Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
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
|
||
| 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 |
|
Kumar Sanjay
|
||
| Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Natural Resources Management and Sustainable Livelihoods in the Mountainous Region : Evidence, Gap and Future Strategies
| Natural Resources Management and Sustainable Livelihoods in the Mountainous Region : Evidence, Gap and Future Strategies |
| Autore | Rai Praveen Kumar |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (342 pages) |
| Altri autori (Persone) |
SinghAshutosh
BeingachhiBobby SinghSuraj Kumar |
| Collana | Advances in Geographical and Environmental Sciences Series |
| ISBN |
9789819721009
9789819720996 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- 1 Concept of Sustainable Livelihood: A Case Study of Laika Dadhiya Forest Village, Tinsukia, Assam -- 1.1 Introduction -- 1.2 The Study Area -- 1.3 Objectives -- 1.4 Analysis -- 1.4.1 Family Profile -- 1.4.2 Forest Dependency -- 1.4.3 Flood and Livelihood -- 1.4.4 Responses for Living in Forests -- 1.4.5 Perception Regarding Preservation -- 1.5 Summary of the Findings -- 1.6 Conclusion -- References -- 2 Integrated Hydrologic Assessment of Water Management Options for Regulated Wetlands Under Conditions of Rainfall Change: A Case Study of Bhandara District, India -- 2.1 Introduction -- 2.2 Study Area -- 2.3 Methodology -- 2.3.1 Standard Deviation -- 2.3.2 Coefficient of Variation -- 2.3.3 Ground Water and Hydrological Investigations -- 2.4 Results and Discussion -- 2.4.1 Rainfall Distribution -- 2.4.2 Ground Water and Hydrological Investigations -- 2.4.3 Water Pollution and Biodiversity Issues -- 2.5 Conclusion -- References -- 3 Measuring Sustainable Development of Cities Using Remote Sensing and Geospatial Technologies: A Review -- 3.1 Introduction -- 3.2 Overview of Sustainable Development Goals -- 3.3 Sustainable Development Goals Focus Area -- 3.4 Role of Remote Sensing to Assess SDGs -- 3.5 Role of Remote Sensing to Assess SDGs in the Indian Scenario -- 3.5.1 Sdg 6 -- 3.5.2 Sdg 11 -- 3.5.3 Sdg 13 -- 3.5.4 Sdg 15 -- 3.6 Conclusion -- References -- 4 Eco-Entrepreneurship and Sustainable Development in Mizoram's Mountainous Landscape: Unleashing Potentials for Positive Change -- 4.1 Introduction -- 4.2 Research Question -- 4.3 Eco-Entrepreneurship -- 4.4 Sustainable Development -- 4.5 Eco-Entrepreneurship and Sustainable Development and Its Relevance to Mizoram -- 4.6 Review of Literature -- 4.7 Gaps and Areas in Existing Literature -- 4.8 Conceptual Framework -- 4.9 Benefits of Eco-Entrepreneurship in Mizoram.
