A remote sensing tool for near real-time monitoring of harmful algal blooms and turbidity in reservoirs

Harmful algal blooms (HABs) diminish the utility of reservoirs for drinking water supply, irrigation, recreation, and ecosystem service provision. HABs decrease water quality and are a significant health concern in surface water bodies. Near real-time monitoring of HABs in reservoirs and small water bodies is essential to understand the dynamics of turbidity and HAB formation. This study uses satellite imagery to remotely sense chlorophyll-a concentrations (chl-a), phycocyanin concentrations, and turbidity in two reservoirs, the Grand Lake O′ the Cherokees and Hudson Reservoir, OK, USA, to develop a tool for near real-time monitoring of HABs. Landsat-8 and Sentinel-2 imagery from 2013 to 2017 and from 2015 to 2020 were used to train and test three different models that include multiple regression, support vector regression (SVR), and random forest regression (RFR). Performance was assessed by comparing the three models to estimate chl-a, phycocyanin, and turbidity. The results showed that RFR achieved the best performance, with R² values of 0.75, 0.82, and 0.79 for chl-a, turbidity, and phycocyanin, while multiple regression had R² values of 0.29, 0.51, and 0.46 and SVR had R² values of 0.58, 0.62, and 0.61 on the testing datasets, respectively. This paper examines the potential of the developed open-source satellite remote sensing tool for monitoring reservoirs in Oklahoma to assess spatial and temporal variations in surface water quality.     

Controlling cyanobacterial blooms by managing nutrient ratio and limitation in a large hypereutrophic lake: Lake Taihu, China

Excessive nitrogen (N) and phosphorus (P) loading of aquatic ecosystems is a leading cause of eutrophication and harmful algal blooms worldwide, and reducing nutrient levels in water has been a primary management objective. To provide a rational protection strategy and predict future trends of eutrophication in eutrophic lakes, we need to understand the relationships between nutrient ratios and nutrient limitations. We conducted a set of outdoor bioassays at the shore of Lake Taihu. It showed that N only additions induced phytoplankton growth but adding only P did not. Combined N plus P additions promoted higher phytoplankton biomass than N only additions, which suggested that both N and P were deficient for maximum phytoplankton growth in this lake (TN:TP = 18.9). When nutrients are present at less than 7.75-13.95 mg/L TN and 0.41-0.74 mg/L TP, the deficiency of either N or P or both limits the growth of phytoplankton. N limitation then takes place when the TN:TP ratio is less than 21.5-24.7 (TDN:TDP was 34.2-44.3), and P limitation occurs above this. Therefore, according to this ratio, controlling N when N limitation exists and controlling P when P deficiency is present will prevent algal blooms effectively in the short term. But for the long term, a persistent dual nutrient (N and P) management strategy is necessary.     

巢湖蓝藻的机械清除工艺以及藻水分离实验研究简

对巢湖蓝藻进行机械清除以及藻水分离实验研究，实验采用的浮式围栏引导-机械清除-投加剥离液辅助机械清除工艺处理量大，除藻效率高，筛网过滤-浓缩-卧螺离心机脱水成藻泥的藻水分离工艺较为理想，藻泥含水率仅为89%。2011年5—10月在巢湖运用上述方法清除湖面水华蓝藻，共处理富藻水1.6万m³，得到藻泥970 t，累计清除蓝藻106.7 t（干重）。按照所清除蓝藻的总氮、总磷的平均含量计算，相当于从湖中移除了氮6.25 t，磷2.1 t。表明在富营养湖泊中水华蓝藻大量暴发时，采用上述方法除藻，对控制蓝藻水华污染，有效降低内源氮、磷等污染物负荷具有十分重要的作用。     

富营养化水体中黑水团的吸收及反射特性分析

对黑水团水体光学特性进行研究,是利用遥感技术监测和评估黑水团事件的前提.针对2015年7月在太湖发生的黑水团现象,采集了太湖黑水团区(区域一)、蓝藻水华区(区域二)、清水区(区域三)共36个水样,对这3个区域的水体遥感反射率以及吸收特性进行对比分析.结果表明:1区域一水体的总颗粒物、色素颗粒物和非色素颗粒物吸收系数比区域二、区域三高出1~2倍,在400~500 nm之间,区域一CDOM吸收系数相比另外两个区域的水体高出2倍左右.导致黑水团区域水体具有很低的遥感反射率,被人眼感知时呈现为黑色;2黑水团区域水体M值低于滇池、巢湖和太湖的M值变化范围,说明黑水团中CDOM的腐殖酸含量较高.此外,叶绿素a浓度与CDOM在350 nm处吸收系数之间具有很好的相关性,表明蓝藻的降解可能是黑水团中CDOM的一个主要来源;3在380 nm之后,黑水团区域的水体总吸收以色素颗粒物占主导,但在短波350~380 nm处,CDOM对总吸收的贡献率高于色素颗粒物和非色素颗粒物.     

