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.     

Three-dimensional eutrophication model and application to Taihu Lake, China

Taihu Lake, the largest freshwater shallow lake in eastern China, has suffered from severe eutrophication over the past two decades. This research developed a three-dimensional eutrophication model to investigate the eutrophication dynamics. The model fully coupled the biological processes and hydrodynamics, and also took into account the effects of sediment release and the external loads from the tributaries. After sensitivity analyses, the key parameters were defined and then calibrated by the field observation data. The calibrated model was applied to study the seasonal primary productions and its regional differences. The comparisons between model results and field data in year 2000 indicated that the model is able to simulate the eutrophication dynamics in Taihu Lake with a reasonable accuracy. From the simulation experiments, it was found that the meteorological forcing have significant influences on the temporal variations of the eutrophication dynamics. The wind-induced circulation and sediment distribution play an important role in the spatial distribution of the algae blooms.     

太湖梅梁湾理化指标分层的空间分布特征

为了解大型浅水湖泊水体理化指标的空间分异特征,在太湖梅梁湾布设62个采样点,垂向分为3层,调查水体中Chla、TN、TDN(溶解性总氮)、TP、TDP(溶解性总磷)的质量浓度及SD(透明度)、DOS(溶解氧饱和度)等水体理化指标,统计分析了夏季太湖水体理化指标空间分布特征及影响因素. 结果表明:①梅梁湾水体理化指标垂向时空变幅不同,垂向相对变幅平均值ρ(TN)为68.0%,ρ(TDN)为40.1%,ρ(TP)为138.0%,ρ(TDP)为35.7%,ρ(Chla)为66.0%,DOS为79.0%,营养盐总量的垂向差异比溶解态大;②平面上,水华堆积区ρ(TN)、ρ(TDN)、ρ(TP)、ρ(TDP)、ρ(Chla)、DOS平均值分别为梅梁湾平均值的4.45、2.45、6.45、4.74、2.08、1.02倍,比垂向差异大;③风场驱动下蓝藻堆积对水体各理化指标空间分布的影响巨大;④ρ(Chla)垂向分层明显,ρ(Chla)的垂向变幅表层0.2m处显著高于下层,可达89.7μg/L. 浅水湖泊的水体理化指标时空变异大,受气象条件、水动力条件等因素的影响,故在监测点位布设及数据分析时,应考虑垂直分层采样、滨岸带采样并详细记录采样条件.      

Phytoplankton community from Lake Taihu, China, has dissimilar responses to inorganic and organic nutrients

To evaluate the response of phytoplankton from Lake Taihu to di erent types of nutrients, the phytoplankton responses were measured after adding inorganic nitrogen (N) and phosphorus (P) or decomposed algal scum (Microcystis spp.) into the lake water. Both types of nutrients promoted an increase in phytoplankton biomass as determined by chlorophyll a and algal wet weight. The addition of decomposed algal scum resulted in a significantly greater phytoplankton response than the addition of inorganic N and P alone. The dissolved inorganic N and P in the inorganic nutrient treatment were found not limit phytoplankton growth. The higher algal biomass obtained in the treatment with decomposed algal scum indicated the importance of other organic nutrients besides N and P such as trace elements, as well as the importance of the form of N since the levels of ammonia nitrogen (NH4 +-N) from the decomposed algal treatment were actually higher than that of the inorganic N and P addition. Microcystis spp. (Cyanobacteria), Scenedesmus spp. (Chlorophyta) and Synechocystis spp. (Cyanobacteria) were the dominant taxa in the control, inorganic N and P treatment, and the decomposed algal scum treatment, respectively. Microcystis never bloomed in response to both types of nutrient additions indicating that the bloom propagation is not solely related to nutrient additions, but may be related to the absence of selective grazing from zooplankton.     

