关键词: Coastal health status Geochemical index Heavy metals pollution Mangrove ecosystem Red Sea

Mesh : Ecosystem Indian Ocean Egypt Remote Sensing Technology Water Pollutants, Chemical / analysis Environmental Monitoring Geologic Sediments / chemistry Metals, Heavy / analysis Risk Assessment

来  源:   DOI:10.1007/s11356-023-31625-y   PDF(Pubmed)

Abstract:
Mangrove areas are considered the most retention zone for heavy metal pollution as it work as an edge that aggregates land and sea sediments. This study aims to examine if the heavy metals\' existence in the mangrove sediment is related to contamination or natural resources. In addition, it gives an interpretation of the origin of these metals along the Egyptian Red Sea coast. Twenty-two samples of mangrove sediments were collected and then, analyzed for metals (Mn, Ni, Cu, Fe, Cd, Ag, and Pb) using inductively coupled plasma mass spectroscopy (ICP-MS). Integration between the in-situ data, contamination indices, and remote sensing and geographical information science (GIS), and multivariate statistical analysis techniques (PCA) were analyzed to assess and clarify the spatial origin of heavy metals in sediment at a regional scale. The average concentration of heavy metals from mangrove sediments were shown to be substantially lower than the referenced value, ranging from moderate to significant except the levels of Ag were very high. The heavy metals concentrations were expected to be naturally origin rather than anthropogenic and that be confirmed by mapping of Red Sea alteration zones spots. These alteration zones are parallel to mangrove sites and rich by several mineralization types including heavy metals that are carried by flooding to the coastline. Remote sensing and GIS techniques successfully contributed to interpreting the pattern of the origin of heavy metals and discharging systems that control the heavy metals concentration along the Red Sea coast.
摘要:
红树林地区被认为是重金属污染最多的区域,因为它是聚集陆地和海洋沉积物的边缘。这项研究旨在检查红树林沉积物中存在的重金属是否与污染或自然资源有关。此外,它解释了埃及红海沿岸这些金属的起源。收集了22个红树林沉积物样本,然后,分析金属(Mn,Ni,Cu,Fe,Cd,Ag,和Pb)使用电感耦合等离子体质谱法(ICP-MS)。现场数据之间的整合,污染指数,遥感和地理信息科学(GIS),分析了多元统计分析技术(PCA),以评估和阐明区域尺度上沉积物中重金属的空间起源。显示红树林沉积物中重金属的平均浓度大大低于参考值,范围从中度到显著,除了Ag的水平非常高。预计重金属浓度是自然来源的,而不是人为的,这一点可以通过绘制红海蚀变带斑点来证实。这些蚀变带与红树林站点平行,并富含多种矿化类型,包括通过洪水带到海岸线的重金属。遥感和GIS技术成功地解释了重金属起源的模式以及控制红海沿岸重金属浓度的排放系统。
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