参考文献(References):
[1] ZHAO C S, YANG S T, LIU J G, et al. Linking fish tolerance to water quality criteria for the assessment of environmental flows: a practical method for streamflow regulation and pollution control[J]. Water Research, 2018, 141: 96.
[2] 卢金锁, 胡亚潘. 深水型水库藻类功能组时空演替及生境变化的影响[J]. 环境科学, 2013, 34(7): 2611.
[3] WEN S L, WANG H W, WU T, et al. Vertical profiles of phosphorus fractions in the sediment in a chain of reservoirs in North China: implications for pollution source, bioavailability, and eutrophication[J]. Science of the Total Environment, 2020, 704: 135318.
[4] XIANG B, ZHAO Y C, WANG X Y, et al. Research on algae blooms forecasting based on the multivariate data driven method: a case study of the Chaohu Lake[J]. IOP Conference Series: Earth and Environmental Science, 2016, 46: 012044.
[5] XIAO X, HE J Y, HUANG H M, et al. A novel single-parameter approach for forecasting algal blooms[J]. Water Research, 2017, 108: 222.
[6] 王长友, 于洋, 孙运坤, 等. 基于 ELCOM-CAEDYM 模型的太湖蓝藻水华早期预测探讨[J]. 中国环境科学, 2013, 33(3): 491.
[7] 邓建明, 秦伯强, 王博雯. 广义可加模型在 R 中的快捷实现及蓝藻水华预测分析中的应用[J]. 生态学杂志, 2015, 34(3): 835.
[8] STUMPF R P, WYNNE T T, BAKER D B, et al. Interannual variability of cyanobacterial blooms in Lake Erie[J]. PLoS One, 2012, 7(8): e42444.
[9] STUMPF R P, JOHNSON L T, WYNNE T T, et al. Forecasting annual cyanobacterial bloom biomass to inform management decisions in Lake Erie[J]. Journal of Great Lakes Research, 2016, 42(6): 1176.
[10] OBENOUR D R, GRONEWORD A D, STOW C A, et al. Using a Bayesian hierarchical model to improve Lake Erie cyanobacteria bloom forecasts [J]. Water Resources Research, 2014, 50: 7847.
[11] PAERL H W, SCOTT J T, MCCARTHY M J, et al. It takes two to tango: when and where dual nutrient (N & P) reductions are needed to protect lakes and downstream ecosystems[J]. Environmental Science & Technology, 2016, 50(20): 10805.
[12] XU H, PAERL H W, QIN B Q, et al. Nitrogen and phosphorus inputs control phytoplankton growth in eutrophic Lake Taihu, China[J]. Limnology and Oceanography, 2010, 55(1): 420.