Case analysis on textile wastewater subjected to combined physicochemical–biological treatment and ozonation

Yin, Hua; Guo, Hai‐Yang; Qiu, Peiwen; Yi, Linzi; Li, Jiajie

doi:10.5004/dwt.2017.1619

Cited by 12 publications

(19 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The filtering surfaces in the primary and secondary sand filters were approximately 450 m 2 and 700 m 2 , respectively. The proposed treatment technology aimed to reuse recycled water and thus required higher ozone dosage than the methods previously described [3]. The ozone dosage and oxidation time were approximately 80-100 g•m −3 and 3.20-3.29 h, respectively.…”

Section: Reactive Precipitation + Primary Sand Filtration + Primary Omentioning

confidence: 99%

“…The schematics of the water reuse treatment processes are shown in Figure 1. Pretreatment and biological treatment techniques have been introduced in [3]. Therefore, the treatment technology of recycled water from textile wastewater was introduced in this study after biochemical treatment.…”

Section: Setup and Operational Details Of The Combined Systemsmentioning

confidence: 99%

“…The backwash water in the secondary sand filtration tank was processed in the reaction tank I + precipitation tank I + sand filtration tank I and then flowed to the clean water reservoir. The sand filtration tank was cleaned for 0.5 h every 8 h. Water consumption in the primary and secondary sand filtration tanks was approximately 1500 m 3 •d −1 . Polymeric aluminum (PAC) was used as the flocculants in the reaction tank and reaction tank I.…”

Section: Reactive Precipitation + Primary Sand Filtration + Primary Omentioning

confidence: 99%

“…The textile industry uses large quantities of water in stages, such as pretreatment, bleaching, dyeing, and printing, which demand approximately 100-200 L of high-quality water per kilogram of textile product and consequently generate huge amounts of dye wastewater [3]. The wastewater produced by textile industry contains organic matter, toxic chemicals derived from fixing agents, detergents, dyes, and salts and therefore is the most polluting among all industrial wastes [4].…”

Section: Introductionmentioning

confidence: 99%

“…It has proved effective on water disinfection and micropollutants removal [17]. In addition to chemical oxygen consumption (COD cr ) and biochemical oxygen demand (BOD 5 ) removal, ozonation attains a high level of color removal, which is advantageous over conventional methods [3]. The potential of ozonation makes it widely used in water reuse systems [16].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Textile Wastewater Treatment for Water Reuse: A Case Study

Yin

Qiu²,

Qian³

et al. 2019

Processes

Self Cite

View full text Add to dashboard Cite

The reduced natural waters and the large amount of wastewater produced by textile industry necessitate an effective water reuse treatment. In this study, a combined two-stage water reuse treatment was established to enhance the quality and recovery rate of reused water. The primary treatment incorporated a flocculation and sedimentation system, two sand filtration units, an ozonation unit, an ultrafiltration (UF) system, and a reverse osmosis (RO) system. The second treatment included an ozonation unit, a sand filtration unit, and UF and RO systems. The color removal rate increased with the increasing ozone dosage, and the relational expression between the ozone dosage and color removal rate was fitted. Ozonation greatly reduced the color by 92.59 and 97.27 times during the primary and second ozonation stages, respectively. RO had the highest removal rate. The combined processes showed good performance in water reuse treatment. The treated, reused water satisfied the reuse standard and surpassed the drinking water standard rates for chemical oxygen consumption (CODcr), color, NH3-N, hardness, Cl−, SO42−, turbidity, Fe3+, and Cu2+. The operating cost of reuse water treatment was approximately 0.44 USD·m−3.

show abstract

Section: Reactive Precipitation + Primary Sand Filtration + Primary Omentioning

confidence: 99%

Section: Setup and Operational Details Of The Combined Systemsmentioning

confidence: 99%

Section: Reactive Precipitation + Primary Sand Filtration + Primary Omentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Textile Wastewater Treatment for Water Reuse: A Case Study

