JoWPPR

Assessment of Arsenic in Groundwater and Surface Water Sources of Gorakhpur District in Uttar Pradesh (India)

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u00a0Shobhit Pathak, Dr. Govind Pandey,

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This study was conducted in 19 blocks and 4 surface water of Gorakhpur district to assess the arsenic content. The study was carried out in the month of February-March, 2021. The result was compared with IS: 10500:2012 and WHO. The increased arsenic content in the water possess serious health issues in humans. The acute health issues being pigmentation on skin and damage to red blood cells. Prolonged exposure leads to liver and kidney cancer. This main focus of this paper is to review the arsenic content and water quality along with the reasons of arsenic contamination in these blocks. It also suggests the prevention methods that are taken and could be taken and also discuss the areas and the gaps that requires further attention in arsenic contamination control in Gorakhpur district. The test was carried out using Spectrophotometer method i.e. Silver Diethyldithiocarbamate (SDDC) method which is a laboratory instrument. This instrument has arsenic detection range from 0.001 to 0.020 ppm. In this method the inorganic arsenic was reduced to arsine by zinc in acid solution in an arsine generator. From this assessment it was found that Gorakhpur district is contaminated by arsenic. Measure step are required to remove this pollution.

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Volume :u00a0u00a08 | Issue :u00a0u00a01 | Received :u00a0u00a0May 12, 2021 | Accepted :u00a0u00a0May 21, 2021 | Published :u00a0u00a0May 31, 2021n[if 424 equals=”Regular Issue”][This article belongs to Journal of Water Pollution & Purification Research(jowppr)] [/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue Assessment of Arsenic in Groundwater and Surface Water Sources of Gorakhpur District in Uttar Pradesh (India) under section in Journal of Water Pollution & Purification Research(jowppr)] [/if 424]
Keywords Arsenic, Groundwater, Surface water, Contamination, Anthropogenic

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References

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1. Gawchha Sushil, Acharya Bishwanath, Dhaka Agni, et al. Assessment of Arsenic content in deep ground water of Kathmandu Valley. NJST. 2020; 19(1): 66-77.
2. BIS. IS:10500:2012. Indian standard specifications for drinking water. New Delhi: BIS, 2012.
3. Chakraborty Dipankar, Das Bhaskar, Mahmudur Rahman Mohammad, et al. Status of groundwater arsenic contamination in the status of West Bengal, India; A 20 year study report. Mol. Nutr. Food Res. 2009; 53(5): 542-551.
4. Kumar Sanjay, Pandey Govind, Sharma Ankit. Assessment of Arsenic in Groundwater in Gorakhpur District, Uttar Pradesh, India. International Journal of Engineering Research & Technology. 2014; 3(12): 766-770.
5. Hameed Kori Abdul, Ali Jakhrani Mushtaque, Ahmed Maheshar Sarfaraz, et al. Risk assessment of arsenic in groundwater of Larkana city. Geology, Ecology & Landscapes. 2018; 2(1): 8-14.
6. Islam M.M Nazrul (2006). GIS based spatial analysis of arsenic-contamination groundwater[online]. Available from https://faculty.kfupm.edu.sa/crp/bramadan/ crp514/Termpapers/Term061/2%20-%20Term061%20-%20Report%20-%20Nazrul.pdf.
7. Chatterjee Amit, Das Dipankar, Chowdhury T.R., et al. Arsenic in groundwater in six districts of West Bengal, India: the biggest arsenic calamity in the world: Part I. Arsenic species in drinking water and urine of the affected people. Analyst. 1995; 120(3): 643-650.
8. Liang Meisheng, Lai Yongkai. 2010 4th International Conference on Bioinformatics and Biomedical Engineering: Determination of the Arsenic Content in Surface Water by Silver Diethyldithiocarbamate Spectrphotometer; 2010 June 18-20; Chengdu, China: IEEE; 2010.
9. S. Clesceri Lenore, E. Greenberg Arnold , D. Eaton Andrew. Standard Methods for the Examination of water and wastewater. 20th ed. Washington D.C.: APHA; 1998.
10. Brunt R, Vasak L, Griffioen J. Arsenic in groundwater: Probability of occurrence of excessiveconcentration on global scale. Utrecht, Netherland: IGRAC; 2004.
11. https://gorakhpur.nic.in
12. https://en.m.wikipedia.org