Impacts of algal blooms removal by chitosan-modified soils on zooplankton community in Taihu Lake, China

It is important to assess the e ect on zooplankton when perform the environmental protection or restoration technology, especially removing algal blooms, because algae were the major primary producer in algal lakes. The influence on zooplankton community after half a year of algal blooms removed by chitosan-modified soils in Taihu Lake was assessed and the rationality of carrying out the process semiannually was evaluated in the present study. Morphological composition and genetic diversity of zooplankton community were investigated by microscope checkup and polymerase chain reaction-denatured gradient gel electrophoresis (PCR-DGGE). A total of 44 zooplankton taxa (23 protozoa, 17 rotifers, 3 copepoda and 1 cladocera) were detected by microscope checkup, and a total of 91 bands (28 bands amplified by primers F1427-GC and R1616, 63 bands amplified by primers Fung-GC and NS1) were detected by PCR-DGGE. The results of cluster analysis or detrended correspondence analysis indicated that there was no considerable di erence in morphological composition of zooplankton and DGGE profiles between experimental and control sites, and DGGE profiles could represent the biologic diversity. The study showed that zooplankton community could recover original condition after half year of algal blooms removed by chitosan-modified soils and it was acceptable to apply this process semiannually. In addition, the results revealed that PCR-DGGE could be applied to investigate the impacts of the environmental protection or restoration engineering on zooplankton community diversity.     

太湖地区太阳辐射与水温的变化特征及其对叶绿素a的影响

基于中国科学院太湖湖泊生态系统研究站1993年以来的常规监测资料,利用比较与数理统计相关分析方法对太湖地区的太阳辐射和水温变化特征及其对水体叶绿索a浓度的影响进行分析.结果显示,太湖地区太阳总辐射、光合有效辐射、光合有效辐射占总辐射的比例及水温总体上都呈上升的趋势.其中,光合有效辐射的增长速率大于总辐射的增长速率,年际水温增长率春季秋季>夏季.太阳辐射及水温的年内变化呈夏季大,春秋季次之,冬季最小的特征.此外,太阳辐射和水温与叶绿素a呈显著正相关关系(P<0.01),太阳辐射特别是光合有效辐射和水温的增加为藻类的大量生长和水华暴发提供了良好的物理条件,太湖蓝藻水华初始暴发时间有逐年前移的趋势且水华持续时间逐年增加.     

全球气候变化对太湖蓝藻水华发展演变的影响

对太湖周边4个常规气象观测站的47年观测资料进行分析,以探讨全球气候变化对太湖蓝藻水华演变的影响.结果表明,20世纪80年代之前,太湖流域气象条件的年代际尺度变化趋势不利于蓝藻的生长和水华的形成,而在20世纪80年代以后,尤其是20世纪90年代以后,气温、风速、降水变化都较大,且都有利于蓝藻的生长和水华的形成,这与蓝藻水华的观测事实一致.据此定义了蓝藻水华气象指数,每年太湖蓝藻水华气象指数能够很好地反映蓝藻水华的发展变化情况.进而,分析了反映ENSO循环变化的Ni?o3指数与太湖流域气象条件变化的相关性,结果表明ENSO循环与太湖流域风速、降水在年代际尺度上有着非常好的相关性.据此预测,2000年以后10~20年中,太湖蓝藻水华气象指数将继续在高位振荡,若蓝藻生长所需的营养盐浓度得不到有效的控制和明显的降低,蓝藻水华在气候条件的影响下,仍将可能大面积暴发.     

