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Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research : For Sustainable Development Goals
| Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research : For Sustainable Development Goals |
| Autore | Tripathi Gaurav |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (339 pages) |
| Altri autori (Persone) |
ShakyaAchala
KangaShruti SinghSuraj Kumar RaiPraveen Kumar |
| Collana | Advances in Geographical and Environmental Sciences Series |
| ISBN | 981-9716-85-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- 1 Experimental Analysis of Precipitation Forecasting Using Machine Learning and Distributed Machine Learning Approach -- 1.1 Introduction -- 1.2 Study Area and Data Source -- 1.2.1 Study Area -- 1.2.2 Data Source -- 1.3 Methodology -- 1.3.1 Models' Implementation Using Distributed Learning -- 1.3.2 Data Preprocessing -- 1.4 Models -- 1.4.1 Decision Tree -- 1.4.2 Random Forest -- 1.4.3 K-Nearest Neighbor -- 1.4.4 Ada-Boost -- 1.5 DASKML -- 1.6 Evaluation Metrics -- 1.6.1 Confusion Matrix -- 1.7 Results and Discussion -- 1.7.1 Analysis of Rainfall Classification Using Machine Learning Algorithms For Different Locations in India -- 1.7.2 Analysis of DaskML Classification Algorithms for the Different Locations in India -- 1.7.3 Summary of the Results Executed in the Single Machine Using Classification Algorithms in the Ratio of 70:30 and 80:20 -- 1.7.4 Summary of the Results Executed in the Single Machine Using Classification Algorithms in the Ratio of 70:30 and 80:20 -- 1.8 Conclusion -- Appendix -- References -- 2 Analysis of Inherent Memory in Hydroclimatic Time Series: Implications for Statistical Tests and Long-Term Data Generation -- 2.1 Introduction -- 2.2 Influence of Autocorrelation on Statistical Tests -- 2.3 Serial Dependence in Hydrometeorological Variables -- 2.4 Results -- 2.4.1 Lag1 Autocorrelation -- 2.4.2 Number of Lags for Significant Serial Dependence -- 2.4.3 Maximum Significant Negative Autocorrelation -- 2.4.4 Maximum Lag of Significant Negative Autocorrelation -- 2.5 Conclusion -- 2.6 Data Availability Statement -- References -- 3 Intelligent Solutions for Flood Management: Integrating Artificial Intelligence and Machine Learning -- 3.1 Introduction -- 3.1.1 Flood Prediction and Early Warning System -- 3.1.2 Flood Monitoring and Detection -- 3.1.3 Food Risk Assessment and Mapping.
3.1.4 Flood Damage Assessment -- 3.1.5 Flood Control and Management -- 3.1.6 Flood Response and Resource Allocation -- 3.2 Sustainable Flood Management -- 3.3 Use of AI ML in Flood -- 3.3.1 Random Forest -- 3.3.2 Convolutional Neural Networks (CNNs) -- 3.3.3 Long Short-Term Memory (LSTM) -- 3.3.4 Support Vector Machines (SVM) -- 3.3.5 K-Means Clustering -- 3.3.6 Decision Trees -- 3.3.7 Bayesian Networks -- 3.4 Conclusion -- References -- 4 Artificial Intelligence and Machine Learning-Based Building Solutions: Pathways to Ensure Occupant Comfort and Energy Efficiency with Climate Change -- 4.1 Background -- 4.2 Information and Automation Systems -- 4.2.1 Facility Management Systems -- 4.2.2 Building Management Systems -- 4.2.3 Building Energy Management Systems (BEMS) -- 4.3 Machine Learning-Based Prediction Algorithms and Artificial Intelligence-Based Controls -- 4.3.1 Machine Learning-Based Prediction Algorithms -- 4.3.2 Artificial Intelligence-Based Controls -- 4.4 Digital Twins -- 4.4.1 Overview of Digital Twins -- 4.4.2 Digital Twins in the Building Sector -- 4.4.3 Digital Twins and Building Energy Conservation -- 4.4.4 Digital Twins and Occupant Thermal Comfort -- 4.4.5 Discussion and Future Directions -- 4.5 Conclusion -- References -- 5 Deep Learning Models for Fine-Scale Climate Change Prediction: Enhancing Spatial and Temporal Resolution Using AI -- 5.1 Introduction -- 5.1.1 Background and Significance of Fine-Scale Climate Change Prediction -- 5.1.2 Importance of Spatial and Temporal Resolution in Climate Modeling -- 5.1.3 Role of Artificial Intelligence (AI) and Deep Learning for Predicting Climate -- 5.2 Overview of Deep Learning in Climate Science -- 5.2.1 An Explanation of Deep Learning Methods and Their Uses -- 5.2.2 An Overview of Recurrent Neural Networks (RNN) and Convolutional Neural Networks (CNN). 