scholarly journals Comparison Study of Pulsing and Continuous Flow for Improving Effluent Water Quality and Plant Growth of a Constructed Wetland to Treat Domestic Wastewater

2010 ◽  
Vol 21 (2) ◽  
pp. 147 ◽  
Author(s):  
S Sasikala ◽  
N Tanaka ◽  
KBSN Jinadasa ◽  
MIM Mowjood
Keyword(s):  
Water Quality ◽  
Plant Growth ◽  
Constructed Wetland ◽  
Continuous Flow ◽  
Domestic Wastewater ◽  
Comparison Study ◽  
Effluent Water

scholarly journals Treatment of Combined Dairy and Domestic Wastewater with Constructed Wetland System in Sicily (Italy). Pollutant Removal Efficiency and Effect of Vegetation

Water ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1086
Author(s):  
Mario Licata ◽  
Roberto Ruggeri ◽  
Nicolò Iacuzzi ◽  
Giuseppe Virga ◽  
Davide Farruggia ◽  
...  
Keyword(s):  
Plant Growth ◽  
Organic Compounds ◽  
Removal Efficiency ◽  
Constructed Wetland ◽  
Organic Pollutant ◽  
Dairy Farm ◽  
Domestic Wastewater ◽  
Pollutant Removal ◽  
Dairy Wastewater ◽  
Giant Reed

Dairy wastewater (DWW) contains large amounts of mineral and organic compounds, which can accumulate in soil and water causing serious environmental pollution. A constructed wetland (CW) is a sustainable technology for the treatment of DWW in small-medium sized farms. This paper reports a two-year study on the performance of a pilot-scale horizontal subsurface flow system for DWW treatment in Sicily (Italy). The CW system covered a total surface area of 100 m2 and treated approximately 6 m3 per day of wastewater produced by a small dairy farm, subsequent to biological treatment. Removal efficiency (RE) of the system was calculated. The biomass production of two emergent macrophytes was determined and the effect of plant growth on organic pollutant RE was recorded. All DWW parameters showed significant differences between inlet and outlet. For BOD5 and COD, RE values were 76.00% and 62.00%, respectively. RE for total nitrogen (50.70%) was lower than that of organic compounds. RE levels of microbiological parameters were found to be higher than 80.00%. Giant reed produced greater biomass than umbrella sedge. A seasonal variation in RE of organic pollutants was recorded due to plant growth rate Our findings highlight the efficient use of a CW system for DWW treatment in dairy-cattle farms.

Evaluation of constructed wetlands by wastewater purification ability and greenhouse gas emissions

2007 ◽  
Vol 56 (3) ◽  
pp. 49-55 ◽  
Author(s):  
P. Gui ◽  
R. Inamori ◽  
M. Matsumura ◽  
Y. Inamori
Keyword(s):  
Plant Growth ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Constructed Wetlands ◽  
Constructed Wetland ◽  
Seasonal Changes ◽  
Free Water ◽  
Domestic Wastewater ◽  
Pollutant Removal ◽  
Gas Emissions

Domestic wastewater is a significant source of nitrogen and phosphorus, which cause lake eutrophication. Among the wastewater treatment technologies, constructed wetlands are a promising low-cost means of treating point and diffuse sources of domestic wastewater in rural areas. However, the sustainable operation of constructed wetland treatment systems depends upon a high rate conversion of organic and nitrogenous loading into their metabolic gaseous end products, such as N2O and CH4. In this study, we examined and compared the performance of three typical types of constructed wetlands: Free Water Surface (FWS), Subsurface Flow (SF) and Vertical Flow (VF) wetlands. Pollutant removal efficiency and N2O and CH4 emissions were assessed as measures of performance. We found that the pollutant removal rates and gas emissions measured in the wetlands exhibited clear seasonal changes, and these changes were closely associated with plant growth. VF wetlands exhibited stable removal of organic pollutants and NH3-N throughout the experiment regardless of season and showed great potential for CH4 adsorption. SF wetlands showed preferable T-N removal performance and a lower risk of greenhouse gas emissions than FWS wetlands. Soil oxidation reduction potential (ORP) analysis revealed that water flow structure and plant growth influenced constructed wetland oxygen transfer, and these variations resulted in seasonal changes of ORP distribution inside wetlands that were accompanied by fluctuations in pollutant removal and greenhouse gas emissions.

