Basics of Computational Geophysics

ISBN-13: 9780128205136 / Angielski / Miękka / 2020 / 436 str.

Pijush Samui; Barnali Dixon; Dieu Tien Bui

Spis treści

Part I: COMPUTATION & GEOPHYSICS APPLICATIONS

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

Hamid Sana

2. Global particle swarm optimization technique in the interpretation of residual magnetic anomalies due to simple geo-bodies with idealized structure

Arkoprovo Biswas and Anand Singh

3. Emerging Techniques to Simulate Strong Ground Motion

Sandeep Arora, Parveen Kumar and A. Joshi

4. Earthquakes: Basics of seismology and seismic computational techniques

Naresh Kumar Sr., Devajit Hazarika Sr. and Kalachand Sain

5. Significance and limit of electrical resistivity survey for detection sub surface cavity: a case study from, Southern Western Ghats, India

Mayank Joshi, Alka Gond, Prasobh. P. Rajan, B. S. S, Padma Rao B and Vivekanandan Nandakumar

6. A review on Geophysical parameters comparison in Garhwal and Kumaun Himalaya region, India

Sandeep Arora and Parveen Kumar

7. Liquefaction Susceptibility of High Seismic region of Bihar considering Fine Content

Sunita Kumari and Sufyan Ghani

8. Evaluating the reliability of various geospatial prediction models in landslide risk zoning

Chalantika L. Salui

9. Fractals and Complex networks Applied to Earthquakes

Denisse Pasten

10. Liquefaction as a seismic hazard: scales, examples and analysis

Hamid Sana

11. Landslide Prediction and Field Monitoring for Darjeeling Himalayas: A case study from Kalimpong

Neelima Satyam

12. Improvement of Shear Strength of Cohesive Soils by Additives: A Review

Amir H. Gandomi and Tamur Salik

13. Static stress change from 6 February, 2017 (M 5.8) earthquake Northwestern Himalaya, India

Mahesh prasad Parija, Arkoprovo Biswas and Shubhasmita Biswal

14. Remote Sensing for Geology-Geophysics

Surajit Panda and Krishnendu Banerjee

PART II: COMPUTATION & GEOSCIENCE APPLICATIONS

15. Prediction of Petrophysical Parameters using Probabilistic Neural NetworkTechnique

Nagendra Pratap Singh

16. Interpretation and Resolution of multiple structures from residual gravity anomaly data and application to mineral exploration

Arkoprovo Biswas

17. On fractal based estimations of soil subsidence.

Tatyana P. Mokritskaya and Anatolii Tushev

18. A Neural Network to predict spectral acceleration

Amir H. Gandomi, Ali R. Kashani, Mohsen Akhani and Charles V. Camp

19. Body tide prediction

Sung-Ho Na

20. Time series analysis of hydrometeorological data for the characterization of meltwater storage in glaciers of Garhwal Himalaya

Amit Kumar, Akshaya Verma, Rakesh Bhambri and Kalachand Sain

21. Trends in Frequency and Intensity of Tropical Cyclones in the Bay of Bengal: 1972-2015

OMVIR SINGH and Pankaj Bhardwaj

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

Senlin Zhu, Marijana Hadzima-Nyarko and Ognjen Bonacci