Active Tectonics of Kumaun and Garhwal Himalaya / / by R. Jayangondaperumal, V. C. Thakur, V. Joevivek, Priyanka Singh Rao, Anil Kumar Gupta |
Autore | Jayangondaperumal R |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (163 pages) |
Disciplina | 555.496 |
Collana | Springer Natural Hazards |
Soggetto topico |
Natural disasters
Structural geology Geotechnical engineering Natural Hazards Structural Geology Geotechnical Engineering & Applied Earth Sciences |
ISBN | 981-10-8243-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1. Introduction -- Chapter 2. Mapping of Active Faults -- Chapter 3. Active Faults in Kumaun and Garhwal Himalaya -- Chapter 4. Concluding Comments and Structure of Online Interactive Active Fault Database. |
Record Nr. | UNINA-9910299377503321 |
Jayangondaperumal R | ||
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Hydro-meteorological extremes and disasters / / Manish Kumar Goyal, Anil Kumar Gupta and Akhilesh Gupta, editors |
Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (333 pages) |
Disciplina | 551.6 |
Collana | Disaster resilience and green growth |
Soggetto topico |
Climatic changes
Emergency management Natural disasters |
ISBN | 981-19-0725-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Foreword -- Acknowledgments -- Introduction -- Contents -- About the Editors -- Part I: Overview and Strategies -- 1: Hydro-meteorological Extremes and Disasters: Integrated Risk, Remediation and Sustainability -- 1.1 Introduction -- 1.2 Integrated Disaster Management: Concept and Scope -- 1.3 Disaster Management Models -- 1.3.1 Integration in DRR -- 1.3.1.1 Challenges of Increasing Disasters -- 1.3.1.2 Framework of Integrated Disaster Management Strategies -- 1.4 Initiative Taken for Integrated Disaster Management in India and Globally -- 1.5 Suggestions for Integrated Disaster Management Strategies -- 1.5.1 Proposed Approach of Integration for City Resilience -- References -- 2: Public Policy in Environment and Sustainability Strategies: Global & -- National Scenario -- 2.1 Introduction -- 2.2 Policy Implementation -- 2.3 History of the International Environment Policy -- 2.4 Policy Initiatives by The Government of India -- 2.4.1 Indian Policies Towards Environmental Protection -- 2.5 Indian Policies Towards Disaster Management -- 2.5.1 Hydro-meteorological Domains and Public Policy -- 2.5.2 Climate Finance and India´s Nationally Determined Contribution -- 2.5.3 One Health Approach -- 2.5.4 Corporate Sustainability Policy -- 2.5.5 Policy Instruments in Environment Concerns -- 2.5.6 Present Policy Scenarios in India -- 2.5.7 Way Forward -- References -- 3: Climate Finance at International and National Level: Needs, Drivers and Sources -- 3.1 Introduction -- 3.2 An Overview of Climate Finance at Global Level -- 3.3 Allocation of Climate Finance -- 3.4 Climate Finance in India -- 3.4.1 Importance of Climate Finance in India -- 3.5 Climate Insurance -- 3.6 Way Forward -- References -- 4: Economic Impacts of Hydroclimatic Extremes and Disasters in India -- 4.1 Background -- 4.1.1 Objective of the Present Study.
4.2 Observations at National and Sub-National Levels -- 4.3 Evidence from Vulnerable Households -- 4.3.1 Poor Infrastructure Development -- 4.3.2 Agriculture Is the Main Occupation -- 4.3.3 Disaster-Induced Migration -- 4.3.4 Loss in Cropped Land -- 4.4 Conclusions and Policy Implications -- References -- Part II: Tools and Techniques -- 5: Remote Sensing Applications in Drought Monitoring and Prediction -- 5.1 Introduction -- 5.1.1 Remote Sensing -- 5.1.2 Drought Concept -- 5.2 Drought Monitoring and Prediction -- 5.2.1 Drought Prediction Approaches -- 5.2.1.1 Statistical Approach -- 5.2.1.2 Dynamical Approach -- 5.2.1.3 Hybrid Approach -- 5.3 Remote Sensing in Drought Monitoring and Prediction -- 5.3.1 Precipitation -- 5.3.2 Soil Moisture -- 5.3.3 Evapotranspiration -- 5.3.4 Surface Water -- 5.3.5 Ground Water -- 5.3.6 Vegetation -- 5.4 Challenges and Future Perspectives -- 5.5 Case Study -- 5.5.1 Background -- 5.5.2 Study Area -- 5.5.3 Data Used -- 5.5.4 Methodology -- 5.5.5 Results and Discussion -- 5.6 Summary -- References -- 6: Disaster Early Warning Communication Systems -- 6.1 Introduction -- 6.2 Disaster Management Scenario in India -- 6.3 Early Warnings for Disaster Risk Reduction -- 6.4 Early Warning Communication Procedures and Systems -- 6.5 Technological Tools for EWS -- 6.6 Geo-spatial Information Systems -- 6.7 Satellites for Remote Sensing and Earth Observation and EW Communication -- 6.8 Disruptive Technologies -- 6.9 Early Warning and Forecasting Networks in India -- 6.10 Early Warning Communication -- 6.11 Conclusion -- Further Readings -- 7: Spatial Data Infrastructure for Suitable Land Identification for Government Projects -- 7.1 Introduction -- 7.2 Related Work -- 7.3 Spatial Data Infrastructure (SDI) for Land, Rainfall and Temperature Detailing. 