Abhishek Kumar is Senior IEEE Member/Assistant Director at Chandigarh University, India. His expertise spans AI, Renewable Energy and Image Processing.Priya Batta is Associate Professor at Amity School of Engineering and Technology, Amity University, Punjab, India. She has over 11 years of experience and 15+ publications. Her expertise includes AI, blockchain and IoT.S. Oswalt Manoj is Professor at Alliance University, Bengaluru, India. His research encompasses AI, Big Data and Cloud Computing.Dhaya Chinnathambi is Professor and Head at Adhiparasakthi Engineering College, India. She specializes in Machine Learning, Data Science and Software Architecture.Srivel Ravi is Assistant Professor at Adhiparasakthi Engineering College, India. He specializes in AI-powered Drones, Healthcare Applications and Embedded Systems.

• Preface xviiAbhishek KUMAR, Priya BATTA, S. Oswalt MANOJ, Dhaya CHINNATHAMBI and Srivel RAVIChapter 1 Blockchain and Water Supply Chain: Opportunities, Challenges and Innovations 1Priya BATTA, Vikas WASSON and Soumen SARDAR1.1 Introduction 11.1.1 Challenges of blockchain in the water supply chain 31.1.2 Opportunities of blockchain in the water supply chain 41.1.3 Blockchain innovations in the water supply chain 61.2 Literature review 71.2.1 2018: basic pilot projects (permissioned blockchain) 71.2.2 2019: early adoption with small-scale sensor integration 81.2.3 2020: broader pilot integration of IoT and blockchain 81.2.4 2021: advanced consensus protocols for scalability 81.2.5 2022: hybrid blockchain solutions (public/private networks) 81.2.6 2023: widespread adoption and automated compliance via smart contracts 91.2.7 2024: AI-driven analytics on blockchain data 91.3 Methodology 111.4 Results 131.5 Conclusion 141.6 References 15Chapter 2 Blockchain-enabled Water Supply Chain Management: A Decentralized Approach to Sustainability and Efficiency 19N. KOUSIKA, Ramani P., Ramya V. and M. AKILANDEESWARI2.1 A synopsis of the blockchain system 192.2 Introduction to blockchain for water resource management 212.3 Opportunities in the management of water resources 232.4 IoT and blockchain: risks and opportunities 232.5 Literature survey 242.6 Water supply chain optimization 272.6.1 Proposed working model 282.7 Blockchain framework for water resource management 292.8 Conclusion 302.9 References 31Chapter 3 AI Blockchain Synergy Enhancing Predictive Water Management for Efficient Supply Chain Operations 35Kavitha K., Thiagarajan A., Jeyakarthic M. and Suganya R3.1 Background 353.2 Role of AI in predictive analytics and resource optimization 383.2.1 Blockchain technology for data security, transparency and decentralization 403.2.2 Existing approaches and limitations 413.3 AI-blockchain-optimized water supply chain algorithm 423.3.1 AI-driven predictive water demand estimation 433.3.2 Dynamic resource allocation using RL 433.3.3 Blockchain-based data integrity and smart contracts 443.3.4 Predictive maintenance using anomaly detection 443.3.5 AI-driven predictive maintenance and analytics 443.3.6 Blockchain-based data security and decentralized access 453.4 Hypothesis: AI-blockchain synergy for enhancing predictive water management in supply chain operations 463.4.1 Predictive water demand estimation using AI 463.4.2 AI-based predictive maintenance for infrastructure reliability 473.4.3 Blockchain-based data security and trust in water transactions 473.4.4 Efficiency gain hypothesis (performance improvement) 483.5 Study: AI-blockchain synergy enhancing predictive water management for efficient supply chain operations 483.5.1 Case study context: smart water management in city X 483.5.2 Implementation of AI-blockchain system 493.5.3 Results and impact 493.6 Predictive water management using AI 503.6.1 ML models for water usage prediction 503.6.2 Anomaly detection and system bias alerts 513.6.3 Dynamic time window-based resource distribution 523.6.4 Case study: AI-based prediction accuracy and efficiency gains 523.7 Experimental evaluation and results 533.8 Page layout 553.9 Challenges and future directions 553.9.1 Technical and implementation challenges 553.9.2 Scalability concerns in AI and blockchain integration 563.9.3 Potential enhancements and future research directions 563.9.4 Policy and regulatory considerations 563.10 Summary of key findings of chapter 573.10.1 Impact of AI-blockchain synergy on water supply chain efficiency 573.10.2 Final thoughts on sustainable water resource management 573.11 References 58Chapter 4 Unleashing Blockchain’s Potential: Transforming Water Supply Chains with Transparency, Traceability and Decentralized Efficiency 61K. THIAGARAJAN, Benazir F. BEGUM, G. SUPRAJA, K. SELVI, Dileep PULUGU and P. MALATHI4.1 Introduction 614.1.1 Background 614.1.2 Objectives 634.1.3 Scope 644.2 Literature review 654.3 Methodology 674.3.1 Phase 1: integration of data and IoT deployment 674.3.2 Phase 2: smart contract design 694.3.3 Phase 3: stakeholder consensus and governance 704.3.4 Phase 4: traceability and transparency layer 724.3.5 Implementation and simulation 734.4 Results 734.4.1 Transparency outcomes 744.4.2 Traceability results 754.4.3 Efficiency outcomes 774.4.4 Fraud-reducing outcomes 774.4.5 Discussion of the results 794.5 Conclusion 794.6 References 80Chapter 5 From Source to Tap: Enhancing Traceability and Provenance Tracking in Water Supply Chains with Blockchain Technology 83N. ELAMATHI, Vaishnavi R., Annie T.A., Dileep PULUGU, P. REVATHY and B. Prameela RANI5.1 Introduction 845.1.1 Background 845.1.2 Objectives 855.1.3 Scope 865.2 Literature review 865.3 Methodology 885.3.1 Phase 1: capturing provenance data 885.3.2 Phase 2: blockchain network installation 895.3.3 Phase 3: traceability workflow automation 915.3.4 Phase 4: integration of stakeholder access 925.4 Results 935.4.1 Traceability time 945.4.2 Provenance accuracy 965.4.3 Stakeholder engagement 975.4.4 Discussion 995.5 Conclusion 995.6 References 100Chapter 6 Blockchain-Powered Route Tracking: Enhancing Data Integrity and Fraud Prevention 103R. DHANALAKSHMI, J. RAJESHWAR, Syeda Ambareen RANA, Harika B., P. REVATHY and Poongulali E.6.1 Introduction 1046.1.1 Issues with traditional water route monitoring systems 1046.1.2 Blockchain guarantees the integrity of water path tracking data 1046.1.3 Anti-fraud through blockchain-based water route tracking 1056.1.4 Real-time visibility and transparency of the water supply chain 1056.1.5 Blockchain tracking of water routes and future supply chains 1056.2 Literature review 1066.3 Methodology 1086.3.1 System architecture and blockchain choice 1086.3.2 Data collection and integration with IoT devices 1096.3.3 Smart contracts for automated compliance and fraud detection 1106.3.4 Data security and immutable ledger for fraud prevention 1116.3.5 Integration with existing logistics systems