改进的TLI指数法及其在巢湖营养状态评价中的应用

对巢湖2000—2008年的监测数据运用SPSS做统计分析,得出叶绿素a与总氮、总磷和透明度的相关系数。通过得出的权重结果,分析出与26个湖泊的差异性,构建了改进的综合营养状态指数(TLI)评价方法,并提出评价的4个步骤。以巢湖为例,运用该方法对湖泊的营养状态进行评价,且对巢湖的富营养化程度做了年际和年内变化的综合评价,评价结果显示各营养物指标的相关关系在近30年有了较大变化,巢湖的富营养化现象已日益严重,已从轻度富营养化状态转变为中度富营养化状态。     

基于动态聚类分析和盲数理论的综合营养状态指数评价模型

考虑到常用水质富营养化评价模型的单一、确定性缺点,尝试将动态聚类分析与盲数耦合理论引入水环境富营养化评价领域,建立了改进的综合营养状态指数评价模型,最后借助克里格插值法对评价结果的可信度进行空间可视化表征。利用改进模型对2009年洞庭湖区域的水环境空间的富营养化状况进行了评价,结果表明,东洞庭湖、扁山、鹿角富营养化程度相对严重,隶属于富营养化的可信度分别达到了0.5444、0.5318和0.5260。与确定性评价模型对比分析表明,所建改进模型更充分地考虑到被观察个体的差异,集成了更全面的样本信息,并可同时计算出了各采样点综合营养状态指数的区间数与其相对应的可信度水平,从而有效地提高了评价模型的可分辨性。     

东江干流富营养化评价及区域差异性研究

利用综合营养状态指数评价东江富营养化状况.结果表明,东江富营养化程度较轻,干流绝大部分区域(96％)为中营养及中营养以下水平,只有少数区域(4％)达到富营养水平.同时,东江干流富营养化程度区域差异性明显,从上游至下游河口富营养化程度逐渐加重.针对东江水质污染现状,建议东江水体管理应以保护为主,同时采取有效措施,改善下游...     

改进的模糊评价法在太湖水质评价中的应用

基于模糊评价原理,选取氨氮、总磷、高锰酸盐指数、溶解氧、五日生化需氧量和总氮等6项评价指标构造综合评判数学模型,通过改进模糊评价结果分析方法,运用加权平均原则对模糊评价结果向量进行计算,综合分析和评价太湖20个监测点位2011—2013三年的水质情况。最后运用Arc GIS的空间分析功能,选取合理的插值方法,对评价结果进行空间分析,与传统的模糊评价分析方法相比,所得评价结果更能直观反映湖体真实的水质状况。结果表明,时间上,太湖水质2012年比2011年有所好转,而2013年水质又有所下降;空间上,太湖呈现出从西到东水质状况逐渐变好的趋势;总体来说,水质评价结果不容乐观,仍需进一步控制污染物的浓度。     

湖泊富营养化治理成效阶段水环境特征研究——以贵阳市饮用水源地红枫湖为例

红枫湖是贵阳市重要的生活饮用水源地,20世纪90年代末期水体污染严重。从2008年开始进行综合治理,2011年起进入治理成效阶段。为了对治理成效期的水质状况有全面了解,为进一步污染治理和生态调控提供科学依据和对策,利用富营养化指数法和主成分分析方法对2011—2013年水体富营养化状态特征进行研究分析。结果表明:(1)在监测期,红枫湖始终保持中营养状态不变,但呈现逐年减弱的趋势,水质达标率逐年升高。(2)全湖的综合营养状态指数存在明显的时空异质性。(3)影响红枫湖水体质量的主控因子为叶绿素a、pH、透明度、总磷和高锰酸盐指数,总氮对其影响不显著。(4)在下一步治理中,继续加强外源性治理的同时,须加强水体内源性污染的治理工作,促进水质进一步好转。     

天目湖富营养化现状研究

基于2005年天目湖(沙河水库)库体和取水口水质监测资料,分析其水库水质和富营养化状况.结果表明,全年水库透明度为3.10±0.14 m,总氮为0.455±0.036 mg/L,总磷为0.017±0.004 mg/L,N/P比的均值为28.8±9.5,浮游植物生长主要受营养盐磷的限制.采用总氮、总磷、透明度、高锰酸盐指数、溶解氧五项指标作为参数的富营养状态指数,评价结果表明,沙河水库水体营养水平较低,处于贫营养状态.     

