太浦河水体叶绿素a纵向演变特征及主要影响因子

叶绿素a作为重要的水质指标,可直观的描述水体的营养状态。在随水流输送过程中,受沿程环境条件的影响,水体叶绿素a浓度会发生相应改变。2017年11月-2018年10月,在东太湖及太浦河沿线设置了固定采样站点,开展了水体叶绿素a的月际取样调研与分析。结果表明：从东太湖至太浦河沿线叶绿素a浓度发生了明显的纵向演变,在东太湖叶绿素a浓度年平均为（15.341±2.329）μg/L,经过多个站点,到达金泽水文站时,浓度为（11.002±1.004）μg/L,整体上呈显著下降态势（P<0.05）,但不同站点两两之间的对比特征存在差异,而且在不同月份其纵向演变特征也有所不同。聚类及非度量多维尺度分析也表明其在空间和时间上分布的差异性。非线性回归分析表明,在时间和空间上与叶绿素a浓度相关性最高的环境因子为水下0.5 m处的光照强度（P<0.01）;在2018年10月,水体叶绿素a浓度与溶解氧也呈显著相关（P<0.05）。综合现有研究,水体叶绿素a的纵向演变受水质等多种因素的影响。未来需采用系统分析手段,探讨水质、降水、水力停留时间、流速和流量等多种因子对叶绿素a时空分布特征的综合作用,以期为水源地水质安全保障提供科学依据。     

太湖水体叶绿素a含量与氮磷浓度的关系

基于太湖水体1993—2002年5—9月监测资料,进行了叶绿素a含量与总氮(TN)、总磷(TP)浓度关系的分区统计分析,探讨了太湖藻类生长的TN、TP适宜浓度。结果表明:太湖叶绿素a含量与TN、TP浓度的关系存在显著的空间差异;在梅梁湾和西北区,当TN、TP浓度较低时,叶绿素a含量与TN、TP浓度呈正相关;当TN、TP浓度较高时(梅梁湾TN、TP浓度分别超过5.4和0.31mg.L-1;西北区分别超过4.5和0.27mg.L-1),叶绿素a含量与TN、TP浓度呈负相关;在湖心区和贡湖区,叶绿素a含量与TN、TP浓度呈正相关,尤其当TP浓度超过0.1mg.L-1时,叶绿素a含量随TP浓度增加而上升;在东太湖和湖东滨岸区,随TN、TP浓度的升高,叶绿素a含量变化较小;在西南区,叶绿素a含量与TN浓度无显著相关关系,与TP浓度呈正相关;太湖藻类生长的适宜浓度是TN<5.4mg.L-1,TP为0.1～0.31mg.L-1。     

太湖水色因子空间分布特征及其对水生植物光合作用的影响

利用太湖全湖64个采样点的数据,分析了各水色因子及真光层深度的空间分布和变化特征,并探讨了其对水生植物光合作用的影响.结果表明:叶绿素a浓度在全湖间的差异最大,其变化范围为1.67～159.94μg.L-1,均方差为41.03μg.L-1,在梅梁湾、竺山湖、夹浦港和小梅口附近湖区,叶绿素a浓度较高且空间变化明显,等值线在这些湖区密集分布;悬浮物浓度变化次之,其含量在6.47～143.47mg.L-1之间变化,均方差为31.63mg.L-1,其在大浦港和小梅口入湖口附近湖区的空间变化明显,等值线分布密集;有色可溶性有机物(CDOM)吸收系数在全湖变化较小,没有明显的空间变化特征;真光层深度受悬浮物和叶绿素的共同影响,其空间分布特征与悬浮物相反.     