7.3.1 Spatial Data Infrastructure Architecture for Land, Rainfall and Temperature Detailing -- 7.3.2 LULC Detailing by Using Satellite Images (Landsat) -- 7.3.3 LULC Detailing by Using Topo-Sheets from Survey of India (SoI) -- 7.3.4 Rainfall Detailing by Using Indian Meteorological Department Data -- 7.3.5 Temperature Detailing by Using Indian Meteorological Department Data -- 7.3.6 Weighted Sum Overlay for Decision Making or Selection of Piece of Land -- 7.4 Verification, Accuracy and Use of this Research -- 7.4.1 Verification Using Actual Ground Control Points -- 7.4.2 LULC Accuracy Calculation (How Accurate Is Our Classification) -- 7.4.2.1 Overall Accuracy -- 7.4.2.2 Errors of Omission -- 7.4.2.3 Commission Error -- 7.4.2.4 Producer´s Accuracy -- 7.4.2.5 User´s Accuracy -- 7.4.2.6 Kappa Coefficient -- 7.4.3 Significance of This Research to Federal and Regional Government Agencies -- 7.5 Summary -- References -- 8: Role of Stable Isotopes in Climate Studies - A Multi-archive Approach Focusing on Holocene to Anthropocene Records -- 8.1 Introduction -- 8.2 Basics of Isotopes -- 8.2.1 Stable Isotopes of Carbon (δ13C), Oxygen (δ18O), Nitrogen (δ15N) and Hydrogen (δD) -- 8.3 Climate Extremities from Latest Pleistocene to Present -- 8.3.1 Younger Dryas (YD) -- 8.3.2 8.2 ka Cold Event -- 8.3.3 4.2 ka Cold Event -- 8.3.4 Roman Warm Period (RWP) -- 8.3.5 Dark Age Cold Period (DACP) -- 8.3.6 Medieval Climate Anomaly (MCA) -- 8.3.7 Little Ice Age (LIA) -- 8.4 Challenges and outlook -- 8.5 Conclusion -- References -- 9: Integration of Climate Model & -- Hydrology Model-Tools, Bias-Correction, Downscaling, & -- Future Focus -- 9.1 Introduction -- 9.2 Downscaling Techniques -- 9.3 Integration of GCM and Hydrological Model -- 9.4 Bias-Correction in Climate Change Impact Analysis -- 9.5 Uncertainty Analysis in Climate Change Impact Assessment. 9.6 Case Study -- 9.6.1 Study Area -- 9.6.2 Climate and Rainfall -- 9.6.3 Climate Model Data -- 9.6.4 Methodology -- 9.6.5 Multimodel Uncertainty Analysis -- 9.6.6 Bias-Correction -- 9.6.7 Hydrological Modelling -- 9.6.8 Climate Change Impact Analysis -- 9.7 Concluding Remarks and Future Focus -- References -- 10: Analysis of Precipitation Extremes at the Intra-seasonal Scale Using a Regional Climate Model -- 10.1 Introduction -- 10.2 Data and Methodology -- 10.2.1 Model and Data Used -- 10.2.2 Methodology -- 10.3 Results and Discussion -- 10.3.1 Intra-seasonal Variability of the Indian Summer Monsoon -- 10.3.2 Analysis of Low and High Frequency Modes -- 10.4 Conclusion -- References -- 11: Geospatial BigData and Its Applications -- 11.1 Introduction -- 11.2 Geospatial Data as a Big Data -- 11.2.1 Features of BigData -- 11.2.2 Gap Analysis of Geo-spatial Data -- 11.2.3 Categorization of Geospatial Big Data -- 11.2.3.1 Raster Data -- 11.2.3.2 Vector Data -- 11.2.4 Pre-processing -- 11.2.4.1 Pre-processing Architecture -- 11.2.5 Feature Extraction -- 11.2.5.1 Curse of Dimensionality -- 11.2.5.2 Dimensionality Reduction Techniques -- 11.2.5.3 Principal Component Analysis -- 11.2.5.4 Linear Discriminant Analysis -- 11.2.5.5 Independent Component Analysis Algorithm (ICA) -- 11.3 Applications of Geospatial Big Data for Monitoring Hazards -- 11.4 Case Study -- 11.4.1 Flood Change Detection Using Satellite Images -- 11.4.2 Wind Power Prediction -- 11.5 Summary -- References -- Part III: Case Studies -- 12: Quantitative Assessment of Impact of Climate Change on Crop Yield over Sikkim and Central Region of India -- 12.1 Introduction -- 12.2 Study Area and Data Utilized -- 12.2.1 Study Area Description -- 12.2.2 Meteorological Data Utilized -- 12.3 Methodology -- 12.3.1 Crop Yield Simulation Using Aquacrop Model. 