基于模糊权物元理论的地下水水质评价模型构建及应用

在物元分析的基础上,结合模糊权重理论与层次分析方法，构建用于评价地下水水质的模糊权物元分析模型。应用此模型对徐州市的重要水源地——张集水源地的地下水水质进行了综合评价。选取数据较为完整的20个监测井的监测数据进行评价。结果表明，研究区的20个采样点水质为Ⅱ、Ⅲ级的占95%，绝大多数地下水水质较好，符合饮用水的要求。与投影寻踪法和模糊概率法的评价结果比较发现，得出的评价结果与以上2种评价结果基本一致。     

巢湖水质时空分布模式研究

依据2004~2006年12个采样点11个水质指标数据,应用主成分分析(PCA)、聚类分析(CA)、判别分析(DA)和基于G IS平台的克里格插值法,对巢湖水质时空分布模式进行研究。通过统计分析将巢湖11个水质指标概括为4个主成分:第一主成分COD、BOD5和Chl-a;第二主成分电导率、NH4+-N、TN和TP;第三主成分温度和DO;第四主成分pH和SD。在空间尺度上分为2组,分别对应于东西半湖。除了DO指标,空间上西半湖周边区域的水质指标浓度显著高于东半湖;东西半湖TP和COD空间分布相似;在时间尺度上,可分为1月~3月份、12月份一组和4月~11月份一组;TP、COD、DO和SD指标第一时期浓度高于第二时期,温度、电导率和Chl-a指标则相反;溶解氧和温度两者的时间差异性呈现明显的负相关。并对采样点和采样频次进行了适当优化。     

3S技术在太湖富营养化和蓝藻水华分布规律中的应用研究

应用3S技术,采用营养状态指数法、蓝藻水华分级评价方法以及蓝藻水华发生频率分析方法,对2010—2013年太湖富营养化状况和太湖蓝藻水华时空分布规律进行分析和研究,以期为太湖富营养化控制和蓝藻水华预警、监控工作提供技术支持,同时为太湖水环境治理提供科学依据。实践证明,3S技术能快速、全面、直观地反映太湖富营养化状况和蓝藻水华时空分布规律。结果表明:(1)2010—2013年太湖处于轻度富营养状态,太湖富营养化呈现西北高、东南低的分布规律;(2)2010—2013年,全太湖小型蓝藻水华发生次数最多,蓝藻水华级别越高,发生次数越少;(3)年际变化上,蓝藻水华发生次数总体趋于平稳,蓝藻水华发生呈现"小型多发、中大型少发、重大型偶发"趋势,蓝藻水华发生规模呈显著缩小趋势;(4)月际变化上,8月和9月是太湖蓝藻水华的高发月份,9月蓝藻水华发生规模最大;(5)空间变化上,太湖西部沿岸是太湖蓝藻水华首次爆发最频繁的水域,太湖西部沿岸区尤其宜兴沿岸是蓝藻水华爆发频率最高的水域。     