5.3 Data Acquisition and Preprocessing -- 5.3.1 Overview of Climate Data Sources and Formats -- 5.3.2 Challenges in Obtaining High-Resolution Climate Datasets -- 5.4 Enhancing Spatial Resolution with Deep Learning -- 5.4.1 Techniques for Downscaling Coarse-Resolution Climate Data -- 5.4.2 Application of Generative Adversarial Networks (GANs) for Super-Resolution Mapping -- 5.4.3 Examples of Improved Spatial Resolution in Climate Modeling -- 5.5 Performance Evaluation and Validation -- 5.5.1 Metrics for Assessing Deep Learning Models' Dependability and Accuracy -- 5.5.2 Comparison with Traditional Climate Models and Statistical Approaches -- 5.6 Case Studies and Applications -- 5.6.1 Case Studies Demonstrating the Effectiveness of Deep Learning for Fine-Scale Climate Prediction -- 5.6.2 Applications in a Range of Fields, Including Renewable Energy, Urban Planning, and Agriculture -- 5.7 Challenges and Future Directions -- 5.7.1 Addressing Data Limitations and Uncertainties in Fine-Scale Climate Prediction -- 5.7.2 Ethical Considerations and Biases in AI-Driven Climate Modeling -- 5.7.3 Opportunities for Interdisciplinary Collaborations and Knowledge Exchange -- 5.7.4 Future Directions and Emerging Trends in Deep Learning for Research on Climate Change -- 5.8 Conclusion -- 5.8.1 Summary of Key Findings and Contributions -- 5.8.2 Implications for Advancing Fine-Scale Climate Change Prediction Using AI -- 5.8.3 Call for Collaboration and Future Research in the Field -- References -- 6 Exploring Streamflow Variation in the Subarnarekha River Basin, Jharkhand, India -- 6.1 Introduction -- 6.2 Study Area -- 6.3 Materials and Methods -- 6.3.1 Mann-Kendall Test -- 6.3.2 Sen's Slope Method -- 6.3.3 Spearman Correlation Test -- 6.3.4 Pettitt Test -- 6.3.5 Streamflow Variability Test (Coefficient of Variation) -- 6.4 Results and Discussion. 6.4.1 Streamflow and Rainfall Characteristics -- 6.4.2 Trends in Annual Streamflow and Rainfall -- 6.4.3 Trends in Seasonal Mean Streamflow and Rainfall -- 6.4.4 Changepoint Detection -- 6.4.5 Correlation of Streamflow with Rainfall -- 6.5 Conclusion -- References -- 7 Geoinformatics-Based Land Degradation Susceptibility Analysis and Sustainability of Palghar Sea Coastal Areas -- 7.1 Introduction -- 7.2 Rational of the Study -- 7.3 Literature Review -- 7.4 Limitations of the Study -- 7.5 Materials and Methods -- 7.6 Results and Discussion -- 7.7 Conclusions -- 7.8 Recommendations -- References -- 8 Climate Change and Maritime Security in the Indo-Pacific Region: A Strategic Approach -- 8.1 Introduction -- 8.2 Calamity of Climate Change -- 8.2.1 Coral Reefs -- 8.2.2 Seagrass Beds -- 8.2.3 Mangroves and Coastal Wetlands -- 8.3 Nascent Anxieties in the Maritime Security Domain -- 8.4 Strategic Approaches for Climate Change -- 8.5 Challenges and Opportunities -- 8.6 Conclusion -- References -- 9 Climate Change and Renewable Energy -- 9.1 Introduction -- 9.1.1 Renewable and Sustainable Clean Energy -- 9.1.2 Wind Energy -- 9.1.3 Global Scenario -- 9.1.4 National Scenario -- 9.2 Environmental Issues -- 9.2.1 Solar Energy -- 9.2.2 Tidal Energy -- 9.2.3 Bioenergy -- 9.2.4 Hydropower Energy -- 9.2.5 Geothermal Energy -- 9.2.6 Renewable Energy Projects Around the Globe -- 9.3 Strategies by the Government in Favour to Combat Global Climate Change -- 9.3.1 Carbon Neutral and Net Zero -- 9.3.2 India's Net Zero Pledge -- 9.3.3 National Green Hydrogen Mission -- 9.4 Hand Towards Zero Emission -- 9.5 Sustainable Development -- 9.5.1 Role of Renewable Energies in Socioeconomic Growth and a Clean Environment -- 9.5.2 Obstacles to Deploy Renewable Energy Resources (RERs) -- 9.6 Conclusions -- 9.7 Recommendations -- References. 10 Sustainable Development Goals and the Indian Himalayan Region -- 10.1 Introduction -- 10.2 Objective -- 10.3 Materials and Methods -- 10.4 Discussion and Results -- 10.4.1 Indian Himalayan Region and Sustainable Development Goals -- 10.4.2 Social Sustainable Development Score and the Indian Himalayan Region -- 10.4.3 Environmental Sustainable Development Score and the Indian Himalayan Region -- 10.4.4 Economic Sustainable Development Score and the Indian Himalayan Region -- 10.4.5 Political Sustainable Development Score and the Indian Himalayan Region -- 10.4.6 Composite Sustainable Development Score and the Indian Himalayan Region -- 10.5 Conclusions -- References -- 11 Climate Change and Energy Aspects -- 11.1 Introduction -- 11.2 Climate Change Impact -- 11.2.1 Fossil Fuels -- 11.2.2 Climate Change Science -- 11.2.3 Adaptation Resulting from Climate Change -- 11.3 Global Warming and Greenhouse Gas Emissions -- 11.3.1 Rising Sea Levels and Coastal Vulnerability -- 11.3.2 Tremendous Climate Actions and Natural Disasters -- 11.3.3 Ecological and Biodiversity Impact -- 11.3.4 Socioeconomic Consequences -- 11.4 Renewable Energy Sources and Technology -- 11.4.1 Solar Photovoltaic (PV) Systems -- 11.4.2 Wind Power -- 11.4.3 Hydropower -- 11.4.4 Biomass Energy -- 11.4.5 Geothermal Energy -- 11.4.6 Ocean Energy (Wave and Tidal) -- 11.5 Renewable Energy Agencies, Government Institute and Research Centre -- 11.5.1 Government Agencies -- 11.5.2 Government Institutes and Research Centres -- 11.6 Renewable Energy in India -- 11.7 Challenges and Opportunities -- 11.8 Future Research Directions -- References -- 12 Mustard Yield Forecast Using Radiation Use Efficiency Method -- 12.1 Introduction -- 12.2 Study Area -- 12.3 Dataset and Methodology -- 12.3.1 Fraction of Absorbed Photosynthetically Active Radiation (fAPAR). 12.3.2 Photosynthetically Active Radiation (PAR). |
