Performance improvement of textile wastewater treatment plant design by STOAT model simulation

Journal Title: Environmental Health Engineering and Management Journal - Year 2022, Vol 9, Issue 3

Abstract

Background: To control pollution, wastewater treatment from textile plays an important role in treating wastewater to meet quality standards before it is discharged into the environment. Without properly treated wastewater from the textile industry, it contains organic and inorganic pollutants that cause environmental problems such as water pollution, loss of marine life, and soil and air pollution. The aim of this study was to design and simulate a textile sewage treatment plant. Methods: This study was conducted by simulating the process and operation of a wastewater treatment plant using STOAT software. In addition, STOAT’s graphical and static data analysis models are efficient in removing multi-component pollutants from the textile industry. Results: Some pollutant parameters prior to the design model are suspended solids (SS) (260 mg/L), DS (3600 mg/L), ammonia (65 mg/L), biochemical oxygen demand (BOD) (430 mg/L), nitrate (35 mg/L), and dissolved Oxygen (DO) (12 mg/L). The wastewater of the simulation result of the sewage treatment plant model contained SS (3.3 mg/L), ammonia (25 mg/L), BOD (4 mg/L), nitrate (61.3 mg/L), and the removal percentage of total suspended solids (TSS), BOD, and Ammonia was 99.75, 99.1, 61.33 mg/L, respectively. Through the treatment process, Ammonia was oxidized and nitrification was processed rather than denitrification. Conclusion: Using the stoat modeling software, wastewater treatment plant design is very effective in removing contaminants from textile wastewater by selecting specific parameters.

Authors and Affiliations

Desalegn Abdissa Akuma, Ketema Beyecha Hundie, Tafere Aga Bullo

Keywords

Related Articles

The relationship between hot spots of air pollution and the incidence of gestational diabetes based on spatial analysis: A study on one of the most air-polluted metropolis of Iran

Background: Despite the serious impacts of air pollution on human health, few studies have focused on the adverse effects of air pollution on pregnancy outcomes based on the geographic information system (GIS) approach...

Biological hydrogen production from synthetic wastewater by an anaerobic migrating blanket reactor: Artificial neural network (ANN) modeling

Background: This study aimed to evaluate an anaerobic migrating blanket reactor (AMBR) for biological hydrogen production, and also to investigate its capability to treat synthetic wastewater. Methods: A five-compartmen...

Feasibility study of the application of treated wastewater for the irrigation of forest species in a Saharan area

Background: After suffering from an acute problem of excess water for a long time, the Oasis of Ouargla benefited from an aerated lagoon treatment plant, producing biologically treated domestic effluents. The aim of th...

Psychometric development and practical use of questionnaires designed to assess knowledge, attitude, and practice of women regarding the use of sanitizer at home to control coronavirus disease

Background: This study aimed to develop and practically use a questionnaire to evaluate knowledge, attitude, and practice (KAP) of women regarding the use of sanitizers at home against coronavirus disease 2019 (COVID-19)...

The risk of gastrointestinal cancer and nitrate intake due to vegetable consumption: A case-control study in Minab, Iran

Background: Nitrate (NO3) is a necessary element for plant growth, but its excessive use in agricultural products causes different health problems. This study aimed to investigate the relationship between NO3 concentra...

Download PDF file
  • EP ID EP709423
  • DOI 10.34172/EHEM.2022.22
  • Views 64
  • Downloads 0

How To Cite

Desalegn Abdissa Akuma, Ketema Beyecha Hundie, Tafere Aga Bullo (2022). Performance improvement of textile wastewater treatment plant design by STOAT model simulation. Environmental Health Engineering and Management Journal, 9(3), -. https://europub.co.uk/articles/-A-709423