Microalgae tolerant of boron stress and bioresources accumulation during the boron removal process

2022 ◽  
pp. 112639
Author(s):  
Ge Yan ◽  
Liang Fu ◽  
Xin Lu ◽  
Yutong Xie ◽  
Jiayi Zhao ◽  
...  
Keyword(s):  
Boron Removal ◽  
Removal Process

Side-Stream EBPR Practices and Fundamentals – Rethinking and Reforming the Enhanced Biological Phosphorus Removal Process

2018 ◽  
Vol 2018 (5) ◽  
pp. 223-239
Author(s):  
Nicholas B Tooker ◽  
Guangyu Li ◽  
Varun Srinivasan ◽  
James L Barnard ◽  
Charles Bott ◽  
...  
Keyword(s):  
Phosphorus Removal ◽  
Enhanced Biological Phosphorus Removal ◽  
Biological Phosphorus Removal ◽  
Removal Process ◽  
Side Stream ◽  
Biological Phosphorus

Startup, Optimization, and Operational Results from a Biological Nutrient Removal Process with Ammonium Based Airflow Controls

2018 ◽  
Vol 2018 (5) ◽  
pp. 283-295
Author(s):  
Eric Redmond ◽  
Matthew Jalbert ◽  
Mike Young ◽  
Leon Downing ◽  
Tom Johnson
Keyword(s):  
Nutrient Removal ◽  
Biological Nutrient Removal ◽  
Removal Process

scholarly journals Constrained Parameter Estimation for a Mechanistic Kinetic Model of Cobalt–Hydrogen Electrochemical Competition during a Cobalt Removal Process

Entropy ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. 387
Author(s):  
Yiting Liang ◽  
Yuanhua Zhang ◽  
Yonggang Li
Keyword(s):  
Parameter Estimation ◽  
Kinetic Model ◽  
Model Parameters ◽  
Hydrogen Ions ◽  
Removal Process ◽  
Cobalt Removal ◽  
Estimation Scheme ◽  
Zinc Hydrometallurgy ◽  
The Impact ◽  
Parameter Estimation Scheme

A mechanistic kinetic model of cobalt–hydrogen electrochemical competition for the cobalt removal process in zinc hydrometallurgical was proposed. In addition, to overcome the parameter estimation difficulties arising from the model nonlinearities and the lack of information on the possible value ranges of parameters to be estimated, a constrained guided parameter estimation scheme was derived based on model equations and experimental data. The proposed model and the parameter estimation scheme have two advantages: (i) The model reflected for the first time the mechanism of the electrochemical competition between cobalt and hydrogen ions in the process of cobalt removal in zinc hydrometallurgy; (ii) The proposed constrained parameter estimation scheme did not depend on the information of the possible value ranges of parameters to be estimated; (iii) the constraint conditions provided in that scheme directly linked the experimental phenomenon metrics to the model parameters thereby providing deeper insights into the model parameters for model users. Numerical experiments showed that the proposed constrained parameter estimation algorithm significantly improved the estimation efficiency. Meanwhile, the proposed cobalt–hydrogen electrochemical competition model allowed for accurate simulation of the impact of hydrogen ions on cobalt removal rate as well as simulation of the trend of hydrogen ion concentration, which would be helpful for the actual cobalt removal process in zinc hydrometallurgy.

Organic carbon bioavailability: is it a good driver to choose the best biological nitrogen removal process?

2021 ◽  
pp. 147390
Author(s):  
Gabriela Bonassa ◽  
Alice Chiapetti Bolsan ◽  
Camila Ester Hollas ◽  
Bruno Venturin ◽  
Daniela Candido ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Nitrogen Removal ◽  
Biological Nitrogen Removal ◽  
Removal Process ◽  
Biological Nitrogen

Nanorod‐Like Polymer Adsorbents with Intermediate Dihydroxy Functional Groups for Efficient Boron Removal

2021 ◽  
Vol 6 (24) ◽  
pp. 6197-6201
Author(s):  
Rui Sheng ◽  
Yang Zhang ◽  
Jingjing Kang ◽  
Yakun Tang ◽  
Caixia Zhu ◽  
...  
Keyword(s):  
Functional Groups ◽  
Boron Removal

Boron removal from aqueous solution by reverse osmosis

Desalination ◽  
2008 ◽  
Vol 223 (1-3) ◽  
pp. 1-9 ◽  
Author(s):  
Neşe Öztürk ◽  
Duygu Kavak ◽  
T. Ennil Köse
Keyword(s):  
Aqueous Solution ◽  
Reverse Osmosis ◽  
Boron Removal
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