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This study integrates radon surveys with geophysical and statistical methods to detect hidden faults in Khor Abdullah's marine sediments, analyzing 184 seafloor samples for passive radon (80–789 Bq/m 3 ), exhalation rate (0.0008–0.2791 mBq·kg −1 ·h −1 ), and effective radon (0.24–15.17 Bq/kg) using CR-39 detectors. Trend-surface analysis separated regional backgrounds from residual anomalies, with positive thresholds of +100 Bq/m 3 , +0.05 mBq·kg −1 ·h −1 , and +5 Bq/kg indicating enhanced gas migration through fault zones and salt diapirs. Statistical analyses including correlation (R = 0.86 between concentration and exhalation), hierarchical clustering (background, intermediate, and high-anomaly groups), and factor analysis (two factors explaining 88.9% of variance, with Factor 1 representing permeability-controlled transport and Factor 2 the radon source term) demonstrated that radon mobility is governed by structural pathways rather than source alone. A composite fault map revealed 28 inferred faults clustered in eastern (48.65–48.66°E, 29.65–29.69°N) and central-western sectors (48.30–48.38°E, 29.85–29.86°N), with dominant NW–SE and NE–SW strikes that closely correspond to previous studies related to Basrah Block fault systems. High-anomaly Cluster C stations spatially matched known fault zones and diapirs, validating earlier interpretations while refining continuity and revealing secondary fractures through a polymodal rose diagram. This framework integrates geophysical and radiometric evidence for the first time in this marine environment and links to hydrocarbon studies demonstrating fault-controlled vertical migration essential for accumulation and seepage. The study provides a cost-effective, rapid, non-invasive tool for mapping hidden subsurface structures obscured by thick Quaternary cover, supporting hydrocarbon exploration, neotectonic hazard assessment, and coastal infrastructure planning in the northern Arabian Gulf.
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Al-Khersan et al. (2026) studied this question.
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