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[if 424 not_equal=”Regular Issue”] Regular Issue[/if 424] Open Access Article

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Journal of Water Pollution & Purification Research

ISSN: 2394-7306

Editors Overview

jowppr maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

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    Shobhit Pathak, Dr. Govind Pandey

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  1. Student, Professor,M.Tech-Civil (Environmental), M.M.M University of Technology, Gorakhpur, Department of Civil Engineering, M.M.M University of Technology, Gorakhpur,Uttar Pradesh, Uttar Pradesh,India, India
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Abstract

nThis study was conducted in 19 blocks and 4 surface water of Gorakhpur district to assess the arsenic content. The study was carried out in the month of February-March, 2021. The result was compared with IS: 10500:2012 and WHO. The increased arsenic content in the water possess serious health issues in humans. The acute health issues being pigmentation on skin and damage to red blood cells. Prolonged exposure leads to liver and kidney cancer. This main focus of this paper is to review the arsenic content and water quality along with the reasons of arsenic contamination in these blocks. It also suggests the prevention methods that are taken and could be taken and also discuss the areas and the gaps that requires further attention in arsenic contamination control in Gorakhpur district. The test was carried out using Spectrophotometer method i.e. Silver Diethyldithiocarbamate (SDDC) method which is a laboratory instrument. This instrument has arsenic detection range from 0.001 to 0.020 ppm. In this method the inorganic arsenic was reduced to arsine by zinc in acid solution in an arsine generator. From this assessment it was found that Gorakhpur district is contaminated by arsenic. Measure step are required to remove this pollution.n

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Keywords: Arsenic, Groundwater, Surface water, Contamination, Anthropogenic

n[if 424 equals=”Regular Issue”][This article belongs to Journal of Water Pollution & Purification Research(jowppr)]

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References

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1. Gawchha Sushil, Acharya Bishwanath, Dhaka Agni, et al. Assessment of Arsenic content in deep ground water of Kathmandu Valley. NJST. 2020; 19(1): 66-77.
2. BIS. IS:10500:2012. Indian standard specifications for drinking water. New Delhi: BIS, 2012.
3. Chakraborty Dipankar, Das Bhaskar, Mahmudur Rahman Mohammad, et al. Status of groundwater arsenic contamination in the status of West Bengal, India; A 20 year study report. Mol. Nutr. Food Res. 2009; 53(5): 542-551.
4. Kumar Sanjay, Pandey Govind, Sharma Ankit. Assessment of Arsenic in Groundwater in Gorakhpur District, Uttar Pradesh, India. International Journal of Engineering Research & Technology. 2014; 3(12): 766-770.
5. Hameed Kori Abdul, Ali Jakhrani Mushtaque, Ahmed Maheshar Sarfaraz, et al. Risk assessment of arsenic in groundwater of Larkana city. Geology, Ecology & Landscapes. 2018; 2(1): 8-14.
6. Islam M.M Nazrul (2006). GIS based spatial analysis of arsenic-contamination groundwater[online]. Available from https://faculty.kfupm.edu.sa/crp/bramadan/ crp514/Termpapers/Term061/2%20-%20Term061%20-%20Report%20-%20Nazrul.pdf.
7. Chatterjee Amit, Das Dipankar, Chowdhury T.R., et al. Arsenic in groundwater in six districts of West Bengal, India: the biggest arsenic calamity in the world: Part I. Arsenic species in drinking water and urine of the affected people. Analyst. 1995; 120(3): 643-650.
8. Liang Meisheng, Lai Yongkai. 2010 4th International Conference on Bioinformatics and Biomedical Engineering: Determination of the Arsenic Content in Surface Water by Silver Diethyldithiocarbamate Spectrphotometer; 2010 June 18-20; Chengdu, China: IEEE; 2010.
9. S. Clesceri Lenore, E. Greenberg Arnold , D. Eaton Andrew. Standard Methods for the Examination of water and wastewater. 20th ed. Washington D.C.: APHA; 1998.
10. Brunt R, Vasak L, Griffioen J. Arsenic in groundwater: Probability of occurrence of excessiveconcentration on global scale. Utrecht, Netherland: IGRAC; 2004.
11. https://gorakhpur.nic.in
12. https://en.m.wikipedia.org

