南昌市湖泊水体中不同粒径胶体的三维荧光光谱特征研究

基于切向流超滤系统及三维荧光光谱(3D-EEM)技术,结合平行因子分析法(PARAFAC)及自组织映射神经网络(SOM),对南昌市典型湖泊水体中不同粒径胶体的荧光物质组分、来源及结构等进行分析.通过PARAFAC解谱发现,各粒径胶体主要由5种荧光组分组成,即类腐殖质组分(C1~C3)及类蛋白质组分(C4~C5).其中,类腐殖质组分主要集中在小分子量(1~10 k Da)胶体中,而类蛋白质组分则主要存在于大分子量(100 k Da~0.45μm)胶体中.同时,利用光谱指数(FI、BIX、HIX、UV254)表征胶体组分来源及其特性,结果表明,大分子量胶体以自生源为主,而小分子量胶体的腐殖化程度及芳香性更高,这与其较高比例的类腐殖质组分有关.经SOM训练,探讨了不同粒径分级胶体在SOM映射图中的分布情况,其结果与PARAFAC所得结果一致,即小分子量胶体及大分子量胶体主要分别映射于SOM的下部和上部,而类蛋白质荧光峰强度占总荧光强度的比例为自右上至左下方向递减.PARAFAC与SOM的有效结合,可为了解水体中的物质组成、掌握胶体在水环境中的环境行为及其与污染物在水体中的归趋作用提供数据支持.     

生态系统服务价值与人类活动的时空关联分析——以长江中游华阳河湖群地区为例

以1990、2002和2010年华阳河湖群地区LandSat TM影像为数据源,构建生态系统服务价值评估模型、生态系统服务价值流向损益模型和人类活动强度评估模型,应用双变量空间自相关分析生态系统服务价值和人类活动强度的时空关联特征.结果表明：1990~2010年生态系统服务价值持续减少,水域、湿地转为耕地和建设用地是价值损失的主要原因.生态系统服务价值高值区在中部和东北部水域,湖滨价值量减少最严重,北部地区价值量增加,南部减少.人类活动强度低影响区位于水域,中高影响区和中影响区交错分布于北部地区,高影响区集中在南部和西南部地区.3个时期生态系统服务价值和人类活动强度均呈空间负相关,高-低聚集分布于南部和西南部,低-高聚集主要分布于水域.     

Effectiveness of terrestrial protected areas for conservation of lake fish communities

Freshwater protected areas are rare even though freshwater ecosystems are among the most imperiled in the world. Conservation actions within terrestrial protected areas (TPAs) such as development or resource extraction regulations may spill over to benefit freshwater ecosystems within their boundaries. Using data from 175 lakes across Ontario, Canada, we compared common indicators of fish‐assemblage status (i.e., species richness, Shannon diversity index, catch per unit effort, and normalized‐length size spectrum slopes) to evaluate whether TPAs benefit lake fish assemblages. Nearest neighbor cluster analysis was used to generate pairs of lakes: inside versus outside, inside versus bordering, and bordering versus outside TPAs based on lake characteristics. The diversity and abundance indicators did not differ significantly across comparisons, but normalized‐length size spectrum slopes (NLSS) were significantly steeper in lakes outside parks. The latter indicated assemblage differences (greater abundances of small‐bodied species) and less‐efficient energy transfer through the trophic levels of assemblages outside parks. Although not significantly different, pollution‐ and turbidity‐tolerant species were more abundant outside parks, whereas 3 of the 4 pollution‐intolerant species were more abundant within parks. Twenty‐one percent of the difference in slopes was related to higher total dissolved solids concentrations and angling pressure. Our results support the hypothesis that TPAs benefit lake fish assemblages and suggest that NLSS slopes are informative indicators for aquatic protected area evaluations because they represent compositional and functional aspects of communities.     

大庆湖泊群水体和淡水鱼中多环芳烃污染特征及生态风险评估

2012年2~4月采集大庆湖泊群18个典型湖泊30个水体和36个鱼体样品,并对水体和5种鱼组织(鱼鳃、肝脏、鱼脑、肾脏和肌肉)样品中16种多环芳烃(PAHs)浓度进行分析测定.结果显示,水中PAHs总量为0.2~1.21μg·L-1,浓度最高值出现在月亮泡.利用统计学聚类分析方法对18个湖泊水体PAHs浓度进行分类,并进一步应用PAHs比值分析和物种敏感性分布模型对不同湖泊组湖泊水体PAHs分别进行来源分析和生态风险评估.结果表明,18个湖泊水体PAHs浓度统一聚类分成4个湖泊组,其中月亮泡(YLP)和东大海(DDH)两个湖泊分别单独成一类,其他14个湖泊被聚类分为XHH组和DQSK组两个湖泊组.湖泊水体中PAHs除了YLP组主要来自石油污染,其他湖泊PAHs的输入均为木柴和煤燃烧所致.根据国际和国内地表水环境质量标准,大庆湖泊群4个湖泊组水体PAHs浓度水平均有不同程度超标.其中YLP组和XHH组大部分水样中PAHs浓度超出美国环保署(US EPA)规定的16种PAHs限量值,尤其YLP组中致癌性最强的苯并[a]芘浓度已经超过了我国地表水环境质量标准;而DQSK组和DDH组也有少量几种PAHs超出水质标准.大庆湖泊群鲤鱼种和鲢鱼种5种组织器官内16种PAHs浓度检测结果及统计分析结果显示,除鲤鱼鳃中的蒽浓度显著高于鲢鱼鳃,其他15种PAHs在两类鱼种中无显著差异.而同鱼种不同组织器官中PAHs浓度存在明显差异性,肝脏和肾脏作为污染物外源传播的主要器官,其浓度明显高于肌肉、鳃和脑组织中PAHs的浓度,是PAHs在鱼体内累积的重要器官.对水生生物的生态风险和淡水鱼消费健康风险评估结果显示,4个典型湖泊组水体中PAHs对水生生物生态风险均较小,鲤鱼和鲢鱼鱼肉消费也均无饮食健康风险.     

