Geophysical methods are extensively used to assess contaminated sites. However, the validation of geophysical exploration results remains crucial for practical applications of these methods. In this study, Electrical Resistivity Tomography (ERT) and Ground Penetrating Radar (GPR) were used to investigate an abandoned hydrocarbon-contaminated site in Jiangsu, China. Dense survey lines were drawn across the contaminated site to generate continuous monitoring data. In addition, 20 boreholes were strategically drilled at identified anomalous points using geophysical methods. Multiple groundwater samples were analyzed from these boreholes and analyzed hydrocarbon concentrations. The obtained geophysical data were compared with groundwater data to assess the hydrocarbon extent and degree at the study site, as well as to evaluate the reliability of the geophysical survey results. The results demonstrated the effectiveness of continuous resistivity profiles in mapping the contaminant plume, showing consistent contaminant migration directions with the groundwater flow. The contaminant plume patterns obtained by interpolating groundwater sample contaminant concentrations were in line with the resistivity profiles. Groundwater samples from boreholes in high-resistivity zones exhibited higher hydrocarbon concentrations than corresponding regulatory limits. On the other hand, GPR successfully identified enhanced reflective signals associated with the presence of hydrocarbons, necessitating comprehensive interpretations that integrate these findings with resistivity results. The analysis results of unsatisfactory geophysical data in relation to the specific site conditions indicated that soil layer heterogeneity was the main source of anomalous electrical responses. This study validated the accuracy and efficiency of geophysical methods in investigating the migration of hydrocarbon plumes and assessing their contamination levels in groundwater.
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http://dx.doi.org/10.1016/j.envpol.2025.126032 | DOI Listing |
Environ Pollut
March 2025
Sumec Complete Equipment and Engineering Co., Ltd, Nanjing 210018, Jiangsu Province, China.
Geophysical methods are extensively used to assess contaminated sites. However, the validation of geophysical exploration results remains crucial for practical applications of these methods. In this study, Electrical Resistivity Tomography (ERT) and Ground Penetrating Radar (GPR) were used to investigate an abandoned hydrocarbon-contaminated site in Jiangsu, China.
View Article and Find Full Text PDFFront Res Metr Anal
February 2025
National Center for Principled Research and Ethics, University of Illinois Urbana-Champaign, Champaign, IL, United States.
Background: This research describes the development and validation of the CARES Climate Survey, a 22-item measure designed to assess interpersonal dimensions of work-unit climates. Dimensions of work-unit climates are identified through work-unit member perceptions and include civility, interpersonal accountability, conflict resolution, and institutional harassment responsiveness.
Methods: Two samples ( = 1,384; = 868) of academic researchers, including one from the North American membership of the American Geophysical Union (AGU), and one from a large research-intensive university, responded to the CARES and additional measures via an online survey.
F1000Res
March 2025
Center for Management and Geospatial Information Dissemination, Geospatial Information Agency, Cibinong, West Java, 16911, Indonesia.
Background: The danger of earthquakes poses a serious threat to people worldwide. One of the most significant challenges is preparing communities to cope effectively with this disaster. Therefore, understanding earthquake hazards is critically important for preparedness, mitigation, and an effective response to this threat.
View Article and Find Full Text PDFEnviron Res
March 2025
Institute of Geophysical and Geochemical Exploration, Chinese Academy of Geological Sciences, Langfang, Hebei 065000, China; UNESCO International Centre on Global-scale Geochemistry, Langfang, Hebei 065000, China.
This study investigates the spatiotemporal variations and influencing factors of topsoil heavy metals in the Pearl River Basin by utilizing data from the 2000s to the 2010s obtained from China Geochemical Baselines project (CGB1: 2008-2012; CGB2: 2015-2019), alongside geostatistics methods and a modified absolute principal component scores-multiple linear regression (APCS-MLR) model. The results indicate that the median concentrations of As, Cd, Pb, Zn, Cu, Cr, Ni, and Hg exhibited a decreasing trend from the CGB1 to CGB2. Notably, As concentrations decreased the most, with a reduction percentage of 24.
View Article and Find Full Text PDFPeerJ Comput Sci
February 2025
Earthquake Administration of Jiangsu Province, Nanjing, China.
With the rapid advancement of Internet of Things (IoT) technology, the volume of sensor data collection has increased significantly. These data are typically presented in the form of time series, gradually becoming a crucial component of big data. Traditional time series analysis methods struggle with complex patterns and long-term dependencies, whereas deep learning technologies offer new solutions.
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