and stakeholder collaboration 1126.3.6 Performance optimization and scalability considerations 1126.3.7 Real-world implementation and case studies 1136.3.8 Future trends and evolving innovations 1136.4 Results 1136.4.1 Data integrity improvement in route tracking 1136.4.2 Fraud prevention effectiveness 1146.4.3 Security enhancements in blockchain-based route tracking 1156.4.4 Adoption rate of blockchain-powered tracking in logistics 1166.5 Conclusion 1176.6 References 118Chapter 7 Securing Route Data with Blockchain: A Decentralized Approach to Fraud Detection 121SEETARAM, S. GOPIKHA, Vaishnavi R., Dileep PULUGU, J. PRAVEEN KUMAR and B. Prameela RANI7.1 Introduction 1227.1.1 Water route data security and fraud threat introduction 1227.1.2 Blockchain as a decentralized solution to water route data security 1227.1.3 Use of smart contracts for fraud detection 1237.1.4 Enabling transparency and trust for water route-based transactions 1237.1.5 Advantages of blockchain-based water route data protection 1237.1.6 Blockchain water route future and security challenges 1247.2 Literature review 1247.2.1 Blockchain supply chain and logistics 1247.2.2 Blockchain and smart contracts for route safety 1257.2.3 Machine learning for anomaly detection in blockchain systems 1257.2.4 Cybersecurity and data privacy in blockchain-based route systems 1257.2.5 Blockchain application in compliance reporting and regulatory compliance 1267.2.6 Scalability and performance enhancement of blockchain 1267.2.7 Blockchain applications for agriculture and IoT-based logistics 1277.2.8 Summary of literature review 1277.3 Methodology 1277.3.1 Data procurement and preprocessing 1287.3.2 Blockchain integration and decentralized storage 1297.3.3 Smart contracts for fraud detection and anomaly detection 1317.3.4 Implementation of real-time monitoring and auditing 1327.4 Results 1337.4.1 Fraud detection accuracy using blockchain and smart contracts 1337.4.2 Blockchain-based transaction validation efficiency 1347.4.3 Compliance reporting success rate 1357.4.4 Improvements in system performance through blockchain 1367.5 Conclusion 1377.6 References 138Chapter 8 Blockchain-powered DeFi: Transforming Water Project Financing for a Sustainable Future 141R. SHYAMALA, D. PRABAKARAN, C. DHAYA, Chaarumathi S., Uma PERUMAL and V. Senthil KUMARAN8.1 Introduction 1428.1.1 Limitations of traditional financing models 1448.2 Water project financing methods – an overview 1468.2.1 Existing DeFi models 1468.2.2 Existing DeFi models – advantages 1488.2.3 DeFi model – challenges 1498.3 Blockchain and DeFi – an understanding 1508.4 Water project financing – DeFi-based solution 1538.5 Case studies and real-time implementation 1558.5.1 Challenges and future prospects 1568.6 Challenges and performance discussion 1578.6.1 Regulatory and legal challenges 1588.6.2 Security risks and vulnerabilities 1588.6.3 Scalability and transaction throughput 1598.6.4 Liquidity constraints and market volatility 1598.6.5 Integration with traditional financial systems 1598.6.6 Performance evaluation and efficiency metrics 1608.7 Conclusion 1638.8 References 164Chapter 9 Empowering Sustainable Water Management: Blockchain Innovations for Achieving the SDGs 167M.K. VIDHYALAKSHMI, R. ANITHA, Aswathy K. CHERIAN, B. YAMINI, N. NITHIYANANDAM and Sundaravadivazhagn BALASUBARAMANIAN9.1 Introduction: the urgency of sustainable water management 1679.2 The global water crisis: challenges and opportunities 1699.2.1 The role of technology in achieving Sustainable Development Goal 6 1699.2.2 The role of blockchain in building a resilient water future 1709.3 Blockchain applications in water quality monitoring 1709.3.1 Real-time water quality tracking with blockchain 1719.4 Case studies: blockchain-based water quality initiatives 1719.5 Ensuring data integrity and public trust in water safety 1729.5.1 Enhancing water access and distribution through blockchain 1729.5.2 Decentralized water resource management 1729.5.3 Peer-to-peer water trading and pricing transparency 1739.5.4 Reducing corruption and inefficiencies in water distribution 1739.6 Blockchain for water financing and investment 1739.7 Smart contracts for water infrastructure funding 1749.8 Crowdsourcing and decentralized finance in water projects 1759.9 Microtransactions to work and fair prices for water 1769.10 Case studies: real-world blockchain solutions for water sustainability 1769.11 Regulatory challenges and compliance in blockchain implementations: a scrutiny 1779.12 Public–private partnerships in the adoption of blockchain 1789.13 Ethical considerations and data privacy in water management 1799.14 The future of blockchain in sustainable water management 1809.14.1 Role of blockchain in sustainable water management 1819.14.2 IoT as the backbone of data collection 1819.14.3 AI for advanced analytics 1819.14.4 Challenges and future directions 1829.14.5 Measuring success and scaling efforts 1829.14.6 Vision for smarter and sustainable water solutions 1839.15 Collaborative multi-stakeholder efforts 1839.16 Conclusion 1849.17 References 184Chapter 10 Role of Blockchain in Transforming the Water Supply Chain 187Gagandeep KAUR, Soumen SARDAR, Pardeep Singh TIWANA and Neha SHARMA10.1 Introduction 18710.1.1 Overview of water supply chain management 18910.2 Key challenges in the water supply chain 19010.3 Related studies 19410.4 Role of digital trasformations in WSCM 19610.4.1 Cloud-based water management 19710.4.2 Blockchain for water transactions 19710.4.3 Digital twin technology 19710.4.4 Consumer engagement and smart invoicing 19810.4.5 Sustainability and strategy agreement 19810.5 BT adoption in water supply chain 19810.6 Blockchain applications in water supply chain 20010.7 Global examples of blockchain in water management 20210.8 Future prospects and conclusion 20310.9 References 204Chapter 11 IoT-based Systems for Water Management Systems: A Comprehensive Bibliometric Analysis 209Gagandeep SINGH, Manmeet KAUR and ARUNDHATI11.1 Introduction 20911.2 Literature review 21211.3 Methodology 21611.4 Results 21711.5 Limitations 22311.6 Conclusion 22411.7 References 226Chapter 12 Adaptive Water Supply Chain Management: A Hybrid Algorithm for Predictive Maintenance and Leak Detection 229Suganya R. and Prakash B.12.1 Introduction 22912.2 Background and related work 23012.2.1 Current approaches in water supply management 23012.2.2 Role of AI, blockchain and quantum computing in water systems 23112.2.3 Limitations of existing predictive maintenance and leak detection techniques 23212.2.4 Review of recent advancements in smart water networks 23312.3 The ABQWSO algorithms: a hybrid approach 23312.3.1 Blockchain integration for secure data sharing 23412.3.2 AI-based predictive maintenance 23412.3.3 Quantum computing for water flow optimization 23512.4 System