Seasonal Diatom Variability and Paleolimnological Inferences – A Case Study

The seasonality of physical, chemical, and biological water variables is a major characteristic of temperate, dimictic lakes. Yet, few investigations have considered the potential information that is encoded in seasonal dynamics with respect to the paleolimnological record. We used a one-year sequence of diatoms obtained from sediment traps and water samples, as well as the sedimentary diatom record covering the past ca. 1000 years in Bates Pond, Connecticut (USA), to investigate which variables influence the seasonal distribution of diatoms and how this can be used for the interpretation of the fossil record. The seasonal patterns in diatom assemblages were related to stratification and, to a lesser extent, to nitrate, silica, and phosphorus. During mixing periods in spring and autumn, both planktonic and benthic species were collected in the traps, while few lightly silicified, spindle-shaped planktonic diatoms dominated during thermal stratification in summer. Changes in fossil diatom assemblages reflected human activity in the watershed after European settlement and subsequent recovery in the 20th century. A long-term trend in diatom assemblage change initiated before European settlement was probably related to increased length of mixing periods during the Little Ice Age, indicated by the increase of taxa that presently grow during mixing periods and by application of a preliminary seasonal temperature model. We argue that the analysis of seasonal diatom dynamics in temperate lakes may provide important information for the refinement of paleolimnological interpretations. However, investigations of several lakes and years would be desirable in order to establish a more robust seasonal data set for the enhancement of paleolimnological interpretations.     

基于MODIS数据的2000-2010年乌梁素海"黄苔"时空变化

利用2000-2010年每年5-9月MODIS数据根据比值算法提取乌梁素海湖区黄苔的面积和空间分布信息并进行统计分析,探求乌梁素海黄苔产生的时空分布规律及特征,从而为黄苔的预防和治理提供支持.结果表明:(1)黄苔面积变化的年际和月际特征方面,2000、2001、2005、2006、2008、2010年黄苔面积超过了多年平均值(24 km2).5—7月份黄苔面积较小,保持在20 km2左右;8月黄苔面积迅速增长(约28 km2),9月黄苔面积最大,达到40 km2左右.(2)黄苔发生频率方面,2001年黄苔的规模和频率最高,发生频率达到0.58;2005、2006、2010年次之,发生频率在0.25附近波动(多年年均黄苔暴发频率为0.19);其他年份黄苔的发生频率处于低于0.10的水平.黄苔发生规模较大、次数较多的月份集中在8、9月,发生频率分别达到0.27、0.52,超过多年月均黄苔暴发频率0.19;其他月份黄苔的发生频率处于低于0.10的水平.(3)黄苔出现的空间分布方面,西大滩为东大滩的北部至中部,以及乌梁素海南部明水区排干口附近的西部沿岸是黄苔出现频率较高的区域.(4)2个月前的日均温度、降雨和营养盐浓度及当月风速与黄苔的产生具有极显著相关性;营养盐含量(TN、TP)的空间分布与黄苔的空间分布表现出较好的相关性.乌梁素海黄苔面积的年际变化受人类活动特别是生态补水的影响明显.     

太湖流域昆承湖春季颗粒物和有色可溶性有机物吸收特性

利用2010年4月23日在昆承湖采集的水体吸收系数数据,对总悬浮物颗粒物、浮游植物色素颗粒物、非色素颗粒物和有色可溶性有机物的吸收特征进行研究.结果表明,春季昆承湖水体除675 nm附近具有叶绿素吸收峰的红光波段外,非色素颗粒物吸收系数大于浮游植物色素颗粒物吸收系数,总颗粒物吸收系数光谱分布与非色素颗粒物的吸收光谱类似...     

基于小波神经网络耦合模型对云南星云湖富营养化气象驱动因子的分析

气象因子是影响湖泊富营养化的重要因素,而湖泊富营养化对人群健康、生态系统和社会经济等均有负面影响.本文基于统计资料及遥感数据,结合Morlet小波分析和BP多层前馈神经网络(BP神经网络)构建了不同时间尺度下的小波神经网络耦合模型,分析了19862011年云南星云湖水华强度变化与月降雨量、月平均气温、月平均风速、月日照...     

Macrozoobenthic community of Fuxian Lake, the deepest lake of southwest China

Located in the Yunnan–Guizhou Plateau in southwest China, Fuxian Lake covers an area of 211 km², with maximum depth of 155 m. It is known to have a unique fauna, including 14 described endemic species. In order to describe the zoobenthic community of the lake more completely, the present study was conducted from August 2002 to August 2003. Altogether 62 benthic taxa, including 22 oligochaetes, 21 molluscs and 18 insects were identified, of which the dominant taxa belonged to Potamothrix, Procladius and Paraprososthenia. The standing stocks of benthos were much higher in the littoral (824 ind/m² in density, 3.72 g/m² in biomass) than in the profundal region (23 ind/m² in density, 0.10 g/m² in biomass). Species richness was greatest in summer and standing stocks were larger in spring and summer than in other seasons. Analyses of functional feeding groups indicated that collector-gatherers and scrapers were predominant in entire lake. Stepwise multiple regression analysis demonstrated that the water depth is the most important factor affecting the distribution of macrozoobenthos.     