4.10 Challenges and Limitations -- 4.11 Policy Recommendations -- 4.12 Collaborative Approach -- 4.13 Potential Avenues for Future Research -- 4.14 Conclusion -- References -- 5 Micro-Credit for Micro-Entrepreneurs: A Study on PM Street Vendor's Loan with Special Reference to Mizoram State -- 5.1 Introduction -- 5.1.1 Background of the Scheme "PM SVANidhi" -- 5.2 Objectives of the Study -- 5.3 Research Methodology -- 5.4 Overview and Implementation of PM SVANidhi in India -- 5.5 Overview of Mizoram State in the Implementation of PM SVANidhi -- 5.6 Empirical Analysis -- 5.6.1 General Information About the Loan -- 5.6.2 Guarantor Insisting by Banks -- 5.6.3 Sufficiency of Loan Amount -- 5.6.4 Whether the Scheme Will Help to Recover Their Livelihoods? -- 5.6.5 Digitization of PM SVANidhi -- 5.6.6 Digital Payment of Street Vendors -- 5.6.7 Status of Street Vendors Loan Repayment -- 5.6.8 Impact of Interest Subsidy on the Street Vendors -- 5.7 Major Findings and Conclusion -- References -- 6 Global and Indian Perspectives on Sustainable Development, Remote Sensing, and Climate Change: An Overview -- 6.1 Introduction -- 6.2 Sustainability and Climate Change: Global Scenario -- 6.3 Remote Sensing and Climate Change: Global Scenario -- 6.4 Sustainability and Climate Change: Indian Scenario -- 6.5 Remote Sensing and Climate Change: Indian Scenario -- 6.6 Conclusions -- References -- 7 Status and Challenges for Sustainable Rural Livelihood Faced by the Small Tea Growers (STG) in the Darjeeling Hills, India -- 7.1 Introduction -- 7.2 Study Area -- 7.3 Database and Methods -- 7.4 Results and Discussions -- 7.4.1 Characteristics of Tea Farms -- 7.4.2 Farmers Characteristics -- 7.4.3 Livelihood Index of STGs in Tea Growing Areas of Different Blocks in the Darjeeling Himalayan Region -- 7.4.4 Correlations Between Land Productivity and Income in Various Sectors. 7.5 Role of STG Organizations to Support Their Livelihood Condition -- 7.5.1 Mineral Spring Sanjukta Vikash Sangh (MSSVS) -- 7.5.2 Darjeeling Hills Small Tea Growers Welfare Society (DHSTGWS) -- 7.5.3 Shittong Organic Small Tea Growers Welfare Society -- 7.5.4 ShelpuThamdara Small Tea Growers Welfare Society (STSTGWS) -- 7.5.5 Teesta Small Tea Farmers Welfare Society (TSTFWS) -- 7.5.6 Teesta Lamahatta Organic Small Tea Growers Welfare Society (TLOSTGWS) -- 7.5.7 SeeyokKhasmal Busty Organic Tea Growers Welfare Society -- 7.5.8 Yanki Tea-Darjeeling Orthodox Small Tea Growers Welfare Society -- 7.5.9 Nim Busty Small Tea Farmers Producers Society -- 7.6 Conclusion -- References -- 8 Marginal Uplands in the Philippines: Characteristics, Occurrence, and Management for Improved Crop Production and Environmental Quality -- 8.1 Introduction -- 8.2 Definition of Marginal Uplands -- 8.3 Extent and Importance of Marginal Uplands -- 8.4 Biophysical Characteristics and Occurrence -- 8.5 Sustainable Management of Marginal Uplands -- 8.6 Summary -- References -- 9 Dynamic Transitions in Wular Lake's Land Use and Land Cover: Analyzing the Role of Urban Development and Agricultural Activities -- 9.1 Introduction -- 9.1.1 Conceptual Framework of Land Use and Land Cover (LULC) -- 9.1.2 Aspects of Land Use and Land Cover Change and Factors Responsible -- 9.2 Study Area -- 9.3 Data Source and Methodology -- 9.3.1 Data Collection -- 9.3.2 Data Pre-Processing -- 9.3.3 Image Classification -- 9.3.4 Classification Techniques -- 9.3.5 Land Use and Land Cover Change Analysis -- 9.3.6 Accuracy Assessment -- 9.4 Results and Discussions -- 9.4.1 Land Use and Land Cover and Change Analysis in 1991 & -- 2001 -- 9.4.2 Land Use and Land Cover and Change Analysis in 2011 & -- 2018 -- 9.4.3 Accuracy Assessment -- 9.5 Conclusion -- References. 