巢湖蓝藻的机械清除工艺以及藻水分离实验研究

对巢湖蓝藻进行机械清除以及藻水分离实验研究，实验采用的浮式围栏引导一机械清除．投加剥离液辅助机械清除工艺处理量大，除藻效率高，筛网过滤-浓缩-卧螺离心机脱水成藻泥的藻水分离工艺较为理想，藻泥含水率仅为89％。2011年5-10月在巢湖运用上述方法清除湖面水华蓝藻，共处理富藻水1．6万m3，得到藻泥970t，累计清除蓝藻106．7t（干重）。按照所清除蓝藻的总氮、总磷的平均含量计算，相当于从湖中移除了氮6．25t，磷2．1t。表明在富营养湖泊中水华蓝藻大量暴发时，采用上述方法除藻，对控制蓝藻水华污染，有效降低内源氮、磷等污染物负荷具有十分重要的作用。     

Factors Influencing Prymnesium parvum Population Dynamics During Bloom Initiation: Results from In-lake Mesocosm Experiments1

Roelke, Daniel L., Leslie Schwierzke, Bryan W. Brooks, James P. Grover, Reagan M. Errera, Theodore W. Valenti, Jr., and James L. Pinckney, 2010. Factors Influencing Prymnesium parvum Population Dynamics During Bloom Initiation: Results from In-Lake Mesocosm Experiments. Journal of the American Water Resources Association (JAWRA) 46(1):76-91. DOI: 10.1111/j.1752-1688.2009.00392.x Abstract: The alga Prymnesium parvum forms large fish-killing blooms in many Texas lakes. In some of these lakes, however, P. parvum occurs but does not develop blooms. In this study, we investigated factors that may influence bloom initiation by conducting a series of in-lake experiments involving mixing of waters from Lake Whitney, which has a history of P. parvum blooms, with waters from Lake Waco where no blooms have occurred. In all experiments, the addition of Lake Waco waters resulted in a poorer performance of P. parvum. Various experimental treatments and field data show that differences in grazing, pathogens, nutrients, and salts between the two lakes were not likely factors that contributed to this observation. Industrial and agricultural contaminants, allelochemicals and algicidal chemicals were not measured as a part of this research. However, anthropogenic contaminants other than nutrients were not observed at levels exceeding water quality standards in Lake Waco in recent years. On the other hand, nuisance cyanobacteria are common in Lake Waco, where Microcystis sp. and Anabaena sp. were abundant during the initiation of our experiments, both taxa are known to produce chemicals with allelopathic properties. In addition, the emergent field of algal-heterotrophic bacteria interactions suggests that chemicals produced by heterotrophic bacteria should not be overlooked. Further research focusing on the chemical interactions between cyanobacteria and P. parvum, as well as the potential role of algicidal bacteria, in the initiation of P. parvum blooms is necessary, as it may be important to the management of these blooms.     

红枫湖水库水体富营养化及浮游植物群落结构特征

2008-2009年通过对红枫湖水库浮游植物及环境因子进行采样调查,并运用综合营养状态指数对红枫湖水库营养状态进行评价.研究结果显示,红枫湖水库浮游植物全年以蓝藻、绿藻为主的优势种群落,且在2008-2009年经常性局部发生蓝藻水华:冬、春季节主要是水华束丝藻(Aphanizomenon flos-aquae)的蓝藻水华；夏季主要是微囊藻属(Microcystis)蓝藻水华；秋季浮游植物主要是颗粒直链藻(Melosira)和小环藻属(Cyclotella)为主的硅藻类群,未出现水华现象.通过综合营养状态指数计算得红枫湖水库水体水质处于富营养化状态.     

挺水植物化感作用抑制藻类生长的机理与应用

根据国内外挺水植物化感作用抑制藻类的研究,对菖蒲等15科20种挺水植物化感抑制水华鱼腥藻等18种水华藻类的作用予以评述;归纳了挺水植物化感作用在影响藻细胞亚显微结构、酶体系活性、呼吸作用、光合作用、细胞膜和细胞内小分子物质的含量等6方面的抑制藻类生长的机理;对移植栽种植物共培养、从植物中提取化感物质和直接施加化感物质等3种类型抑制藻类的应用方式进行概述;结合当前中国水华频发、抑藻和除藻任务繁重的现状,指出存在的主要问题并提出今后研究和应用化感作用抑制藻类的展望。     

藻类生长的水动力学因素影响与数值仿真

为了定量研究水动力条件对藻类生长影响,选择微囊藻进行了室内扰动实验.通过维持光照、温度、营养盐等生境因子的一致性,调整振荡器转速,研究了不同扰动强度对藻类生长规律的影响;提出了"水动力影响参数a"对藻类生长公式进行了修正,以内江为例建立了二维非稳态藻类生长模型.对不同方案下内江藻类暴发特征进行了预测分析.结果表明,水动力条件对藻类生长影响明显,低流速有利于藻类生长,而在静止与高流速条件下,藻类生长受到抑制;内江引航道节制闸关闭后,流速减缓,藻类易于暴发,可能发生水华的水域面积约2.5 km2,占总面积的36.8%;完全静止状态以及节制闸开启后内江水动力条件改善条件下,藻类暴发程度有所减小,可能发生水华面积分别为0.78 km2和0.18 km2.     

三峡库区典型流域水华暴发评价函数模型研究

藻类在光照充足时将无机磷酸和ADP转化为ATP以储备能量,外部条件改变时,则ATP可逆转换为ADP以释放能量.在此理论框架下根据三峡库区典型流域水华暴发时的现场监测数据研究了绿藻光合磷酸化的活化能ΔE、计算了库区流域中若干水系在不同水文条件下提供的有效能量Δe和综合营养指数TLI(Σ),并以ΔE、Δe和TLI(Σ)为参数构建了预测和判断不同水域环境中水华是否暴发的水华暴发评价函数F,在考虑外部因素和内部因素对水华暴发影响程度的大量计算和分析的基础上,确定了ΔE、Δe和TLI(Σ)的相关权重分别为a₁=0.3,a₂=0.3,a₃=0.4.模型计算和实地验证表明:F比单纯的TLI(Σ)作为水华暴发或者水体富营养化的判据更合理,更有说服力和更具普适性.