基于高光谱影像湖泊叶绿素a浓度反演分析

针对湖泊叶绿素a浓度的快速变化及水体富营养化问题,以太湖水体为例,利用太湖区域2019年10月、11月和12月的珠海一号高光谱影像,采用波谱特征分析、主成分分析、皮尔逊相关系数、建立反演模型分析江苏省太湖区域水体叶绿素a浓度的分布状态以及时空变化状况。通过主成分分析划分与水体信息相关的成分,提出采用珠海一号高光谱影像的中红外波段建立耦合可见光和近红外辐射信号的WCI模型。结果表明:(1)水体光谱曲线特征与主成分分析结果一致,分别为光合作用波段、细胞散射波段和水体增温波段。(2)改进的耦合可见光与中红外辐射信号的建立的WCI模型的反演精度最高,均方根误差RMSE为(1.4008 mg·L^-1),平均相对误差(MRE)为10.69%。(3)2019年10月一12月间,湖泊叶绿素浓度整体变化不大,太湖叶绿素a浓度的遥感反演结果总体上呈现为湖西区域浓度较低,湖东区域浓度较高的特征。     

南海北部海区浮游植物粒级结构生物光学反演模型的验证与评价

浮游植物粒级结构是海洋生态系统中的一个重要生物学因子。基于生物光学参数反演浮游植物粒级结构变化是当前水色遥感研究的热点问题。本文综合南海北部海区多年航次调查数据,对现有几类反演算法进行了区域性优化和验证评价。根据叶绿素 a 浓度（Chl a）或浮游植物吸收系数（aph （443））的阈值可实现南海北部海区小型（Micro）和微微型（Pico）浮游植物主导的划分,微型（Nano）的判别精度较差。基于归一化吸收光谱提取的粒级指数可定性地表征浮游植物粒级结构的综合变化趋势。基于叶绿素 a 浓度的三组分模型,较好地模拟浮游植物粒级结构的变化规律,可实现分粒级叶绿素 a 浓度的定量反演,Pico 粒级的反演精度较高;在此基础上,耦合浮游植物吸收光谱变化规律和总叶绿素 a 浓度定量反演粒级结构的模型,进一步提高了 Micro 和Nano 粒级的反演精度,且线性相关程度增强。     

蓝藻水华预报模型及基于遗传算法的参数优化

蓝藻水华预报是应对水危机,保障水资源供给的一项重要工作。以太湖北部三湾(竺山湖、梅梁湾、贡湖)为研究对象,采用动态空间环境建模技术,构建了蓝藻水华预报模型,并通过实地观测建立了模拟的初始参数集。利用2008年04-09月太湖水环境、气象等实测数据,采用遗传算法优化叶绿素a浓度预报模型中敏感度较高的4个参数。研究结果表明,该模型在蓝藻水华空间分布的预报上达到了一定的精度;采用遗传算法能全面、高效地进行参数优化,降低了模拟结果的相对残差,提高了模型预报精度。     

南淝河叶绿素 a 时空分布特征及环境因子影响分析简

2009年8月至2012年4月,采样测试了南淝河上游8个位点的水质状况等,分析了南淝河叶绿素a(Chl.a)的时空分布特点及其与环境因子的关系。结果表明,南淝河研究河段Chl.a平均值为83.46μg/L,已处于严重富营养化状态。南淝河Chl.a浓度与总磷(TP)、化学需氧量(COD)、酸碱度(pH)、总固体悬浮物(TSS)、水温(WT)显著性正相关(P0.05),与透明度(SD)、氨氮/总磷比值(4NH+–N/TP)、水深(WD)、降雨(Rain)及风速(Wind)显著性负相关(P0.05)。逐步回归分析表明,影响南淝河上游河段Chl.a浓度的主导环境因子依次为水温、风速、降雨、总磷和氨氮。对南淝河与其他富营养化水体Chl.a的主要影响因子进行比较,结果表明水温是影响Chl.a的最重要因子,氮磷比、营养盐、降雨、风速、生物因子均对富营养化水体Chl.a有影响。     

