干旱区生态环境知识资源中心(Arid): Spatiotemporal distribution and prediction of chlorophyll-a in Ulansuhai lake from an arid area of China

Arid

DOI	10.3389/fenvs.2023.1045464
	Spatiotemporal distribution and prediction of chlorophyll-a in Ulansuhai lake from an arid area of China
	Liu, Xuhua; Liu, Huamin; Chen, Han; Liu, Yang; Xu, Zhichao; Cao, Xiaoai; Ma, Linqian; Pan, Baozhu; Wang, Lixin
通讯作者	Wang, LX
来源期刊	FRONTIERS IN ENVIRONMENTAL SCIENCE
EISSN	2296-665X
出版年	2023
卷号	11
英文摘要	Lake Ulansuhai, a typical shallow lake in an arid area that is economically and ecologically important along the Yellow River, is currently eutrophic. Long-term (2010-2020) data on chlorophyll-a, nutrient, and environmental factors were obtained from three Lake Ulansuhai monitoring stations. The temporal and spatial distribution characteristics of Chl-a were analyzed. Additionally, a hybrid evolutionary algorithm was established to simulate and predict Chl-a, and sensitivity analysis revealed the interaction between environmental factors and eutrophication. The results indicated that (1) the seasonal variation of eutrophication showed an obvious trend of spring > summer > autumn > winter, and the concentration of Chl-a in the inlet was significantly higher than that in the outlet; (2) The inlet, center, and outlet of Ulansuhai Lake are satisfactorily affected by HEA in the best suited method. The fitting coefficients (R-2) of the optimal models were 0.58, 0.59, and 0.62 for the three monitoring stations, and the root mean square errors (RMSE) were 3.89, 3.21, and 3.56, respectively; (3) under certain range and threshold conditions, Chl-a increased with the increase of permanganate index, water temperature, dissolved oxygen concentration, and ammonia nitrogen concentration, but decreased with the increase of water depth, Secchi disk depth, pH, and fluoride concentration. The results indicate that the HEA can simulate and predict the dynamics of Chl-a, and identify and quantify the relationships between eutrophication and the threshold data. The research results provide theoretical basis and technical support for the prediction and have great significance for the improvement of water quality and environmental protection in arid and semi-arid inland lakes.
英文关键词	chlorophyll-a hybrid evolutionary algorithm (HEA) ecological threshold predictive modelling differential evolution
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000923378400001
WOS关键词	NEURAL-NETWORK APPROACH ; POPULATION-DYNAMICS ; EUTROPHICATION CONTROL ; WATER ; CYANOBACTERIA ; RESERVOIR ; MODELS ; TIME
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/396529
推荐引用方式 GB/T 7714	Liu, Xuhua,Liu, Huamin,Chen, Han,et al. Spatiotemporal distribution and prediction of chlorophyll-a in Ulansuhai lake from an arid area of China[J],2023,11.
APA	Liu, Xuhua.,Liu, Huamin.,Chen, Han.,Liu, Yang.,Xu, Zhichao.,...&Wang, Lixin.(2023).Spatiotemporal distribution and prediction of chlorophyll-a in Ulansuhai lake from an arid area of China.FRONTIERS IN ENVIRONMENTAL SCIENCE,11.
MLA	Liu, Xuhua,et al."Spatiotemporal distribution and prediction of chlorophyll-a in Ulansuhai lake from an arid area of China".FRONTIERS IN ENVIRONMENTAL SCIENCE 11(2023).