| Record Nr. | UNINA-9910861089503321 |
Tripathi Gaurav
|
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| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Disaster Management and Environmental Sustainability
| Disaster Management and Environmental Sustainability |
| Autore | Kumar Sanjay |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2024 |
| Descrizione fisica | 1 online resource (299 pages) |
| Altri autori (Persone) |
SinghSuraj Kumar
KangaShruti MerajGowhar FarooqMajid NathawatM. S |
| ISBN |
1-394-16746-6
1-394-16745-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- Editorial -- Preface -- Acknowledgments -- Chapter 1 Assessment of Changes in River Morphology Due to Illegal Sand Mining by Geospatial Techniques -- 1.1 Introduction -- 1.2 Materials and Methods -- 1.3 Results and Discussion -- 1.4 Conclusion -- References -- Chapter 2 Feasibility of Solar Power Generation Potential in Una, Bilaspur, Solan, and Sirmaur Districts of Himachal Pradesh Using Geospatial Techniques -- 2.1 Introduction -- 2.2 Material and Methods -- 2.3 Statistical Summary, Results, and Analysis -- 2.4 Conclusion -- Limitations of the Study -- References -- Chapter 3 Assessment of the Drivers of Domestic Water Consumption Pattern in Growing Population of Idah LGA, Kogi State, Nigeria -- 3.1 Introduction -- 3.2 Study Area -- 3.3 Methodology -- 3.4 Result and Discussion -- 3.4.1 Demographic Characteristics of Respondents -- 3.4.2 Sources of Water for Domestic Uses within the Study Area -- 3.4.3 Magnitude of Household Water Demand in the Study Area -- 3.4.4 Consumption Pattern of Water in the Study Area -- 3.4.5 Factors Influencing Consumption Pattern of Household Water in the Study Area -- 3.5 Conclusion and Recommendations -- References -- Chapter 4 Disaster Risk Reduction and Risk Management: A Conceptual Framework -- 4.1 Introduction -- 4.2 Types of Disasters -- 4.3 Disasters in Different Paradigms -- 4.4 Criteria for Disasters -- 4.5 Disaster Risk -- 4.6 Disaster Risk Reduction (DRR) -- 4.7 Disaster Risk Management (DRM) -- 4.7.1 Indicators of Disaster Risk Management -- 4.7.2 Measures of Disaster Management -- 4.8 Conclusion -- References -- Chapter 5 Impact of Environmental Degradation and Disaster Happenings on Human Health -- 5.1 Introduction -- 5.2 Methods, Results and Discussion -- 5.2.1 Environmental Degradation -- 5.2.2 Human Health.
5.2.3 Impact of Environmental Degradation on Human Health -- 5.2.4 Remedies: Environmental Education and Simple Measuring Techniques -- 5.3 Conclusions -- References -- Chapter 6 Impact of Development on Environmental Degradation: An Indian Diaspora -- 6.1 Introduction -- 6.2 Environmental Degradation -- 6.3 Conclusion -- References -- Chapter 7 Food Crisis During Covid-19 Pandemic Among Migrants: A Study With Reference to Rohtak City (Haryana) -- 7.1 Introduction -- 7.2 Study Area -- 7.3 Patterns and Reasons for Migration -- 7.4 Objectives -- 7.5 Data Source and Methodology -- 7.6 Results and Discussions -- 7.7 Policy Suggestions and Way Forward -- 7.8 Conclusions -- References -- Chapter 8 Crime Against Women in Patna and Its Environs: Degradation in Social Environment -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Conclusions and Suggestions -- References -- Chapter 9 Expansion of Irrigation Facilities and Its Impact on Cropping Intensity: A Spatio-Temporal Analysis With Reference to Haryana -- 9.1 Introduction -- 9.2 Objectives -- 9.3 Study Area -- 9.4 Database and Methodology -- 9.5 Results and Discussion -- 9.5.1 Trends of Cropping Intensity in Haryana -- 9.5.2 Spatial Pattern of Cropping Intensity -- 9.6 Relationship Between the Extent of Irrigation and Cropping Intensity -- 9.7 Conclusion -- References -- Chapter 10 Dwindling Forest Cover and Environmental Degradation: A Case Study of Bihar -- 10.1 Introduction -- 10.2 Objectives -- 10.3 Research Design -- 10.4 Study Area -- 10.5 Results and Discussion -- 10.6 Conclusion -- References -- Chapter 11 Environment and Sustainable Development: Issues and Challenges -- 11.1 Introduction -- 11.2 Environment and Development -- 11.3 Environmental Ethical Issues and Development -- 11.4 Measures and Suggestions -- References -- Chapter 12 Government Programs and Policies Towards Green Environment. 