architecture and implementation 23612.4.1 Framework design 23612.4.2 Computational model and algorithm workflow 23812.4.3 Security and privacy considerations 24012.5 Experimental results and performance evaluation 24012.5.1 Simulation and testing environment 24012.5.2 Evaluation metrics 24112.5.3 Comparison with existing techniques 24212.6 Conclusion 24512.6.1 Summary of key findings 24512.6.2 Future enhancements for ABQWSO 24512.7 References 246Chapter 13 Supporting Sustainable Development Goals 249G. USHA, Vinoth N.A.S., THAMIZHAMUTHU, A. ANBARASI and S.P. MANIRAJ13.1 Introduction 24913.2 Role of blockchain in supporting SDGs 25013.2.1 Enhancing transparency and accountability 25013.2.2 Ensuring water quality and safety 25113.3 Improving water resource management 25313.4 Reducing corruption and fraud 25413.5 Enabling decentralized water governance 25613.6 Case studies and real-world applications 25813.6.1 Blockchain-based water quality monitoring in India 25813.6.2 Peer-to-peer water trading in Australia 26013.6.3 Smart water management in Africa 26313.7 Challenges and future prospects 26613.7.1 Scalability and integration issues 26613.7.2 Data privacy and security concerns 26613.7.3 Policy and regulatory frameworks 26713.8 Conclusion 26813.9 References 269Chapter 14 Fuzzy System for Environmental Monitoring 271Ashwini S., Dhwarithaa R., R. Nithya PARANTHAMAN, Preethiya T., Ramya G. and Abinaya G.14.1 Fuzzy logic-based environmental monitoring and control 27114.2 Fundamentals of fuzzy systems in environmental monitoring 27514.3 Case studies and applications of fuzzy systems 28014.3.1 Air quality monitoring 28014.3.2 Water pollution assessment 28514.3.3 Climate change analysis 28814.4 Hybrid fuzzy-AI models for environmental decision-making 29014.4.1 Machine learning for fuzzy rule optimization 29114.4.2 Deep learning for enhanced environmental prediction 29114.4.3 Advantages of hybrid fuzzy-AI systems 29214.4.4 Practical applications of fuzzy-AI models 29214.5 Challenges and solutions in implementing fuzzy systems 29414.5.1 Computational complexity 29414.5.2 Parameter tuning issues 29514.5.3 Interpretability of fuzzy rules 29514.5.4 Scalability and real-time deployment 29514.6 Future research directions 29514.7 Conclusion 29614.8 References 297Chapter 15 Importance of the Water Supply Chain 299Mamta15.1 Introduction 29915.1.1 Concept of water supply chain 29915.1.2 Significance in modern infrastructure 30015.2 Core components of the water supply chain 30115.2.1 Source water systems 30315.2.2 Distribution networks 30415.2.3 End-user delivery systems 30515.3 Critical aspects of the water supply chain 30615.3.1 Infrastructure requirements 30615.3.2 Quality control measures 30715.3.3 Supply chain security 30715.4 Key challenges in water management systems 30815.4.1 Infrastructure maintenance 30815.4.2 Resource management 30915.4.3 Quality assurance 31015.5 Technology integration in water supply chain management 31115.5.1 Current technological solutions 31115.5.2 Blockchain potential in the water supply chain 31215.5.3 Future technology roadmap 31315.6 Recommendations and future direction 31415.6.1 Best practices 31415.6.2 Implementation strategies 31515.6.3 Future opportunities 31515.7 References 316Chapter 16 The Significance of Data Privacy in Water Supply Chain and Blockchain Technology 319Krishna PRASAD KARANI and Anup PATNAIK16.1 Introduction 31916.2 Objectives 32016.3 Scope of study 32116.4 Literature review 32116.4.1 Conceptual background 32316.5 Research methodology 32416.5.1 Secondary data 32416.5.2 Primary data 32516.6 Analysis 32516.6.1 Analysis of secondary data 32616.6.2 Analysis of primary data 32716.6.3 Missing data imputation analysis 32916.6.4 Blockchain implementation analysis 33016.6.5 Expert interview analysis 33316.6.6 Discussion 33316.7 Conclusion 33516.8 References 336Chapter 17 Quenching Tomorrow: Innovations and Trends in Sustainable Water Management 339Anushka BHATNAGAR, Pooja MAHAJAN and Gaganpreet KAUR17.1 Introduction 33917.2 Innovative technologies in water management 34017.2.1 Smart water grids 34217.2.2 Internet of Things (IoT) 34217.2.3 Advanced water treatment technologies 34317.2.4 Using big data 34417.2.5 Intelligent systems and learning algorithms 34517.3 Blockchain technology in water supply 34617.3.1 Blockchain framework 34717.4 Sustainable water management practices 35017.4.1 Wastewater management 35017.4.2 Green and eco-friendly nanotechnology 35117.4.3 Graywater recycling systems 35317.5 Integrated water resource management (IWRM) 35517.5.1 Solar energy 35517.5.2 Wind energy 35517.5.3 Hydroelectric power 35517.5.4 Biomass energy 35517.5.5 Geothermal energy 35617.6 Emerging research and future directions in water management 35617.7 Conclusion 35717.8 References 357Chapter 18 Integrating Blockchain Technology in Water Supply Chain Management: Challenges and Opportunities 365Mukul GARG, Mehak MALHOTRA, Pooja MAHAJAN and Gaganpreet KAUR18.1 Introduction 36518.2 Blockchain technology in water supply chain 36718.2.1 Fundamentals of blockchain technology 36718.2.2 Applications in water supply chains 36918.2.3 Efficiency and accountability of blockchain 37118.3 Challenges in blockchain adoption in water supply chains 37318.3.1 Technological barriers 37418.3.2 Economic and financial challenges 37518.3.3 Regulatory and compliance issues 37618.3.4 Infrastructural limitations 37618.3.5 Organizational and governance constraints 37718.3.6 Environmental concerns 37918.3.7 Data security issues 37918.4 Case studies and global perspectives 38018.5 Methods for overcoming challenges 38218.5.1 Advanced technological developments 38318.5.2 Economic models 38418.5.3 Supportive regulatory environment 38418.5.4 Enhancing infrastructure 38518.5.5 Enhanced governance frameworks 38518.5.6 Models for sustainability adoption 38618.5.7 Data governance frameworks 38618.5.8 Promoting stakeholder awareness 38718.6 Conclusion and implications 38718.7 References 388List of Authors 393Index 401

Abhishek Kumar is Senior IEEE Member/Assistant Director at Chandigarh University, India. His expertise spans AI, Renewable Energy and Image Processing.Priya Batta is Associate Professor at Amity School of Engineering and Technology, Amity University, Punjab, India. She has over 11 years of experience and 15+ publications. Her expertise includes AI, blockchain and IoT.S. Oswalt Manoj is Professor at Alliance University, Bengaluru, India. His research encompasses AI, Big Data and Cloud Computing.Dhaya Chinnathambi is Professor and Head at Adhiparasakthi Engineering College, India. She specializes in Machine Learning, Data Science and Software Architecture.Srivel Ravi is Assistant Professor at Adhiparasakthi Engineering College, India. He specializes in AI-powered Drones, Healthcare Applications and Embedded Systems.

