4.4 Article

Geophysical investigations at the Istron archaeological site, eastern Crete, Greece using seismic refraction and electrical resistivity tomography

期刊

JOURNAL OF GEOPHYSICS AND ENGINEERING
卷 9, 期 6, 页码 749-760

出版社

IOP PUBLISHING LTD
DOI: 10.1088/1742-2132/9/6/749

关键词

Seismic tomography; raytracing; ERT tomography; archaeological prospection; inverse modeling; Istron; archaeoenvironmental reconstruction

向作者/读者索取更多资源

The subsurface characteristics of the archaeological site of Priniatikos Pyrgos at Istron, Eastern Crete were studied through the combined use of seismic and electrical tomography techniques. Twenty-nine seismic refraction profiles were applied to determine soil thickness and bedrock geometrical characteristics. First arrivals were picked and a 3D algorithm of seismic tomography was used to invert the travel times. To confirm the reliability of the final results a checkboard test was used. Part of the seismic area was overlapped with six electrical resistivity tomography sections. The ERT data were used to validate the resulted tomographic images. The integrated application of these tomographic methods enhanced the knowledge regarding the geological conditions and contributed in the archaeo-environmental reconstruction of Istron area by providing indications regarding the ancient harbour of the nearby settlement.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Archaeology

Practical considerations for shallow submerged archaeological prospection with 3-D electrical resistivity tomography

Nikos Papadopoulos, Dimitrios Oikonomou, Kleanthis Simyrdanis, Loke Meng Heng

Summary: The study investigates the efficiency of dynamic floating and submerged 3-D Electrical Resistivity Tomography (ERT) for mapping archaeological relics buried beneath the sediments in ultra-shallow marine environments. Comparative results reveal the superiority of the DD array in reconstructing the optimum resistivity inversion model.

ARCHAEOLOGICAL PROSPECTION (2022)

Article Multidisciplinary Sciences

Utilization of adaptive neuro-fuzzy interference system and functional network in prediction of total organic carbon content

Osama Siddig, Hany Gamal, Pantelis Soupios, Salaheldin Elkatatny

Summary: This paper presents the application of two AI approaches in predicting total organic carbon content in Devonian Duvernay shale. The results show that the ANFIS method yields the best predictions. The study found that gamma ray has the most significant impact on TOC prediction.

SN APPLIED SCIENCES (2022)

Article Geochemistry & Geophysics

Historic Underground Silver Mine Workings Detection Using 2D Electrical Resistivity Imaging (Durango, Mexico)

Hector R. Hinojosa, Panagiotis Kirmizakis, Pantelis Soupios

Summary: This paper presents the findings of an underground silver mining operation in Gomez Palacio, Durango, Mexico. The study used a 2D Electrical Resistivity Imaging survey coupled with reconnaissance to locate the abandoned mineshaft, map its subsurface extent, and explore the occurrence of silver mineralization zones. The results reveal the presence of mining infrastructure, backfilled mineshafts, and shallow vein-type and manto-type mineralization.

MINERALS (2022)

Article Environmental Sciences

A web-based GIS platform supporting innovative irrigation management techniques at farm-scale for the Mediterranean island of Crete

Nektarios N. Kourgialas, Angelos Hliaoutakis, Athanasios Argyriou, Giasemi Morianou, Apostolos E. Voulgarakis, Eleni Kokinou, Ioannis N. Daliakopoulos, Dimitrios Kalderis, Konstantinos Tzerakis, Georgios Psarras, Nikos Papadopoulos, Thrassyvoulos Manios, Antonios Vafidis, Pantelis Soupios

Summary: The aim of this paper is to create an integrated and free-access web platform for parcel irrigation water management on a large spatial scale. The platform aims to accurately determine the irrigation needs of main crops, design optimal adaptation strategies for the agricultural sector in the context of climate change, and incorporate the dynamic integration of information through a digital platform. This decision-making system considers factors such as real-time meteorological data, agricultural parcel information, crop evapotranspiration calculation algorithms, and satellite remote sensing techniques. The proposed platform has several novel points, including the derivation of parcel-level soil texture data from satellite imagery, comprehensive irrigation management information, and a user-friendly interface.

