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We investigated seasonal variations in cyanobacterial biomass and the forms of its dominant population(M. aeruginosa) and their correlation with environmental factors in the water source area of Chaohu City,China from December 2011 to October 2012. The results show that species belonging to the phylum Cyanophyta occupied the maximum proportion of phytoplankton biomass,and that the dominant population in the water source area of Chaohu City was M. aeruginosa. The variation in cyanobacterial biomass from March to August 2012 was well fitted to the logistic growth model. The growth rate of cyanobacteria was the highest in June,and the biomass of cyanobacteria reached a maximum in August. From February to March 2012,the main form of M.aeruginosa was the single-cell form; M.aeruginosa colonies began to appear from April,and blooms appeared on the water surface in May. The maximum diameter of the colonies was recorded in July,and then gradually decreased from August. The diameter range of M. aeruginosa colonies was 18.37–237.77 μm,and most of the colonies were distributed in the range 20–200 μm,comprising 95.5% of the total number of samples. Temperature and photosynthetically active radiation may be the most important factors that influenced the annual variation in M. aeruginosa biomass and forms. The suitable temperature for cyanobacterial growth was in the range of 15–30°C. In natural water bodies,photosynthetically active radiation had a significant positive influence on the colonial diameter of M.aeruginosa(P0.01). 相似文献
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高密度蓝藻厌氧分解过程与污染物释放实验研究 总被引：18，自引：6，他引：12
采用批次培养实验模拟高密度蓝藻堆积发生的厌氧分解过程,分析蓝藻的分解速率及污染物释放规律.厌氧分解实验中,设置三组蓝藻初始密度分别为2.23×1012、1.19×1013、4.47×1013cells/L,得到叶绿素a的分解速率常数分别为0.074、0.133、0.081 d-1.蓝藻厌氧分解过程中水体呈酸性,电导率呈上升趋势,最高值为949μS/cm.化学需氧量持续升高,而UV254值先升高后降低,说明水体中有机物浓度增大,并逐渐由大分子分解为小分子有机物.蓝藻厌氧分解释放出大量溶解态氮、磷,溶解态有机氮逐渐被降解为无机氮,铵态氮含量占90%以上.研究表明,高密度蓝藻堆积发生厌氧分解可释放大量有机物和溶解态营养盐至水体中,并且随着蓝藻密度升高,污染物释放强度增大.因此水华期间应及时打捞蓝藻,以避免蓝藻大量堆积死亡导致水源区水质下降并影响自来水出水质量. 相似文献
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随着社会经济和城市化进程的快速发展，湖泊水环境污染问题日益突出，加剧了湖泊原有功能的退化和丧失，因此污染治理成为了湖泊功能恢复和可持续发挥的必要条件，但如何实现污染精准溯源又是污染治理的重要前提。为此，本文以太湖流域滆湖为例，采用一种新兴技术——水质荧光指纹法开展湖泊污染溯源。于2021年累计采集滆湖周边70个农业、13个生活、3个企业排口的瞬时出水构建污染源荧光指纹库，连续12个月采集滆湖湖体8个样点水样分析水体荧光组分。通过平行因子分析共解析出4种污染源指纹和滆湖5种水体组分，经荧光相似度(塔克同余系数)分析进一步明确滆湖主要受到种植业面源、生活源和工业源的影响。此外，荧光强度与叶绿素a浓度和藻密度的强相关性表明藻类繁殖活动也会影响滆湖。从不同污染源对滆湖的时空影响特征来看，种植业面源主要在春、夏季影响西部、中部水域，生活源主要在夏、冬季影响西部、北部水域，工业源主要在特定月份(3 4月、10 12月)影响西部水域，藻类繁殖活动主要在夏季影响湖体。通过荧光组分与水质参数的时空相关性分析得到农业源和总磷、总氮，生活源和氨氮、有机物参数(BOD5、COD... 相似文献
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