| Issue |
E3S Web of Conf.
Volume 536, 2024
2024 6th International Conference on Environmental Prevention and Pollution Control Technologies (EPPCT 2024)
|
|
|---|---|---|
| Article Number | 02014 | |
| Number of page(s) | 8 | |
| Section | Integrated Water Resources Management and Pollution Control | |
| DOI | https://doi.org/10.1051/e3sconf/202453602014 | |
| Published online | 10 June 2024 | |
Genetic analysis of algae blooms in landscape water in the west section of Nanchuan River City, Xining City
1 Key Laboratory of Qinghai-Tibet Plateau Surface Processes and Ecological Conservation, Ministry of Education, Qinghai Normal University, Xining 810008, China ;
2 Qinghai Provincial Key Laboratory of Physical Geography and Environmental Processes, College of Geographical Sciences, Qinghai Normal University, Xining 810008, China ;
3 Plateau Soil Information Science Research Team, Plateau Science and Sustainable Development Institute, Xining 810008, China
* Zhao Xia: zhaoxia-qh@163.com
The west section of Nanchuan River City is an important part of the water ecological environment of Xining city, known as the urban meeting room. In order to find out the possible causes of algal blooms in the summer of 2022, water quality detection, aquatic organism identification and sediment analysis were carried out in the main landscape ponds of the west section of Nanchuanhecheng. The results showed that 52 species of phytoplankton were identified, including 4 species of cyanobacteria, 29 species of diatoms, 14 species of green algae, 3 species of cryptophytes and 2 species of gymnophytes. There were 66 species of zooplankton, including 22 protozoa, 29 rotifers, 9 cladicornis and 6 copepods. There were 18 benthic animals, including 4 annelids, 3 molluscs and 11 arthropods. According to the detection results of aquatic organisms, water quality and sediment, the causes of algal blooms were analyzed and corresponding measures were proposed to provide reference for subsequent control work.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.