12.1 Environmental Laws -- 12.1.1 Importance of Legal Laws Related to Environment -- 12.2 Major Programs and Policies of India Towards Green Environment -- 12.2.1 Wildlife Protection Act (1972) of India -- 12.2.2 Water (Prevention and Control of Pollution) Act, 1974 -- 12.2.3 Tiwary Committee (1980) -- 12.2.4 Air (Prevention and Control of Pollution) Act, 1981 -- 12.2.5 Forests (Conservation) Act, 1980 -- 12.2.6 Amended Forest Act, 1992 -- 12.2.7 Environment (Protection) Act, 1986 -- 12.2.7.1 Salient Features -- 12.2.8 Indian Environmental Policy (1992) -- 12.2.9 National Environmental Policy 2006 -- 12.2.9.1 Objectives of National Environment Policy, 2006 -- 12.2.10 National Action Plan on Climate Change -- 12.2.11 Recent Environmental Programs in India -- 12.3 Conclusion -- References -- Chapter 13 Use of Geospatial Technique in Urban Flood Hazard Management -- 13.1 Introduction -- 13.2 A GIS-Based Method for Identifying Flood Risk -- Conclusion -- References -- Chapter 14 Impact of Urbanization on Infrastructure and Environment of the Cities in Bihar -- 14.1 Introduction -- Conclusion -- References -- Chapter 15 Uses of Wi-Fi Technology and Its Effects on Social Life -- 15.1 Introduction -- 15.2 Origin of Wi-Fi -- 15.3 Uses of Wi-Fi -- 15.4 How Wi-Fi Works -- 15.5 Tools -- 15.5.1 Terms, Uses, and Communication -- 15.6 Effect on Society -- 15.6.1 Positive Effect of Wi-Fi on Society -- 15.6.2 Negative Effect of Wi-Fi on Society -- 15.6.3 Some Myths about Wi-Fi Technology -- 15.6.4 False Claims About Wi-Fi Health Risks -- 15.7 Results -- 15.8 Conclusion -- Acknowledgment -- References -- Chapter 16 Application of Remote Sensing and GIS in Disaster Management: An Applied Review -- 16.1 Introduction -- 16.2 Classification of Disasters -- 16.3 Disaster Management Cycle -- 16.3.1 Application of Remote Sensing and GIS in Disaster Management. 16.3.2 Phases of Disaster Management -- 16.4 Conclusion -- References -- Chapter 17 Population Change and Its Impact on the Shortfall of Groundwater: A Case Study of Berhampore in Murshidabad, West Bengal -- 17.1 Introduction -- 17.2 Berhampore and Groundwater Condition -- 17.3 Origin of Berhampore -- 17.4 Social Upliftment of Berhampore -- 17.5 Analysis -- 17.6 Conclusion -- References -- Chapter 18 Development of Future Rule Curves for KLRS Pulichintala Reservoir Operation Using SWAT and GA Models -- 18.1 Introduction -- 18.2 Study Area and Data -- 18.3 Methodology -- 18.3.1 Soil Water Assessment Tool Model -- 18.3.2 Genetic Algorithm Model -- 18.4 Results and Discussion -- 18.4.1 KLRS Pulichintala Basin SWAT Results Discussion -- 18.4.2 KLRS Pulichintala Basin Optimization Results Discussion -- 18.5 Conclusion -- Acknowledgments -- References -- Chapter 19 Understanding the Relationship Between River Health and Society for River Restoration: A Review -- 19.1 Introduction -- 19.2 Rivers, Society, and Health -- 19.3 Impact of Changes in Water Ecosystemx Contents -- 19.4 What Are The Challenges? -- 19.5 What Are The Solutions? -- 19.5.1 Health Assessment Indicators -- 19.6 River Restoration -- 19.6.1 River Restoration Counters These Pressures Through a Wide Range of Social Benefits -- 19.6.2 Other Benefits of River Restoration -- 19.6.2.1 Classic Flood Risk Management -- 19.6.2.2 Modern Flood Risk Management -- 19.7 River Pollution -- 19.8 Environmental Flow Requirements -- 19.9 Conclusions -- References -- Chapter 20 Geospatial Mapping of Groundwater Potential Zones Using Multi-Criteria Decision Making AHP Approach in a Pisangan Watershed, Ajmer District (RAJ.) -- 20.1 Introduction -- 20.2 Remote Sensing and GIS Techniques -- 20.3 Analytical Hierarchical Process -- 20.4 Weighted Overlay Method -- 20.5 Study Region -- 20.6 Flowchart of Methodology. 20.7 Methodology -- 20.8 Multi-Influencing Factors of Groundwater Potential Zones -- 20.9 Results and Discussion -- 20.9.1 Weightage Calculation -- 20.9.2 Geomorphology -- 20.9.3 Land Use/Land Cover -- 20.9.4 Lineament Density -- 20.9.5 Drainage Density -- 20.9.6 Slope -- 20.9.7 Soil -- 20.9.8 Rainfall -- 20.9.9 Digital Elevation Model (DEM) -- 20.9.10 Delineating the Groundwater Potential Zone -- 20.9.11 Overlay Analysis for the Delineation of Groundwater Potential Zone -- 20.10 Conclusion -- References -- Index -- Also of Interest -- EULA. |