2007-2019年太湖藻型和草型湖区叶绿素a变化特征及影响因子

基于太湖31个站点的逐月监测数据,分析了2007-2019年太湖藻型湖区和草型湖区的叶绿素a变化特征,并分析研究不同环境因子对不同类型湖区叶绿素a的影响.结果表明,近年来太湖不同类型湖区的总磷浓度和叶绿素a浓度变化基本一致,均呈波动上升趋势.不同类型湖区的总磷浓度拐点均为2015年,叶绿素a浓度拐点均为2016年.最低月平均水温、前冬积温、年平均水温、年均风速与藻型湖区和草型湖区叶绿素a浓度均呈显著相关.沉水植物分布面积与草型湖区叶绿素a浓度之间呈显著相关.湖西区年内和年度降雨剧烈变化,湖西区年降雨量与不同类型湖区当年叶绿素a浓度的关系不明显,5日极端降雨量与不同类型湖区下年度叶绿素a浓度均呈显著正相关.太湖蓝藻水华强度在短期内可能仍会处于较高水平,迫切需要高度重视高温时段太湖蓝藻打捞处置工作,保障饮用水安全;同时,要进一步加强湖西区强降雨期间的非点源污染防控措施研究,推动入湖污染通量稳步降低,并探索东西山之间及东茭咀附近水域沉水植物生态修复技术,降低风浪扰动作用,尽快恢复相关重要水域的沉水植物.     

基于高光谱遥感反射比的太湖水体叶绿素a含量估算模型

旨在寻找叶绿素a的高光谱遥感敏感波段并建立其定量估算模型。通过对太湖水体的连续监测，获得了从2004年6月到8月3个月的太湖水体高光谱数据和水质化学分析数据。利用实测的高光谱数据分析计算太湖水体的离水辐亮度和遥感反射比；然后，通过相关分析寻找反演叶绿素a浓度的高光谱敏感波段，进而建立反演太湖水体叶绿素a浓度的高光谱遥感定量估算模型，并用相关数据对模型进行精度分析。研究发现，水体的遥感反射比光谱在719nm和725nm存在两个峰，其中719nm处的峰更明显且稳定。通过模型的对比分析，发现用这两个峰值处的遥感反射比参与建模可以提高叶绿素a的估算精度；并且认为由反射比比值变量R719／R670所建立的线性模型对叶绿素a浓度的估算精度最理想。     

Isotope variations in a Sierra Nevada snowpack and their relation to meltwater

Isotopic variations in melting snow are poorly understood. We made weekly measurements at the Central Sierra Snow Laboratory, California, of snow temperature, density, water equivalent and liquid water volume to examine how physical changes within the snowpack govern meltwater δ¹⁸O. Snowpack samples were extracted at 0.1 m intervals from ground level to the top of the snowpack profile between December 1991 and April 1992. Approximately 800 mm of precipitation fell during the study period with δ¹⁸O values between −21.35 and −4.25‰. Corresponding snowpack δ¹⁸O ranged from −22.25 to −6.25‰. The coefficient of variation of δ¹⁸O in snowpack levels decreased from −0.37 to −0.07 from winter to spring, indicating isotopic snowpack homogenization. Meltwater δ¹⁸O ranged from −15.30 to −8.05‰, with variations of up to 2.95‰ observed within a single snowmelt episode, highlighting the need for frequent sampling. Early snowmelt originated in the lower snowpack with higher δ¹⁸O through ground heat flux and rainfall. After the snowpack became isothermal, infiltrating snowmelt displaced the higher δ¹⁸O liquid in the lower snowpack through a piston flow process. Fractionation analysis using a two-component mixing model on the isothermal snowpack indicated that δ¹⁸O in the initial and final half of major snowmelt was 1.30‰ lower and 1.45‰ higher, respectively, than the value from simple mixing. Mean snowpack δ¹⁸O on individual profiling days showed a steady increase from −15.15 to −12.05‰ due to removal of lower δ¹⁸O snowmelt and addition of higher δ¹⁸O rainfall. Results suggest that direct sampling of snowmelt and snow cores should be undertaken to quantify tracer input compositions adequately. The snowmelt sequence also suggests that regimes of early lower δ¹⁸O and later higher δ¹⁸O melt may be modeled and used in catchment tracing studies.     

湖泊底泥疏浚环境效应:Ⅰ.内源磷释放控制作用

通过为期一年的疏浚模拟试验,在试验室培养疏浚与对照柱样研究了底泥疏浚对内源磷释放的控制效果．结果发现,疏浚表层30cm能够有效的消减沉积物中不f司形态磷含量与孔隙水中PO4^3-P含量．在一年的试验周期内,疏浚和对照柱沉积物-水界面的PO4^3-P通量分别为-143．8至14．4与-237．3至3047．6μg／（m^2·d）,疏浚柱沉积物-水界面的磷通量总体上低于未疏浚对照的磷通量,尤其是在温度较高的月份,从2006年3-10月疏浚柱沉积物-水界面磷释放通量显著低于未疏浚对照柱,疏浚沉积物的磷的释放潜力低于未疏浚对照沉积物．研究结果表明,在外源磷得到有效控制的前提下,底泥疏浚是消减研究区内源磷负荷有效的技术手段．     

基于GMS鄱阳湖拟建枢纽对地下水影响探讨

针对拟建鄱阳湖水利枢纽工程对地下水影响问题,选择赣江三角洲为代表区,采用资料收集、野外调查、统计分析和数值模拟等方法进行研究。依据地质钻探资料、地下水与河流动态关系、区域数字高程模型,结合鄱阳湖历史形成与演化过程确定研究区边界条件,运用GMS模拟软件建立了研究区地下水三维运动模型。依据推荐的枢纽调度方案,利用数值模型计算枢纽运行后对地下水运动影响的时空变化规律。结果表明:枯水年份影响大,距离河流、坝址近的地方影响大,反之亦然。影响幅度范围0~2m,地下水径流交替因此减弱,丰水年份土壤潜育化面积增加9.3%。