scholarly journals Lampiran 5B paper An Investigation into the Use of Sand Media Planted with Thypa latifolia in Constructed Wetland Ecotechnology in Removing Organic matter, Suspended Solids and Nutrients from Domestic Wastewater

2021 ◽  
Author(s):  
Philiphi de Rozari
Keyword(s):  
Water Quality ◽  
Wastewater Treatment ◽  
Constructed Wetland ◽  
Suspended Solids ◽  
Hydraulic Retention Time ◽  
Low Cost ◽  
Domestic Wastewater ◽  
Synthetic Wastewater ◽  
Vertical Flow ◽  
West Timor

Deterioration of water quality continues to be a major concern in West Timor. Establishment of wastewater treatment is crucial for eliminating this problem. Constructed wetland (CW) ecotechnologies are an alternative low-cost wastewater treatment to solve wastewater problems in West Timor. This research aimed to compare the effectiveness of Thypa latifolia in CWs for the removal of BOD5, suspended solids, NH4-N, and PO4-P. The experimental design consisted of 6 (20 L) vertical flow mesocosms, 3 mesocosms planted with Thypa latifolia and 3 mesocosms as a control. The mesocosms were irrigated with synthetic wastewater for 7 months. The inflow had a 2-day hydraulic retention time. The inflow and outflow samples were monitored for BOD5, suspended solids, NH4-N, and PO4-P. The trend showed that the CWs planted with Thypa latifolia reduced significantly the BOD, suspended solids, and NH4-N. However, the presence of plant did not significantly reduce PO4-P. This indicated that the CWs planted with Thypa latifolia had a better performance in comparison with pure sand media

Design of Photovoltaic Enterprise Wastewater Treatment Engineering

2012 ◽  
Vol 610-613 ◽  
pp. 1658-1661
Author(s):  
Yong Bin Zhao ◽  
Hong Ping Chen ◽  
Tuo Yang
Keyword(s):  
Water Quality ◽  
Domestic Wastewater ◽  
First Grade ◽  
Shanxi Province ◽  
Operational Cost ◽  
Effluent Water ◽  
Treatment Efficiency ◽  
Emission Standard ◽  
Contact Oxidation ◽  
Biological Contact Oxidation

The photovoltaic enterprise in Shanxi Province uses the process of biological contact oxidation-coagulation sedimentation to treat enterprise production wastewater and domestic wastewater. By commissioning and operating, the process is characterized by feasible process and easy management, low operational cost and stable treatment efficiency. The effluent water quality can meet the first grade of “Integrated Sewage Emission Standard” (GB 8978-1996).

Predictive performance modeling of Habesha brewery wastewater treatment plant using artificial neural networks

2019 ◽  
Author(s):  
Chem Int
Keyword(s):  
Neural Networks ◽  
Water Quality ◽  
Wastewater Treatment ◽  
Artificial Neural Networks ◽  
Performance Modeling ◽  
Predictive Performance ◽  
Mathematical Tool ◽  
Effluent Water ◽  
Artificial Neural

Recently, process control in wastewater treatment plants (WWTPs) is, mostly accomplished through examining the quality of the water effluent and adjusting the processes through the operator’s experience. This practice is inefficient, costly and slow in control response. A better control of WTPs can be achieved by developing a robust mathematical tool for performance prediction. Due to their high accuracy and quite promising application in the field of engineering, Artificial Neural Networks (ANNs) are attracting attention in the domain of WWTP predictive performance modeling. This work focuses on applying ANN with a feed-forward, back propagation learning paradigm to predict the effluent water quality of the Habesha brewery WTP. Data of influent and effluent water quality covering approximately an 11-month period (May 2016 to March 2017) were used to develop, calibrate and validate the models. The study proves that ANN can predict the effluent water quality parameters with a correlation coefficient (R) between the observed and predicted output values reaching up to 0.969. Model architecture of 3-21-3 for pH and TN, and 1-76-1 for COD were selected as optimum topologies for predicting the Habesha Brewery WTP performance. The linear correlation between predicted and target outputs for the optimal model architectures described above were 0.9201 and 0.9692, respectively.

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