| Record Nr. | UNINA-9910876979603321 |
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Kumar Sanjay
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| Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Geospatial Technology for Natural Resource Management
| Geospatial Technology for Natural Resource Management |
| Autore | Kanga Shruti |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2024 |
| Descrizione fisica | 1 online resource (488 pages) |
| Altri autori (Persone) |
MerajGowhar
SinghSuraj Kumar FarooqMajid NathawatM. S |
| ISBN | 1-394-16748-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgements -- Introduction -- Chapter 1 Hydro-Chemical Characterization and Geospatial Analysis of Groundwater for Drinking and Agriculture Usage in Bhandara District, Central India -- 1.1 Introduction -- 1.2 Study Area -- 1.3 Methodology -- 1.3.1 Data Used -- 1.3.2 Descriptive Statistics Analysis -- 1.3.3 Mann-Kendall Test (Non-Parametric Test) -- 1.3.4 Regression Model (Parametric Test) -- 1.3.5 Spearman's Rank Correlation Coefficient -- 1.3.6 Inverse Distance Weighing -- 1.3.7 Groundwater Quality -- 1.3.8 Piper Diagram -- 1.3.9 Groundwater for Drinking and Irrigation Purposes -- 1.4 Results and Discussion -- 1.4.1 Statistical Characteristics -- 1.4.2 Trend Analysis -- 1.4.3 Linear Regression Analysis -- 1.4.4 Spatial-Temporal Rainfall Distribution -- 1.4.5 Effects of Water Pollution -- 1.4.5.1 Solution Steps -- 1.4.5.2 Chemical Constituents of Groundwater -- 1.4.6 Drinking and Irrigation Purposes -- 1.5 Conclusion -- References -- Chapter 2 Technology-Driven Approaches to Enhance Disaster Response and Recovery -- 2.1 Introduction -- 2.1.1 The Importance of Disaster Management and the Challenges Faced During Emergencies -- 2.1.2 The Critical Role of Technology in Improving Disaster Response, Mitigation, and Recovery Efforts -- 2.1.3 Literature Review Related to Various Technology- Driven Approaches to Supplement Disaster Response and Recovery Strategies -- 2.2 Early Warning Systems -- 2.2.1 Remote Sensing and Satellite Technology -- 2.2.1.1 Use of Remote Sensing and Satellite Technology for Monitoring Natural Disasters such as Hurricanes, Floods, and Wildfires -- 2.2.1.2 Role of Satellite Imagery in Helping Early Detection, Tracking, and Prediction of Disaster Events -- 2.2.1.3 Examples of Successful Early Warning Systems Implemented Using Remote Sensing Data.
2.2.2 Sensor Networks and Internet of Things (IoT) -- 2.2.2.1 The Role of Sensor Networks and IoT Devices in Disaster Management -- 2.2.2.2 Use of Sensors to Monitor Various Parameters Like Temperature, Humidity, Seismic Activity, and Water Levels to Provide Early Warnings -- 2.2.2.3 The Importance of Data Integration and Real-Time Communication in Ensuring Timely Responses -- 2.3 Emergency Communication and Information Management -- 2.3.1 Mobile Technologies -- 2.3.1.1 Use of Mobile Phones, SMS Alerts and Mobile Apps in Disseminating Emergency Alerts and Information -- 2.3.1.2 Benefit of Using Mobile Technologies in Coordinating Rescue Operations, Locating Survivors and Providing Critical Updates to Affected Populations -- 2.3.1.3 Case Studies Where Mobile Technologies Played a Pivotal Role in Disaster Management -- 2.3.2 Social Media and Crowdsourcing -- 2.3.2.1 The Significance of Social Media Platforms in Disaster Management -- 2.3.2.2 Role of Social Media to Gather Real-Time Information, Identify Affected Areas, and Mobilize Volunteers -- 2.3.2.3 The Concept of Crowdsourcing and How it Can Assist in Data Collection, Damage Assessment, and Resource Allocation -- 2.4 Geospatial Technologies for Situational Awareness -- 2.4.1 Geographic Information Systems (GISs) -- 2.4.1.1 GIS and Its Applications in Disaster Management -- 2.4.1.2 Role of GIS in Creating Spatial Databases, Mapping Affected Areas, and Analyzing Vulnerability and Risk -- 2.4.1.3 Integration of GIS with Other Technologies for Better Situational Awareness -- 2.4.2 Unmanned Aerial Vehicles (UAVs) and Drones -- 2.4.2.1 Role of UAVs and Drones in Disaster Response and Recovery -- 2.4.2.2 Applications of UAVs in Aerial Surveys, Damage Assessment, and Search and Rescue Operations -- 2.4.2.3 Challenges and Ethical Considerations Associated with the Use of Drones in Disaster Management. 