Moho Beneath the Makran Zone, Iran from Satellite Gravity based on a Hybrid Metaheuristic

Moho Beneath the Makran Zone, Iran from Satellite Gravity based on a Hybrid Metaheuristic | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 27 June 2025 V1 Latest version Share on Moho Beneath the Makran Zone, Iran from Satellite Gravity based on a Hybrid Metaheuristic Authors : Sanam Hosseinzadeh 0000-0002-3486-4689 [email protected] , Gökhan Göktürkler , Seçil Turan-Karaoğlan , and Somayeh Abdollahi Authors Info & Affiliations https://doi.org/10.22541/au.175105949.94966943/v1 275 views 117 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract The Makran Subduction Zone (MSZ) has sparse seismic activity, limited accessibility, and insufficient seismic coverage, making traditional seismic methods less effective for estimating Moho depth. As a result, alternative approaches like gravity inversion are essential for Moho modeling in this region. This study utilizes gravity anomalies to model the Moho depth, employing a hybrid inversion method that combines Differential Evolution (DE) and Particle Swarm Optimization (PSO). This approach is suitable for solving high-dimensional and complex gravity inverse problems, ensuring both accuracy and computational efficiency. In the forward modeling, Bouguer gravity anomalies are attributed to an anomalous mass with a constant density between a flat reference Moho and the undulating Moho surface. Rectangular prisms in a Cartesian framework are employed to compute the gravitational field of this mass. Validation on synthetic data shows that the method effectively recovers smoothly changing Moho topographies. Application of the algorithm to the Makran region, using satellite-derived Bouguer anomalies, reveals the Moho depths range from 19-30 km beneath the Oman Sea, 30-40 km in the Makran fore-arc, and 40-45 km over the Taftan-Bazman volcanic arc. Supplementary Material File (hosseinzadeh_etal_2025_06_04_authorea.pdf) Download 1.44 MB Information & Authors Information Version history V1 Version 1 27 June 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords differential evolution gravity inversion iran makran moho depth particle swarm optimization Authors Affiliations Sanam Hosseinzadeh 0000-0002-3486-4689 [email protected] The Graduate School of Natural and Applied Sciences, Dokuz Eylül University View all articles by this author Gökhan Göktürkler Department of Geophysical Engineering, Faculty of Engineering, Dokuz Eylül University View all articles by this author Seçil Turan-Karaoğlan Department of Geophysical Engineering, Faculty of Engineering, Dokuz Eylül University View all articles by this author Somayeh Abdollahi Department of Geography, Ghent University View all articles by this author Metrics & Citations Metrics Article Usage 275 views 117 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Sanam Hosseinzadeh, Gökhan Göktürkler, Seçil Turan-Karaoğlan, et al. Moho Beneath the Makran Zone, Iran from Satellite Gravity based on a Hybrid Metaheuristic. Authorea . 27 June 2025. DOI: https://doi.org/10.22541/au.175105949.94966943/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. 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