인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
The mineralogical and chemical characteristics of sediments from Suez Bay (SB) were investigated and correlated with the key water quality parameters. These include polycyclic aromatic hydrocarbons (PAHs), dissolved total phosphorus (DTP), biological oxygen demand (BOD), and total dissolved solids (TDS). Samples were collected from offshore SB sediments, and mass loss at different temperatures (120, 550, and 1000 °C) was analyzed. X-ray fluorescence (XRF) was used to determine the concentrations of 40 elements. X-ray diffraction (XRD) was applied to identify crystalline mineral phases, while Fourier transform infrared (FTIR) spectroscopy was used to characterize functional groups associated with organic matter and carbonate inputs. Major mass losses at 550 and 1000 °C were confirmed to result from the decomposition of organic matter and carbonate minerals, respectively. High enrichment factors and strong inter-element correlations were observed, indicating common sources for specific element groups. A positive correlation was observed between PAHs in sediments and vanadium and nickel, suggesting a petrogenic origin. Significant positive correlations between barium, copper, lead, and zinc likely reflect contamination from ship maintenance activities at the Kazak Hassan West site, south of the SB. In contrast, dissolved total phosphorus (DTP) in the water showed a negative correlation with silica, highlighting their distinct source origins. These findings reveal the distribution patterns of pollutants and their interactions with sediment mineralogy and chemistry, contributing to a clearer understanding of environmental pollution in SB. The results emphasize the influence of proximity to the Suez Canal and human activities on the geochemical behavior of the SB sediments and overlying waters.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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