SCIENCE OF THE TOTAL ENVIRONMENT (2022)

Article Environmental Sciences

Estimating Soil Clay Content Using an Agrogeophysical and Agrogeological Approach: A Case Study in Chania Plain, Greece

George Kritikakis, Eleni Kokinou, Nikolaos Economou, Nikolaos Andronikidis, John Brintakis, Ioannis N. Daliakopoulos, Nektarios Kourgialas, Aikaterini Pavlaki, George Fasarakis, Nikolaos Markakis, Pantelis Soupios, Thrassyvoulos Manios, Antonios Vafidis

Summary: Thorough understanding of soil lithology and its properties is crucial for agriculture, as they directly impact water permeability and soil water content, which are significant factors in crop yield and irrigation system design. Given the impacts of climate change, optimizing irrigation through innovative technologies and rational water resource management become increasingly important. This study proposes an interdisciplinary approach, combining robust techniques from earth and soil sciences with statistics and GIS techniques.
Article Geochemistry & Geophysics

First High-Power CSEM Field Test in Saudi Arabia

Abdul Latif Ashadi, Yardenia Martinez, Panagiotis Kirmizakis, Tilman Hanstein, Xiayu Xu, Abid Khogali, Andri Yadi Paembonan, Ahmed AlShaibani, Assem Al-Karnos, Maxim Smirnov, Kurt Strack, Pantelis Soupios

Summary: This study conducted a high-power CSEM survey in Half Moon Bay, Saudi Arabia, aiming to verify the technology and successfully detect and characterize potential economic brines in the area. By collecting, evaluating, processing, and interpreting various transmitter-receiver configurations, acquisition parameters, and passive and active EM data, the subsurface was characterized. LOTEM and FSEM configurations were proven to provide high-quality data.

MINERALS (2022)

Article Astronomy & Astrophysics

Mineralogical, Elemental, and Spatial Variability of Volcaniclastics in Fluvio-Coastal-Aeolian Sedimentary Systems and Their Insights for Mineral Sorting on Mars

Ignatius Argadestya, Abduljamiu O. Amao, Candice C. Bedford, Pantelis Soupios, Khalid Al-Ramadan

Summary: This study investigates the mineralogical, elemental, and spatial variability in volcaniclastics from the Merapi basalt-andesitic stratovolcano in Java, Indonesia. Statistical analysis helps differentiate between different depositional environments like fluvial, fluvio-coastal-aeolian, and marine influenced deposits.

EARTH AND SPACE SCIENCE (2022)

Article Chemistry, Analytical

Application of Combined Local and Global Optimization Algorithms in Joint Interpretation of Direct Current Resistivity and Seismic Refraction Data: A Case Study of Dammam Dome, Eastern Saudi Arabia

Paul Edigbue, Ismail Demirci, Irfan Akca, Hamdan Hamdan, Panagiotis Kirmizakis, Pantelis Soupios, Markos Tranos, Israa S. Abu-Mahfouz, Emin Candansayar, Sherif Hanafy, Abdullatif Al-Shuhail

Summary: The main geological structures in the Dammam Dome were studied by integrating geophysical measurements and applying new methodological approaches. The results demonstrate the capability of using combined local and global optimization techniques to estimate model parameters and provide high-resolution subsurface images.

SENSORS (2022)

Article Environmental Sciences

Integrated environmental characterization and assessment of an exposed historic manure repository

Panagiotis Kirmizakis, Hector R. Hinojosa-Prieto, Fotios Bilias, Pantelis Soupios

Summary: The historic manure stockpile was sampled and analyzed to determine its nutrient content for potential use as a soil amendment. The results showed that manure can be used as a soil amendment, but specific nutrient requirements vary for different crops and land conditions. There were no negative issues found that would prevent land application of the manure.