Yin

Qiu²,

Qian³

et al. 2019

Processes

Self Cite

View full text Add to dashboard Cite

show abstract

A comprehensive framework for the sustainability indicators in the textile industry of developing countries

Fadara,

Wong,

Zarei

2024

Bus Strat Dev

View full text Add to dashboard Cite

Textile production in developing countries is known to be associated with significant environmental, social, and economic challenges. Existing research has mostly focused on singular aspects of sustainability, while no consensus exists on the importance and applicability of sustainability indicators. To address these gaps, this study utilized an integrated approach involving the Delphi method and the fuzzy best‐worst method (BWM) to develop a comprehensive framework by identifying and formulating sustainability indicators tailored for the textile industry in developing countries and assess their importance and applicability. Through three consecutive rounds of Delphi, a total of 64 sustainability indicators were identified (16 economic, 24 environmental, and 24 social indicators). Next, fuzzy BWM was employed to determine the importance and applicability of these indicators. The results show that (a) environmental indicators overall have higher applicability scores, (b) the top three critical indicators were raw material usage, operational costs, and fuel consumption, and (c) nearly half of the indicators (29/64) were deemed highly applicable, with 34.5% (10/29) of these falling under environmental, 34.5% (10/29) under economic, and 31% (9/29) under social dimensions. Finally, the utility of the framework is demonstrated through an empirical case study in a textile manufacturing company in Nigeria.

show abstract

Wastewater treatment plant performance assessment using time-function-based effluent quality index and multiple regression models: the case of Bahir Dar textile factory

Wondim,

Dzwairo,

Aklog

et al. 2023

Environ Monit Assess

View full text Add to dashboard Cite

Extensive water and chemicals are used in the textile industry processes. Therefore, treatment of textile wastewater is vital to protect the environment, maintain the public health, and recover resources. However, due to poor operation and plant performance the partially treated textile wastewater was directly discharged to a nearby river. Thus, the aim of this study was to characterize the wastewater physicochemical properties and evaluate the performance of the textile factory-activated sludge process wastewater treatment plant (WWTP) in Bahir Dar, Ethiopia. In inlet and outlet of the WWTP, samples were collected for 6 months and analyzed on-site and in a laboratory for parameters including, dissolved oxygen, pH, temperature, total Kjeldhal nitrogen (TKN), chemical oxygen demand (COD), biochemical oxygen demand (BOD5), total suspended solids (TSS), total nitrogen (TN), total phosphorous (TP), nitrite, nitrate, and metallic compounds. The TSS, BOD5, COD, TP, nitrite, ammonia, and total chromium result were above the discharge limit with 73.2 mg/L, 48.45 mg/L, 144.08 mg/L, 7.9 mg/L, 1.36 mg/L, 1.96 mg/L, and 0.16 mg/L, respectively. Multiple regression models were developed for each overall, net moving average, and instantaneous effluent quality index (EQI). The predictor parameters BOD5, TN, COD, TSS, and TP (R2 = 0.995 to 1.000) estimated the net pollution loads of all predictors as 492.55 kg/day and 655.44 kg/day. Except TN, TKN, and NO3, the remaining six performance parameters were violating the permissible limit daily. Furthermore, the overall plant efficiency was predicted as 38 % and 42 % for the moving average and instantaneous EQI, respectively. Our study concluded that the integrated regression models and EQI can easily estimate the plant efficiency and daily possible pollution load.

show abstract

Case analysis on textile wastewater subjected to combined physicochemical–biological treatment and ozonation

Cited by 12 publications

References 0 publications

Textile Wastewater Treatment for Water Reuse: A Case Study

Textile Wastewater Treatment for Water Reuse: A Case Study

A comprehensive framework for the sustainability indicators in the textile industry of developing countries

Wastewater treatment plant performance assessment using time-function-based effluent quality index and multiple regression models: the case of Bahir Dar textile factory

Contact Info

Product

Resources

About