10 Petrography and Major Oxide Geochemistry of Dolerite Dykes from Kunnam Region Villupuram, Tamil Nadu, Southern India -- 10.1 Introduction -- 10.1.1 Background -- 10.1.2 Geological Setting -- 10.1.3 Methodology -- 10.2 Petrography -- 10.3 Geochemistry -- 10.4 Conclusion -- References -- 11 Analyzing the Driving Factors Causing Urban Sprawl Using Logistic Regression Model in Greater Shillong Planning Area, India -- 11.1 Introduction -- 11.2 Study Areas -- 11.3 Datasets & -- Methodology -- 11.3.1 Spatial Dataset -- 11.3.2 Classification of Satellite Images Through Random Forest (RF) -- 11.3.3 Framework of Model -- 11.3.4 Logistic Regression -- 11.3.5 Identifying the Driving Forces -- 11.3.6 Model Validation -- 11.4 Results -- 11.4.1 LULC Change Analysis -- 11.4.2 Accuracy Assessment -- 11.4.3 Urban Expansion Probability Map -- 11.4.4 Goodness of Fit of the Model -- 11.4.5 Multicollinearity Analysis -- 11.4.6 Model Validation Using the ROC Technique -- 11.5 Discussion -- 11.6 Conclusions -- References -- 12 Slope Stability Analysis of Road Cut Slopes Using Limit Equilibrium Method in Kumaun Lesser Himalayan Belt -- 12.1 Introduction -- 12.2 Methodology -- 12.2.1 Limit Equilibrium Method (LEM) -- 12.2.2 Results and Discussions -- 12.3 Conclusions -- References -- 13 Assessment of Land Use/land Cover Change and Forest Fragmentation in Kohima District, Nagaland: A Mountainous Region of Northeast India -- 13.1 Introduction -- 13.2 Study Area -- 13.3 Materials and Methodology -- 13.3.1 Data Used -- 13.3.2 LULC Classification of Images -- 13.3.3 Assessment of LULC Classification Accuracy -- 13.3.4 Detection of LULC Changes -- 13.3.5 Forest Fragmentation Analysis -- 13.4 Results and Discussion -- 13.4.1 LULC Classification and Accuracy Assessment Results -- 13.4.2 LULC Status and Change Detection -- 13.4.3 Assessment of Forest Fragmentation. 13.5 Conclusion -- References -- 14 Overview of Sustainable Development Goals -- 14.1 Introduction -- 14.2 UN's SDGs -- 14.3 Role of Remote Sensing and GIS in Achieving SDGs -- 14.4 Conclusions -- References -- 15 Effectiveness of Drainage Morphmetric Analysis for Water Resource Management in Changing Climate Scenarios -- 15.1 Introduction -- 15.2 Geographic Setting of Study Area -- 15.3 Data Used and Methodology -- 15.4 Result and Discussion -- 15.4.1 Linear Aspects -- 15.4.2 Areal Aspects -- 15.4.3 Relief Aspects -- 15.5 Conclusion -- References -- 16 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 -- 16.1 Background -- 16.2 Basis of the Study -- 16.3 Study Area -- 16.4 Research Objectives -- 16.5 Data Source and Methodology -- 16.6 Analysis -- 16.7 Observations and Conclusions -- References -- 17 The Role of Entrepreneurship in Promoting Sustainable Development Through the ODOP Programme in Uttar Pradesh -- 17.1 Introduction -- 17.1.1 Background -- 17.2 Literature Review -- 17.2.1 Entrepreneurship Development -- 17.2.2 Sustainable Development -- 17.2.3 One District One Product (ODOP) Programme -- 17.3 Objectives of the Study -- 17.4 Research Methodology -- 17.5 Data Analyses and Interpretation -- 17.5.1 Local Innovation -- 17.5.2 Areas of Training -- 17.5.3 Social Responsibility -- 17.5.4 Economic Growth -- 17.6 Findings of the Study -- 17.7 Conclusion -- References -- 18 Effects of Land Use and Land Cover Change on Physical and Chemical Properties of Soil in Tuirini Watershed, Mizoram, NE India -- 18.1 Introduction -- 18.2 Study Area -- 18.3 Objectives -- 18.4 Methodology -- 18.5 Result and Discussion -- 18.5.1 Soil Physical Properties -- 18.5.2 Soil Chemical Properties. 18.6 Organic Carbon and Organic Matter. |
| Record Nr. | UNINA-9910878051903321 |
|
Rai Praveen Kumar
|
||
| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
|
Kanga Shruti
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||