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.

The haloarchaeal diversity of four hypersaline alkaline lakes from the Wadi El-Natrun depression (Northern Egypt) was investigated using culture-independent polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) of 16S rRNA gene phylotypes, which was combined with remote sensing and geographic information system (GIS) data to highlight the distribution pattern of the microbial diversity in water and sediment samples. The majority of archaeal sequences identified in all four lakes belonged to the phyla Euryarchaeota and Crenarchaeota. Sediment samples from Beida Lake and water samples from El-Hamra Lake showed the highest levels of archaeal diversity. Sequence similarities ≥ 95% were found between six of the acquired clones and uncultured Halorhabdus, Euryarchaeota, and archaeon clones. In addition, two clones shared a high level of sequence similarity (97%) with unclassified archaea, while other nine clones exhibited 96% to 99% sequence similarity with uncultured archaeon clones, and only one clone showed 97% identity with an uncultured Crenarchaeota. Likewise, 7 DGGE bands presented a sequence similarity of 90 to 98% to Halogranum sp., Halalkalicoccus tibetensis, Halalkalicoccus jeotgali, uncultured Halorubrum, Halobacteriaceae sp., or uncultured haloarchaeon. In conclusion, while the variety of alkaliphilic haloarchaea in the examined soda lakes was restricted, the possibility of uncovering novel species for biotechnological applications from these extreme habitats remains promising.

Heavy metal pollution is one of the threats that impact on Mangrove ecosystem. This study aims to examine if the heavy metals in the mangrove sediment contamination status along the Red Sea coast, and give an interpretation of the origin of these metals. Twenty-two samples 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) to assess and clarify the spatial origin of heavy metals in sediment at a regional scale. The average concentration is shown to be substantially lower than the referenced value. The heavy metals are naturally origin not anthropogenic origin and, ranging from moderate to significant except the levels of Ag were very high. According to Ag levels, should be exploited economically. Remote sensing and GIS technique successfully contributed to interpreting the pattern of the origin of heavy metals and discharging systems along the red sea coast.

Bardawil Lake is one of the unique wetland’s areas along southern Mediterranean shoreline. The lake plays an important role in the economy of the national and local community. The lake has different natural resources which need to be optimally used like fisheries, high qualified salts and even sands that surround the lagoon. The lake concerns many difficulties the most dynamic one is the sedimentation of the artificial inlets channel. Remote sensing techniques were used as effective tool for mapping and monitoring the coastal lakes to enhance the sustainable management and also to continue optimal utilization of its valuable natural resources. This study aims to detect sedimentation around inlets, which impacts water body circulation. Water current changes affect salinity values, leading to shifts in fisheries types. Through changes in the period 2013–2021 using nine Landsat satellite images and the Modified Normalized Difference Water Index (MNDWI). Obtained results show an increase and decrease in the area of Bardawil lake, from the year 2013 to the year 2021 without any discernible pattern. Furthermore, the lake boundary increases in 2013, 2014, 2018 and 2020 during the dredging operations of two inlets. In contrast, it decreases at 2015, 2016, 2017 and 2021. Sediment accumulation in the man-made inlets, which limits water movement with the Mediterranean Sea, is the lake's biggest problem. Lastly, one of the most important tools for tracking environmental changes in Bardawil Lake is remote sensing technology facilitate the expedited assessment.