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[if 344 not_equal=””]ISSN: 2394-7306[/if 344]

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Volume 8
Issue 1
Received May 12, 2021
Accepted May 21, 2021
Published May 31, 2021

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JoWPPR

Model to Predict a Split Range Control of Hot and Cold Water System

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u00a0Ukpaka Chukwuemeka Peter, Orie Kenneth Eze, Dike Blessing,

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nJanuary 10, 2023 at 4:52 am

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Mathematical model was developed to monitor, predict, and stimulate hot and cold water system using split range control application. Computer program language of MATLAB software of ODE function was applied to monitor the trend of temperature parameter in the system. Result obtained revealed decrease in temperature value of the hot water and increase in the temperature value of cold water until equilibrium was attained at 132°F at > 1.0 h. A constant in the degree of temperature of the cold water was obtained at 135°F as well as for hot water is 53°F. The research work demonstrates the application of split range control in monitoring, predicting and simulating the hot to cold water system.

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Volume :u00a0u00a08 | Issue :u00a0u00a01 | Received :u00a0u00a0February 26, 2021 | Accepted :u00a0u00a0April 14, 2021 | Published :u00a0u00a0May 21, 2021n[if 424 equals=”Regular Issue”][This article belongs to Journal of Water Pollution & Purification Research(jowppr)] [/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue Model to Predict a Split Range Control of Hot and Cold Water System under section in Journal of Water Pollution & Purification Research(jowppr)] [/if 424]
Keywords Model, predict, split range, control, hot, cold water system

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References

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1. Richalet, J., Rault, A., Testud, J.L., et.al. Model Algorithmic Control of Industrial Processes. IFAC Proceedings Volumes. 1977; 10(16): 103–120.
2. Aguilera, N., Marchetti, J.L. Optimizing and controlling the operation of heat exchanger networks. AIChE J. 1998; 44(5): 1090–1104.
3. Bao, J., Zhang Wen Z., Lee, Peter L. Passivity-Based Decentralized Failure-Tolerant Control. Ind. Eng. Chem. Res. 2002; 41(23): 5702–5715.
4. Glemmestad, B.,Mathisen, K.W., Gundersen, T. Optimal operation of heat exchanger networks based on structural information. Comput. Chem. Eng. 1996; 20: S823–S828.
5. Dahlin, E. B. Designing and Tuning Digital Controllers. Instruments and Control Systems. 1968; 41(6): 77–84.
6. Glemmestad, B. S.,Skogestad, T., Gundersen, T. Optimal Operation of Heat Exchanger Networks. Comput. Chem. Eng. 1999; 23(4–5): 509–522.
7. Smith, O. J. M. Close Control of Loops with Dead Time. Chemical Engineering Progress. 1957; 53(5): 217–219.
8. Ukpaka, C. P, Nnadi V. G. Smokeless Flare Modeling of an associated gas in a production oil flied. Journal of Modelling, Simulation and Control (AMSE). 2008; 69(1): 29–46.
9. Ukpaka, C. P., Farrow S.T. Development of model for temperature distribution on fin material during ethanol production. Nigerian Journal of Research and Production. 2009; 14(1): 202–217.
10. Ukpaka, C. P, Ndor, V. M. The Flow characteristics of fluid (hexane) and its effectiveness on orifice plate using pneumatic proportional control. Journal of Engineering and Technology Research. 2013; 5(5): 112–121.
11. Ukpaka, C.P. Amadi, S.A., Orji, G.A. Design and Development of Mathematical model to monitor and predict the characteristic of Bellow in fluid systems. Global Journal of Engineering and Technology. 2011; 4(4): 441–448.
12. Ukpaka, C. P, B. Otabiri. Responses Application to monitor and predict of crude Distillation rate using Pneumatic control System on a Furnace. Journal of Engineering and Technology Research. 2013; 5(7): 217–229.