南淝河叶绿素a时空分布特征及环境因子影响分析

2009年8月至2012年4月,采样测试了南淝河上游8个位点的水质状况等,分析了南淝河叶绿素a(Chl.a)的时空分布特点及其与环境因子的关系。结果表明,南淝河研究河段Chl.a平均值为83.46μg/L,已处于严重富营养化状态。南淝河Chl.a浓度与总磷(TP)、化学需氧量(COD)、酸碱度(pH)、总固体悬浮物(TSS)、水温(WT)显著性正相关(P0.05),与透明度(SD)、氨氮/总磷比值(4NH+–N/TP)、水深(WD)、降雨(Rain)及风速(Wind)显著性负相关(P0.05)。逐步回归分析表明,影响南淝河上游河段Chl.a浓度的主导环境因子依次为水温、风速、降雨、总磷和氨氮。对南淝河与其他富营养化水体Chl.a的主要影响因子进行比较,结果表明水温是影响Chl.a的最重要因子,氮磷比、营养盐、降雨、风速、生物因子均对富营养化水体Chl.a有影响。     

三峡正常蓄水后长江口叶绿素a和溶解氧变化及其成因

根据2010年8月、10月和2011年5月的现场监测数据,对长江口水域在三峡水库175m试验蓄水实施后一个水文年中叶绿素a和溶解氧(DO)的分布特征及其影响因素进行分析。结果表明,叶绿素a平面分布夏季有两个高值中心,春季有一个高值中心;在口门北缘夏季表层叶绿素浓度值最高。垂向上,夏季叶绿素a浓度表层和底层高;春季和秋季叶绿素a浓度中层高。夏季表层和底层DO浓度相差较大,秋季和春季表、底层DO浓度分布比较均匀;整体上秋季和春季的DO浓度高于夏季。工程蓄水后DO低值区和叶绿素a峰值区向口门内位移,对生态系统结构将产生影响。     

太湖叶绿素a年际变化的主要驱动因子及未来气候的影响

根据1985—2011年的大气与湖泊观测数据以及CNRM-CM5模式模拟的RCP4.5情景下太湖未来气温变化数据,采用偏最小二乘回归分析及预测方法,分析了年际尺度上气温、水体总氮(TN)、总磷(TP)、无机磷(IP)和溶解的硅元素(Si)等因子对太湖叶绿素a(Chl-a)浓度变化的影响,并进一步评估了未来气温变化对Chl-a浓度的影响。结果表明:1980—2011年,太湖年平均气温呈显著的增暖趋势,增温速率约为0.73℃·10 a-1;在1985—2011年,Chl-a浓度也表现出显著的增加趋势,年增加速率达到0.43μg·L-1;TN和Si的增加趋势较为显著,而TP和IP的增加趋势不十分显著;相关分析及偏最小二乘回归分析均说明,相对于营养物质,气温在调控太湖Chl-a的年际变化过程中发挥着主导作用,而就营养物质而言,TN和Si对年平均Chl-a浓度年际变化的调控作用大于TP和IP;在RCP4.5情景下,太湖未来气温将以0.19℃·10 a-1的速率增加;当前营养物浓度条件下,太湖浮游植物生物量也将显著增加,Chl-a浓度10年滑动平均值最高达到34.18μg·L-1,发生在2075—2085年;在将TN浓度消减1/2情况下,未来Chl-a浓度的10年滑动平均值最高为28.91μg·L-1,也出现在2075—2085年,小于当前营养物质浓度条件下的最小Chla浓度值,可以有效缓解未来气候变暖对太湖富营养化的影响。     

太湖水华程度及其生态环境因子的时空分布特征

湖泊水华是全世界面临的严重生态环境问题之一,对人类和生态系统健康都有重大影响。由于湖泊水华受流域面源、点源污染、气候、水文因子以及湖泊生态系统自身特征等众多因素影响,水华是否爆发、其严重程度及时空分布特征呈现明显的复杂性。以我国太湖为研究区域,基于近年的水华及水环境的监测数据,用自组织特征映射神经网络对太湖不同监测点的水华程度进行了自动聚类分析。结果表明,太湖水华程度呈现为明显的无水华、轻度、中度和重度水华4类。不同程度水华的叶绿素a、水温、COD_(Mn)、营养盐、浮游植物生物量以及藻种(蓝藻、绿藻、硅藻)结构的时空差异显著,不同变量间的关系复杂,有助于深入认识太湖近年水华发生的时空变异特性。     