龙形水系中心区水体富营养化评价与成因分析

龙形水系是北京奥林匹克公园内的主要景观水体,以再生水为主要补水水源.采用综合营养状态指数法对龙形水系中心区(简称中心区)水体富营养化状态进行评价.结果表明:(1)中心区水体全部为富营养状态,汛期的综合营养状态指数总体呈逐渐降低的趋势,即水体在汛期初期至中期为中度富营养,后期为轻度富营养；汛期结束后水质较差,综合营养状态指数上升,中心区水体达到重度富营养化状态.(2)再生水为中心区水体污染物的主要污染源,其TN、TP、COD和NH4+-N年输入量占各类污染物年总输入量的85％以上；在汛期,其主要污染物输入量占总输入量的70％以上.中心区水体在汛期没有明显的污染物集中输入现象.(3)中心区水体富营养化主要成因为氮磷等营养物质的输出量小于输入量,造成氮磷等营养物质大量累积.(4)在汛期,外界的适宜温度、饱和光照、水体的弱碱性和缓慢流速加大了中心区水体水华暴发风险.     

Environmental heterogeneity analysis,assessment of trophic state and source identification in Chaohu Lake,China

Introduction  

Environmental heterogeneous methods were used for analysing data sets of trophic state with 11 parameters measured at 12 different sites at Chaohu Lake for the period 2004 to 2006. The aim of this research was to determine spatial/temporal variations in water quality, to assess trophic state and to identify pollution sources. Protective measures and schemes were proposed to improve water quality in the lake.     

Comparison of microbial community between two shallow freshwater lakes in middle Yangtze basin, East China

In order to investigate the role of the microbial community in aquatic ecology and nutrient transformations in the development of eutrophication in large shallow freshwater lakes along Yangtze River, the microbial community in the depth-related sediment in Lake Chaohu and Lake Longganhu were compared. Lake Chaohu is one of the three most polluted lakes in China. However, the neighboring Lake Longganhu, a mesotrophic lake, is relatively pristine. The total phosphorous (TP) and total nitrogen (TN) concentration in water was detected at 0.193 mgl(-1) and 3.035 mgl(-1) for Lake Chaohu, 0.051 mgl(-1) and 0.774 mgl(-1) for Lake Longganhu, respectively. The population of the microorganisms with various ecological nutrient transforming functions (e.g. phosphate solubilizing, denitrifying and cellulose decomposing) and a batch of environmental parameters concerning the nutrient accumulating and transforming (e.g. total organic carbon, total nitrogen, and total phosphorous concentrations) were assayed in the depth-related sediment samples from several defined points in both lakes. The sediment samples from Lake Chaohu showed higher density of actinomycetes (P<0.05) and phosphate-solubilizing bacteria (P<0.001) and less profusion of denitrifying bacteria (P<0.05) and cellulolytic microbes (P<0.001), compared with those of Lake Longganhu. The data suggested that the current microbial community in the sediment of Lake Chaohu is in favor of sustaining or further accelerating the process of the lake eutrophication. A possible positive feedback loop which consists of sustained growth of microorganisms and gradual decline of lake eutrophic status is worth further discussing.     

Biofilm responses to marine fish farm wastes

The changes in the biofilm community due to organic matter enrichment, eutrophication and metal contamination derived from fish farming were studied. The biofilm biomass, polysaccharide content, trophic niche and element accumulation were quantified along an environmental gradient of fish farm wastes in two seasons. Biofilm structure and trophic diversity was influenced by seasonality as well as by the fish farm waste load. Fish farming enhanced the accumulation of organic carbon, nutrients, selenium and metals by the biofilm community. The accumulation pattern of these elements was similar regardless of the structure and trophic niche of the community. This suggests that the biofilm communities can be considered a reliable tool for assessing dissolved aquaculture wastes. Due to the ubiquity of biofilms and its wide range of consumers, its role as a sink of dissolved wastes may have important implications for the transfer of aquaculture wastes to higher trophic levels in coastal systems.     