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[if 424 not_equal=”Regular Issue”] Regular Issue[/if 424] Open Access Article

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Journal of Water Pollution & Purification Research

ISSN: 2394-7306

Editors Overview

jowppr maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

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    Ukpaka Chukwuemeka Peter, Orie Kenneth Eze, Dike Blessing

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  1. Professor, Lecturer, Lecturer,Department of Chemical/Petrochemical Engineering, Rivers State University Port Harcourt, PMB 5080, Department of Electrical Engineering, Rivers State University Port Harcourt, PMB 5080, Department of Chemical/Petrochemical Engineering, Rivers State University Port Harcourt, PMB 5080,Rivers State, Rivers State, Rivers State,Nigeria, Nigeria, Nigeria
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Abstract

nMathematical model was developed to monitor, predict, and stimulate hot and cold water system using split range control application. Computer program language of MATLAB software of ODE function was applied to monitor the trend of temperature parameter in the system. Result obtained revealed decrease in temperature value of the hot water and increase in the temperature value of cold water until equilibrium was attained at 132°F at > 1.0 h. A constant in the degree of temperature of the cold water was obtained at 135°F as well as for hot water is 53°F. The research work demonstrates the application of split range control in monitoring, predicting and simulating the hot to cold water system.n

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Keywords: Model, predict, split range, control, hot, cold water system

n[if 424 equals=”Regular Issue”][This article belongs to Journal of Water Pollution & Purification Research(jowppr)]

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References

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1. Richalet, J., Rault, A., Testud, J.L., et.al. Model Algorithmic Control of Industrial Processes. IFAC Proceedings Volumes. 1977; 10(16): 103–120.
2. Aguilera, N., Marchetti, J.L. Optimizing and controlling the operation of heat exchanger networks. AIChE J. 1998; 44(5): 1090–1104.
3. Bao, J., Zhang Wen Z., Lee, Peter L. Passivity-Based Decentralized Failure-Tolerant Control. Ind. Eng. Chem. Res. 2002; 41(23): 5702–5715.
4. Glemmestad, B.,Mathisen, K.W., Gundersen, T. Optimal operation of heat exchanger networks based on structural information. Comput. Chem. Eng. 1996; 20: S823–S828.
5. Dahlin, E. B. Designing and Tuning Digital Controllers. Instruments and Control Systems. 1968; 41(6): 77–84.
6. Glemmestad, B. S.,Skogestad, T., Gundersen, T. Optimal Operation of Heat Exchanger Networks. Comput. Chem. Eng. 1999; 23(4–5): 509–522.
7. Smith, O. J. M. Close Control of Loops with Dead Time. Chemical Engineering Progress. 1957; 53(5): 217–219.
8. Ukpaka, C. P, Nnadi V. G. Smokeless Flare Modeling of an associated gas in a production oil flied. Journal of Modelling, Simulation and Control (AMSE). 2008; 69(1): 29–46.
9. Ukpaka, C. P., Farrow S.T. Development of model for temperature distribution on fin material during ethanol production. Nigerian Journal of Research and Production. 2009; 14(1): 202–217.
10. Ukpaka, C. P, Ndor, V. M. The Flow characteristics of fluid (hexane) and its effectiveness on orifice plate using pneumatic proportional control. Journal of Engineering and Technology Research. 2013; 5(5): 112–121.
11. Ukpaka, C.P. Amadi, S.A., Orji, G.A. Design and Development of Mathematical model to monitor and predict the characteristic of Bellow in fluid systems. Global Journal of Engineering and Technology. 2011; 4(4): 441–448.
12. Ukpaka, C. P, B. Otabiri. Responses Application to monitor and predict of crude Distillation rate using Pneumatic control System on a Furnace. Journal of Engineering and Technology Research. 2013; 5(7): 217–229.