Effects of hydrodynamics on phosphorus concentrations in water of Lake Taihu,a large,shallow, eutrophic lake of China

To understand the effect of hydrodynamical process on water phosphorus concentration, wind, wave, and several water quality indices were observed in Meiliang Bay, a shallow and eutrophic bay locates in north of Lake Taihu. During the 7 day observation period, wind speed and significant wave height were recorded more than 3 h per day, and water samples were collected in five water-depth layers once a day. Hydrodynamical disturbance had no significant correlationship with the water quality at the top layer when the significant wave height was smaller than 30 cm, but it significantly increased suspended solids (SS) concentration of the bottom water layer. Concentrations of nutrients showed no positive correlationship with SS concentration in the water body. Intensive sediment resuspension may not have occurred when the hydrodynamic stress on sediment was only a little higher than the critical stress for sediment resuspension. A new method for confirming the critical stress for intensive sediment resuspension and nutrient release still needs to be developed. The range of the water quality indices was quite high during the seven days of observation. High variation seems to be a common character of large shallow lakes like Taihu.     

Impacts of the Yangtze River water transfer on the restoration of Lake Taihu

In order to improve the water quality and to abate the jeopardy of water bloom in Lake Taihu, China, two experimental water transfers from the Yangtze River to Lake Taihu were conducted in winter–spring 2002 and in summer–autumn 2003. In this study, an ecological model (EcoTaihu) was introduced to assess their environmental effects. First, the model was re-calibrated and reverified for the periods of the water transfer, then numerical calculations with and without the water transfer were carried out. The percentage of the area where water quality was improved by the water transfer was calculated in seven sub-zones of the lake. The results show that the experimental water transfers in both of the periods have notable positive effects on debasing the concentration of phytoplankton, total nitrogen and dissolved oxygen in some sub-areas. The positive effects fluctuated with the duration of the water transfer, and were different for different water quality parameters and in different sub-zones. Among the five water quality parameters considered, chlorophyll a achieved the most significant improvement. There are no notable positive effects on the total phosphorus in any sub-zones. Meiliang Bay, Gonghu Bay and Northwest Zone had more positive effects than the east epigeal zone and Dongtaihu Bay. As the water transfer results in net input of nitrogen and phosphorus to Lake Taihu, it can only be used as an emergency measure to abate the jeopardy resulting from water bloom. Otherwise, the water transfer would increase the risk of eutrophication in Lake Taihu if the concentration of phosphorus and nitrogen in the influent water was not cut down to a reasonable level.     

Lake Topography and Wind Waves Determining Seasonal-Spatial Dynamics of Total Suspended Matter in Turbid Lake Taihu,China: Assessment Using Long-Term High-Resolution MERIS Data

Multiple comprehensive in situ bio-optical investigations were conducted from 2005 to 2010 and covered a large variability of total suspended matter (TSM) in Lake Taihu to calibrate and validate a TSM concentration estimation model based on Medium Resolution Imaging Spectrometer (MERIS) data. The estimation model of the TSM concentration in Lake Taihu was developed using top-of-atmosphere (TOA) radiance of MERIS image data at band 9 in combination with a regional empirical atmospheric correction model, which was strongly correlated with the in situ TSM concentration (r ² = 0.720, p<0.001, and n = 73). The relative root mean square error (RRMSE) and mean relative error (MRE) were 36.9% and 31.6%, respectively, based on an independent validation dataset that produced reliable estimations of the TSM concentration. The developed algorithm was applied to 50 MERIS images from 2003 to 2011 to obtain a high spatial and temporal heterogeneity of TSM concentrations in Lake Taihu. Seasonally, the highest and lowest TSM concentrations were found in spring and autumn, respectively. Spatially, TSM concentrations were high in the southern part and center of the lake and low in Xukou Bay, East Lake Taihu. The lake topography, including the water depth and distance from the shore, had a significant effect on the TSM spatial distribution. A significant correlation was found between the daily average wind speed and TSM concentration (r ² = 0.685, p<0.001, and n = 50), suggesting a critical role of wind speed in the TSM variations in Lake Taihu. In addition, a low TSM concentration was linked to the appearance of submerged aquatic vegetation (SAV). Therefore, TSM dynamics were controlled by the lake topography, wind-driven sediment resuspension and SAV distribution.     

