulation process to Chemical and Biological Oxygen Demand treatment from carwash grey water in Ahvaz megacity, Iran

Mohammad Javad Mohammadi a,b, Afshin Takdastan c,d,, Sahand Jorfi c,d, Abdolkazem Neisi c,d, Majid Farhadi e, Ahmad Reza Yari f, Sina Dobaradaran g,h, Yusef Omidi Khaniabadi i
PMCID: PMC5369263  PMID: 28377993

Abstract

In this work, we present the result of an electric coagulation process with iron and aluminum electrodes for removal of chemical and biological oxygen demand (COD and BOD) from grey water in different car washes of Ahvaz, Iran. Nowadays, one of the important dangerous that can contaminate water resources for drinking, agriculture and industrial is Car wash effluent [1,2]. In this study, initial COD and BOD concentration, pH of the solution, voltage power and reaction time was investigated. The concentration level of remaining COD and BOD in samples was measured, using DR/5000 UV–vis HACH spectrophotometer [3,4]. The effects of contact time, initial pH, electrical potential and voltage data on removal of COD and BOD were presented. Statistical analysis of the data was carried out using Special Package for Social Sciences (SPSS 16).

Keywords: Grey water effluent, Electrocoagulation, COD removal, BOD removal


Specifications Table

Subject area Environment
More specific subject area Chemical and biological oxygen demand
Type of data Table, figure
How data was acquired DR/5000 UV–vis HACH spectrophotometer
Data format Raw, analyzed
Experimental factors
  • For samples collection from different grey water of Ahvaz, a glass tank was used with a volume of 2–4 l, containing 3 electrode-plate iron and aluminum (Al-Al, Al-Fe, Fe-Fe) was used for Electrocoagulation removal.

  • After collection of wastewater along the car washes, added Sulfuric acid (H2SO4), potassium dichromate (K2Cr2O7), mercury sulfate (HgSO4), silver sulfate (Ag2SO4), potassium hydrogen phthalate (C8H5KO4) and 3-methyl-2-benzothiazoline, then it was stored in a dark place at 4 °C temperature until the metals analysis

  • The effects of contact times, initial pH, electrical potential and voltage were examined.

Experimental features Electrocoagulation between many treatment processes having to be cost-effective for wastewater treatment with pollutant wide range.
Data source location Ahvaz, Iran
Data accessibility Data is with this article.

Value of the data

  • These data describe changes in COD and BOD removal from grey water by electrocoagulation process.

  • Data show that electrocoagulation can be used as cost-effective for removal of other pollutant from wastewater.

  • Data of this study can be used to design the electrocoagulation experiments for removal of wide range of pollutant in wastewater.

  • Data are important for discharge environment especially resource water, aqueous and agriculture.

1. Data

In this article the data in Table 1 present the measured parameters and characteristics of the raw grey water that used for description of experiments. Calculated values of K (1/min) and kWh/m3 in the grey water effluent are reported in Table 2. Fig. 1, Fig. 2 show data of different arrangements under optimal conditions applied in this study. The maximum removal efficiency (90.18%) of COD and BOD was obtained at optimum pH=7, level of 30 voltage, and contact time of 90 min. The effects of optimum parameters on removal efficiency of COD and BOD are shown in Fig. 3.

Table 1.

Parameters measured and characteristics of the raw carwash wastewater used for this study.

Parameter Range Unit Raw wastewater
Mean±S.D
pH 3, 7, 11 7.08±0.03
Steering time 30, 60, 90 min
Voltage 10, 20, 30 Volt
Electrode type Al–Al, Fe–Fe, Al–Fe
BOD (mg/L) (102−246)±207.3
COD (mg/L) (480−1560)±207.3

Table 2.

Electrode type, voltage, pH, K (1/min) and kWh/m3 values in the removal of COD and BOD in the present study.

