Basics of Computational Geophysics

Basics of Computational Geophysics provides a one-stop, collective resource for practitioners on the different techniques and models in geoscience, their practical applications, and case studies. The reference provides the modeling theory in an easy-to-read format that is verified with onsite models for specific regions and scenarios, including the use of big data and artificial intelligence. This book offers a platform whereby readers will learn theory, practical applications, and the comparison of real-world problems surrounding geomechanics, modeling and optimizations.

Covers various advanced computational techniques for solving different problems in geophysics, including the use of Big Data and artificial intelligenceIncludes case studies that provide examples surrounding practical applicationsProvides an assessment of the capabilities of commercial software

GEOCOMPUTTION AND GEOPHYSICS 1. Synthetic ground motions of the 2005 Kashmir M7.6 earthquake at the bedrock and at surface using stochastic dynamic finite fault modelling with a dynamic corner 2. Global particle swarm optimization technique in the interpretation of residual magnetic anomalies due to simple geo-bodies with idealized structure 3. Emerging Techniques to Simulate Strong Ground Motion 4. Earthquakes: Basics of seismology and seismic computational techniques 5. Significance and limit of electrical resistivity survey for detection sub surface cavity: a case study from, Southern Western Ghats, India 6. A review on Geophysical parameters comparison in Garhwal and Kumaun Himalaya region, India 7. Liquefaction Susceptibility of High Seismic region of Bihar considering Fine Content 8. Evaluating the reliability of various geospatial prediction models in landslide risk zoning 9. Fractals and Complex networks Applied to Earthquakes 10. Liquefaction as a seismic hazard: scales, examples and analysis 11. Landslide Prediction and Field Monitoring for Darjeeling Himalayas: A case study from Kalimpong 12. Improvement of Shear Strength of Cohesive Soils by Additives: A Review 13. Static stress change from 6 February, 2017 (M 5.8) earthquake Northwestern Himalaya, India 14. Remote Sensing for Geology-Geophysics

GEOCOMPUTATION AND GEOSCIENCE 15. Prediction of Petrophysical Parameters using Probabilistic Neural Network Technique 16. Interpretation and Resolution of multiple structures from residual gravity anomaly data and application to mineral exploration 17. On fractal-based estimations of soil subsidence 18. A Neural Network to predict spectral acceleration 19. Body tide prediction 20. Seasonal Characterization of glacier meltwater storage and drainage from Garhwal Himalaya: Time Series Analysis of Hydrometeorological data 21. Trends in Frequency and Intensity of Tropical Cyclones in the Bay of Bengal: 1972-2015 22. Application of machine learning models in hydrology: case study of stream temperature forecasting in the Drava River using coupled wavelet analysis and adaptive neuro-fuzzy inference systems model 23. Issues of Resolution of Data for GIS-based Integrated Watershed Modelling: A Case Study