Developing a two-step method for retrieving cyanobacteria abundance from inland eutrophic lakes using MERIS data

Cyanobacteria are the main dominant species in inland eutrophic lakes during algae blooms, and measures of cyanobacteria abundance can be used for monitoring and early detection of algal blooms by remote sensing. During May 2013 and August 2016, a total 137 water samples were collected from Lake Taihu and Lake Chaohu. Remote-sensing reflectance was measured, surface water was collected in the field, and chlorophyll-a concentration, phycocyanin concentration, suspended-matter concentration and phytoplankton pigment absorption parameters were measured in the laboratory. The composition and density of planktonic algae were also detected by microscope examination. The remote-sensing reflectance at 15 MERIS bands was simulated based on our measured spectral data, and a two-step method for detecting cyanobacteria abundance using the partial least squares model based on 5 MERIS bands was developed. The results showed that the estimation algorithm can predict cyanobacteria abundance in inland eutrophic lakes with satisfactory accuracy, with RMSE of 7.56 and MAPE of 13.44 %. This algorithm was successfully applied to the MERIS image acquired on August 12, 2010, and showed a reasonable spatial distribution of cyanobacteria abundance in Lake Taihu. It demonstrated that the developed estimation method was an effective way to monitor cyanobacteria abundance in water with a potential to be successfully applied to Sentinel-3 images.     

太湖西北湖区2003-2012年间氮磷浓度及浮游植物主要类群变化趋势分析

基于2003-2012年太湖竺山湖和西部沿岸区水体理化指标与浮游植物丰度的逐月监测数据,分析了两个湖区氮磷营养盐状态和浮游植物丰度以及浮游植物主要类群的年际变化趋势及季节变化特征,探讨了浮游植物群落变化与水温及营养盐指标间的关系。结果表明：10年间两个湖区氮磷营养盐浓度总体呈下降趋势,以竺山湖TN、NH₃-N浓度和西部沿岸区NO₃-N浓度下降最为显著;浮游植物丰度总体呈上升趋势,蓝藻在群落结构中日益占据绝对优势;季节变化上,氮营养盐浓度表现为春冬季节高于夏秋季节,TP浓度和浮游植物丰度呈相反的变化趋势。Pearson相关分析显示,水温、NH₃-N浓度和TN/TP是影响蓝藻丰度及其在浮游植物群落中所占比例的主要因素。在温度和营养盐结构的共同作用下,10年间两个湖区蓝藻水华暴发时间逐渐提前,而消退时间逐渐滞后,水华持续时间逐年上升。在全球变暖背景下,太湖水华治理需执行更加严格的氮磷限制阈值,且在重污染的西北湖区控磷依然是关键。     

Temporal and spatial variations of chemical oxygen demand in Lake Taihu,China, from 2005 to 2009