SCIENCE OF THE TOTAL ENVIRONMENT (2023)

Article Environmental Sciences

Investigating the Stability of the Hill of the Acropolis of Athens, Greece, Using Fuzzy Logic and Remote Sensing Techniques

Constantinos Loupasakis, Paraskevas Tsangaratos, Theodoros Gatsios, Vasiliki Eleftheriou, Issaak Parcharidis, Panteleimon Soupios

Summary: The objective of this study was to investigate the stability of the Acropolis Hill, Greece, by developing a Rock Instability Model (RIM) based on fuzzy logic and remote sensing techniques. RIM identified locations on the rock formations of the Acropolis Hill that were potentially unstable due to geomorphological factors, weathering, and erosive processes. The study highlighted the significant variables of lithology and slope angle in contributing to the overall stability of the Acropolis Hill, with the outcomes of the RIM model verified by remote sensing data and field observation.

REMOTE SENSING (2023)

Article Geochemistry & Geophysics

Application of Electromagnetic Methods for Reservoir Monitoring with Emphasis on Carbon Capture, Utilization, and Storage

Cesar Barajas-Olalde, Donald C. Adams, Ana Curcio, Sofia Davydycheva, Ryan J. Klapperich, Yardenia Martinez, Andri Y. Paembonan, Wesley D. Peck, Kurt Strack, Pantelis Soupios

Summary: The Controlled-Source ElectroMagnetic (CSEM) method is crucial for obtaining information about reservoir fluids and their spatial distribution. It has a wide range of applications in CO2 storage, enhanced oil recovery (EOR), geothermal exploration, and lithium exploration. By customizing the components of a multi-component system, the CSEM method can be tailored to specific reservoir objectives. Optimizing data acquisition and analysis ensures high-quality data sets for processing and interpretation.

MINERALS (2023)

Article Geosciences, Multidisciplinary

Multi-frequency wavefield modeling of acoustic VTI wave equation using physics informed neural networks

Ali Imran Sandhu, Umair bin Waheed, Chao Song, Oliver Dorn, Pantelis Soupios

Summary: This paper proposes a simple fully-connected PINN model to address long-standing challenges in seismic modeling and inversion, and evaluates its potential in interpolating and extrapolating scattered wavefields at multiple frequencies. The issue of spectral bias is tackled by incorporating the Kronecker neural network architecture with composite activation functions formed using atan, elu, l-sin, and l-cos. Numerical results demonstrate the efficacy of the proposed approach in fast and accurate, anisotropic multi-frequency wavefield modeling.

FRONTIERS IN EARTH SCIENCE (2023)

Article Computer Science, Information Systems

Bayesian Experimental Design for Efficient Sensor Placement in Two-Dimensional Electromagnetic Imaging

Ali Imran Sandhu, Ben Mansour Dia, Oliver Dorn, Pantelis Soupios

Summary: This study assesses the quality of the measured data from a network of sensors by calculating the expected text Kullback-Leibler divergence between the prior and posterior distributions. The Laplace approximation method is used to reduce computational cost and improve the quality of inversion.

IEEE ACCESS (2023)

Article Multidisciplinary Sciences

Testing Different Stochastic Methods to Model Direct Current Resistivity and Seismic Refraction Geophysical Data Using a Combined Local and Global Optimization Algorithm

Paul Edigbue, Irfan Akca, Ismail Demirci, Abdullatif Al-Shuhail, Hamdan Ali Hamdan, Panagiotis Kirmizakis, Emin Candansayar, Sherif Hanafy, Pantelis Soupios

Summary: This study compared the optimization capability of five global optimization techniques in geophysical data processing and interpretation, and found that genetic algorithm (GA) and particle swarm optimization (PSO) can satisfactorily reduce errors in direct current resistivity and seismic refraction data processing.

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2023)

Article Multidisciplinary Sciences

Magnetotelluric Case Study from Ain Al-Harrah Hot Spring, Al-Lith, Saudi Arabia

Abdul Latif Ashadi, Bulent Tezkan, Pritam Yogeshwar, Tilman Hanstein, Panagiotis Kirmizakis, Abid Khogali, Konstantinos Chavanidis, Pantelis Soupios

Summary: Several studies suggest that Saudi Arabia has promising geothermal resources, with the most notable location being the Ain Al-Harrah hot spring near Al-Lith. By investigating the potential of geothermal resources in this area, it was found that there is a conductive anomaly related to a geothermal heat source, high resistive zones associated with hard-rock geological formations, and a medium resistive body possibly indicating a pathway for geothermal fluids.

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2023)

暂无数据