Basics of Computational Geophysics

<p>Part I: COMPUTATION & GEOPHYSICS APPLICATIONS</p> <p>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</p> <p>Hamid Sana</p> <p>2. Global particle swarm optimization technique in the interpretation of residual magnetic anomalies due to simple geo-bodies with idealized structure</p> <p>Arkoprovo Biswas and Anand Singh</p> <p>3. Emerging Techniques to Simulate Strong Ground Motion</p> <p>Sandeep Arora, Parveen Kumar and A. Joshi</p> <p>4. Earthquakes: Basics of seismology and seismic computational techniques</p> <p>Naresh Kumar Sr., Devajit Hazarika Sr. and Kalachand Sain</p> <p>5. Significance and limit of electrical resistivity survey for detection sub surface cavity: a case study from, Southern Western Ghats, India</p> <p>Mayank Joshi, Alka Gond, Prasobh. P. Rajan, B. S. S, Padma Rao B and Vivekanandan Nandakumar</p> <p>6. A review on Geophysical parameters comparison in Garhwal and Kumaun Himalaya region, India </p> <p>Sandeep Arora and Parveen Kumar</p> <p>7. Liquefaction Susceptibility of High Seismic region of Bihar considering Fine Content</p> <p>Sunita Kumari and Sufyan Ghani</p> <p>8. Evaluating the reliability of various geospatial prediction models in landslide risk zoning</p> <p>Chalantika L. Salui</p> <p>9. Fractals and Complex networks Applied to Earthquakes</p> <p>Denisse Pasten</p> <p>10. Liquefaction as a seismic hazard: scales, examples and analysis</p> <p>Hamid Sana</p> <p>11. Landslide Prediction and Field Monitoring for Darjeeling Himalayas: A case study from Kalimpong</p> <p>Neelima Satyam</p> <p>12. Improvement of Shear Strength of Cohesive Soils by Additives: A Review</p> <p>Amir H. Gandomi and Tamur Salik</p> <p>13. Static stress change from 6 February, 2017 (M 5.8) earthquake Northwestern Himalaya, India</p> <p>Mahesh prasad Parija, Arkoprovo Biswas and Shubhasmita Biswal</p> <p>14. Remote Sensing for Geology-Geophysics</p> <p>Surajit Panda and Krishnendu Banerjee</p> <p>PART II: COMPUTATION & GEOSCIENCE APPLICATIONS</p> <p>15. Prediction of Petrophysical Parameters using Probabilistic Neural NetworkTechnique</p> <p>Nagendra Pratap Singh</p> <p>16. Interpretation and Resolution of multiple structures from residual gravity anomaly data and application to mineral exploration</p> <p>Arkoprovo Biswas</p> <p>17. On fractal based estimations of soil subsidence.</p> <p>Tatyana P. Mokritskaya and Anatolii Tushev</p> <p>18. A Neural Network to predict spectral acceleration</p> <p>Amir H. Gandomi, Ali R. Kashani, Mohsen Akhani and Charles V. Camp</p> <p>19. Body tide prediction</p> <p>Sung-Ho Na</p> <p>20. Time series analysis of hydrometeorological data for the characterization of meltwater storage in glaciers of Garhwal Himalaya</p> <p>Amit Kumar, Akshaya Verma, Rakesh Bhambri and Kalachand Sain</p> <p>21. Trends in Frequency and Intensity of Tropical Cyclones in the Bay of Bengal: 1972-2015</p> <p>OMVIR SINGH and Pankaj Bhardwaj</p> <p>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</p> <p>Senlin Zhu, Marijana Hadzima-Nyarko and Ognjen Bonacci</p>