• Preface xviiAbhishek KUMAR, Priya BATTA, S. Oswalt MANOJ, Dhaya CHINNATHAMBI and Srivel RAVIChapter 1 Blockchain and Water Supply Chain: Opportunities, Challenges and Innovations 1Priya BATTA, Vikas WASSON and Soumen SARDAR1.1 Introduction 11.1.1 Challenges of blockchain in the water supply chain 31.1.2 Opportunities of blockchain in the water supply chain 41.1.3 Blockchain innovations in the water supply chain 61.2 Literature review 71.2.1 2018: basic pilot projects (permissioned blockchain) 71.2.2 2019: early adoption with small-scale sensor integration 81.2.3 2020: broader pilot integration of IoT and blockchain 81.2.4 2021: advanced consensus protocols for scalability 81.2.5 2022: hybrid blockchain solutions (public/private networks) 81.2.6 2023: widespread adoption and automated compliance via smart contracts 91.2.7 2024: AI-driven analytics on blockchain data 91.3 Methodology 111.4 Results 131.5 Conclusion 141.6 References 15Chapter 2 Blockchain-enabled Water Supply Chain Management: A Decentralized Approach to Sustainability and Efficiency 19N. KOUSIKA, Ramani P., Ramya V. and M. AKILANDEESWARI2.1 A synopsis of the blockchain system 192.2 Introduction to blockchain for water resource management 212.3 Opportunities in the management of water resources 232.4 IoT and blockchain: risks and opportunities 232.5 Literature survey 242.6 Water supply chain optimization 272.6.1 Proposed working model 282.7 Blockchain framework for water resource management 292.8 Conclusion 302.9 References 31Chapter 3 AI Blockchain Synergy Enhancing Predictive Water Management for Efficient Supply Chain Operations 35Kavitha K., Thiagarajan A., Jeyakarthic M. and Suganya R3.1 Background 353.2 Role of AI in predictive analytics and resource optimization 383.2.1 Blockchain technology for data security, transparency and decentralization 403.2.2 Existing approaches and limitations 413.3 AI-blockchain-optimized water supply chain algorithm 423.3.1 AI-driven predictive water demand estimation 433.3.2 Dynamic resource allocation using RL 433.3.3 Blockchain-based data integrity and smart contracts 443.3.4 Predictive maintenance using anomaly detection 443.3.5 AI-driven predictive maintenance and analytics 443.3.6 Blockchain-based data security and decentralized access 453.4 Hypothesis: AI-blockchain synergy for enhancing predictive water management in supply chain operations 463.4.1 Predictive water demand estimation using AI 463.4.2 AI-based predictive maintenance for infrastructure reliability 473.4.3 Blockchain-based data security and trust in water transactions 473.4.4 Efficiency gain hypothesis (performance improvement) 483.5 Study: AI-blockchain synergy enhancing predictive water management for efficient supply chain operations 483.5.1 Case study context: smart water management in city X 483.5.2 Implementation of AI-blockchain system 493.5.3 Results and impact 493.6 Predictive water management using AI 503.6.1 ML models for water usage prediction 503.6.2 Anomaly detection and system bias alerts 513.6.3 Dynamic time window-based resource distribution 523.6.4 Case study: AI-based prediction accuracy and efficiency gains 523.7 Experimental evaluation and results 533.8 Page layout 553.9 Challenges and future directions 553.9.1 Technical and implementation challenges 553.9.2 Scalability concerns in AI and blockchain integration 563.9.3 Potential enhancements and future research directions 563.9.4 Policy and regulatory considerations 563.10 Summary of key findings of chapter 573.10.1 Impact of AI-blockchain synergy on water supply chain efficiency 573.10.2 Final thoughts on sustainable water resource management 573.11 References 58Chapter 4 Unleashing Blockchain’s Potential: Transforming Water Supply Chains with Transparency, Traceability and Decentralized Efficiency 61K. THIAGARAJAN, Benazir F. BEGUM, G. SUPRAJA, K. SELVI, Dileep PULUGU and P. MALATHI4.1 Introduction 614.1.1 Background 614.1.2 Objectives 634.1.3 Scope 644.2 Literature review 654.3 Methodology 674.3.1 Phase 1: integration of data and IoT deployment 674.3.2 Phase 2: smart contract design 694.3.3 Phase 3: stakeholder consensus and governance 704.3.4 Phase 4: traceability and transparency layer 724.3.5 Implementation and simulation 734.4 Results 734.4.1 Transparency outcomes 744.4.2 Traceability results 754.4.3 Efficiency outcomes 774.4.4 Fraud-reducing outcomes 774.4.5 Discussion of the results 794.5 Conclusion 794.6 References 80Chapter 5 From Source to Tap: Enhancing Traceability and Provenance Tracking in Water Supply Chains with Blockchain Technology 83N. ELAMATHI, Vaishnavi R., Annie T.A., Dileep PULUGU, P. REVATHY and B. Prameela RANI5.1 Introduction 845.1.1 Background 845.1.2 Objectives 855.1.3 Scope 865.2 Literature review 865.3 Methodology 885.3.1 Phase 1: capturing provenance data 885.3.2 Phase 2: blockchain network installation 895.3.3 Phase 3: traceability workflow automation 915.3.4 Phase 4: integration of stakeholder access 925.4 Results 935.4.1 Traceability time 945.4.2 Provenance accuracy 965.4.3 Stakeholder engagement 975.4.4 Discussion 995.5 Conclusion 995.6 References 100Chapter 6 Blockchain-Powered Route Tracking: Enhancing Data Integrity and Fraud Prevention 103R. DHANALAKSHMI, J. RAJESHWAR, Syeda Ambareen RANA, Harika B., P. REVATHY and Poongulali E.6.1 Introduction 1046.1.1 Issues with traditional water route monitoring systems 1046.1.2 Blockchain guarantees the integrity of water path tracking data 1046.1.3 Anti-fraud through blockchain-based water route tracking 1056.1.4 Real-time visibility and transparency of the water supply chain 1056.1.5 Blockchain tracking of water routes and future supply chains 1056.2 Literature review 1066.3 Methodology 1086.3.1 System architecture and blockchain choice 1086.3.2 Data collection and integration with IoT devices 1096.3.3 Smart contracts for automated compliance and fraud detection 1106.3.4 Data security and immutable ledger for fraud prevention 1116.3.5 Integration with existing logistics systems and stakeholder collaboration 1126.3.6 Performance optimization and scalability considerations 1126.3.7 Real-world implementation and case studies 1136.3.8 Future trends and evolving innovations 1136.4 Results 1136.4.1 Data integrity improvement in route tracking 1136.4.2 Fraud prevention effectiveness 1146.4.3 Security enhancements in blockchain-based route tracking 1156.4.4 Adoption rate of blockchain-powered tracking in logistics 1166.5 Conclusion 1176.6 References 118Chapter 7 Securing Route Data with Blockchain: A Decentralized Approach to Fraud Detection 121SEETARAM, S. GOPIKHA, Vaishnavi R., Dileep PULUGU, J. PRAVEEN KUMAR and B. Prameela RANI7.1 Introduction 1227.1.1 Water route data security and fraud threat introduction 1227.1.2 Blockchain as a decentralized solution to water route data security 1227.1.3 Use of smart contracts for fraud detection 1237.1.4 Enabling transparency and trust for water route-based transactions 1237.1.5 Advantages of blockchain-based water route data protection 1237.1.6 Blockchain water route future and security challenges 1247.2 Literature review 1247.2.1 Blockchain supply chain and logistics 1247.2.2 Blockchain and smart contracts for route safety 1257.2.3 Machine learning for anomaly detection in blockchain systems 1257.2.4 Cybersecurity and data privacy in blockchain-based route systems 1257.2.5 Blockchain application in compliance reporting and regulatory compliance 1267.2.6 Scalability and performance enhancement of blockchain 1267.2.7 Blockchain applications for agriculture and IoT-based logistics 1277.2.8 Summary of literature review 1277.3 Methodology 1277.3.1 Data procurement and preprocessing 1287.3.2 Blockchain integration