Phytoplankton Community and Chlorophyll a as Trophic State Indices of Lake Skadar (Montenegro,Balkan) (7 pp)

Background, Aims and Scope Phytoplankton, as a first step in trophic cascades of lakes, can be a good indicator of trophic states, considering that every environmental change affects this community and many species of this community are sensitive to changes, and that they response very quickly. In this study, we tried to assess and predict the trophic state of Lake Skadar according to phytoplankton data.Methods Water samples were collected using Ruttner sampling bottle. Temperature, dissolved oxygen, ph, conductivity and transparence were measured in situ using portable equipment. Nutrients and chlorophyll a were measured using standard spectrophotometric methods. A determination of phytoplankton species was performed using relevant keys and the counting of cells was performed using sedimentation methods.Results and Discussion The species composition of Lake Skadar revealed 95 taxa, with Chlorophyceae and Bacillariophyceae being represented best. According to an average chlorophyll a concentration of 5.9 &#181;g/l, Lake Skadar belongs to the mesotrophic level of the trophic scale. Developed prediction equation for chlorophyll a revealed a good prediction (R2=0.71) and the parameter Secchi depth was primarily correlated with chlorophyll a concentration. Trophic state indices derived from chlorophyll a and transparency, were close together, but both were below the phosphorous index. Values of trophic state indices rank the Lake Skadar as being mesotrophic. This study also showed that indices of diversity based on phytoplankton are weak indicators of trophic status and that they can well characterize only differences between assemblages and associations. According to calculated saprobic indices (ranging from 1.5 to 2.15), Lake Skadar is on betamesosaprobic level of saprobity, which means that it is moderately polluted with organic compounds. Conclusions Total phosphorus is not the main limiting factor for the phytoplankton community in Lake Skadar. Disagreements between chlorophyll and the transparency index, on the one hand, and the total phosphorus index, on the other, suggest that the phytoplankton in Lake Skadar is probably limited by other factors than phosphorus, such as nitrogen, toxic substances or intense zooplankton grazing. According to the majority of investigated parameters and indices derived from phytoplankton data, Lake Skadar is mesotrophic, with tendencies toward eutrophic levels during the summer period. Recommendations and Outlook Long-term monitoring is required for a better estimation of state and the conditions of Lake Skadar. Further studies on factors influencing the phytoplankton community, especially zooplankton grazing and toxic substances, which were not included in this study, should be continued in the future to improve the efficiency of phytoplankton usage in estimating the ecological and trophic conditions of Lake Skadar.     

疏浚对巢湖双桥河水环境容量的影响

双桥河是巢湖受污染较为严重的入湖河流之一,其入湖口距巢湖市自来水厂取水口仅500 m,同时也是巢湖市的主要行洪河道,为了改善水质状况并提高河道行洪能力,于2010年3—5月对双桥河进行了疏浚。本文作者于2009年12月—2010年10月对双桥河监测断面及排污口进行了监测,在分析双桥河水质及现有污染源的基础上,选择CODMn、TP、NH3-N和TN作为水质敏感参数,对疏浚前后双桥河的不同河段污染物质的水环境容量进行了模拟计算,并调查了水生植被覆盖度及沉积物氮磷含量的变化。结果表明,疏浚后整个河道水生植被的覆盖度由40%降低到5%左右,各污染物的降解系数都有较大程度的降低,同时疏浚后短期内CODMn和TP的环境容量均有一定程度的降低,而NH3-N和TN的环境容量变化较小。分析认为,这一方面是由于疏浚后河道内水生植物覆盖度的降低导致水体的自净能力降低,另一方面是由于疏浚过程中的扰动引起大量沉积物的再悬浮及污染物的释放。所以在减少外来污染的前提下,对重富营养化水体底泥进行疏浚并开展水生植被恢复工程应是控制富营养化的有效途径。     

Use of satellite imagery to assess the trophic state of Miyun Reservoir, Beijing, China

The objective of this research is to explore an appropriate way of monitoring and assessing water quality by satellite remote sensing techniques in the Miyun reservoir of Beijing, China. Two scene Thematic Mapper images in May and October of 2003 were acquired and simultaneous in situ measurements, sampling and analysis were conducted. Statistical analysis indicates that satellite-based normalized ratio vegetation index (NRVI) and in situ measured water chlorophyll a (Chl-a) concentration have very high correlation. Two linear regression models with high determination coefficients were constructed for NRVI and Chl-a of sample points. According to the modified trophic state index map, water quality in the western section of Miyun reservoir was consistently higher than in the eastern section during the two months tested. The trophic grade of the eastern reservoir remained mesotrophic with a tendency for eutrophication.     