洱海蓝藻水华研究

本文报道了洱海水华发生时间，优势种群，现存量和分布状况。分析认为，高浓度营养物质的积累，生态功能的退化，生态结构的改变，以及高水温，强光照的物理条件是洱海蓝水华发生的原因。应采取控制磷污染，优先解决水资源，恢复生态系统良笥循环和提高森林覆盖率为主的生态工程等中长期湖内外控制对策。     

我国湖泊富营养化防治与控制策略研究进展

随着全球人口的不断增加,工业化、城市化以及农业现代化的快速推进,湖泊富营养化问题已日益成为全球性的水环境污染问题。近年来,我国经济发展提速,资源利用强度加大,导致湖泊氮、磷营养盐严重富集,某些湖泊生态系统结构遭受破坏,功能紊乱,一些区域的湖泊蓝藻水华频繁爆发,湖泊富营养化呈现迅猛发展的趋势,并对区域经济发展与生产、生活用水保障带来挑战。尽管为了防控湖泊富营养化,我国各级政府投入了大量人力与物力,但在一些湖泊富营养化频繁区,一些防治与控制措施还没有收到理想而满意的效果。文章在综述国内外湖泊富营养化防治与控制策略研究的基础上,阐述了我国在富营养化研究方面存在的主要问题,提出了我国湖泊富营养化分区、分类控制的新思路。     

基于天地协同的巢湖水华分布特征分析

基于MODIS影像监测2016年巢湖蓝藻水华分布,结果表明：水华的频次,持续时间从西北部水域向东南部水域逐渐减弱;西半湖湖心水华开始日期最早（5月19日）,持续时间最长为131d,塘西水华发生频次较多（10次）.进一步将水华遥感监测结果与同步水面实测水质参数数据（藻密度,叶绿素a,总氮,总磷）进行相关性分析,利用Q型聚类分析将水面实测采样点分为东区和西区两部分.西区藻密度,叶绿素a,总氮,总磷和水华面积相关性较强（R²均大于0.6）.     

太湖春季藻类生长的磷营养盐阈值研究

为了探讨太湖春季藻类生长的磷营养盐阈值,采用原位营养盐富集生物模拟实验,研究了太湖梅梁湾浮游植物对不同浓度无机磷(PO43--P)的生长响应.结果表明:外源磷添加能显著的促进浮游植物生长,但存在阈值.当磷浓度低于0.02mg/L时,藻类生长速率和生物量是可控的,当磷浓度高于0.02mg/L时,生长速率和生物量没有变化,因此春季藻类生长的无机磷阈值为0.02mg/L,相当于总磷阈值为0.059mg/L.太湖目前只有部分湖区总磷年平均浓度处于总磷阈值以下,控制流域的磷负荷,降低太湖的浮游植物生物量将是一个长期过程.     

太湖水域PH3的时空变化特征

以太湖为研究对象 ,考察了富营养化浅水湖泊中磷化氢的时空分布特征 .结果表明 ,湖面大气中PH3 由于受风向、天气等因素的综合作用 ,时空分布规律不太明显 .表层湖水和底层湖水由于受到风浪扰动 ,天气变化和船只等的影响 ,不同采样点PH3 的含量变化不大 .同时 ,PH3 浓度沿湖水垂直梯度方向的变化亦较小 .而过滤湖水与原始湖水中PH3 的时空变化在同一采样点位、同一采样时间 ,原始湖水中PH3 的浓度明显高于过滤湖水中PH3 的浓度 .底泥中PH3 含量的变化可能与湖底氧化还原环境和温度有关 ,对于水体污染比较严重的地方底泥PH3 含量较高 .     

Eutrophication and algal blooms in channel type reservoirs: A novel enclosure experiment by changing light intensity

To explore eutrophication and algal bloom mechanisms in channel type reservoirs, a novel enclosure experiment was conducted by changing light intensity (LI) in the Daning River of the Three Gorges Reservoir (TGR). Square enclosures (side 5.0 m) were covered on the surface with shading materials of different thickness, and with their bases open to the river. Changes and characteristics of the main eutrophication factors under the same water quality and hydrodynamic conditions but different LI were evaluated. All experimental water samples were neutral and alkalescent, with high nitrogen and phosphate concentrations, low potassium permanganate index, stable water quality, and different LI. At the same water depth, LI decreased with increasing shade material, while dissolved oxygen and water temperature were both stable. The growth peak of phytoplankton was with light of 345-4390 lux underwater or 558-7450 lux above the water surface, and water temperature of 25.6-26.5℃. Algae were observed in all water samples, accounting for 6 phylum and 57 species, with algal density changing frequently. The results showed that significantly strong or weak light was unfavorable for phytoplankton growth and the function together with suitable temperature and LI and ample sunshine encouraged algal blooms under the same water quality and hydrodynamic conditions. Correlation analysis indicated that algae reduced gradually lengthwise along water depth in the same enclosure while pH became high. The power exponent relationship between chlorophyll a (Chl-a) and LI was found by curve fitting, that is Chl-a = K(LI)ⁿ.     