and decentralized storage 1297.3.3 Smart contracts for fraud detection and anomaly detection 1317.3.4 Implementation of real-time monitoring and auditing 1327.4 Results 1337.4.1 Fraud detection accuracy using blockchain and smart contracts 1337.4.2 Blockchain-based transaction validation efficiency 1347.4.3 Compliance reporting success rate 1357.4.4 Improvements in system performance through blockchain 1367.5 Conclusion 1377.6 References 138Chapter 8 Blockchain-powered DeFi: Transforming Water Project Financing for a Sustainable Future 141R. SHYAMALA, D. PRABAKARAN, C. DHAYA, Chaarumathi S., Uma PERUMAL and V. Senthil KUMARAN8.1 Introduction 1428.1.1 Limitations of traditional financing models 1448.2 Water project financing methods – an overview 1468.2.1 Existing DeFi models 1468.2.2 Existing DeFi models – advantages 1488.2.3 DeFi model – challenges 1498.3 Blockchain and DeFi – an understanding 1508.4 Water project financing – DeFi-based solution 1538.5 Case studies and real-time implementation 1558.5.1 Challenges and future prospects 1568.6 Challenges and performance discussion 1578.6.1 Regulatory and legal challenges 1588.6.2 Security risks and vulnerabilities 1588.6.3 Scalability and transaction throughput 1598.6.4 Liquidity constraints and market volatility 1598.6.5 Integration with traditional financial systems 1598.6.6 Performance evaluation and efficiency metrics 1608.7 Conclusion 1638.8 References 164Chapter 9 Empowering Sustainable Water Management: Blockchain Innovations for Achieving the SDGs 167M.K. VIDHYALAKSHMI, R. ANITHA, Aswathy K. CHERIAN, B. YAMINI, N. NITHIYANANDAM and Sundaravadivazhagn BALASUBARAMANIAN9.1 Introduction: the urgency of sustainable water management 1679.2 The global water crisis: challenges and opportunities 1699.2.1 The role of technology in achieving Sustainable Development Goal 6 1699.2.2 The role of blockchain in building a resilient water future 1709.3 Blockchain applications in water quality monitoring 1709.3.1 Real-time water quality tracking with blockchain 1719.4 Case studies: blockchain-based water quality initiatives 1719.5 Ensuring data integrity and public trust in water safety 1729.5.1 Enhancing water access and distribution through blockchain 1729.5.2 Decentralized water resource management 1729.5.3 Peer-to-peer water trading and pricing transparency 1739.5.4 Reducing corruption and inefficiencies in water distribution 1739.6 Blockchain for water financing and investment 1739.7 Smart contracts for water infrastructure funding 1749.8 Crowdsourcing and decentralized finance in water projects 1759.9 Microtransactions to work and fair prices for water 1769.10 Case studies: real-world blockchain solutions for water sustainability 1769.11 Regulatory challenges and compliance in blockchain implementations: a scrutiny 1779.12 Public–private partnerships in the adoption of blockchain 1789.13 Ethical considerations and data privacy in water management 1799.14 The future of blockchain in sustainable water management 1809.14.1 Role of blockchain in sustainable water management 1819.14.2 IoT as the backbone of data collection 1819.14.3 AI for advanced analytics 1819.14.4 Challenges and future directions 1829.14.5 Measuring success and scaling efforts 1829.14.6 Vision for smarter and sustainable water solutions 1839.15 Collaborative multi-stakeholder efforts 1839.16 Conclusion 1849.17 References 184Chapter 10 Role of Blockchain in Transforming the Water Supply Chain 187Gagandeep KAUR, Soumen SARDAR, Pardeep Singh TIWANA and Neha SHARMA10.1 Introduction 18710.1.1 Overview of water supply chain management 18910.2 Key challenges in the water supply chain 19010.3 Related studies 19410.4 Role of digital trasformations in WSCM 19610.4.1 Cloud-based water management 19710.4.2 Blockchain for water transactions 19710.4.3 Digital twin technology 19710.4.4 Consumer engagement and smart invoicing 19810.4.5 Sustainability and strategy agreement 19810.5 BT adoption in water supply chain 19810.6 Blockchain applications in water supply chain 20010.7 Global examples of blockchain in water management 20210.8 Future prospects and conclusion 20310.9 References 204Chapter 11 IoT-based Systems for Water Management Systems: A Comprehensive Bibliometric Analysis 209Gagandeep SINGH, Manmeet KAUR and ARUNDHATI11.1 Introduction 20911.2 Literature review 21211.3 Methodology 21611.4 Results 21711.5 Limitations 22311.6 Conclusion 22411.7 References 226Chapter 12 Adaptive Water Supply Chain Management: A Hybrid Algorithm for Predictive Maintenance and Leak Detection 229Suganya R. and Prakash B.12.1 Introduction 22912.2 Background and related work 23012.2.1 Current approaches in water supply management 23012.2.2 Role of AI, blockchain and quantum computing in water systems 23112.2.3 Limitations of existing predictive maintenance and leak detection techniques 23212.2.4 Review of recent advancements in smart water networks 23312.3 The ABQWSO algorithms: a hybrid approach 23312.3.1 Blockchain integration for secure data sharing 23412.3.2 AI-based predictive maintenance 23412.3.3 Quantum computing for water flow optimization 23512.4 System architecture and implementation 23612.4.1 Framework design 23612.4.2 Computational model and algorithm workflow 23812.4.3 Security and privacy considerations 24012.5 Experimental results and performance evaluation 24012.5.1 Simulation and testing environment 24012.5.2 Evaluation metrics 24112.5.3 Comparison with existing techniques 24212.6 Conclusion 24512.6.1 Summary of key findings 24512.6.2 Future enhancements for ABQWSO 24512.7 References 246Chapter 13 Supporting Sustainable Development Goals 249G. USHA, Vinoth N.A.S., THAMIZHAMUTHU, A. ANBARASI and S.P. MANIRAJ13.1 Introduction 24913.2 Role of blockchain in supporting SDGs 25013.2.1 Enhancing transparency and accountability 25013.2.2 Ensuring water quality and safety 25113.3 Improving water resource management 25313.4 Reducing corruption and fraud 25413.5 Enabling decentralized water governance 25613.6 Case studies and real-world applications 25813.6.1 Blockchain-based water quality monitoring in India 25813.6.2 Peer-to-peer water trading in Australia 26013.6.3 Smart water management in Africa 26313.7 Challenges and future prospects 26613.7.1 Scalability and integration issues 26613.7.2 Data privacy and security concerns 26613.7.3 Policy and regulatory frameworks 26713.8 Conclusion 26813.9 References 269Chapter 14 Fuzzy System for Environmental Monitoring 271Ashwini S., Dhwarithaa R., R. Nithya PARANTHAMAN, Preethiya T., Ramya G. and Abinaya G.14.1 Fuzzy logic-based environmental monitoring and control 27114.2 Fundamentals of fuzzy systems in environmental monitoring 27514.3 Case studies and applications of fuzzy systems 28014.3.1 Air quality monitoring 28014.3.2 Water pollution assessment 28514.3.3 Climate change analysis 28814.4 Hybrid fuzzy-AI models for environmental decision-making 29014.4.1 Machine learning for fuzzy rule optimization 29114.4.2 Deep learning for enhanced environmental prediction 29114.4.3 Advantages of hybrid fuzzy-AI systems 29214.4.4 Practical applications of fuzzy-AI models 29214.5 Challenges and solutions in implementing fuzzy systems 29414.5.1 Computational complexity 29414.5.2 Parameter tuning issues 29514.5.3 Interpretability of fuzzy rules 29514.5.4 Scalability and real-time deployment 29514.6 Future research directions 29514.7 Conclusion 29614.8 References 297Chapter 15 Importance of the Water Supply Chain 299Mamta15.1 Introduction 29915.1.1 Concept of water supply chain 29915.1.2 Significance in modern infrastructure 30015.2 Core components of the water supply chain 30115.2.1 Source water systems 30315.2.2 Distribution networks 30415.2.3 