Research on Eutrophication and Algal Blooms for Environmental Engineering
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Environmental Sciences".
Deadline for manuscript submissions: 20 December 2024 | Viewed by 110
Special Issue Editors
Interests: HABs (harmful algal blooms); cyanotoxins; eutrophication; lake restoration; cyanobacteria
Special Issue Information
Dear Colleagues,
Harmful algal blooms (HABs) are one of the best-known consequences of the eutrophication of natural waters, for example, lakes and rivers, and represent a serious threat to water quality, human health, economic development, ecological balance, landscape aesthetics and social stability. Due to rapid population growth and economic development, various human activities in industry, agriculture and the transport sector have deteriorated and globally intensified freshwater eutrophication. In addition to the external load of pollutants from anthropogenic discharges and global warming, the internal load of pollutants from sediments is expected to further increase the presence of HABs and exert continued pressure on river and lake ecosystems in the coming decades. Therefore, it is urgent to draw the attention of researchers around the world to efficient methods for HAB detection (e.g., remote sensing detection) and restoration of lakes and rivers in order to eliminate the threat of eutrophication. With this in mind, this issues presents new research and studies on implemented technologies to meet the ever-growing need to restore and protect water bodies from further degradation with the aim to also provide an early warning and monitoring instrument to help territorial managers and professionals to identify the restoration priority areas, the existing and emerging threats for restoration, to define the restoration targets and, finally, to track progress.
Dr. Milena Bruno
Dr. Valentina Messineo
Guest Editors
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Keywords
- HABs (harmful algal blooms)
- cyanotoxins
- eutrophication
- restoration technologies
- remote sensing detection
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