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Volume 8
Issue 1
Received February 26, 2021
Accepted April 14, 2021
Published May 21, 2021

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JoWPPR

Treatment of Textile Industrial Wastewater using Hydrophilized Polyamide Nanofiltration Membrane for Water Recovery and Reuse

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u00a0Sajja. S. Chandrasekhar, Nivedita Sahu, Sundergopal Sridhar,

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nJanuary 10, 2023 at 5:04 am

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The textile industry is very water intensive. Water is used for cleaning the raw material and for many flushing steps during the entire production process. During the process a large quantity of wastewater is produced which consists of dyes, heavy metals, pigments, and surfactants in high concentration levels all around the world. Dyes and other chemical laden wastewater released by textile industries is a major concern for the treatment which causes an important threat to serious environmental and public health problems before discharge. Membrane technology plays a key role in effective separation of textile industry wastewater (TIWW) in terms of “state of the art technologies”. Nanofiltration is one of the most effective separation processes for the removal of pollutants from TIWW. The present study mainly focused on the following issues such as characteristics of wastewater, minimization, treatment, recycle/reuse and final disposal of wastewater. The paper deals with the description of the treatment of TIWW using the Hydrophilized polyamide-based Nanofiltration membrane (HPA-100-NF). The experiments were conducted to a significant reduction in parameters such as COD, TDS, Turbidity, and color. From the results, the % of water recovery was found to be 70-80% successful. The complete removal of color and turbidity was observed which states the overall process was technically feasible and cost-effective and beneficial for the environment. The treated water can be reused for various purposes such as gardening, landscaping, groundwater recharge, irrigation, floor cleaning, and cooling towers in industries to protect the environment as well as save freshwater for the future generation.

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Volume :u00a0u00a08 | Issue :u00a0u00a03 | Received :u00a0u00a0December 15, 2021 | Accepted :u00a0u00a0January 7, 2022 | Published :u00a0u00a0January 18, 2022n[if 424 equals=”Regular Issue”][This article belongs to Journal of Water Pollution & Purification Research(jowppr)] [/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue Treatment of Textile Industrial Wastewater using Hydrophilized Polyamide Nanofiltration Membrane for Water Recovery and Reuse under section in Journal of Water Pollution & Purification Research(jowppr)] [/if 424]
Keywords Textile industrial wastewater, Hydrophilized polyamide Nanofiltration membrane, Chemical oxygen demand, Color, Water reuse.