2.5 Data Analytics and Decision Support Systems -- 2.5.1 Big Data and Predictive Analytics -- 2.5.1.1 Big Data Analytics Application in Disaster Risk Assessment, Resource Allocation, and Decision Making -- 2.5.1.2 Potential of Predictive Analytics in Forecasting Disaster Impacts, Identifying Vulnerable Populations, and Optimizing Response Strategies -- 2.5.2 Artificial Intelligence (AI) and Machine Learning (ML) -- 2.5.2.1 The Use of AI and ML Techniques in Disaster Management -- 2.5.2.2 Applications of AI-Powered Algorithms for Analyzing Large Datasets, Automating Damage Assessment, and Supporting Evacuation Planning -- 2.5.2.3 Ethical Implications and Challenges of Using AI and ML in Disaster Response -- 2.6 Conclusion -- 2.6.1 Key Advancements in Technology for Disaster Management Discussed in the Chapter -- 2.6.2 The Need for Continued Research, Innovation, and Collaboration to Harness Technology's Full Potential in Mitigating the Impacts of Disasters -- 2.6.3 Vision for the Future, Where Technology Plays a Central Role in Building Resilient Communities and Enhancing Disaster Preparedness -- References -- Chapter 3 Integrating Sustainable Development Goals with the Management of Natural and Technological Hazards and Disaster Risk Reduction -- 3.1 Introduction -- 3.1.1 Types of Disasters/Hazards -- 3.1.1.1 Natural Disasters -- 3.1.1.2 Technological Hazards -- 3.1.1.3 Biological Hazards -- 3.1.1.4 Climate-Related Hazards -- 3.1.2 Disaster Management -- 3.1.3 Disaster Risk Reduction -- 3.2 SD and SDGs -- 3.2.1 Timeline of SDGs -- 3.2.2 Concept of Sustainability -- 3.2.3 Goal 1: No Poverty -- 3.2.4 Goal 2: Zero Hunger -- 3.2.5 Goal 3: Good Health and Well-Being -- 3.2.6 Goal 4: Quality Education -- 3.2.7 Goal 5: Gender Equality -- 3.2.8 Goal 6: Clean Water and Sanitation -- 3.2.9 Goal 7: Affordable and Clean Energy. 3.2.10 Goal 8: Decent Work and Economic Growth -- 3.2.11 Goal 9: Industry, Innovation, and Infrastructure -- 3.2.12 Goal 10: Reduced Inequality -- 3.2.13 Goal 11: Sustainable Cities and Communities -- 3.2.14 Goal 12: Responsible Consumption and Production -- 3.2.15 Goal 13: Climate Action -- 3.2.16 Goal 14: Life Below Water -- 3.2.17 Goal 15: Life on Land -- 3.2.18 Goal 16: Peace and Justice Strong Institutions -- 3.2.19 Goal 17: Partnerships to Achieve the Goal -- 3.3 Conclusion -- References -- Chapter 4 Hydrological and Morphometric Study of the Girna River Basin, Maharashtra Using Remote Sensing and GIS Techniques -- 4.1 Introduction -- 4.2 Study Area -- 4.3 Database and Methodology -- 4.4 Results and Discussion -- 4.4.1 Linear Aspects -- 4.4.1.1 Stream Order (Nu) -- 4.4.1.2 Stream Number (Nu) -- 4.4.1.3 Stream Length (Lu) and Mean/Average Stream Length (Lu1) -- 4.4.1.4 Stream Length Ratio (RL) -- 4.4.1.5 Bifurcation Ratio (Rb) -- 4.4.2 Areal Aspects -- 4.4.2.1 Drainage Density (Dd) -- 4.4.2.2 Stream Frequency (Fs) -- 4.4.2.3 Drainage Texture (Dt) -- 4.4.2.4 Elongation Ratio (Re) -- 4.4.2.5 Circularity Ratio (Rc) -- 4.4.2.6 Form Factor (Ff) -- 4.4.3 Relief Aspects -- 4.4.3.1 Basin Relief (R) -- 4.4.3.2 Relief Ratio (Rr) -- 4.4.3.3 Slope -- 4.4.3.4 Gradient Ratio -- 4.5 Conclusion -- Acknowledgments -- References -- Chapter 5 A Geospatial Analysis of the Effect of Waste Disposal on Groundwater Quality in Ife North Local Government Area, Osun State, Nigeria -- 5.1 Introduction -- 5.2 Study Area -- 5.3 Materials and Methods -- 5.3.1 Data -- 5.3.2 Data Analysis -- 5.4 Results and Discussion -- 5.4.1 Characteristics of Selected Dumpsites -- 5.4.2 Uses of Groundwater -- 5.4.3 Quality of Selected Groundwater -- Conclusion -- References. Chapter 6 Enhancing Sustainable Natural Resource Management Through Innovative Use of Waste Materials in Concrete Production -- 6.1 Introduction -- 6.2 Data Collection and Methodology -- 6.2.1 Experimental Design -- 6.2.2 Mix Proportions -- 6.2.3 Preparation of Specimens -- 6.2.4 Curing Process -- 6.2.5 Testing of Specimens -- 6.3 Results and Analysis -- 6.3.1 Compressive Strength and Tensile Strength at 28 Days -- 6.3.2 Workability Results from Slump and Compaction Factor Tests -- 6.4 Conclusion -- References -- Chapter 7 Dynamics of Land Use/Land Cover of Watershed Changes in Kolhapur District Maharashtra -- 7.1 Introduction -- 7.2 Study Area -- 7.3 Methodology -- 7.4 Results and Discussion -- 7.4.1 Watershed KR 55 -- 7.4.2 Watershed KR 63 -- 7.4.3 Watershed KR 64 -- 7.4.4 Watershed KR 66 -- 7.4.5 Watershed KR 71 -- 7.4.6 Watershed KR 77 -- 7.5 Conclusion -- References -- Chapter 8 Formulation and Mapping of GIS-Based Smart Village Plan Using Drone Imagery -- 8.1 Introduction -- 8.2 Study Area -- 8.3 Materials and Methods -- 8.3.1 Existing Site Survey and Investigation - Gap Analysis -- 8.3.1.1 Physical Infrastructure -- 8.3.1.2 Sewage and Drainage -- 8.3.1.3 Sanitation -- 8.3.1.4 Power Supply -- 8.3.1.5 Solid Waste Management -- 8.3.1.6 Public Health -- 8.3.1.7 Road Infrastructure -- 8.3.1.8 Housing Infrastructure -- 8.3.1.9 Health Services -- 8.3.1.10 Education Facilities -- 8.3.1.11 Maternity and Childcare -- 8.3.1.12 Dungarpur Reelka Infrastructure Matrix -- 8.4 Results and Discussion -- 8.4.1 Solid Waste Management -- 8.4.2 Kill Waste -- 8.4.3 Drinking Water -- 8.4.4 Drainage -- 8.4.5 Rainwater Harvesting -- 8.4.6 Sewage -- 8.4.7 Solar Street Light -- 8.4.8 Solar Energy -- 8.4.9 Biogas Plant -- 8.4.10 Smart Agriculture -- 8.4.11 Organic Farming -- 8.4.12 Farming -- 8.4.13 Poultry Farming -- 8.4.14 Fish Farming -- 8.4.15 Ayurvedic Farming. 8.4.16 Smart Dairy. |
