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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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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
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||