东海春季赤潮前后沉积物-海水界面营养盐交换速率的研究

应用实验室培养法现场研究了3～5月东海硅藻赤潮发生前后10个站位的营养盐在沉积物-海水界面的交换,并应用连续函数拟合法计算了营养盐的界面交换速率.结果显示,NO^-₃-N在赤潮前向沉积物中汇聚［-1.33～－0.68 mmol/(m²·d)］,赤潮后却基本由沉积物向海水中释放［－0.69～0.82 mmol/(m²·d)］.NH⁺₄-N在赤潮前后大都从沉积物中释放［－0.65～1.46 mmol/(m²·d)］,赤潮后释放速率小于赤潮前.NO^-₂-N赤潮前后除Zc17站外都向沉积物中汇聚［－0.09～0.05 mmol/(m²·d)］,赤潮后汇聚速率稍高.SiO^2-₃-Si在所有站位都由沉积物向海水释放［0.85～9.23 mmol/(m²·d)］,其赤潮后速率高于赤潮前.PO^3-₄-P在赤潮前向沉积物中汇聚［－0.06～－0.01 mmol/(m²·d)］,在赤潮后却由沉积物向海水中释放［0～1.26 mmol/(m²·d)］.NO^-₃-N和PO^3-₄-P向东海近海沉积物的汇聚在春季不利于硅藻赤潮的暴发,但其在硅藻赤潮暴发后从沉积物的大量释放为后面紧接的大面积甲藻赤潮的暴发提供了重要的营养物质补充.     

水库热分层期藻类水华与温跃层厌氧成因分析

以西安市李家河水库为研究对象,通过对水体理化因子和浮游植物的连续监测,对热分层期藻类垂向分布与温跃层厌氧成因进行了初步分析.结果表明:①6～9月,李家河水库水体稳定指数为2～10 m~(-1),处于稳定热分层状态,水体溶解氧呈明显的垂向以及季节差异,p H、电导率均与溶解氧呈现相同的分层结构;②李家河水体的富营养状态诱导夏季藻类水华暴发;藻细胞密度垂向差异大,集中悬停于水深0～5 m区域内,最高为2. 95×10~8cells·L~(-1),叶绿素a含量最大为46. 42mg·m~(-3);高密度藻类在温跃层内堆积分解,水深5～24 m内出现较大面积的厌氧区,pH下降、电导率和高锰酸盐指数升高;③高密度藻类分解耗氧是夏季分层期温跃层厌氧形成的主要原因.     

太湖蓝藻暴发治理存在的问题与治理思路

2007年5月29日太湖供水危机以来,由于采取了一系列治理措施,太湖治理取得明显成效,但太湖仍存在入湖污染负荷量大幅度超过水环境容量,芦苇湿地面积大幅度减少,蓝藻水华现象频发等问题。总结太湖治理的经验与教训,提出太湖治理应创新三类技术集成思路:“双减双增”技术,即流域点源、面源及湖内底泥与蓝藻造成的内源的“双减”技术,增加环境容量与水体自净能力的“双增”技术;打捞蓝藻和抑藻杀藻的“双除藻”技术;恢复湿地及生物多样性的“双恢复”技术。同时,通过深入推进和全面建立湖长制,加大应用型科技支撑力度和资金投入等保障治理效果,最终达到蓝藻暴发消除、湿地和生物多样性“双恢复”的目标。建议再次修编《太湖流域水环境综合治理总体方案》,设置控制、消除蓝藻水华暴发相关的研究课题,并将消除蓝藻水华暴发目标列入其中。     

湖泊水质模型SALMO在太湖梅梁湾的应用

改进了湖泊水质模型SALMO,针对太湖梅梁湾,利用2005年实测数据进行模型参数率定,并模拟了2006年水质.结果发现,绿藻、蓝藻、硅藻3种藻类的模拟结果与藻类的实测年变化格局一致,反应了3种藻类的季节性演替,其中,硅藻、绿藻在冬末春初占优势,蓝藻在夏秋季占优势;溶解氧模拟结果与实测数据非常一致,年平均相对误差为14.3%;NO-3-N和PO3-4-P的变化趋势与实测结果基本一致.研究结果表明,SALMO能很好地模拟藻类和营养盐的浓度动态,并在一定程度上揭示水华机制.     