| Record Nr. | UNINA-9910898094503321 |
|
Kanga Shruti
|
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| Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Natural Resources Management and Sustainable Livelihoods in the Mountainous Region : Evidence, Gap and Future Strategies / / edited by Praveen Kumar Rai, Ashutosh Singh, Bobby Beingachhi, Suraj Kumar Singh
| Natural Resources Management and Sustainable Livelihoods in the Mountainous Region : Evidence, Gap and Future Strategies / / edited by Praveen Kumar Rai, Ashutosh Singh, Bobby Beingachhi, Suraj Kumar Singh |
| Autore | Rai Praveen Kumar |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (342 pages) |
| Disciplina | 304.2 |
| Altri autori (Persone) |
SinghAshutosh
BeingachhiBobby SinghSuraj Kumar |
| Collana | Advances in Geographical and Environmental Sciences |
| Soggetto topico |
Sustainability
Water Hydrology Environmental management Environmental Management |
| ISBN |
9789819721009
9789819720996 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | - CONCEPT OF SUSTAINABLE LIVELIHOOD: A Case Study of Laika Dadhiya forest village, Tinsukia, Assam -- Integrated Hydrologic Assessment of Water Management Options for Regulated Wetlands under Conditions of Rainfall Change: A case study of Bhandara District, India -- Measuring Sustainable Development of Cities Using Remote Sensing and Geospatial Technologies: A Review -- Eco-Entrepreneurship and Sustainable Development in Mizoram’s Mountainous Landscape: Unleashing Potentials for Positive Change -- Micro-credit for micro-entrepreneurs: A study on PM Street Vendor’s Loan with special reference to Mizoram State -- Global and Indian Perspectives on Sustainable Development, Remote Sensing, and Climate Change: An Overview -- Status and challenges for Sustainable Rural Livelihood faced by the Small Tea Growers(STG) in the Darjeeling hills, India -- Marginal Uplands in the Philippines: Characteristics, Occurrence, and Management for Improved Crop Production and Environmental Quality -- DYNAMIC TRANSITIONS IN WULAR LAKE’S LANDUSE AND LANDCOVER : ANALYZING THE ROLE OF URBAN DEVELOPMENT AND AGRICULTURAL ACTIVITIES -- Petrography and major oxide geochemistry of dolerite dykes from Kunnam region Villupuram, Tamilnadu, Southern India -- Analyzing the Driving Factors Causing Urban Sprawl Using Logistic Regression model in Greater Shillong planning area, India -- Slope stability Analysis of road cut slopes using Limit Equilibrium Method in Kumaun Lesser Himalayan Belt -- Assessment of land use/land cover change and forest fragmentation in Kohima district, Nagaland: A mountainous region of northeast India -- Overview of Sustainable Development Goals -- Effectiveness of Drainage Morphmetric Analysis for Water Resource Management in Changing Climate Scenarios -- PFAFSTETTER CODE BASED WATERSHED DELIMITATION, GEOLOGICAL OBSERVATIONS, LAND COVER, AND POPULATION DENSITY ANALYSIS FOR MIZORAM THROUGH REMOTE SENSING: AIDING AND/ OR IMPROVISING THE DIGITAL WATERSHED ATLAS OF INDIA -- The Role of Entrepreneurship in Promoting Sustainable Development through the ODOP Programme in Uttar Pradesh -- Effects of Land Use and Land Cover Change on Physical and Chemical Properties of Soil in Tuirini Watershed, Mizoram, NE India -- Natural Disasters in Uttarakhand: Their Root Causes, Effects, and Suggestions -- Leaf to life: An overview of the socio-economic status of tea tribes in Assam. |
| Record Nr. | UNINA-9910878051903321 |
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Rai Praveen Kumar
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sustainability and Health Informatics : A Systems Approach to Address the Climate Action Induced Global Challenge / / edited by Gaurav Tripathi, Achala Shakya, Shruti Kanga, L. T. Sasang Guite, Suraj Kumar Singh
| Sustainability and Health Informatics : A Systems Approach to Address the Climate Action Induced Global Challenge / / edited by Gaurav Tripathi, Achala Shakya, Shruti Kanga, L. T. Sasang Guite, Suraj Kumar Singh |