Electrode type Voltage pH K (1/min) kWh/m3
Fe–Fe 30 7 14.15 787.5
3 11.61 1575
11 8.73 2362.5
20 7 10.29 450
3 9.76 900
11 9.24 1350
10 7 8.53 189
3 4.43 378
11 3.62 567
Al–Al 30 7 18.24 675
3 13.92 1350
11 15.10 2025
20 7 14.58 330
3 10.80 660
11 10.51 990
10 7 12.23 159
3 8.27 318
11 8.91 477
Al–Fe 30 7 13.99 900
3 13.89 1800
11 11.42 2700
20 7 11.79 540
3 9.77 1080
11 11.30 1620
10 7 9.76 240
3 8.17 480
11 6.21 720

K (1/min) is the rate constant of removal (1/min) related to the removal of COD and BOD.

Fig. 1.

Fig. 1.

(a) Aluminum electrode, (b) Aluminum – Iron electrode, and (c) Iron electrode applied in the different Voltage on COD removal efficiency .

Fig. 2.

Fig. 2.

(a) Aluminum electrode, (b) Aluminum – Iron electrode, and (c) Iron electrode applied in the different Voltage on BOD removal efficiency .

Fig. 3.

Fig. 3.

(a) Aluminum electrode, (b) Aluminum – Iron electrode, and (c) Iron electrode applied in the optimum pH=7 and voltage=30 on COD and BOD removal efficiency.

2. Experimental design, materials and methods

2.1. Sample collection and analytical procedures

Our data set was obtained from All Car washes. The raw grey water was obtained along the Ahvaz in Iran. The initial concentration of samples has been tested for determination of COD and BOD. To adjust the primary pH of the solution, the sulfuric acid and one-tenth normal sodium hydroxide were used. A lab-scale reactor with diameters of 15 cm×15 cm×15 cm was used for performing experiments. Sulfuric acid (H2SO4), potassium dichromate (K2Cr2O7), mercury sulfate (HgSO4), silver sulfate (Ag2SO4), potassium hydrogen phthalate (C8H5KO4), 3-methyl-2-benzothiazoline hydrazine were used for preparing COD and BOD solutions in grey water. Steering time of 30, 60 and 90 min, voltage values of 10, 20 and 30 v were used in this study. At each experiment, removal efficiency of COD and BOD in grey water with special Al–Al, Al–Fe, Fe–Fe electrode was investigated. Spectrophotometer (DR/5000 UV–vis HACH) was used to investigate the remaining concentration level of COD and BOD in the grey water effluent [5]. Following equation was applied to calculate the electrocoagulation electrical energy consumption during experiments [4], [5].

EEV=U×I×tVr

where: U is voltage used in the process (V), I is intensity of the applied current (A), t is reaction time (min) and Vr is reactor volume (Lit).

Acknowledgments

The authors would like to thank student Research committee, Ahvaz Jundishapur University of Medical Sciences for providing financial supported by grant: (95s45) of this research.

Footnotes

Transparency document

Transparency data associated with this article can be found in the online version at 10.1016/j.dib.2017.03.006.

Transparency document. Supplementary material

Supplementary material

mmc1.doc (39.5KB, doc)

.

References

  • 1.Takdastan A., Azimi A., Jaafarzadeh N. Biological excess sludge reduction in municipal wastewater treatment by chlorine. Asian. J. Chem. 2010;22:1665–1670. [Google Scholar]
  • 2.Hassani G., Babaei A.A., Takdastan A., Yousefian F., Mohammadi M.J. Occurrence and fate of 17β-estradiol in water resources and wastewater in Ahvaz. Iran, Global. Nest. J. 2016;18:855–866. [Google Scholar]
  • 3.Bazrafshan E., KordMostafapoor F., Soori M.M., Mahvi A.H. Application of combined chemical coagulation and electrocoagulation process to carwash wastewater treatment. Fresen. Environ. Bull. 2012;21:2694–2701. [Google Scholar]
  • 4.Al-Shannag M., Bani-Melhem K., Al-Anber Z., Al-Qodah Z. Enhancement of COD-nutrients removals and filterability of secondary clarifier municipal wastewater influent using electrocoagulation technique. Sep. Sci. Technol. 2013;48:673–680. [Google Scholar]
  • 5.Kobya M., Delipinar S. Treatment of the baker׳s yeast wastewater by electrocoagulation. J. Hazard. Mater, 2008;154:1133–1140. doi: 10.1016/j.jhazmat.2007.11.019. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary material

mmc1.doc (39.5KB, doc)

Articles from Data in Brief are provided here courtesy of Elsevier

RESOURCES