End-user delivery systems 30515.3 Critical aspects of the water supply chain 30615.3.1 Infrastructure requirements 30615.3.2 Quality control measures 30715.3.3 Supply chain security 30715.4 Key challenges in water management systems 30815.4.1 Infrastructure maintenance 30815.4.2 Resource management 30915.4.3 Quality assurance 31015.5 Technology integration in water supply chain management 31115.5.1 Current technological solutions 31115.5.2 Blockchain potential in the water supply chain 31215.5.3 Future technology roadmap 31315.6 Recommendations and future direction 31415.6.1 Best practices 31415.6.2 Implementation strategies 31515.6.3 Future opportunities 31515.7 References 316Chapter 16 The Significance of Data Privacy in Water Supply Chain and Blockchain Technology 319Krishna PRASAD KARANI and Anup PATNAIK16.1 Introduction 31916.2 Objectives 32016.3 Scope of study 32116.4 Literature review 32116.4.1 Conceptual background 32316.5 Research methodology 32416.5.1 Secondary data 32416.5.2 Primary data 32516.6 Analysis 32516.6.1 Analysis of secondary data 32616.6.2 Analysis of primary data 32716.6.3 Missing data imputation analysis 32916.6.4 Blockchain implementation analysis 33016.6.5 Expert interview analysis 33316.6.6 Discussion 33316.7 Conclusion 33516.8 References 336Chapter 17 Quenching Tomorrow: Innovations and Trends in Sustainable Water Management 339Anushka BHATNAGAR, Pooja MAHAJAN and Gaganpreet KAUR17.1 Introduction 33917.2 Innovative technologies in water management 34017.2.1 Smart water grids 34217.2.2 Internet of Things (IoT) 34217.2.3 Advanced water treatment technologies 34317.2.4 Using big data 34417.2.5 Intelligent systems and learning algorithms 34517.3 Blockchain technology in water supply 34617.3.1 Blockchain framework 34717.4 Sustainable water management practices 35017.4.1 Wastewater management 35017.4.2 Green and eco-friendly nanotechnology 35117.4.3 Graywater recycling systems 35317.5 Integrated water resource management (IWRM) 35517.5.1 Solar energy 35517.5.2 Wind energy 35517.5.3 Hydroelectric power 35517.5.4 Biomass energy 35517.5.5 Geothermal energy 35617.6 Emerging research and future directions in water management 35617.7 Conclusion 35717.8 References 357Chapter 18 Integrating Blockchain Technology in Water Supply Chain Management: Challenges and Opportunities 365Mukul GARG, Mehak MALHOTRA, Pooja MAHAJAN and Gaganpreet KAUR18.1 Introduction 36518.2 Blockchain technology in water supply chain 36718.2.1 Fundamentals of blockchain technology 36718.2.2 Applications in water supply chains 36918.2.3 Efficiency and accountability of blockchain 37118.3 Challenges in blockchain adoption in water supply chains 37318.3.1 Technological barriers 37418.3.2 Economic and financial challenges 37518.3.3 Regulatory and compliance issues 37618.3.4 Infrastructural limitations 37618.3.5 Organizational and governance constraints 37718.3.6 Environmental concerns 37918.3.7 Data security issues 37918.4 Case studies and global perspectives 38018.5 Methods for overcoming challenges 38218.5.1 Advanced technological developments 38318.5.2 Economic models 38418.5.3 Supportive regulatory environment 38418.5.4 Enhancing infrastructure 38518.5.5 Enhanced governance frameworks 38518.5.6 Models for sustainability adoption 38618.5.7 Data governance frameworks 38618.5.8 Promoting stakeholder awareness 38718.6 Conclusion and implications 38718.7 References 388List of Authors 393Index 401

Abhishek Kumar is Senior IEEE Member/Assistant Director at Chandigarh University, India. His expertise spans AI, Renewable Energy and Image Processing.Priya Batta is Associate Professor at Amity School of Engineering and Technology, Amity University, Punjab, India. She has over 11 years of experience and 15+ publications. Her expertise includes AI, blockchain and IoT.S. Oswalt Manoj is Professor at Alliance University, Bengaluru, India. His research encompasses AI, Big Data and Cloud Computing.Dhaya Chinnathambi is Professor and Head at Adhiparasakthi Engineering College, India. She specializes in Machine Learning, Data Science and Software Architecture.Srivel Ravi is Assistant Professor at Adhiparasakthi Engineering College, India. He specializes in AI-powered Drones, Healthcare Applications and Embedded Systems.

• Preface xviiAbhishek KUMAR, Priya BATTA, S. Oswalt MANOJ, Dhaya CHINNATHAMBI and Srivel RAVIChapter 1 Blockchain and Water Supply Chain: Opportunities, Challenges and Innovations 1Priya BATTA, Vikas WASSON and Soumen SARDAR1.1 Introduction 11.1.1 Challenges of blockchain in the water supply chain 31.1.2 Opportunities of blockchain in the water supply chain 41.1.3 Blockchain innovations in the water supply chain 61.2 Literature review 71.2.1 2018: basic pilot projects (permissioned blockchain) 71.2.2 2019: early adoption with small-scale sensor integration 81.2.3 2020: broader pilot integration of IoT and blockchain 81.2.4 2021: advanced consensus protocols for scalability 81.2.5 2022: hybrid blockchain solutions (public/private networks) 81.2.6 2023: widespread adoption and automated compliance via smart contracts 91.2.7 2024: AI-driven analytics on blockchain data 91.3 Methodology 111.4 Results 131.5 Conclusion 141.6 References 15Chapter 2 Blockchain-enabled Water Supply Chain Management: A Decentralized Approach to Sustainability and Efficiency 19N. KOUSIKA, Ramani P., Ramya V. and M. AKILANDEESWARI2.1 A synopsis of the blockchain system 192.2 Introduction to blockchain for water resource management 212.3 Opportunities in the management of water resources 232.4 IoT and blockchain: risks and opportunities 232.5 Literature survey 242.6 Water supply chain optimization 272.6.1 Proposed working model 282.7 Blockchain framework for water resource management 292.8 Conclusion 302.9 References 31Chapter 3 AI Blockchain Synergy Enhancing Predictive Water Management for Efficient Supply Chain Operations 35Kavitha K., Thiagarajan A., Jeyakarthic M. and Suganya R3.1 Background 353.2 Role of AI in predictive analytics and resource optimization 383.2.1 Blockchain technology for data security, transparency and decentralization 403.2.2 Existing approaches and limitations 413.3 AI-blockchain-optimized water supply chain algorithm 423.3.1 AI-driven predictive water demand estimation 433.3.2 Dynamic resource allocation using RL 433.3.3 Blockchain-based data integrity and smart contracts 443.3.4 Predictive maintenance using anomaly detection 443.3.5 AI-driven predictive maintenance and analytics 443.3.6 Blockchain-based data security and decentralized access 453.4 Hypothesis: AI-blockchain synergy for enhancing predictive water management in supply chain operations 463.4.1 Predictive water demand estimation using AI 463.4.2 AI-based predictive maintenance for infrastructure reliability 473.4.3 Blockchain-based data security and trust in water transactions 473.4.4 Efficiency gain hypothesis (performance improvement) 483.5 Study: AI-blockchain synergy enhancing predictive water management for efficient supply chain operations 483.5.1 Case study context: smart water management in city X 483.5.2 Implementation of AI-blockchain system 493.5.3 Results and impact 493.6 Predictive water management using AI 503.6.1 ML models for water usage prediction 503.6.2 Anomaly detection and system bias alerts 513.6.3 Dynamic time window-based resource distribution 523.6.4 Case study: AI-based prediction accuracy and efficiency gains 523.7 Experimental evaluation and results 533.8 Page layout 553.9 Challenges and future directions 553.9.1 Technical and implementation challenges 553.9.2 Scalability concerns in AI and blockchain integration 563.9.3 Potential enhancements and future research directions 563.9.4 Policy