Autorentext

Priyanka Singh, PhD is an Associate Professor at the Institute of Allied Medical Science and Technology at the National Institute of Medical Sciences University. She has published 31 research articles in peer-reviewed journals and ten book chapters in international book publications, and filed patent with the Government of India. She is actively engaged in research related to nanotechnology, bioprocess technology, and enzyme engineering. Pooja Agarwal, PhD is a Professor in the Department of Chemistry in the School of Basic and Applied Sciences at Galgotias University with more than 13 years of teaching experience. She has more than 18 research publications in reputed journals and book chapters and one edited book to her credit. Her research focuses on material science, biomaterials, nanomaterials, and composite materials. V. Vivekanand, PhD is an Assistant Professor and the Head of the Centre for Energy and Environment at the Malaviya National Institute of Technology. He has published more than 90 international research articles in journals of high repute and more than 30 articles in international conferences, and authored more than seven book chapters. He has a keen research interest in biomass pretreatment, bioprocessing, and its conversion for bioenergy applications.

Klappentext

Tackle the global challenge of environmental sustainability with this essential book, which provides a critical review of innovative and sustainable solid waste management strategies by leveraging advanced technologies like AI and geographic information system-based predictive models. Solid waste products are continuously generated due to rapid industrialization activities and population growth. These solid waste products severely affect the environment and societal health. An efficient management system for solid waste products requires appropriate transportation, infrastructure, and disposal facilities. Recently, conventional disposal techniques have encountered many challenges, including inadequate landfill disposal, management of hazardous solid waste, and operational inefficiencies. Advanced technologies based on predictive models of artificial intelligence and geographic information systems (GIS) are being used to address these concerns. Remote sensing GIS systems efficiently predict the nature and trends of waste generation areas using data captured by aerial photography, videography, and integrated sensors. Artificial intelligence-based methodologies are computationally designed to mimic the human mind and are successfully employed for the development of strategies for the generation, segregation, storage, and treatment of solid waste. This book explores recent trends, innovations, and recycling methods for a sustainable approach to managing solid waste products and provides a critical review of various approaches, process engineering economics, and sustainable valorization techniques for biological waste products, making it an invaluable resource for beginners and seasoned practitioners.

Inhalt

List of Figures xvii

List of Tables xxi

Preface xxiii

Abbreviations xxv

1 Towards a Circular Future: Sustainable Management of Solid Waste Products 1
Deep Gupta and Sudhir Kumar Gaur

1.1 Introduction 2

1.2 Comprehending Solid Waste 7

1.3 Products Derived from Diverse Metabolic Processes in Live Organisms 17

1.4 Hospital Radioactive Waste Products 28

1.5 Electronic Source Waste Products 31

1.6 Global Trends in the Formation and Management of Solid Waste 33

1.7 Challenges in Solid Waste Management 35

1.8 Emerging Trends and Technologies in Solid Waste Management 40

1.9 Policy Recommendations for Fostering a Circular Economy 41

1.10 Strategies for Promoting Sustainable Consumption and Waste Prevention 42

Conclusion 44

References 45

2 Sustainable Integrated Waste Management 49
Paridhi, Sameer and Subhalaxmi Pradhan

2.1 Introduction 50

2.2 Sustainable Waste Management in Practices 53

2.3 Composting 57

2.4 Waste Sorting and Division 59

2.5 Extended Producer Responsibility (EPR) 60

2.6 Community Participation and Education 61

2.7 Barriers in Sustainable Waste Management 64

2.8 Solid Waste Management 72

2.9 Role of Integrated Sustainable Waste Management 79

2.10 Progress, Challenges and Path Forward 83

2.11 Conclusion 85

References 86

3 An Insight into the Management of the Biomedical Waste Produced During a Pandemic Like Covid- 19 93
Deeksha Ranjan, Roopali Sharma, Anjali Bhati and Choudhary R.

3.1 Introduction 94

3.2 Biomedical Waste During the Pandemic 97

3.3 Steps Involved in Bio-Medical Waste Management 99

3.4 Segregation of BMW 100

3.5 Treatment, Disinfection and Disposal Methods of Covid- 19 Bmw 103

3.6 Economical and Sustainable Methods of BMW Management 106

3.7 Challenges During Management of COVID-19 Biomedical Waste Management 107

3.8 Conclusion and Future Perspectives 110

References 112

4 Role of Artificial Intelligence in Waste Management 117
Diksha Srivastava

4.1 Introduction 117

4.2 Artificial Intelligence as a Revolutionary Innovation in Waste Management 120

4.3 Smart Bin Systems 122

4.4 Waste Monitoring and Prediction 125

4.5 Waste-Sorting Robots 126

4.6 Chemical Analysis and Waste Treatment 128

4.7 Recycling of Waste Using AI 130

4.8 Limitation and Prospects 131

4.9 Conclusion 132

Bibliography 133

5 Application of Remote Sensing and GIS in Waste Management 139
Tishar Chander and Divya Bajpai Tripathy

5.1 Introduction 139

5.2 AI in Environmental Management and Assessment (Chronology and Advancements) 141

5.3 Environmental Evaluation: Explanation, Expansion, and Employment 144

5.4 Different Approaches of AI in Environmental Remediations 146

5.5 Data Analysis and Machine Learning 153

5.6 Geo Spatial Analysis 156

5.7 GIS Optimization and Various Uses 158

5.8 Application of GIS in Optimizing Solid Waste Collection 161

5.9 Role of GIS for Planning of Waste Disposal 171

5.10 Conclusions 174

References 175

6 Process Engineering and Economical Aspects 183
Priyanka Singh, Meena Choudhary and Ram Bhajan Sahu

6.1 Informal Sector Recycling in Solid Waste Management 184

6.2 Pretreatment Processes for Partially Hydrolysing Solid Waste 186

6.3 Biological Approach for Pretreatment Process 192

6.4 Role of Enzyme Immobilization and Genetic Engineering in Solid Waste Management 200

6.5 Economical Aspects of Solid Waste Management 202

6.6 Cost and Effectiveness of Informal SWM Activities 204

6.7 Recommendations for Specific Policy and Practices 206

6.8 Conclusions 207

References 207

7 Valorization of Biomass Wastes for Energy Production 213
Ankit Tripathi, Anurag, Aarti, Subhalaxmi Pradhan and A. K. Jain

Abbreviations 214

7.1 Introduction 214

7.2 Classification and Potential of Biomass Waste 215

7.3 Thermochemical Conversion Processes 221

7.4 Bioethanol from Lignocellulose 228

7.5 Biodiesel from Biomass 230

7.6 Syngas from Biomass 233

7.7 Biohydrogen from Biomass 235

7.8 Biorefinery Approaches 237

7.9 Economical and Environmental Aspects 238

7.10 Conclusion 244

References 245

8 Valorization of Biowastes for Energy Production Using Halophiles 251
Saloni Singh, Ayushi Goyal and Kakoli Dutt

8.1 Introduction 252

8.2 Biowaste and Its Types 253

8.3 Conversion to Value-Added Products 255

8.4 Biowastes as Energy Reservoir 256

8.5 Niche of Halophiles in Biowaste Valorisation 268

8.6 Conclusion 269

References 269

9 Valorization of Biological Solid Waste for Agricultural Sectors 277
Indu Sharma, Komal Yadav, Khushboo Tamboli, Rajeev Kumar, Tanvi Taneja and Raj Singh

9.1 Introduction 278

9.2 Biomass Sources 280

9.3 Sources and Availability of Biological Solid Waste in Agricultural Sectors 286

9.4 Methods of Biological Solid Waste Management 291

9.5 Valoriza…