太湖蓝藻水华衰亡对沉积物氮、磷释放的影响

在太湖草型区、藻型区及河口区采集原状泥柱进行加藻培养实验,监测培养过程中溶解氧(DO)、总氮(TN)、总磷(TP)、氨氮(NH4+-N)、磷酸根(PO43--P)等相关指标的变化.结果表明,蔽光培养导致加藻体系中蓝藻大量死亡,形成水体极度缺氧环境(DO接近0),沉积物氮、磷释放量改变,上覆水NH4+-N、PO43--P...     

反硝化脱氮对太湖蓝藻水华态势的影响

反硝化作用是水生生态系统的主要脱氮过程,与蓝藻生长之间存在对氮素的竞争作用,然而气候变化背景下反硝化脱氮对蓝藻水华发生动态的影响仍不清楚.基于2017~2021年北太湖为期5 a的水质监测历史数据,结合不同温度下蓝藻生长和沉积物泥浆培养实验,探究了湖体反硝化脱氮与蓝藻水华之间的相互影响.监测数据表明,太湖水体藻类生物量（以Chla表示）高值主要出现在夏秋季节,而总氮浓度季节变化规律与藻类生物量完全相反,冬春季较高,夏秋季显著降低,溶解态无机氮主要以硝态氮为主,并且硝态氮浓度在夏秋季节几乎接近于零.总磷浓度与Chla浓度变化一致.蓝藻培养实验结果表明,20℃以下蓝藻不能大量生长繁殖.泥浆培养实验结果发现,太湖反硝化作用的最高温度阈值为25℃,在10~25℃之间反硝化潜力与温度呈现显著的线性关系（R²=0.99）.反硝化作用发生的最高硝态氮浓度阈值为4 mg ·L^-1,远高于太湖水体的硝态氮浓度,反硝化潜力最高达到（62.98±21.36）μmol ·（kg ·h）^-1.太湖水体反硝化速率受到硝态氮浓度的限制,而气候变暖导致湖泊温度提前升高,会使蓝藻提前生长,蓝藻生长对硝态氮的同化吸收会和反硝化作用产生竞争,使得大量氮还未被反硝化作用脱除就被藻类吸收利用,从而加剧蓝藻水华暴发的态势.研究结果对于解释近年来气候变化背景下太湖蓝藻水华反弹的机制具有重要科学意义.     

我国湖泊营养物基准的制定方法研究

湖泊富营养化的程度日益严重,已经对人类的生产生活、水生动植物的生存造成了危害。西方一些发达国家尤其是美国已经制定了水体水质基准,形成了一系列的基准制定的方法体系,建立了水质的管理体制。文章描述了我国的湖泊富营养化的现状、美国营养物基准的研究进展;列举了几个能够辅助基准制定的数学模型,探讨了我国的湖泊富营养化基准的制定方法步骤;通过几种模型的比较,并结合我国各方面的特点,确定我国基准制定中参照状态向基准的转化方法以及基准模型的应用和成果。     