and regulatory considerations 563.10 Summary of key findings of chapter 573.10.1 Impact of AI-blockchain synergy on water supply chain efficiency 573.10.2 Final thoughts on sustainable water resource management 573.11 References 58Chapter 4 Unleashing Blockchain’s Potential: Transforming Water Supply Chains with Transparency, Traceability and Decentralized Efficiency 61K. THIAGARAJAN, Benazir F. BEGUM, G. SUPRAJA, K. SELVI, Dileep PULUGU and P. MALATHI4.1 Introduction 614.1.1 Background 614.1.2 Objectives 634.1.3 Scope 644.2 Literature review 654.3 Methodology 674.3.1 Phase 1: integration of data and IoT deployment 674.3.2 Phase 2: smart contract design 694.3.3 Phase 3: stakeholder consensus and governance 704.3.4 Phase 4: traceability and transparency layer 724.3.5 Implementation and simulation 734.4 Results 734.4.1 Transparency outcomes 744.4.2 Traceability results 754.4.3 Efficiency outcomes 774.4.4 Fraud-reducing outcomes 774.4.5 Discussion of the results 794.5 Conclusion 794.6 References 80Chapter 5 From Source to Tap: Enhancing Traceability and Provenance Tracking in Water Supply Chains with Blockchain Technology 83N. ELAMATHI, Vaishnavi R., Annie T.A., Dileep PULUGU, P. REVATHY and B. Prameela RANI5.1 Introduction 845.1.1 Background 845.1.2 Objectives 855.1.3 Scope 865.2 Literature review 865.3 Methodology 885.3.1 Phase 1: capturing provenance data 885.3.2 Phase 2: blockchain network installation 895.3.3 Phase 3: traceability workflow automation 915.3.4 Phase 4: integration of stakeholder access 925.4 Results 935.4.1 Traceability time 945.4.2 Provenance accuracy 965.4.3 Stakeholder engagement 975.4.4 Discussion 995.5 Conclusion 995.6 References 100Chapter 6 Blockchain-Powered Route Tracking: Enhancing Data Integrity and Fraud Prevention 103R. DHANALAKSHMI, J. RAJESHWAR, Syeda Ambareen RANA, Harika B., P. REVATHY and Poongulali E.6.1 Introduction 1046.1.1 Issues with traditional water route monitoring systems 1046.1.2 Blockchain guarantees the integrity of water path tracking data 1046.1.3 Anti-fraud through blockchain-based water route tracking 1056.1.4 Real-time visibility and transparency of the water supply chain 1056.1.5 Blockchain tracking of water routes and future supply chains 1056.2 Literature review 1066.3 Methodology 1086.3.1 System architecture and blockchain choice 1086.3.2 Data collection and integration with IoT devices 1096.3.3 Smart contracts for automated compliance and fraud detection 1106.3.4 Data security and immutable ledger for fraud prevention 1116.3.5 Integration with existing logistics systems and stakeholder collaboration 1126.3.6 Performance optimization and scalability considerations 1126.3.7 Real-world implementation and case studies 1136.3.8 Future trends and evolving innovations 1136.4 Results 1136.4.1 Data integrity improvement in route tracking 1136.4.2 Fraud prevention effectiveness 1146.4.3 Security enhancements in blockchain-based route tracking 1156.4.4 Adoption rate of blockchain-powered tracking in logistics 1166.5 Conclusion 1176.6 References 118Chapter 7 Securing Route Data with Blockchain: A Decentralized Approach to Fraud Detection 121SEETARAM, S. GOPIKHA, Vaishnavi R., Dileep PULUGU, J. PRAVEEN KUMAR and B. Prameela RANI7.1 Introduction 1227.1.1 Water route data security and fraud threat introduction 1227.1.2 Blockchain as a decentralized solution to water route data security 1227.1.3 Use of smart contracts for fraud detection 1237.1.4 Enabling transparency and trust for water route-based transactions 1237.1.5 Advantages of blockchain-based water route data protection 1237.1.6 Blockchain water route future and security challenges 1247.2 Literature review 1247.2.1 Blockchain supply chain and logistics 1247.2.2 Blockchain and smart contracts for route safety 1257.2.3 Machine learning for anomaly detection in blockchain systems 1257.2.4 Cybersecurity and data privacy in blockchain-based route systems 1257.2.5 Blockchain application in compliance reporting and regulatory compliance 1267.2.6 Scalability and performance enhancement of blockchain 1267.2.7 Blockchain applications for agriculture and IoT-based logistics 1277.2.8 Summary of literature review 1277.3 Methodology 1277.3.1 Data procurement and preprocessing 1287.3.2 Blockchain integration and decentralized storage 1297.3.3 Smart contracts for fraud detection and anomaly detection 1317.3.4 Implementation of real-time monitoring and auditing 1327.4 Results 1337.4.1 Fraud detection accuracy using blockchain and smart contracts 1337.4.2 Blockchain-based transaction validation efficiency 1347.4.3 Compliance reporting success rate 1357.4.4 Improvements in system performance through blockchain 1367.5 Conclusion 1377.6 References 138Chapter 8 Blockchain-powered DeFi: Transforming Water Project Financing for a Sustainable Future 141R. SHYAMALA, D. PRABAKARAN, C. DHAYA, Chaarumathi S., Uma PERUMAL and V. Senthil KUMARAN8.1 Introduction 1428.1.1 Limitations of traditional financing models 1448.2 Water project financing methods – an overview 1468.2.1 Existing DeFi models 1468.2.2 Existing DeFi models – advantages 1488.2.3 DeFi model – challenges 1498.3 Blockchain and DeFi – an understanding 1508.4 Water project financing – DeFi-based solution 1538.5 Case studies and real-time implementation 1558.5.1 Challenges and future prospects 1568.6 Challenges and performance discussion 1578.6.1 Regulatory and legal challenges 1588.6.2 Security risks and vulnerabilities 1588.6.3 Scalability and transaction throughput 1598.6.4 Liquidity constraints and market volatility 1598.6.5 Integration with traditional financial systems 1598.6.6 Performance evaluation and efficiency metrics 1608.7 Conclusion 1638.8 References 164Chapter 9 Empowering Sustainable Water Management: Blockchain Innovations for Achieving the SDGs 167M.K. VIDHYALAKSHMI, R. ANITHA, Aswathy K. CHERIAN, B. YAMINI, N. NITHIYANANDAM and Sundaravadivazhagn BALASUBARAMANIAN9.1 Introduction: the urgency of sustainable water management 1679.2 The global water crisis: challenges and opportunities 1699.2.1 The role of technology in achieving Sustainable Development Goal 6 1699.2.2 The role of blockchain in building a resilient water future 1709.3 Blockchain applications in water quality monitoring 1709.3.1 Real-time water quality tracking with blockchain 1719.4 Case studies: blockchain-based water quality initiatives 1719.5 Ensuring data integrity and public trust in water safety 1729.5.1 Enhancing water access and distribution through blockchain 1729.5.2 Decentralized water resource management 1729.5.3 Peer-to-peer water trading and pricing transparency 1739.5.4 Reducing corruption and inefficiencies in water distribution 1739.6 Blockchain for water financing and investment 1739.7 Smart contracts for water infrastructure funding 1749.8 Crowdsourcing and decentralized finance in water projects 1759.9 Microtransactions to work and fair prices for water 1769.10 Case studies: real-world blockchain solutions for water sustainability 1769.11 Regulatory challenges and compliance in blockchain implementations: a scrutiny 1779.12 Public–private partnerships in the adoption of blockchain 1789.13 Ethical considerations and data privacy in water management 1799.14 The future of blockchain in sustainable water management 1809.14.1 Role of blockchain in sustainable water management 1819.14.2 IoT as the backbone of data collection 1819.14.3 AI for advanced analytics 1819.14.4 Challenges and future directions 1829.14.5 Measuring success and scaling efforts 1829.14.6 Vision for smarter and sustainable water solutions 1839.15 Collaborative multi-stakeholder efforts 1839.16 Conclusion 1849.17 References 184Chapter 10 Role of Blockchain in Transforming