12.3.2 Model Performance Evaluation Using RMSE and Coefficient of Determination (r2) -- 12.3.3 Evaluating Uncertainty of GCMs for Future Yield Simulation -- 12.3.4 Adaptation Strategy to Combat Impact of Climate Change on Crop Yield -- 12.4 Results and Discussion -- 12.4.1 Aquacrop Model Efficiency During Calibration and Validation for the Sikkim Region -- 12.4.2 Aquacrop Model Efficiency During Calibration and Validation for the Central Region of India -- 12.4.3 Future Simulated Yield of Crops -- 12.4.3.1 Sikkim Region -- 12.4.3.2 Central Region of India -- Adaptation Strategy by Shifting Sowing Dates -- 12.5 Conclusions -- References -- 13: Understanding of Future Water Challenges in a River Basin Under Ensemble of CORDEX Simulated Projections -- 13.1 Introduction -- 13.2 Study Area -- 13.3 Data Used -- 13.4 Methodology -- 13.5 Results and Discussion -- 13.5.1 Drought Occurrence and Temporal Extent -- 13.5.2 Drought Trend -- 13.5.3 Drought Concurrence -- 13.6 Conclusion -- References -- 14: Drought as a Disaster and Its Characterization over Central India -- 14.1 Introduction -- 14.2 Drought: The Creeping Hazard -- 14.2.1 Drought Types: Meteorological, Agricultural, and Hydrological Drought Types -- 14.2.1.1 Meteorological Drought -- 14.2.1.2 Agricultural Drought -- 14.2.1.3 Hydrological Drought -- 14.2.1.4 Socio-Economic Drought -- 14.2.2 Drought Indices -- 14.2.2.1 Standardized Precipitation Index (SPI) -- 14.2.2.2 Standardized Runoff Index (SRI) -- 14.2.2.3 Standardized Soil Moisture Index (SSI) -- 14.2.2.4 Vegetation Condition Index (VCI) -- 14.2.3 Impact of Droughts -- 14.2.3.1 Environmental Impact -- 14.2.3.2 Economic Impact -- 14.2.3.3 Social Impact -- 14.3 Case Study over Central India -- 14.3.1 Study Area and Data Used -- 14.3.2 Drought Frequency, Mean Areal Extent, and Mean Duration -- 14.3.3 Drought Trend -- 14.3.4 Drought Concurrence. 14.4 Drought Mitigation. |
Record Nr. | UNINA-9910624398503321 |
Singapore : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Nature-based Solutions for Resilient Ecosystems and Societies / / edited by Shalini Dhyani, Anil Kumar Gupta, Madhav Karki |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (XXXII, 455 p. 110 illus., 100 illus. in color.) |
Disciplina | 338.927 |
Collana | Disaster Resilience and Green Growth |
Soggetto topico |
Environmental management
Sustainable development Climatic changes Natural resources Environmental Management Sustainable Development Climate Change Natural Resources |
ISBN | 981-15-4712-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. Opportunities and advances to mainstream Nature-based Solutions in disaster risk management and climate strategy -- Part 1. Decision making tools for mainstreaming NbS -- 2. Scaling up spring revival in the Himalaya: Graduating from spring-centric to aquifer-centric nature-based solutions -- 3. Ecosystem Based Integrated and Participatory Watershed Management -- 4. Nature-based solution for balancing the food, energy and environment trilemma: Lessons from Indonesia -- 5. Wetlands as buffers for water-mediated disaster risks: Policy and Programming Opportunities in India -- 6. Landscape Character Assessment: A method to include community perspectives and ecosystem services in landuse planning -- 7. Linking NbS with Water management: A case of South Megacities -- Part 2. Evidence and examples of NbS implementation -- 8. Forest landscape restoration as a NbS strategy for achieving Bonn Challenge pledge: Lessons from India’s restoration efforts -- 9. Guns and Roses- Forest Landscape Restoration as a Nature based solution in areas of armed conflict -- 10. Leveraging Conservation Benefits through Ecosystem–based Services Approach and Community Engagement in Wetland and Riparian Ecosystems –the case of conserving Black-Necked Crane and White -Bellied Heron in Bhutan -- 11. Geo-Information tools in implementing Nature based Solutions from High Altitude Wetlands: From mapping to decision making support for Disaster Risk Reduction -- 12. Promoting nature based solution (NbS) through restoration of degraded landscapes in the Indian Himalayan Region -- 13. Temporal Changes in Livelihood and Land Usage patterns: Case study of a Primitive Tribe, Van Raji, from Uttarakhand, India -- Part 3. Advanced Institutional provisions and policies for NbS -- 14. Nature based solutions for restoration of freshwater ecosystems: Indian experiences -- 15. Applicability of Nature based Solution through Green Infrastructure Approach to Enhance Green Cover in Urban Transition Scenario -- 16. Climate Adaptive Agricultural Intervention for Food, Nutritional, Health and Livelihood Security -- 17. Agroforestry as a nature