Continuous determination of fine particulate matter mass in the Salt Lake City Environmental Monitoring project: a comparison of real-time and conventional TEOM monitor results

Fine particulate matter (PM2.5) mass was determined on a continuous basis at the Salt Lake City Environmental Protection Agency Environmental Monitoring for Public Awareness and Community Tracking monitoring site in Salt Lake City, UT, using three different monitoring techniques. Hourly averaged PM2.5 mass data were collected during two sampling periods (summer 2000 and winter 2002) using a real-time total ambient mass sampler (RAMS), sample equilibration system (SES)-tapered element oscillating microbalance (TEOM), and conventional TEOM monitor. This paper compares the results obtained from the various monitoring systems, which differ in their treatment of semivolatile material (SVM; particle-bound water, semivolatile ammonium nitrate, and semivolatile organic compounds). PM2.5 mass results obtained by the RAMS were consistently higher than those obtained by the SES-TEOM and conventional TEOM monitors because of the RAMS ability to measure semivolatile ammonium nitrate and semivolatile organic material but not particle-bound water. The SES-TEOM monitoring system was able to account for an average of 28% of the SVM, whereas the conventional TEOM monitor loses essentially all of the SVM from the single filter during sampling. Occasional mass readings by the various TEOM monitors that are higher than RAMS results may reflect particle-bound water, which, under some conditions, is measured by the TEOM but not the RAMS.     

乌梁素海沉积物孔隙水中溶解有机质的荧光及紫外光谱研究

运用紫外可见光吸收光谱与荧光光谱研究乌梁素海沉积物孔隙水中溶解有机质的来源、结构及腐殖化程度。r_(A，C)、HIX、SUVA₂₈₀和SUVA₂₅₄等被用于表征DOM的腐殖化程度和芳香构化程度及结构，f_450/500用于指示DOM的来源。研究结果表明：腐殖化程度最高的点为湖泊东部的W4样点，腐殖化程度最低的为总排干影响区域的W1样点。E_253/203表明湖泊入口处沉积物孔隙水中有机质主要为不可取代的芳香环结构。荧光指数f_450/500为1.57～1.82之间。总体而言，f_450/500的值更接近于1.6，处于2个端源中间，说明乌梁素海DOM中的腐殖质主要来源于陆源输入。相关分析的结果表明， DOM的不同来源对其腐殖化程度产生影响。随着腐殖化值的增大，DOM的来源由生物源向陆源过渡。     

An alternative approach to reconstructing organic matter accumulation with contrasting watershed disturbance histories from lake sediments

A number of proxies, including carbon to nitrogen ratio (C:N) and stable isotopes (delta(13)C and delta(15)N), have been used to reconstruct organic matter (OM) profiles from lake sediments and these proxies individually or in combination cannot clearly discriminate different sources. Here we present an alternative approach to elucidate this problem from lake sediments as a function of watershed scale land use changes. Stable isotope signatures of defined OM sources from the study watersheds, Shawnigan Lake (SHL) and Elk Lake (ELL), were compared with sedimentary proxy records. Results from this study reveal that terrestrial inputs and catchment soil coinciding with the watershed disturbances histories probably contributed in recent trophic enrichment in SHL. In contrast, cultural eutrophication in ELL was partially a result of input from catchment soil (agricultural activities) with significant input from lake primary production as well. Results were consistent in both IsoSource (IsoSource version 1.2 is a Visual Basic program used for source separation, (http://www.epa.gov/wed/pages/models/isosource/isosource.htm) and discriminant analysis (statistical classification technique).