Volume 41 Issue 1
Jan.  2022
Turn off MathJax
Article Contents
Lili Xu, Yinyu Liang, Wenjun Xiao, Bingrui Chen. Analysis of the inter-annual variability and southward expansion of red tides in the Zhejiang coastal waters from 1981 to 2018[J]. Acta Oceanologica Sinica, 2022, 41(1): 132-140. doi: 10.1007/s13131-021-1741-2
Citation: Lili Xu, Yinyu Liang, Wenjun Xiao, Bingrui Chen. Analysis of the inter-annual variability and southward expansion of red tides in the Zhejiang coastal waters from 1981 to 2018[J]. Acta Oceanologica Sinica, 2022, 41(1): 132-140. doi: 10.1007/s13131-021-1741-2

Analysis of the inter-annual variability and southward expansion of red tides in the Zhejiang coastal waters from 1981 to 2018

doi: 10.1007/s13131-021-1741-2
Funds:  The National Basic Research Program of China under contract No. 2016YFC1401900; the Open Research Funds of Key Laboratory of Marine Ecological Monitoring and Restoration Technologies under contract No. MATHAB201703.
More Information
  • Corresponding author: E-mail: liangyinyu@ecs.mnr.gov.cn
  • Received Date: 2020-09-23
  • Accepted Date: 2020-10-08
  • Available Online: 2021-07-06
  • Publish Date: 2022-01-10
  • A time series dataset spanning 39 years (1981−2018) on red tide events in Zhejiang coastal waters was used to study the characteristics of inter-annual spatial and temporal variations. A distinct inter-annual pattern characterized by low frequency, explosive growth and fluctuating decline stages was found over the studied time scale. Most red tide events occurred in parallel to the bathymetric contour, and 95.4% were located to the west of the 50 m isobath. Additionally, the high-incidence area of red tides is expanding southward. In this paper, local sea surface temperature (SST), mariculture area and secondary industry growth rate are introduced and identified as the main factors influencing the nutrient and hydrometeorological conditions. A multivariate nonlinear regression equation based on these factors was constructed, and the goodness of fit coefficient was 0.907. The causes of the annual variation and high-frequency area in the southward expansion were quantitatively analyzed based on the proposed regression model. Finally, the results indicated that 68.7% of the annual occurrence variation of red tide was due to the SST and mariculture area, which are the main impact factors; however, secondary industry growth could compensate for the nutrient deficiency caused by the sharp mariculture area reduction and decreased SST. The background nutrient level, which is elevated by coastal economic development, especially secondary industry, is the main determinant of the southward expansion. Although the trend of the southward expansion of high-frequency areas has not changed, the red tide frequency in coastal cities has decreased by half and remained at a stable level after 2010 due to substantial economic restructuring and environmental protection.
  • loading
  • [1]
    Cao Xinzhong. 1986. Prelimary study on the seasonal process of the coastal upwelling off Zhejiang in the east Sea, China. Journal of Fisheries of China (in Chinese), 10(1): 52–68
    [2]
    Chen Yanlong, Yang Jianhong, Zhao Dongzhi, et al. 2013. Quantitative study on effect of seawater temperature on specific growth rate of algal species. Marine Environmental Science (in Chinese), 32(1): 104–110
    [3]
    Cloern J E, Jassby A D, Thompson J K, et al. 2007. A cold phase of the East Pacific triggers new phytoplankton blooms in San Francisco Bay. Proceedings of the National Academy of Sciences of the United States of America, 104(47): 18561–18565. doi: 10.1073/pnas.0706151104
    [4]
    Deng Bangping, Zhang Haofei, He Yanlong, et al. 2017. Analysis on the relationship between the red tide events and El Niño in the East China Sea from 1981 to 2011. Ecological Science (in Chinese), 36(6): 161–164
    [5]
    Feng Jianfeng, Wang Hongli, Li Shengpeng. 2007. Research on prediction of phytoplankton’s density using support vector machines. Marine Environmental Science (in Chinese), 26(5): 438–441
    [6]
    Fu Mingzhu, Wang Zongling, Pu Xinming, et al. 2012. Changes of nutrient concentrations and N: P: Si ratios and their possible impacts on the Huanghai Sea ecosystem. Acta Oceanologica Sinica, 31(4): 1001–112
    [7]
    Guo Hao, Ding Dewen, Lin Feng’ao, et al. 2015. Characteristics and patterns of red tide in china coastal waters during the last 20a. Advances in Marine Science (in Chinese), 33(4): 547–558
