Intelligent Environmental Data Monitoring for Pollution Management /

Intelligent Environmental Data Monitoring for Pollution Management discusses evolving novel intelligent algorithms and their applications in the area of environmental data-centric systems guided by batch process-oriented data. Thus, the book ushers in a new era as far as environmental pollution mana...

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Detalles Bibliográficos
Clasificación:TD174 .I58 2021
Otros Autores: Bhattacharyya, Siddhartha (Editor ), Mondal, Naba Kumar (Editor ), Platos, Jan (Editor ), Kromer, Pavel (Editor ), Snasel, Vaclav (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London ; San Diego, CA : Academic Press, an imprint of Elsevier, [2021]
Colección:Intelligent data centric systems.
Temas:
Pollution prevention.
Pollution > Pr�evention.
Pollution prevention
Tabla de Contenidos:
  • Intro
  • Intelligent Environmental Data Monitoring for Pollution Management
  • Copyright
  • Dedication
  • Contents
  • Contributors
  • Preface
  • Chapter 1: Batch adsorption process in water treatment
  • 1. Introduction
  • 2. Batch experiments
  • 3. Factors affecting adsorption process
  • 4. Mechanism in batch adsorption
  • 4.1. Bulk solution transport
  • 4.2. Film diffusion transport
  • 4.3. Pore transport
  • 4.4. Surface diffusion
  • 5. Adsorption isotherm
  • 5.1. Langmuir isotherm
  • 5.2. Freundlich adsorption isotherm
  • 5.3. Sips isotherm
  • 5.4. BET isotherm
  • 5.5. The extended Langmuir isotherm
  • 6. Adsorption kinetics
  • 6.1. Pseudo-first-order equation
  • 6.2. Pseudo-second-order equation
  • 6.3. Elovich model
  • 6.4. Intraparticle diffusion
  • 6.5. Kinetics of finite bath and infinite bath experiment
  • 7. Thermodynamics
  • 8. Desorption studies
  • 9. Conclusion
  • Acknowledgments
  • References
  • Chapter 2: Removal of heavy metals from industrial effluents by using biochar
  • 1. Introduction
  • 2. Industrial effluents and heavy metal pollution
  • 3. Conventional processes of removal heavy metals from effluent
  • 3.1. Chemical precipitation
  • 3.2. Ion exchange
  • 3.3. Membrane filtration
  • 3.4. Photocatalysis process
  • 3.5. Electrodialysis
  • 3.6. Electrochemical treatments
  • 3.7. Adsorption
  • 4. Biochar: The adsorbent
  • 5. Preparation of biochar
  • 6. Properties of biochar
  • 7. Removal of heavy metals by biochar
  • 8. Conclusion
  • Acknowledgment
  • References
  • Chapter 3: Nanoparticles: A new tool for control of mosquito larvae
  • 1. Introduction
  • 2. Nanoparticle synthesis
  • 2.1. Biological synthesis of nanoparticles
  • 2.1.1. Plant-mediated nanoparticle synthesis
  • 2.1.2. Micro-organism-mediated nanoparticle synthesis
  • 3. Nanoparticle characterizations
  • 3.1. UV-visible spectrophotometry
  • 3.2. Fourier transform infrared spectroscopy
  • 3.3. Transmission electron microscopy
  • 3.4. Scanning electron microscopy
  • 3.5. Energy-dispersive X-ray spectroscopy
  • 3.6. X-ray diffraction
  • 3.7. Dynamic light scattering
  • 4. Application
  • 4.1. Larvicidal activity of nanoparticles
  • 4.2. Toxicological effect of nanoparticles on nontarget organism
  • 5. Research gap
  • 6. Conclusion
  • Acknowledgments
  • References
  • Chapter 4: Biosorption-driven green technology for the treatment of heavy metal(loids)-contaminated effluents
  • 1. Introduction
  • 2. Heavy metal(loid)s
  • 3. Conventional treatment process for metal(loid)s removal from wastewater
  • 4. Biosorption
  • 5. Mechanisms of biosorption
  • 6. Advantages of biosorption process
  • 7. Factors affecting biosorption
  • 8. Biosorption isotherm and model
  • 9. Biosorbent
  • 9.1. Types of biosorbent
  • 9.1.1. Bacteria
  • 9.1.2. Fungi
  • 9.1.3. Algae
  • 9.1.4. Agricultural waste
  • 10. Modification of biosorbent

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