based solution for reducing community dependence on forests to safeguard forests in rainfed areas of India -- 18. Trees, shrubs and herbs for slope stabilization in landslide prone areas of Eastern Himalaya -- Part IV. Insights to Research Innovations in NbS -- 19. Permeable pavements as sustainable nature-based solution for management of urban lake ecosystems -- 20. Habitat Suitability Modelling and Nature-based Solutions: An efficient combination to realise the targets of Bonn Challenge and SDGs in South Asia -- 21. Role of tropical floodplain wetlands in carbon sequestration: a case study from Barak river basin of Assam, Northeast India -- 22. Ecosystem-based adaptation to climate change and disaster risk reduction in Eastern Himalayan forests of Arunachal Pradesh, Northeast India -- 23. Nature Based Solutions Entry Points through Sectoral Policies, Strategic Instruments and Business Continuity -- 24. New Pathways for NbS to realize and achieve SDGs and post 2015 targets: Transformative Approaches in Resilience Building. |
Record Nr. | UNINA-9910411921303321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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River, Sediment and Hydrological Extremes: Causes, Impacts and Management / / edited by Manish Pandey, Anil Kumar Gupta, Giuseppe Oliveto |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (441 pages) |
Disciplina | 551.483 |
Collana | Disaster Resilience and Green Growth |
Soggetto topico |
Human ecology - Study and teaching
Landscape ecology Restoration ecology Environmental Studies Landscape Ecology Restoration Ecology |
ISBN | 981-9948-11-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part 1. Introduction and Overview -- 1. Flood Modelling using MIF method with GIS techniques: a case study of Iril River catchment, Manipur, India -- 2. A case study on estimating the ecosystem service values (ESVS) under anthropogenic influences for Chennai and Hyderabad -- 3. Groundwater vulnerability mapping using modified drastic model: a GIS based case study of Imphal east district, Manipur, India -- 4. Flood hazard mapping using hydraulic models and GIS: a review -- 5. A case study on prediction of heatwave days using machine learning algorithms over Telangana -- 6. Quantifying the reliability of reanalysis precipitation products across India -- 7. Weakly nonlinear waves in non-ideal fluids -- 8. Spatial and temporal variability of soil moisture, its measurement and methods for analysis: a review -- Part 2. Causes and Impacts -- 9. Streamflow estimation using entropy-based flow routing technique in Brahmani river, Odisha -- 10. Infiltration of suspended fine sediments into surface layer of coarse sediment-bedded channel -- 11. River water flow prediction rate based on machine learning algorithms: a case study of Dez river, Iran -- 12. A case study in evaluating spatio-temporal variations in drought and its risk assessment over Telangana using satellite data -- 13. Drought modeling through drought indices in GIS environment: a case study of Thoubal district, Manipur, India -- 14. Copula based probabilistic evaluation of meteorological drought characteristics over India -- 15. Nonstationary flood frequency analysis: review of methods and models -- 16. Multi-day Extreme Precipitation Ranking and Association with Atmospheric Moisture Transport during Indian Summer Monsoon -- Part 3. River Restoration, Hydraulic Structure Stability and Flood Risk Management -- 17. Remote sensing and its application on soil and ecosystem services -- 18. Sustainable land and water management in urban areas: Emerging challenges -- 19. Nature of Bursting Events Over a Rigid Bed with Emergent Vegetation -- 20. Recirculation region control behind a partially submerged cylinder due to wave against current -- 21. Assessment of sedimentation in Kaliasote reservoir, Bhopal using satellite remote sensing techniques -- 22. Development of River Atlas using space and ground based inputs for Brahmaputra and Barak valleys in Assam, India -- 23. Numerical study of flow through Linear Weir -- 24. Artificial Intelligence Based Fully Scalable Realtime Early Flood Warning System -- 25. Sustainability through Integrated Resilience and Risk Management: Rivers and Disasters in Changing Climate. |
Record Nr. | UNINA-9910751388703321 |
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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