F. Khaldaoui, Y. Djediat, M. Djeddi, Z. Nemer, H. Baker, M. Djeddi
{"title":"Subsurface investigations of ground instability using geophysical methods: A case study from West Algiers","authors":"F. Khaldaoui, Y. Djediat, M. Djeddi, Z. Nemer, H. Baker, M. Djeddi","doi":"10.1190/iceg2019-009.1","DOIUrl":"https://doi.org/10.1190/iceg2019-009.1","url":null,"abstract":"","PeriodicalId":435808,"journal":{"name":"Fifth International Conference on Engineering Geophysics, Al Ain, UAE, 21–24 October 2019","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127321129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Richard D. Miller, Shelby L. Peterie, Julian Ivanov, D. Borisov
{"title":"Applied geophysics: Enlarging the view, exposing assumptions, tightening the mesh","authors":"Richard D. Miller, Shelby L. Peterie, Julian Ivanov, D. Borisov","doi":"10.1190/iceg2019-004.1","DOIUrl":"https://doi.org/10.1190/iceg2019-004.1","url":null,"abstract":"","PeriodicalId":435808,"journal":{"name":"Fifth International Conference on Engineering Geophysics, Al Ain, UAE, 21–24 October 2019","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125907816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Interferometric synthetic aperture RADAR (InSAR) and GIS approaches for the retrieval of surface displacement of fault zones in the UAE: Dibba, Wadi Ham and Wadi Shimal, 1992–2018","authors":"N. Saleous, Abdulla Alobeidli, S. Issa","doi":"10.1190/ICEG2019-076.1","DOIUrl":"https://doi.org/10.1190/ICEG2019-076.1","url":null,"abstract":"","PeriodicalId":435808,"journal":{"name":"Fifth International Conference on Engineering Geophysics, Al Ain, UAE, 21–24 October 2019","volume":"122 35","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141216739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Lumetzberger, H. Rosqvist, C. Sparrenbom, T. Dahlin
We present a local flow model approach for the transport and the decay of a roughly 50 year old perchloroethylene contamination at a former dry cleaning facility at Färgaren in Kristianstad that sits above the largest aquifer in Sweden. The study demonstrates an efficient workflow integrating ERT for conceptualizing and calibrating a three dimensional transient, multi aquifer groundwater transport problem with a sequential first-order decay contamination where only limited sample data is available for calibration, i.e. non-ideal, real world conditions. The 3D hydraulic model geometry is based on information from ERT data. It was possible to map resistivity signatures correlated with boreholes to geological features with a high degree of accuracy. On the Färgaren site itself, a 3D IP inversion model displayed some IP effects that correlated with historical perchloroethylene source terms. The simulations provide new information regarding the vulnerability of a critical groundwater resource, filling in knowledge gaps left by traditional sampling methods. It is concluded that there is potential for long term contamination of the regional sandstone aquifer, and that the plume front may already have reached its upper layers.
{"title":"Predicting the fate of chlorinated aliphatics by hydrogeological modelling and DCIP data—Färgaren case study","authors":"M. Lumetzberger, H. Rosqvist, C. Sparrenbom, T. Dahlin","doi":"10.1190/ICEG2019-017.1","DOIUrl":"https://doi.org/10.1190/ICEG2019-017.1","url":null,"abstract":"We present a local flow model approach for the transport and the decay of a roughly 50 year old perchloroethylene contamination at a former dry cleaning facility at Färgaren in Kristianstad that sits above the largest aquifer in Sweden. The study demonstrates an efficient workflow integrating ERT for conceptualizing and calibrating a three dimensional transient, multi aquifer groundwater transport problem with a sequential first-order decay contamination where only limited sample data is available for calibration, i.e. non-ideal, real world conditions. The 3D hydraulic model geometry is based on information from ERT data. It was possible to map resistivity signatures correlated with boreholes to geological features with a high degree of accuracy. On the Färgaren site itself, a 3D IP inversion model displayed some IP effects that correlated with historical perchloroethylene source terms. The simulations provide new information regarding the vulnerability of a critical groundwater resource, filling in knowledge gaps left by traditional sampling methods. It is concluded that there is potential for long term contamination of the regional sandstone aquifer, and that the plume front may already have reached its upper layers.","PeriodicalId":435808,"journal":{"name":"Fifth International Conference on Engineering Geophysics, Al Ain, UAE, 21–24 October 2019","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123237572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-03DOI: 10.3997/2214-4609.201901666
A. Pfaffhuber, S. Bazin, R. Frauenfelder
Summary The geological risk is a major unknown in large-scale infrastructure projects and frequently leads to cost overruns and major delays. Geophysics and remote sensing methods, when properly combined with traditional intrusive techniques, provide value to the geotechnical industry by reducing this risk. Continuous improvement of accuracy and resolution within both remote sensing and geophysics opens up to new innovative applications in the geotechnical industry. We present three examples. Integrating airborne electromagnetics and geotechnical drillings by virtue of machine learning provides dynamic, high-resolution depth of cover / bedrock topography 3D models. Various high-resolution ground geophysics methods identify buried objects that pose a risk to construction works. Finally, satellite-based radar interferometry with some mm / year accuracy provides project owners with settlement monitoring before, during and after construction works, supporting point measurements with traditional methods. Satellite-based, airborne, and ground-based methods have their individual strength and weaknesses. The challenges that projects encounter vary with different phases, thus the key to success is using the right method at the right time.
{"title":"Near-surface methods in the geotechnical industry: Challenges, opportunities and limitations","authors":"A. Pfaffhuber, S. Bazin, R. Frauenfelder","doi":"10.3997/2214-4609.201901666","DOIUrl":"https://doi.org/10.3997/2214-4609.201901666","url":null,"abstract":"Summary The geological risk is a major unknown in large-scale infrastructure projects and frequently leads to cost overruns and major delays. Geophysics and remote sensing methods, when properly combined with traditional intrusive techniques, provide value to the geotechnical industry by reducing this risk. Continuous improvement of accuracy and resolution within both remote sensing and geophysics opens up to new innovative applications in the geotechnical industry. We present three examples. Integrating airborne electromagnetics and geotechnical drillings by virtue of machine learning provides dynamic, high-resolution depth of cover / bedrock topography 3D models. Various high-resolution ground geophysics methods identify buried objects that pose a risk to construction works. Finally, satellite-based radar interferometry with some mm / year accuracy provides project owners with settlement monitoring before, during and after construction works, supporting point measurements with traditional methods. Satellite-based, airborne, and ground-based methods have their individual strength and weaknesses. The challenges that projects encounter vary with different phases, thus the key to success is using the right method at the right time.","PeriodicalId":435808,"journal":{"name":"Fifth International Conference on Engineering Geophysics, Al Ain, UAE, 21–24 October 2019","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132068303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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