水华藻斑漂移速度时变特征研究

以太湖水华藻斑为研究对象,采用自主研发的藻斑漂移原位观测技术,研究分析了不同时间尺度下太湖蓝藻水华易发区藻斑漂移速度的变化特征.结果表明：日内藻斑漂移速率在（0.0793±0.0135）~（0.146±0.0318）m/s范围内变化,藻斑漂移速度的北向分量在-0.0896~0.0247m/s之间,东向分量在-0.0157~0.0029m/s之间.漂移速率日均值变化呈现出锯齿式交替特征即增加-减少-再增加的往复循环,变化范围为（0.0499±0.0141）~（0.1580±0.0120）m/s,漂移方向以北向为主.藻斑漂移速度的月际变化明显,6月~8月,向东漂移的占比逐渐降低,而向西漂移的占比逐渐增加,此期间漂移方向均以北向为主.漂移速率6月上旬最小,均值为0.0680m/s,7月上旬达到最大,均值为0.1350m/s,7月中旬~8月下旬水华藻斑漂移速率在0.0800m/s附近波动.     

抚仙湖富营养化现状、趋势及其原因分析

抚仙湖生态结构脆弱，营养元素收支失衡，具有发生富营养化的潜在危险。应当加大面源治理力度，尽快实施湖滨带生态建设和面源控制工程，搞好面山绿化，减少水土流失，认真依法治湖。     

太湖出入湖河道与湖体水质季节差异分析

基于2016年太湖16条主要河道及对应湖体的水质逐月监测数据,深入探讨了太湖流域不同分区河道的外源营养盐输入对湖体水质影响及其季节变化.结果发现:(1)太湖流域河道总氮(TN)、溶解性总氮(DTN)、总磷(TP)和溶解性总磷(DTP)的月平均浓度均高于对应湖体,主要入流区河道与临近湖体的营养盐浓度呈现显著正相关,表明外源补给对湖体营养盐浓度产生巨大影响;(2)无论是河道还是湖体的营养盐浓度,均呈现明显的季节变化,且峰值产生月份不同:河道平均TN最高值出现在3月,为4.82 mg·L-1,平均TP最高值出现在12月,为0.218 mg·L-1;湖体TN、TP峰值均出现在蓝藻水华暴发期间(7月),分别为4.13 mg·L-1和0.255 mg·L-1;(3)极端降水过程短期内能明显降低河道营养盐浓度,但会引起湖体营养盐外源负荷的明显增高,不利于湖体富营养化控制.本研究表明,对于空间异质性较高的大型浅水湖泊,流域河道入湖污染对湖体营养盐时空格局具有重要的塑造作用,而湖体的污染物自净能力、蓝藻水华物质的空间堆积及风浪引发的底泥再悬浮作用等也都对湖体营养盐浓度、时空格局产生重要影响.     

基于MODIS数据的洞庭湖水体和水华时空变化研究

为明确洞庭湖水华发生规律、水体面积的变化规律及其影响因子,利用MODIS传感器提供的MOD02HKM数据,采用多波段水体指数（MBWI）模型、浮游藻类指数（FAI）方法识别、提取洞庭湖水体、水华范围,并对2001~2015年洞庭湖水体、水华时空分布数据进行分析.结果表明：洞庭湖的水面范围在年内呈现明显的季节变化,在年际成缩减趋势.水域面积由大到小依次是夏季、秋季、春季、冬季,且2001~2015年丰水期水体的平均面积是枯水期的2.2倍;2001~2015年洞庭湖水域面积萎缩速率为-14.574km²/a,其中夏季的萎缩速率最大,达到-38.678km²/a;2001~2015年期间,洞庭湖区域均发生水华,水华主要集中发生在东洞庭湖的西部湖湾区,西洞庭湖和南洞庭湖的水华则沿河岸零星分布;洞庭湖水华存在明显的季节变化和年季变化.每年水华面积基本呈现正态分布,最小值出现在冬季,最大值出现在夏季和秋季,其值达到681.43km²;2001~2015年水华爆发面积最高占全湖面积的18.2%,水华面积年平均变化率为-8.657km²/a,水华爆发面积呈现缩小的趋势.