{"product_id":"basics-of-computational-geophysics-paperback-9780128205136","title":"Basics of Computational Geophysics (Paperback) 9780128205136","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eBasics of Computational Geophysics\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eA comprehensive resource for researchers and professionals seeking a greater understanding of advanced computational techniques in geophysics\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003ePijush Samui (Edited by), Barnali Dixon (Edited by), Dieu Tien Bui (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780128205136, Elsevier Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback, published 30 November 2020\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e432 pages, Approx. 200 illustrations\u003cbr\u003e23.4 x 19 x 2.7 cm, 0.88 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003ci\u003eBasics of Computational Geophysics\u003c\/i\u003e 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.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePart I: COMPUTATION \u0026amp; GEOPHYSICS APPLICATIONS\u003c\/p\u003e \u003cp\u003e1. 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\u003c\/p\u003e\n\u003ci\u003e \u003c\/i\u003e\u003cp\u003eHamid Sana\u003c\/p\u003e \u003cp\u003e2. Global particle swarm optimization technique in the interpretation of residual magnetic anomalies due to simple geo-bodies with idealized structure\u003c\/p\u003e\n\u003ci\u003e \u003c\/i\u003e\u003cp\u003eArkoprovo Biswas and Anand Singh\u003c\/p\u003e \u003cp\u003e3. Emerging Techniques to Simulate Strong Ground Motion\u003c\/p\u003e\n\u003ci\u003e \u003c\/i\u003e\u003cp\u003eSandeep Arora, Parveen Kumar and A. Joshi\u003c\/p\u003e \u003cp\u003e4. Earthquakes: Basics of seismology and seismic computational techniques\u003c\/p\u003e\n\u003ci\u003e \u003c\/i\u003e\u003cp\u003eNaresh Kumar Sr., Devajit Hazarika Sr. and Kalachand Sain\u003c\/p\u003e \u003cp\u003e5. Significance and limit of electrical resistivity survey for detection sub surface cavity: a case study from, Southern Western Ghats, India\u003c\/p\u003e\n\u003ci\u003e \u003c\/i\u003e\u003cp\u003eMayank Joshi, Alka Gond, Prasobh. P. Rajan, B. S. S, Padma Rao B and Vivekanandan Nandakumar\u003c\/p\u003e \u003cp\u003e6. A review on Geophysical parameters comparison in Garhwal and Kumaun Himalaya region, India \u003c\/p\u003e\n\u003ci\u003e \u003c\/i\u003e\u003cp\u003eSandeep Arora and Parveen Kumar\u003c\/p\u003e \u003cp\u003e7. Liquefaction Susceptibility of High Seismic region of Bihar considering Fine Content\u003c\/p\u003e\n\u003ci\u003e \u003c\/i\u003e\u003cp\u003eSunita Kumari and Sufyan Ghani\u003c\/p\u003e \u003cp\u003e8. Evaluating the reliability of various geospatial prediction models in landslide risk zoning\u003c\/p\u003e\n\u003ci\u003e \u003c\/i\u003e\u003cp\u003eChalantika L. Salui\u003c\/p\u003e \u003cp\u003e9. Fractals and Complex networks Applied to Earthquakes\u003c\/p\u003e\n\u003ci\u003e \u003c\/i\u003e\u003cp\u003eDenisse Pasten\u003c\/p\u003e \u003cp\u003e10. Liquefaction as a seismic hazard: scales, examples and analysis\u003c\/p\u003e\n\u003ci\u003e \u003c\/i\u003e\u003cp\u003eHamid Sana\u003c\/p\u003e \u003cp\u003e11. Landslide Prediction and Field Monitoring for Darjeeling Himalayas: A case study from Kalimpong\u003c\/p\u003e\n\u003ci\u003e \u003c\/i\u003e\u003cp\u003eNeelima Satyam\u003c\/p\u003e \u003cp\u003e12. Improvement of Shear Strength of Cohesive Soils by Additives: A Review\u003c\/p\u003e\n\u003ci\u003e \u003c\/i\u003e\u003cp\u003eAmir H. Gandomi and Tamur Salik\u003c\/p\u003e \u003cp\u003e13. Static stress change from 6 February, 2017 (M 5.8) earthquake Northwestern Himalaya, India\u003c\/p\u003e\n\u003ci\u003e \u003c\/i\u003e\u003cp\u003eMahesh prasad Parija, Arkoprovo Biswas and Shubhasmita Biswal\u003c\/p\u003e \u003cp\u003e14. Remote Sensing for Geology-Geophysics\u003c\/p\u003e\n\u003ci\u003e \u003c\/i\u003e\u003cp\u003eSurajit Panda and Krishnendu Banerjee\u003c\/p\u003e \u003cp\u003ePART II: COMPUTATION \u0026amp; GEOSCIENCE APPLICATIONS\u003c\/p\u003e \u003cp\u003e15. Prediction of Petrophysical Parameters using Probabilistic Neural NetworkTechnique\u003c\/p\u003e\n\u003ci\u003e \u003c\/i\u003e\u003cp\u003eNagendra Pratap Singh\u003c\/p\u003e \u003cp\u003e16. Interpretation and Resolution of multiple structures from residual gravity anomaly data and application to mineral exploration\u003c\/p\u003e\n\u003ci\u003e \u003c\/i\u003e\u003cp\u003eArkoprovo Biswas\u003c\/p\u003e \u003cp\u003e17. On fractal based estimations of soil subsidence.\u003c\/p\u003e\n\u003ci\u003e \u003c\/i\u003e\u003cp\u003eTatyana P. Mokritskaya and Anatolii Tushev\u003c\/p\u003e \u003cp\u003e18. A Neural Network to predict spectral acceleration\u003c\/p\u003e\n\u003ci\u003e \u003c\/i\u003e\u003cp\u003eAmir H. Gandomi, Ali R. Kashani, Mohsen Akhani and Charles V. Camp\u003c\/p\u003e \u003cp\u003e19. Body tide prediction\u003c\/p\u003e\n\u003ci\u003e \u003c\/i\u003e\u003cp\u003eSung-Ho Na\u003c\/p\u003e \u003cp\u003e20. Time series analysis of hydrometeorological data for the characterization of meltwater storage in glaciers of Garhwal Himalaya\u003c\/p\u003e\n\u003ci\u003e \u003c\/i\u003e\u003cp\u003eAmit Kumar, Akshaya Verma, Rakesh Bhambri and Kalachand Sain\u003c\/p\u003e \u003cp\u003e21. Trends in Frequency and Intensity of Tropical Cyclones in the Bay of Bengal: 1972-2015\u003c\/p\u003e\n\u003ci\u003e \u003c\/i\u003e\u003cp\u003eOMVIR SINGH and Pankaj Bhardwaj\u003c\/p\u003e \u003cp\u003e22. 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\u003c\/p\u003e\n\u003ci\u003e \u003c\/i\u003e\u003cp\u003eSenlin Zhu, Marijana Hadzima-Nyarko and Ognjen Bonacci\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Geophysics [\u003ca title=\"See our other books on Geophysics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Geophysics%20%5BPHVG%5D%22\"\u003ePHVG\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Elsevier","offers":[{"title":"Default Title","offer_id":46648704467224,"sku":"9780128205136","price":124.29,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780128205136.jpg?v=1694093449","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/basics-of-computational-geophysics-paperback-9780128205136","provider":"Freshly Printed Books","version":"1.0","type":"link"}