| Autore | Tripathi Gaurav |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (308 pages) |
| Disciplina | 304.2 |
| Altri autori (Persone) |
ShakyaAchala
KangaShruti GuiteL. T. Sasang SinghSuraj Kumar |
| Collana | Advances in Geographical and Environmental Sciences |
| Soggetto topico |
Sustainability
Climatology Medical informatics Climate Sciences Health Informatics |
| ISBN | 981-9767-06-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Climate Change, Health, and Health Informatics -- Climate Change Impacts on Health in Remote Indigenous Community: A Case of Great Andamanese Community in Andaman Islands, India -- Environmental Sustainability and Its Impact on Public Health -- The Role of Health Informatics in Achieving Sustainable Development Goals.-I ntegrating Ethics and Social Responsibility in Health Informatics -- Introduction to Health Informatics (HI): Enhancing Healthcare through Information Technology -- Evaluating the Influence of Haryana's Air Quality on Public Health: A Geospatial Approach -- Food Security through Sustainable Agriculture: A Prospective Study in the Indian Context -- Environmental Sustainability and its impact on Public Health in Ladakh-India -- Sustainable Agriculture and Food Security in India -- Assessing interdependency of Climate change and Food Security: An Overview -- Environmental Drivers of Vector-Borne Disease Utilizing Geospatial Techniques in Jaipur -- Health informatics: an emerging strategy for clinical care -- Telemedicine: an information strategy for health -- Cryptanalysis and Improvement of Rifaqat Ali et al.’s Scheme on Wireless Sensor Networks for Agriculture Monitoring -- Climate Change and Desert Dust Storms Induced Public Health Impacts on Rural Inhabitants of Western India -- Therapeutic Potential of Natural Pharmacological Agents (Flavonoids and Other Phenolic Compounds) Found in Plants -- Predicting Parkinson disease using analytical algorithm: A Review. |
| Record Nr. | UNINA-9910887818403321 |
|
Tripathi Gaurav
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Transforming Agricultural Management for a Sustainable Future : Climate Change and Machine Learning Perspectives / / edited by Shruti Kanga, Suraj Kumar Singh, Khetan Shevkani, Vamdev Pathak, Bhartendu Sajan
| Transforming Agricultural Management for a Sustainable Future : Climate Change and Machine Learning Perspectives / / edited by Shruti Kanga, Suraj Kumar Singh, Khetan Shevkani, Vamdev Pathak, Bhartendu Sajan |
| Autore | Kanga Shruti |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (300 pages) |
| Disciplina | 910.02 |
| Altri autori (Persone) |
SinghSuraj Kumar
ShevkaniKhetan PathakVamdev SajanBhartendu |
| Collana | World Sustainability Series |
| Soggetto topico |
Physical geography
Sustainability Environmental geography Geography Agriculture Physical Geography Integrated Geography Regional Geography |
| ISBN | 3-031-63430-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter1. Understanding the Challenges of Climate Change for Agricultural Management -- Chapter2. Machine Learning Approaches for Crop Yield Prediction -- Chapter3. Data-Driven Decision Making in Agricultural Resource Allocation -- Chapter4. Remote Sensing and Precision Agriculture: A Sustainable Future -- Chapter5. Managing Water Resources for Sustainable Agricultural Production -- Chapter6. Integrating Agroforestry Practices for Climate Change Mitigation and Adaptation -- Chapter7. Exploring the Role of Blockchain in Sustainable Agricultural Management -- Chapter8. Sustainable Soil Management through Advanced Technologies -- Chapter9. Climate-Smart Agricultural Policies for a Sustainable Future -- Chapter10. Promoting Sustainable Agricultural Practices through Farmer-Driven Innovation -- Chapter11. Climate Change Impacts on Crop Productivity and Food Security: An Overview -- Chapter12. Climate change impacts on water resources and implications for agricultural management -- Chapter13. Advanced technologies for sustainable soil management in a changing climate -- Chapter14. Machine learning approaches for improving water management and irrigation efficiency in agriculture -- Chapter15. Machine learning applications for crop disease and pest monitoring and management -- Chapter16. Climate-resilient agroforestry systems for sustainable land use and livelihoods. |
| Record Nr. | UNINA-9910879583203321 |
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Kanga Shruti
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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