Hysteresis effects of meteorological variation-induced algal blooms: A case study based on satellite-observed data from Dianchi Lake, China (1988-2020)

Quan Wang; Liu Sun; Yi Zhu; Shuaibing Wang; Chunyu Duan; Chaojie Yang; Yumeng Zhang; Dejiang Liu; Lin Zhao; Jinli Tang

doi:10.1016/j.scitotenv.2021.152558

Hysteresis effects of meteorological variation-induced algal blooms: A case study based on satellite-observed data from Dianchi Lake, China (1988-2020)

Sci Total Environ. 2022 Mar 15:812:152558. doi: 10.1016/j.scitotenv.2021.152558. Epub 2021 Dec 21.

Authors

Quan Wang¹, Liu Sun², Yi Zhu³, Shuaibing Wang³, Chunyu Duan³, Chaojie Yang³, Yumeng Zhang⁴, Dejiang Liu⁵, Lin Zhao⁵, Jinli Tang⁵

Affiliations

¹ College of Chemistry, Biology and Environment, Yuxi Normal University, Yuxi 653100, China. Electronic address: wangquan@yxnu.edu.cn.
² School of Mathematics and Information Technology, Yuxi Normal University, Yuxi 653100, China.
³ College of Chemistry, Biology and Environment, Yuxi Normal University, Yuxi 653100, China.
⁴ College of Chemistry, Biology and Environment, Yuxi Normal University, Yuxi 653100, China; Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou 510006, China.
⁵ College of Geography and Land Engineering, Yuxi Normal University, Yuxi 653100, China.

PMID: 34952086
DOI: 10.1016/j.scitotenv.2021.152558

Abstract

As one of three top-priority eutrophic lakes in China, Dianchi Lake has received national attention due to its severe eutrophication in recent decades. Meteorological factors are the main factors driving the formation and persistence of algae blooms. In addition, meteorological variation-induced algal blooms usually have a hysteresis effect. However, there have been few quantitative studies on this hysteresis effect. In the present study, Landsat images were used to extract the dynamic characteristics of changes in algal blooms in Dianchi Lake from 1988 to 2020. The hysteresis effect of meteorological factors driving algal blooms was studied by employing the modified lag-correlation method. The results showed that the algal blooms in Dianchi Lake were most severe between 1998 and 2008. During the periods of algal blooms, the values of air temperature (AT) and precipitation (PP) were significantly higher, while those wind velocity (WV) and sunshine duration (SSD) were obviously lower, than the corresponding annual mean values. AT and PP were significantly positively correlated with algal bloom factors in both the formation and persistence stages of algal blooms, while SSD and WV both promoted their regression, but these effects were less significant in the persistence period than in the formation period. Moreover, rainfall led to a decrease in SSD and WV, indirectly contributing to algal blooms. Furthermore, AT, PP and SSD are the main factors impacting the duration of persistent blooms. The time periods during which each meteorological factor was most influential were as follows: 1) AT - 25-30 days before the maximum bloom. 2) PP - within the first 10 days before the maximum bloom. 3) Both SSD and WV - 15-20 days before the maximum bloom. The results of this study support the prediction of algal blooms in Dianchi Lake.

Keywords: Floating algae coverage index; Floating algae index; Landsat; Meteorological factor; Spearman correlation analysis.

MeSH terms

China
Environmental Monitoring*
Eutrophication
Lakes*
Wind