Eutrophication development and its key regulating factors in a water-supply reservoir in North China

Yanghe Reservoir is an important source of drinking water for Qinhuangdao City,North China;however,in recent decades this water source has been eutrophic with recurrent summer cyanobacterial blooms.The trophic grade of the system in summer was mesotrophiceutrophic in 1990 and became hypertrophic in 2011.The nutrient availability is extremely high during the entire year,and the water temperature should be the primary driver of the summer blooms.In May-October of 2010 and 2011,abrupt variations were observed in the Secchi depth(SD) and chlorophyll a(Chl-a),and both the correlated analysis of Chl-a-SD and trophic status indices(TSI) deviation(TSI Chl-a-TSI SD) showed that algal cell density dominated light attenuation.During the algal bloom outbreak,the microcystin concentration was found to vary between 0.35-2.12 μg/L in 2010 and 0.11-1.86 μg/L in 2011.The maximum microcystin content was more than two times the safety limit required for drinking water.Inflow discharges were most concentrated in the summer,with periods of lower residence time and the largest water level fluctuation over the entire year.When a high availability of nutrients promoted a high Chl-a concentration in the whole system,it appeared that the instability caused by the decrease in residence time could not produce effective changes in the cyanobacterial abundance.The results indicated that nutrient enrichment in the aquatic systems of Yanghe Reservoir is the most serious problem and that the status would not been modified effectively by increasing hydrological fluctuations(e.g.,decreasing the residence time).Therefore,decreasing the nutrient concentrations is the only route to improve the water quality of this reservoir.     

五大连池药泉湖水质评价

采用主成分分析法在2010年平水期对五大连池药泉湖6个采样点的8个水质指标进行分析,同时研究药泉湖水体污染的空间分布特征。结果表明:高锰酸盐指数是影响药泉湖水质的首要因子,即有机污染对水体污染的贡献最大;瀑布出水口采样点污染最严重,该出水口为药泉湖观光景区入口,因此要密切关注药泉湖人为点源污染,加大景区环境管制力度。     

水体中微囊藻毒素检测技术研究进展

概述了微囊藻毒素的结构和性质,分析了其对人类健康的危害,综述了近年来国内外水体中微囊藻毒素的检测方法,提出了今后的研究方向。     

淀山湖浮游藻类群落的早期增长

对2004～2009年淀山湖浮游藻类群落生物量[以叶绿素a（Chla）表示]随时间的变化进行了数学模拟.模拟结果表明,Logistic增长模型能够很好地描述淀山湖浮游藻类群落春季和夏季的早期增长.一般说来,淀山湖春季以硅藻和绿藻为主的浮游藻类群落于2月下旬进入指数级增长,到3月上旬浮游藻类密度已经达到始盛点的2倍,浮游...     

近五年广西茅尾海富营养化成因分析及综合防治对策

利用2006至2010年监测结果和统计资料,评价广西茅尾海近5年富营养化状况,分析富营养化变化与钦州市人口、地区生产总值(GDP)、入海污染物结构、河流入海污染物之间的关系,探讨近年来茅尾海富营养化不断加重的原因,并针对性的提出该海域富营养化的综合防治对策。结果表明近5年茅尾海富营养化程度显逐渐加重的趋势,到2010年茅尾海富营养化程度很严重,河口附近富营养化明显。近5年钦州市人口和经济急剧增长引起的入海污染物不断增加是茅尾海富营养化程度加重的主要原因,尤其以磷酸盐的增加对海湾富营养化及赤潮现象的影响最为显著。因而茅尾海富营养化的综合防治应注重对钦江和茅岭江流域的综合整治以及海湾周边入海污染源的管理,加强污水的脱磷处理等。     

封闭湖泊蓝藻水华预警机制及应急控制方法

随着我国城市化进程的不断推进以及经济的快速发展,城市封闭湖泊水体污染日益严重,蓝藻水华现象频频发生。文章分析了该类水体水华的主要影响因素,并提出了预警机制。根据已开展的湖泊污染治理工程效果,针对性地提出了几种有效的封闭湖泊蓝藻水华应急控制方法。     

三峡水库退水期间大宁河“水华”监测探讨

三峡水库2011年上半年在大宁河支流白水河发生了以绿藻为主的“水华”,用DS5x便携式多参数水质测定仪进行了现场监测。通过分析发现溶解氧、pH、PCY、叶绿素4项指标成正相关的关系,在水柱监测中发现水温、溶解氧、pH、PCY、叶绿素5项指标从水面往下是递减,且5m以下趋于稳定。基于此,建议今后在水华应急监测中可以直接用现场监测指标来判断水华的严重程度。     

渤海富营养化现状、机制及其与赤潮的时空耦合性

通过对历年调查与监测数据的整理,从污染物源强、渤海富营养化状况、赤潮发生的时空分布三个角度,分析了渤海近岸海域富营养化的"压力—状态—响应"耦合作用机制。根据文献及调查资料研究渤海营养要素的来源及通量,指出渤海污染物主要来自于陆源输入,并且以河流携带的营养盐输入为主。在对渤海近岸海域历年营养盐含量及富营养化水平分析的基础上,结合赤潮发生的时空变化特征,就富营养化对渤海赤潮的诱导作用与耦合关系进行初步讨论。     

芦苇化感物质EMA对铜绿微囊藻生长及藻毒素产生和释放的影响

研究了芦苇化感物质2-甲基乙酰乙酸乙酯（ethyl-2-methylacetoacetate,EMA）对铜绿微囊藻PCC7806的生长抑制特性以及对微囊藻毒素MC-LR产生和释放的影响.结果表明,EMA在培养1周内对铜绿微囊藻PCC7806具有较强的抑制作用,EC_50,7d值为2.0 mg·L^-1,但EMA的抑制效果随时间的延长而减弱.整个培养期间,EMA对MC-LR的胞外释放无显著影响.培养7　d后,单位藻细胞内MC-LR的含量随EMA浓度的增加而升高,EMA投加浓度为1.5　mg·L^-1时,单位藻细胞MC-LR的含量为25 ng·(10⁶个)^-1,比对照组增加了39%.但单位体积培养液中MC-LR总量（胞内和胞外的总和）随EMA浓度增加先略微升高后显著降低,EMA投加浓度为3 mg·L^-1时,培养液中MC-LR胞内胞外总量为28 μg·L^-1,约为对照组的一半;16　d后,EMA对单个细胞内MC-LR的含量以及MC-LR总量均无显著影响.     

Long-term joint effect of nutrients and temperature increase on algal growth in Lake Taihu, China

To study how global warming and eutrophication affect water ecosystems, a multiplicative growth Monod model, modified by incorporating the Arrhenius equation, was applied to Lake Taihu to quantitatively study the relationships between algal biomass and both nutrients and temperature using long-term data. To qualitatively assess which factor was a limitation of the improved model, temperature variables were calculated using annual mean air temperature (AT), water temperature (WT), and their average temperature (ST), while substrate variables were calculated using annual mean total nitrogen (TN), total phosphorus (TP), and their weighted aggregate (R), respectively. The nine fitted curves showed that TN and AT were two important factors influencing algal growth; AT limited growth as algal photosynthesis is mainly carried out near the water surface; N leakage of phytoplankton and internal phosphorus load from sediment explains why TN was the best predictor of peak biomass using the Monod model. The fitted results suggest that annual mean algal biomass increased by 0.145 times when annual mean AT increased by 1.0℃. Results also showed that the more eutrophic the lake, the greater the effect AT had on algal growth. Subsequently, the long-term joint effect of annual temperature increase and eutrophication to water ecosystems can be quantitatively assessed and predicted.