四斗朱水库蓝藻水华爆发成因分析及治理对策研究

作为饮用水源的小型水库四斗朱连续几年在早春即开始爆发严重束丝藻水华（属于蓝藻）。水质分析发现,四斗朱水库的水质参数如总氮（TN）、总磷（TP）、氨氮（NH4^＋-N）以及BOD和COD浓度并不高,但明显高于其上游的石门塘水库,这说明在四斗朱水库的集水区存在污染源。本文分析了在低营养盐浓度情况下四斗朱水库蓝藻水华爆发的原因,认为由于集水区内的农业、生活、水土淋失以及自然沉降等途径导致水库营养浓度升高。并由于未知营养、气温回升以及水库生态系统失衡等因素,导致蓝藻水华暴发。最后,提出了相应的综合治理对策。     

Simultaneous elimination of cyanotoxins and PCBs via mechanical collection of cyanobacterial blooms: An application of “green-bioadsorption concept”

In this study, the distribution, transfer and fate of both polychlorinated biphenyls (PCBs) and cyanotoxins via phytoplankton routes were systematically investigated in two Chinese lakes. Results indicated that PCB adsorption/bioaccumulation dynamics has significantly positive correlations with the biomass of green alga and diatoms. Total lipid content of phytoplankton is the major factor that influences PCB adsorption/bioaccumulation. Cyanobacterial blooms with relatively lower lipid content could also absorb high amount of PCBs due to their high cell density in the water columns, and this process was proposed as major route for the transfer of PCBs in Chinese eutrophic freshwater. According to these findings, a novel route on fates of PCBs via phytoplankton and a green bioadsorption concept were proposed and confirmed. In the practice of mechanical collections of bloom biomass from Lake Taihu, cyanotoxin/cyanobacteria and PCBs were found to be removed simultaneously very efficiently followed this theory.     

嘉陵江出口段水体碱性磷酸酶活性特征

于2011~2016年间,从嘉陵江重庆主城段水域的"磷营养状态-总碱性磷酸酶活性变化-藻华"之间的相关关系入手,通过原位实验总结TAPA与ALGAE及SRP变化规律,结合碱性磷酸酶反应动力学实验确定酶活参数,探讨酶活变化在"藻华"中的生态学意义.结果表明：消落期时,SRP为藻类生长活动主要的磷源."藻华"敏感期SRP含量全年最低,为0.012~0.021mg/L;TAPA全年最高,为10.503~11.587nmol/（L·min）.特征参数V_m和米氏常数K_m值的变化规律验证了"藻华"敏感期各样点碱性磷酸酶对底物的亲合力增高,酶的水解速率有了显著提升;碱性磷酸酶在其他形态的磷转化为SRP的过程中有很大的促进作用,为藻类等微生物生长提供充足的SRP,以利于其在适宜的生境中迅速增殖.     

巢湖水华遥感监测与年度统计分析研究

介绍了巢湖蓝藻水华的日常遥感监测方法与流程,开展了基于日常监测的年度统计分析,为水华环境管理提供了科学依据。首先分析了蓝藻水华与正常水体的光谱差异,利用蓝藻水华在近红外波段的"陡坡效应",基于NDVI方法开展水华日常遥感监测。基于日常监测开展水华年度统计分析,获得水华最早发生日期、最晚发生日期、最大发生面积等,并以水华发生频率、水华起始日期和水华持续时间来分析巢湖一年内高发区、发展趋势及持续时间等时空分布规律。研究表明,2010年巢湖水华的高发区域在巢湖西北部水域,水华持续天数最长的区域是巢湖西北和中部部分区域,水华先在西部沿岸聚集,随时间推移向东部和中部扩散,巢湖西南、中部和东南沿岸是最后新增的水华区域。     

Impact of climate factors on cyanobacterial dynamics and their interactions with water quality in South Taihu Lake,China

Cyanobacterial bloom events in South Taihu Lake cause serious water quality problems and disturb aesthetic view of lake’s environment. In this study, correlations between cyanobacterial blooms and hydro-meteorological factors, including water quality, temperature and precipitation were investigated. Results demonstrated that South Taihu Lake was heavily affected by cyanobacteria and the proliferation of cyanobacteria due to variations in hydro-meteorological factors and water quality conditions. Water quality parameters, including COD, NH₃-N, TN and TP improved significantly since 2008 even at an elevated cyanobacterial bloom situation. Correlation analyses have shown that the development of cyanobacterial density and chlorophyll a concentration was sensitive to a wider temperature variation. The optimum temperature for cyanobacteria was 20°C, while extremely low and high temperatures were found to suppress their growth. Moreover, unusual rainfall patterns were measured during the study period (2003–2009), which showed an adverse impact on cyanobacterial development. Findings from this study suggested that seasonal lake’s water quality monitoring; suitable treatment of cyanobacterial blooms and strict policy implementation can solve the water quality issues in highly eutrophic lakes like Taihu.     

应用荧光定量PCR技术监测玄武湖蓝藻水华

应用荧光定量PCR技术和显微计数法对玄武湖蓝藻水华进行了长期监测,结果表明,荧光定量PCR法可同步监测蓝藻、微囊藻和有毒微囊藻的数量,及时准确反映玄武湖蓝藻水华优势种群微囊藻和有毒微囊藻的动态变化。与显微计数法相比,具有需要的样品量少、时效性强、检出下限较低、自动化程度高等优势,可有效地应用于蓝藻水华的监测。