| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA990001871250403321 |
|
|
Autore |
Colligiani, Arturo |
|
|
Titolo |
14N nuclear quadrupole resonance and T1 relaxation times of some methylbenzonitriles / Arturo Colligiani,Roberto Ambrosetti |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
|
|
|
|
Descrizione fisica |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Locazione |
|
|
|
|
|
|
Collocazione |
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Estr. da: Journal of magnetic resonance, 32,1978 |
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9910699384303321 |
|
|
Autore |
Mittal Anu K |
|
|
Titolo |
Energy and water [[electronic resource] ] : preliminary observations on the links between water and biofuels and electricity production : testimony before the Subcommittee on Energy and Environment, Committee on Science and Technology, House of Representatives / / statement of Anu Mittal |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
[Washington, D.C.] : , : U.S. Govt. Accountability Office, , [2009] |
|
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (10 pages) |
|
|
|
|
|
|
Collana |
|
Testimony ; ; GAO-09-862T |
|
|
|
|
|
|
Soggetti |
|
Biomass energy - United States |
Energy conversion - United States |
Electric power production - United States |
Water-supply - United States |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
|
|
|
|
|
|
|
Note generali |
|
Title from PDF title screen (GAO, viewed Jan. 7, 2010). |
"For release ... July 9, 2009." |
|
|
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references. |
|
|
|
|
|
|
3. |
Record Nr. |
UNINA9910861097003321 |
|
|
Autore |
Panda Gopal Krishna |
|
|
Titolo |
Landslide: Susceptibility, Risk Assessment and Sustainability : Application of Geostatistical and Geospatial Modeling / / edited by Gopal Krishna Panda, Rajib Shaw, Subodh Chandra Pal, Uday Chatterjee, Asish Saha |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2024.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (722 pages) |
|
|
|
|
|
|
Collana |
|
Advances in Natural and Technological Hazards Research, , 2213-6959 ; ; 52 |
|
|
|
|
|
|
|
|
Altri autori (Persone) |
|
ShawRajib |
PalSubodh Chandra |
ChatterjeeUday |
SahaAsish |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
|
|
Soggetti |
|
Natural disasters |
Geographic information systems |
Statistics |
Natural Hazards |
Geographical Information System |
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di contenuto |
|
Chapter 1. Landslide Risk and Vulnerability; Real issues, Thoughts and Perspectives -- Chapter 2. Landslide Susceptibility Mapping by Using Geospatial Technique: Reference from Hofu City, Yamaguchi Prefecture, Japan -- Chapter 3. Landslide hazard risk and vulnerability monitoring – GIS based Approach -- Chapter 4. Landslide Susceptibility Mapping |
|
|
|
|
|
|
|
|
|
|
|
Methods – A Review -- Chapter 5. Mapping of Landslide Susceptibility using state-of-the-art method and Geospatial Techniques in the Rangamati District in the Chattogram Hill Tracts region of Bangladesh -- Chapter 6. Towards Artificially Intelligent Landslide Susceptibility Mapping: A Critical Review and Open Questions -- Chapter 7.Landslide Susceptibility Analysis by Frequency Ratio Model and Analytical Hierarchical Process in Mirik and Kurseong, Darjeeling Himalaya, India -- Chapter 8.Suitability analysis of landslide susceptibility model of Uttarkashi District in Uttarakhand, India: a comparative approach between weighted overlay and multi-criteria decision analysis -- Chapter 9. Determining Land induced factors for landslide susceptibility in Indian cities -- Chapter 10.Moisture-Driven Landslides and Cascade Hazards in the Himalayan Region: A Synthesis on Predictive Assessment -- Chapter 11. Landslide susceptibility map showing the spatial relationship between various landslide factors and landslide using remote sensing and GIS-based Frequency Ratio method in Chamoli district, Uttarakhand, India -- Chapter 12. Landslide susceptibility using weighted regression model: A Geo-spatial approach -- Chapter 13. Assessment of climate change impact on landslides in Darjeeling district of West Bengal: a geospatial, geostatistical and ecosystem service based approach.-Chapter 14. Landslide vulnerability analysis of tourist spots through Shannon Entropy model : A case study on Rudraprayag, Uttarakhand -- Chapter 15. Landslide Hazard Susceptibility Analysis and Modelling in the Vicinity of the Proposed Subansiri Lower HE Project, Arunachal Pradesh.-Chapter 16. Land Use and Land Cover as a Conditioning Factor in Landslide Susceptibility: A Literature Review -- Chapter 17. A Geospatial Review Analysis of Increased Frequency of Large Glacier-Related Landslides in Mountainous Regions -- Chapter 18. Landslide Detection Using DInSAR Technique: A Case Study -- Chapter 19. Landslide Hazard Risk Assessment Using GIS and Analytical Hierarchy Process (AHP) Approach: Evidence from 2017 Rangamati Hill Tracts Landslide Event, Bangladesh -- Chapter 20. Landslide risk assessment, awareness, and risk mitigation: case studies and major insights -- Chapter 21. Community-based Landslide Disaster Mitigation on The Northern Slope of “Telaga Lele” Hill, Banjarnegara Regency, Indonesia -- Chapter 22. Evaluation of Double Fusion Satellite Rainfall Dataset in Establish Rainfall Thresholds for Landslide Occurrences over Badung regency - Bali -- Chapter 23. Landslide Susceptibility and Risk Assessment in Hilly Regions of Bangladesh: A Geostatistical and Geospatial Modeling Approach for Sustainability -- Chapter 24. Landslide Hazard and Risk Management Framework for Alaknanda Basin in the Indian Himalayan Region. |
|
|
|
|
|
|
Sommario/riassunto |
|
The book illustrates a geospatial and geostatistical approach to data analysis, modeling, risk assessment, and visualization, as well as landslide hazard management in the hilly region. This book investigates cutting-edge methodologies based on open source software and R statistical programming and modeling in current decision-making procedures, with a particular emphasis on recent advances in data mining techniques and robust modeling in torrential rainfall and earthquake induced landslide hazard. |
|
|
|
|
|
|
|
| |