the Water Supply Chain 187Gagandeep KAUR, Soumen SARDAR, Pardeep Singh TIWANA and Neha SHARMA10.1 Introduction 18710.1.1 Overview of water supply chain management 18910.2 Key challenges in the water supply chain 19010.3 Related studies 19410.4 Role of digital trasformations in WSCM 19610.4.1 Cloud-based water management 19710.4.2 Blockchain for water transactions 19710.4.3 Digital twin technology 19710.4.4 Consumer engagement and smart invoicing 19810.4.5 Sustainability and strategy agreement 19810.5 BT adoption in water supply chain 19810.6 Blockchain applications in water supply chain 20010.7 Global examples of blockchain in water management 20210.8 Future prospects and conclusion 20310.9 References 204Chapter 11 IoT-based Systems for Water Management Systems: A Comprehensive Bibliometric Analysis 209Gagandeep SINGH, Manmeet KAUR and ARUNDHATI11.1 Introduction 20911.2 Literature review 21211.3 Methodology 21611.4 Results 21711.5 Limitations 22311.6 Conclusion 22411.7 References 226Chapter 12 Adaptive Water Supply Chain Management: A Hybrid Algorithm for Predictive Maintenance and Leak Detection 229Suganya R. and Prakash B.12.1 Introduction 22912.2 Background and related work 23012.2.1 Current approaches in water supply management 23012.2.2 Role of AI, blockchain and quantum computing in water systems 23112.2.3 Limitations of existing predictive maintenance and leak detection techniques 23212.2.4 Review of recent advancements in smart water networks 23312.3 The ABQWSO algorithms: a hybrid approach 23312.3.1 Blockchain integration for secure data sharing 23412.3.2 AI-based predictive maintenance 23412.3.3 Quantum computing for water flow optimization 23512.4 System architecture and implementation 23612.4.1 Framework design 23612.4.2 Computational model and algorithm workflow 23812.4.3 Security and privacy considerations 24012.5 Experimental results and performance evaluation 24012.5.1 Simulation and testing environment 24012.5.2 Evaluation metrics 24112.5.3 Comparison with existing techniques 24212.6 Conclusion 24512.6.1 Summary of key findings 24512.6.2 Future enhancements for ABQWSO 24512.7 References 246Chapter 13 Supporting Sustainable Development Goals 249G. USHA, Vinoth N.A.S., THAMIZHAMUTHU, A. ANBARASI and S.P. MANIRAJ13.1 Introduction 24913.2 Role of blockchain in supporting SDGs 25013.2.1 Enhancing transparency and accountability 25013.2.2 Ensuring water quality and safety 25113.3 Improving water resource management 25313.4 Reducing corruption and fraud 25413.5 Enabling decentralized water governance 25613.6 Case studies and real-world applications 25813.6.1 Blockchain-based water quality monitoring in India 25813.6.2 Peer-to-peer water trading in Australia 26013.6.3 Smart water management in Africa 26313.7 Challenges and future prospects 26613.7.1 Scalability and integration issues 26613.7.2 Data privacy and security concerns 26613.7.3 Policy and regulatory frameworks 26713.8 Conclusion 26813.9 References 269Chapter 14 Fuzzy System for Environmental Monitoring 271Ashwini S., Dhwarithaa R., R. Nithya PARANTHAMAN, Preethiya T., Ramya G. and Abinaya G.14.1 Fuzzy logic-based environmental monitoring and control 27114.2 Fundamentals of fuzzy systems in environmental monitoring 27514.3 Case studies and applications of fuzzy systems 28014.3.1 Air quality monitoring 28014.3.2 Water pollution assessment 28514.3.3 Climate change analysis 28814.4 Hybrid fuzzy-AI models for environmental decision-making 29014.4.1 Machine learning for fuzzy rule optimization 29114.4.2 Deep learning for enhanced environmental prediction 29114.4.3 Advantages of hybrid fuzzy-AI systems 29214.4.4 Practical applications of fuzzy-AI models 29214.5 Challenges and solutions in implementing fuzzy systems 29414.5.1 Computational complexity 29414.5.2 Parameter tuning issues 29514.5.3 Interpretability of fuzzy rules 29514.5.4 Scalability and real-time deployment 29514.6 Future research directions 29514.7 Conclusion 29614.8 References 297Chapter 15 Importance of the Water Supply Chain 299Mamta15.1 Introduction 29915.1.1 Concept of water supply chain 29915.1.2 Significance in modern infrastructure 30015.2 Core components of the water supply chain 30115.2.1 Source water systems 30315.2.2 Distribution networks 30415.2.3 End-user delivery systems 30515.3 Critical aspects of the water supply chain 30615.3.1 Infrastructure requirements 30615.3.2 Quality control measures 30715.3.3 Supply chain security 30715.4 Key challenges in water management systems 30815.4.1 Infrastructure maintenance 30815.4.2 Resource management 30915.4.3 Quality assurance 31015.5 Technology integration in water supply chain management 31115.5.1 Current technological solutions 31115.5.2 Blockchain potential in the water supply chain 31215.5.3 Future technology roadmap 31315.6 Recommendations and future direction 31415.6.1 Best practices 31415.6.2 Implementation strategies 31515.6.3 Future opportunities 31515.7 References 316Chapter 16 The Significance of Data Privacy in Water Supply Chain and Blockchain Technology 319Krishna PRASAD KARANI and Anup PATNAIK16.1 Introduction 31916.2 Objectives 32016.3 Scope of study 32116.4 Literature review 32116.4.1 Conceptual background 32316.5 Research methodology 32416.5.1 Secondary data 32416.5.2 Primary data 32516.6 Analysis 32516.6.1 Analysis of secondary data 32616.6.2 Analysis of primary data 32716.6.3 Missing data imputation analysis 32916.6.4 Blockchain implementation analysis 33016.6.5 Expert interview analysis 33316.6.6 Discussion 33316.7 Conclusion 33516.8 References 336Chapter 17 Quenching Tomorrow: Innovations and Trends in Sustainable Water Management 339Anushka BHATNAGAR, Pooja MAHAJAN and Gaganpreet KAUR17.1 Introduction 33917.2 Innovative technologies in water management 34017.2.1 Smart water grids 34217.2.2 Internet of Things (IoT) 34217.2.3 Advanced water treatment technologies 34317.2.4 Using big data 34417.2.5 Intelligent systems and learning algorithms 34517.3 Blockchain technology in water supply 34617.3.1 Blockchain framework 34717.4 Sustainable water management practices 35017.4.1 Wastewater management 35017.4.2 Green and eco-friendly nanotechnology 35117.4.3 Graywater recycling systems 35317.5 Integrated water resource management (IWRM) 35517.5.1 Solar energy 35517.5.2 Wind energy 35517.5.3 Hydroelectric power 35517.5.4 Biomass energy 35517.5.5 Geothermal energy 35617.6 Emerging research and future directions in water management 35617.7 Conclusion 35717.8 References 357Chapter 18 Integrating Blockchain Technology in Water Supply Chain Management: Challenges and Opportunities 365Mukul GARG, Mehak MALHOTRA, Pooja MAHAJAN and Gaganpreet KAUR18.1 Introduction 36518.2 Blockchain technology in water supply chain 36718.2.1 Fundamentals of blockchain technology 36718.2.2 Applications in water supply chains 36918.2.3 Efficiency and accountability of blockchain 37118.3 Challenges in blockchain adoption in water supply chains 37318.3.1 Technological barriers 37418.3.2 Economic and financial challenges 37518.3.3 Regulatory and compliance issues 37618.3.4 Infrastructural limitations 37618.3.5 Organizational and governance constraints 37718.3.6 Environmental concerns 37918.3.7 Data security issues 37918.4 Case studies and global perspectives 38018.5 Methods for overcoming challenges 38218.5.1 Advanced technological developments 38318.5.2 Economic models 38418.5.3 Supportive regulatory environment 38418.5.4 Enhancing infrastructure 38518.5.5 Enhanced governance frameworks 38518.5.6 Models for sustainability adoption 38618.5.7 Data governance frameworks 38618.5.8 Promoting stakeholder awareness 38718.6 Conclusion and implications 38718.7 References 388List of Authors 393Index 401