We undertook a study in Lake Taihu, China, from 2005 to 2009 including a total of 639 samples to determine: (i) the seasonal dynamics and spatial distribution of the chemical oxygen demand (COD) and (ii) the relationships between the COD concentration and the biochemical oxygen demand (BOD), phytoplankton pigment, total dissolved nitrogen (TDN), and total dissolved phosphorus (TDP) concentrations, as well as the chromophoric dissolved organic matter (CDOM) absorption coefficient. There were significant spatial differences in the COD concentration, which gradually decreased from Zhushan Bay in the northwest, to the north, the lake center, and the southeast of the lake. The COD concentration was significantly higher at near-shore sites than that at open water sites. The mean COD concentrations were significantly higher in the spring and summer than in the winter and autumn. The lowest annual mean COD concentration appeared in 2009, which could be attributed to improvements in water quality management and high rainfall. The COD concentrations in all four seasons were strongly correlated with phytoplankton pigment, suggesting that extracellular release of COD from phytoplankton was an important COD source. The correlation coefficients between the COD and phytoplankton pigment concentrations were higher in the spring, summer, and autumn than in the winter, showing a more important contribution of phytoplankton degradation to COD in the algal bloom season than in the non-algal bloom season. These new data on the temporal and spatial characteristics of the COD in Lake Taihu will be crucial for developing future strategies for water quality management.     

Abundance and community composition of ammonia-oxidizing archaea and bacteria in two different zones of Lake Taihu

The abundance and community composition of ammonia-oxidizing archaea and ammonia-oxidizing bacteria in the surface sediments of 2 different zones (Meiliang Bay and Eastern Lake Taihu) of Lake Taihu were investigated using real-time quantitative polymerase chain reaction and clone libraries. The amoA gene copy numbers in the surface sediment of Meiliang Bay ranged from 4.91?× 10(5) to 8.65?× 10(6) copies/g dry sediment for the archaeal amoA gene and from 3.74?× 10(4) to 3.86?× 10(5) copies/g dry sediment for the bacterial amoA gene, which were significantly higher than those of Eastern Lake Taihu (P?< 0.05). Concentrations of ammonia (NH(4)(+)), total nitrogen, organic matter, and pH of the sediments exhibited significantly negative correlations with the abundance of ammonia-oxidizing archaea or ammonia-oxidizing bacteria (P?< 0.05 or P?< 0.01, respectively). The potential nitrification rates show remarkable correlations with the copy numbers of the archaeal amoA gene. Diversity of the archaeal amoA gene in Eastern Lake Taihu was significantly higher than that of Meiliang Bay, whereas the bacterial amoA gene diversity was comparable for the 2 lake zones. The data obtained in this study would be useful to elucidate the role of ammonia-oxidizing archaea and ammonia-oxidizing bacteria in the nitrogen cycle of freshwater ecosystems.     

Intra-habitat Differences in the Composition of the Methanogenic Archaeal Community between the Microcystis-Dominated and the Macrophyte-Dominated Bays in Taihu Lake

A regime shift between a macrophyte-dominated clear state and a phytoplankton-dominated turbid state can have considerable impact on ecosystem structure and function of shallow lakes. However, very little is known about the response of the methanogenic archaeal community in the sediment during this regime shift. We investigated the methanogenic archaeal community at two sites in the large, shallow, eutrophic Taihu Lake over the course of one year. One site is located in Meiliang Bay and is dominated by Microcystis blooms, and the other site is located in East Taihu Bay and is dominated by aquatic macrophytes. Terminal restriction fragment length polymorphism (T-RFLP) and phylogenetic analyses of archaeal 16S rRNA genes were used to analyze the methanogenic community. Higher ratio of methanogens in Archaea was observed in East Taihu Bay than in Meiliang Bay. The methanogenic archaeal community was dominated by the Methanobacteriales and the LDS cluster in macrophytes-dominated East Taihu Bay, while it was dominated by the Methanosarcinaceae, Methanobacteriales, and the LDS cluster in Microcystis-dominated Meiliang Bay. Clustering analysis of all of the samples revealed differences in the composition of the methanogenic archaeal communities between the two sites that were independent of seasonal variations. Further statistical analysis indicated that the chlorophyll a (Chla) concentration had a profound impact on the composition of the methanogenic archaeal community in Meiliang Bay, whereas it was primarily influenced by total organic carbon (TOC) levels in East Taihu Bay. Overall, this investigation demonstrates that intra-habitat differences in the composition of methanogenic archaeal communities are likely driven by changes in the available organic materials.