Winery wastewater treatment by integrating Fenton's process with biofiltration by Corbicula fluminea

2017 ◽  
Vol 93 (2) ◽  
pp. 333-339 ◽  
Author(s):  
Rita Ferreira ◽  
João Gomes ◽  
Rui C Martins ◽  
Raquel Costa ◽  
Rosa M Quinta-Ferreira
Keyword(s):  
Wastewater Treatment ◽  
Corbicula Fluminea ◽  
Winery Wastewater ◽  
Fenton's Process

scholarly journals Brewery and Winery Wastewater Treatment: Some Focal Points of Design and Operation

2006 ◽  
pp. 109-131 ◽  
Author(s):  
António G. Brito ◽  
João Peixoto ◽  
José M. Oliveira ◽  
José A. Oliveira ◽  
Cristina Costa ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Focal Points ◽  
Winery Wastewater

Microalgae and immobilized TiO2/UV-A LEDs as a sustainable alternative for winery wastewater treatment

2021 ◽  
pp. 117464
Author(s):  
Leonilde Marchão ◽  
José R. Fernandes ◽  
Ana Sampaio ◽  
José A. Peres ◽  
Pedro B. Tavares ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Winery Wastewater ◽  
Immobilized Tio2

Successful Plant Scale Winery Wastewater Treatment Using Membrane Bioreactor in Northern California

2008 ◽  
Vol 2008 (13) ◽  
pp. 3408-3425 ◽  
Author(s):  
Anu Shah ◽  
John Bulleri ◽  
Richard Ross ◽  
John Carter ◽  
Michael Long
Keyword(s):  
Wastewater Treatment ◽  
Membrane Bioreactor ◽  
Northern California ◽  
Winery Wastewater

Production of fungal biomass protein using microfungi from winery wastewater treatment

2008 ◽  
Vol 99 (9) ◽  
pp. 3871-3876 ◽  
Author(s):  
Zhan Ying Zhang ◽  
Bo Jin ◽  
Zhi Hui Bai ◽  
Xiao Yi Wang
Keyword(s):  
Wastewater Treatment ◽  
Fungal Biomass ◽  
Winery Wastewater

Winery wastewater treatment by combination of Cryptococcus laurentii and Fenton’s reagent

Chemosphere ◽  
2014 ◽  
Vol 117 ◽  
pp. 53-58 ◽  
Author(s):  
Cátia Santos ◽  
Marco S. Lucas ◽  
Albino A. Dias ◽  
Rui M.F. Bezerra ◽  
José A. Peres ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Cryptococcus Laurentii ◽  
Fenton’S Reagent ◽  
Fenton's Reagent ◽  
Winery Wastewater

Olive oil extraction industry wastewater treatment by coagulation and Fenton’s process

2021 ◽  
Vol 39 ◽  
pp. 101818
Author(s):  
Eva Domingues ◽  
Eryk Fernandes ◽  
João Gomes ◽  
Sérgio Castro-Silva ◽  
Rui C. Martins
Keyword(s):  
Wastewater Treatment ◽  
Olive Oil ◽  
Oil Extraction ◽  
Industry Wastewater ◽  
Fenton's Process

Towards a benchmarking model for winery wastewater treatment and disposal

2007 ◽  
Vol 56 (2) ◽  
pp. 153-160 ◽  
Author(s):  
M. Aybar ◽  
M. Carvallo ◽  
F. Fabacher ◽  
G. Pizarr ◽  
P. Pastén
Keyword(s):  
Wastewater Treatment ◽  
Treatment Options ◽  
Wine Production ◽  
Winery Wastewater ◽  
Urban Settlements ◽  
Steep Decrease ◽  
Costs Of Treatment ◽  
Target Performance ◽  
Treatment And Disposal ◽  
Treatment Alternatives

We propose a benchmarking model for winery wastewater treatment systems and use it to quantitatively compare the performance of Chilean wine-making operations. The benchmarking model integrates three components: the influent characteristics, the wastewater treatment alternatives, and the location constraints. Four performance levels may be defined when plotting the available data of the wine production versus the ratio of wastewater to wine, for the French, US, and Chilean industries. Knowing where a certain system lies in this diagram helps to quantify the gap between the current and a target performance, and to set performance goals for planned expansions. The analysis of construction and operating costs of treatment systems currently in operation in Chile shows that similar compliance levels can be achieved at remarkably different costs. A steep decrease in the unitary cost is observed as wastewater flow increases; yet, the treatment alternative for achieving that cost may change. Further selection is obtained when location constraints are considered, including stringent discharge standards and proximity to urban settlements. The application of this simple benchmark model to three Chilean winery facilities shows how it produces meaningful quantitative and qualitative results. However, there is still ample room to improve this benchmarking model by considering additional complexity, including technical detail in the treatment options and costs related to technology conversion.

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