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Heavy Metal Study

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Mendeley Data2026-04-18 收录
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Research Hypothesis The study hypothesizes that heavy metal concentrations in soils from a granitic terrain in South India are influenced by both geogenic (natural geological factors) and anthropogenic (human-induced) sources. It suggests that metals like arsenic (As), cobalt (Co), chromium (Cr), copper (Cu), and zinc (Zn) exhibit spatial variation, with higher concentrations indicating potential contamination from activities such as pesticide and fertilizer use, alongside natural contributions from granitic geology. Data Overview This dataset includes heavy metal concentrations (As, Ba, Co, Cr, Cu, Mo, Ni, Pb, Rb, Sr, V, Y, Zn, Zr) measured in 44 soil samples collected from South India's granitic terrain. Concentrations, expressed in mg/kg, range from 3.4 to 543.4 mg/kg depending on the element. Measurements were obtained using X-ray fluorescence (XRF) spectroscopy, ensuring precision and reliability. Each sample is uniquely identified, and the dataset is structured with columns representing metal types and their concentrations. Notable Findings Spatial Distribution: Elevated concentrations of As, Pb, and Cr were identified in the study area's northwestern region, suggesting localized contamination due to human activities or natural enrichment from granitic rocks. Contamination Levels: Geo-accumulation Index (Igeo) indicates moderate contamination, particularly for As, Pb, and Cr, influenced by geogenic and anthropogenic factors. Anthropogenic Influence: Principal Component Analysis (PCA) shows fertilizers and pesticides contribute significantly to contamination, especially for Cu and Ni. Health Risk: Non-carcinogenic risks (hazard index, HI) for children and adults were below the safe limit (HI < 1) for most samples, indicating no immediate chronic exposure risk. However, carcinogenic risks for As and Cr ingestion exceeded acceptable thresholds in many samples, especially for children, highlighting potential long-term health concerns. Interpretation and Use of the Data This dataset provides critical insights into the spatial distribution and health risks of heavy metals in soils from granitic terrains. It supports land management planning, health risk assessments, and environmental policies aimed at mitigating contamination. Researchers can use it to explore contamination sources, assess ecosystem impacts, and develop sustainable soil management practices.
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2025-01-07
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