    [8]
    Gao Junzhang, Liu Yalin, Lin Yi, et al. 2017. Analysis on characteristics of red tide disaster in Wenzhou coastal waters during the last 10 years. Transactions of Oceanology and Limnology (in Chinese), (4): 86–90
    [9]
    He Chunliang, Yang Hong. 2009. Space-time distribution of red tide events in China and its relationship with the El Niño. Journal of Shanghai Ocean University (in Chinese), 18(2): 206–211
    [10]
    Jing Zhiyou, Qi Yiquan, Hua Zulin. 2008. Numerical study on summer upwelling over northern continental shelf of South China Sea. Journal of Tropical Oceanography (in Chinese), 27(3): 1–8
    [11]
    Li Xueding. 2012. Analysis on characteristics of red tide in Fujian coastal waters during the last 10 years. Environment Science (in Chinese), 33(7): 2210–2216
    [12]
    Lin Jun. 2011. A modeling study of the phytoplankton dynamics off the Changjiang estuary (in Chinese) [dissertation]. Shanghai: East China Normal University
    [13]
    Liu Lusan, Li Zicheng, Zhou Juan, et al. 2011. Temporal and spatial distribution of red tide in Yangtze River Estuary and adjacent waters. Environmental Science (in Chinese), 32(9): 2497–2504
    [14]
    Long Hua, Zhou Yan, Yu Jun, et al. 2008. Analyses on harmful algal blooms in Zhejiang coastal waters from 2001 to 2007. Marine Environmental Science (in Chinese), 27(S1): 1–4
    [15]
    Lou Xiulin. 2010. Remote sensing observation of upwelling current in Zhejiang coastal waters and the relationship between red tide (in Chinese) [dissertation]. Qingdao: Ocean University of China
    [16]
    Mu Di. 2011. The study on the ecological water quality dynamic modeling of Bohai bay (in Chinese) [dissertation]. Tianjin: Tianjin University
    [17]
    Qi Yuzao. 2003. Red Tide Along the Coast of China. Beijing: Science Press, 3–5
    [18]
    Song Nanqi, Wang Nuo, Wu Nuan, et al. 2018. Temporal and spatial distribution of harmful algal blooms in the Bohai Sea during 1952−2016 based on GIS. China Environmental Science (in Chinese), 38(3): 1142–1148
    [19]
    Wang Hongli, Ge Gen, Li Yuelei. 2006. Research on the prediction of red tide based on the Fuzzy Neural Network. Marine Science Bulletin (in Chinese), 25(4): 36–41
    [20]
    Wei Guiqiu, Wang Hua, Cai Weixu, et al. 2012. 10-year retrospective analysis on the harmful algal blooms in the Pearl River Estuary. Marine Science Bulletin (in Chinese), 31(4): 466–474
    [21]
    Wen Shiyong, Zhao Dongzhi, Zhao Ling, et al. 2009. Tolerance response model of N/P ratios for red tide algae. Journal of Dalian Maritime University (in Chinese), 35(1): 118–122
    [22]
    Wooster W S, Zhang C I. 2004. Regime shifts in the North Pacific: early indications of the 1976–1977 event. Progress in Oceanography, 60(2−4): 183–200. doi: 10.1016/j.pocean.2004.02.005
    [23]
    Xu Lili, Gong Maoxun, Xu Tingting, et al. 2013. Relationships between the east Asian monsoon anomalous and the red tide occurrence frequency in the East China Sea mental factors in the Beidaihe waters of the Qinhuangdao. Marine Forecasts (in Chinese), 30(5): 8–14
    [24]
    Yang Hong, He Chunliang. 2009. The red tide events in the China Sea and the relationship with the temperature and El Niño. Transactions of Oceanology and Limnology (in Chinese), 2(2): 1–6
    [25]
    Zhang Qingtian. 2013. Review on the annual variation of red tides in China Sea. Environmental Monitoring in China (in Chinese), 29(5): 98–102
    [26]
    Zhao Dongzhi. 2010. The Occurrence Regularity of Red Tide Disasters in the Typical Waters of China (in Chinese). Beijing: China Ocean Press
    [27]
    Zhao Dongzhi, Zhang Fengshou, Zhao Ling. 2003. Detecting chlorophyll and hazard algal bloom in coastal water with normalized deference of AVHPP. Ocean Technology (in Chinese), 22(3): 30–33
    [28]
    Zhao Dongzhi, Zhang Fengshou, Yang Jianhong, et al. 2005. The optimized spectral bands ratio for the relation of sun-induced chlorophyll fluorescence height with high chlorophyll a concentration of algal bloom waters. Haiyang Xuebao (in Chinese), 27(6): 146–153
    [29]
    Zhong Shanshan, He Jinhai, Liu Xuanfei, et al. 2004. Possible mechanisms of Enso’s decadal variability. Journal of Tropical Oceanography (in Chinese), 23(2): 28–36
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(6)  / Tables(4)

    Article Metrics

    Article views (378) PDF downloads(8) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return