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1. Jegatheesan V, Pramanik BK, Chen J, et.al. Treatment of textile wastewater with membrane bioreactor: A critical review. Bioresource Technology. 2016; 204: 202-212.
2. Pratima S, Wastewater treatment in textile industry using membrane technology: An Overview. International Archive of Applied Sciences and Technology, 2018; 9(1): 65-68.
3. Tang C, Chen, V. Nanofiltration of textile wastewater for water reuse. Desalination. 2002; 143(1): l1-20.
4. Sivakumar D. Colour Removal from Textile Industry Wastewater Using Lemna Minuta Lin. Recent Advances in Civil Engineering and Mechanics. 2014; 255-261.
5. Lau WJ, Ismail AF. Polymeric nanofiltration membranes for textile dye wastewater treatment: Preparation, performance evaluation, transport modelling, and fouling control – a review. Desalination. 2009; 245(1-3): 321–348.
6. Ad. Raheem G, Ogunribido A. The Applications of Membrane Operations in the Textile Industry: A Review. British Journal of Applied Science & Technology. 2012; 2(3): 296-310.
7. Karisma D, Febrianto G, Dave M. Removal of dyes from textile wastewater by using nanofiltration polyetherimide membrane. IOP Conf. Series: Earth and Environmental Science. 2017; 109: 1-7.
8. Sheth KN, Mittal P. A Study on Characterization & Treatment of Laundry Effluent. International Journal for Innovative Research in Science and Technology. 2017; 4: 2349-6010.
9. Ashish T, Omprakash S. Study of characteristics and treatments of dairy industry wastewater. Journal of Applied & Environmental Microbiology. 2014; 2(1): 16-22.
10. American Public Health Association-APHA, American Water Works Association-AWWA, Water environment Federation-WEF, Standard Methods for the Examination of Water and Wastewater. 18th ed. Washington D.C. USA; 1992.
11. American Public Health Association-APHA, Standard Methods for Examination of Water and Wastewater. 19th ed. Washington D.C. USA; 1995.
12. American Public Health Association, American Water Works Association, and Water Environment Federation (APHA/AWWA/WEF), Standard Methods for the Examination of Water and Wastewater. APHA, AWWA and WEF. Washington D.C; 2005.
13. Eaton AD, Clesceri LS, Greenberg AE, et.al. American Public Health Association, Standard Methods for the Examination of Water and Wastewater. 20th ed. Washington D.C. USA; 1998.
14. Chandrasekhar S.S, Vaishnavi D, Sahu N, et.al. Design of an integrated membrane bioreactor process for effective and environmentally safe treatment of highly complex coffee industrial effluent. Journal of Water Process Engineering. 2020; 37: 1-10.
15. Chandrasekhar S.S, Srinath D, Sahu N, et.al. Treatment of Dairy Industry Effluent using Membrane Bioreactor. International Journal of Pure and Applied Biosciences. 2017; 5(6): 71-79.
16. Cristiane NL, Jose Carlos, CP, Humberto GR. Colour and COD retention by Nanofiltration membranes. Desalination. 2005; 172(1): 77-83.
17. Qing C, Ying Y, Mengsi Z, et.al. Comparative study on the treatment of raw and biologically treated textile effluents through submerged nanofiltration. Journal of Hazardous Materials. 2015; 284: 121–129.

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[if 424 not_equal=”Regular Issue”] Regular Issue[/if 424] Open Access Article

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Journal of Water Pollution & Purification Research

ISSN: 2394-7306

Editors Overview

jowppr maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

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Abstract

nThe textile industry is very water intensive. Water is used for cleaning the raw material and for many flushing steps during the entire production process. During the process a large quantity of wastewater is produced which consists of dyes, heavy metals, pigments, and surfactants in high concentration levels all around the world. Dyes and other chemical laden wastewater released by textile industries is a major concern for the treatment which causes an important threat to serious environmental and public health problems before discharge. Membrane technology plays a key role in effective separation of textile industry wastewater (TIWW) in terms of “state of the art technologies”. Nanofiltration is one of the most effective separation processes for the removal of pollutants from TIWW. The present study mainly focused on the following issues such as characteristics of wastewater, minimization, treatment, recycle/reuse and final disposal of wastewater. The paper deals with the description of the treatment of TIWW using the Hydrophilized polyamide-based Nanofiltration membrane (HPA-100-NF). The experiments were conducted to a significant reduction in parameters such as COD, TDS, Turbidity, and color. From the results, the % of water recovery was found to be 70-80% successful. The complete removal of color and turbidity was observed which states the overall process was technically feasible and cost-effective and beneficial for the environment. The treated water can be reused for various purposes such as gardening, landscaping, groundwater recharge, irrigation, floor cleaning, and cooling towers in industries to protect the environment as well as save freshwater for the future generation.n

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Keywords: Textile industrial wastewater, Hydrophilized polyamide Nanofiltration membrane, Chemical oxygen demand, Color, Water reuse.

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References

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Journal of Water Pollution & Purification Research

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Volume 8
Issue 3
Received December 15, 2021
Accepted January 7, 2022
Published January 18, 2022

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