灰色关联分析评价法在玉溪"三湖"水质评价中的应用

应用灰色关联分析评价法和叠加综合指数模型,分别对玉溪"三湖"丰水期、枯水期水质现状进行了评价.     

通江湖泊的渔业意义及其资源管理对策

长江中、下游的江湖复合生态系统包含有河流和湖泊两个环境单元。其中的鱼类群落由河海洄游鱼类、江湖洄游鱼类、河流鱼类和定居性鱼类等４个生态类群组成,尤以江湖洄游鱼类对这一特殊的生态环境形成了良好的适应,因而种群数量繁盛,从渔业的角度看,水利工程造成的江湖阻隔削弱了通江湖泊的生态功能,成为导致鱼类资源下降和种类结构改变的主要原因之一。当前应从控制捕捞、人工增殖和恢复生态环境结构等方面着手进行资源管理,确     

SEEPAGE FLOW INTO FLORIDA LAKES1

ABSTRACT: Direct measurements indicate that subsurface seepage in the littoral zone contributed 17.5 and 2.0 percent of the total hydraulic inputs, respectively, to Lakes Conway and Apopka, Florida. Two variations of seepage measuring devices were evaluated and gave relative standard deviations of 7 and 24 percent. Measurement inaccuracies were minimized by using large diameter (0.9 cm ID) plastic tubing. For a given transect perpendicular to shore, flow patterns were reproducible over time. Seepage flows ranged from 0 to 112 1/m²-day and most were between 4 and 30 1/m²-day. The detection limit was about 0.2 1/m²-day for a one-hour collection period. Seepage occured primarily within 30 m of shore and generally decreased exponentially with distance from shore. The shape of the bottom profile influenced flow patterns; lake bottoms with steeper slopes had higher flows that were compressed within a narrower zone. After a short-term rain event at Lake Conway, seepage flows increased rapidly to 2.4 times the prerain flow for 1 h and decreased to near background within about 6 h.     

LONG-TERM EQUILIBRIUM PHOSPHORUS CONCENTRATIONS IN THE EVERGLADES AS PREDICTED BY A VOLLENWEIDER-TYPE MODEL1

ABSTRACT: Anthropogenic phosphorus loading, mainly from the Everglades Agricultural Area (EAA), is believed to be the primary cause of eutrophication in the Everglades. The state of Florida has adopted a plan for addressing Everglades eutrophication problems by reducing anthropogenic phosphorus loads through the implementation of Best Management Practices (BMPs) in agricultural watersheds and the construction of stormwater treatment areas (STAs). Optimizing the effectiveness of these STAs for reducing phosphorus concentrations from agricultural runoff is a critical component of the District's comprehensive Everglades protection effort. Therefore, the objective of this study was to develop a simple tool that can be used to estimate STAs’performance and evaluate management alternatives considered in the Everglades restoration efforts. The model was tested at two south Florida wetland sites and then was used to simulate several management alternatives and predict ecosystem responses to reduced external phosphorus (P) loadings. Good agreement between model predictions at the two wetland sites and actual observations indicated that the model can be used as a management tool to predict wetlands’response to reductions in external phosphorus load and long-term P levels in aquatic ecosystems. Model results showed that lowering P content of the Everglades Protection Area (EPA) depends on reducing P loads originating from EAA discharges, not from rainfall. Assuming no action is taken (e.g., no BMPs or STAs implemented), the steady state model predicted that the average concentration within the modeled area of the marsh would reach 20 μg L^?1 within five years. With an 85 percent reduction in P loading, the steady-state model predicted that Water Conservation Area 2A (WCA-2A) P concentration will equilibrate at approximately 10 μ L^?1, while elimination of all loadings is projected to further reduce marsh P to values less than 10 μg L^?1.     

TECHNIQUES FOR DETECTING TRENDS IN LAKE WATER QUALITY1

ABSTRACT: With the advent of standards and criteria for water quality variables, there has been an increasing concern about the changes of these variables over time. Thus, sound statistical methods for determining the presence or absence of trends are needed. A Trend Detection Method is presented that provides: 1) Hypothesis Formulation - statement of the problem to be tested, 2) Data Preparation - selection of water quality variable and data, 3) Data Analysis - exploratory data analysis techniques, and 4) Statistical Tests - tests for detecting trends. The method is utilized in a stepwise fashion and is presented in a nonstatistical manner to allow use by those not well versed in statistical theory. While the emphasis herein is on lakes, the method may be adopted easily to other water bodies.     

Assessing Potential for Recovery of Biotic Richness and Indicator Species due to Changes in Acidic Deposition and Lake ph in Five Areas of Southeastern Canada

Biological damage to sensitive aquatic ecosystems is among the most recognisable, deleterious effects of acidic deposition. We compiled a large spatial database of over 2000 waterbodies across southeastern Canada from various federal, provincial and academic sources. Data for zooplankton, fish, macroinvertebrate (benthos) and loon species richness and occurrence were used to construct statistical models for lakes with varying pH, dissolved organic carbon content and lake size. pH changes, as described and predicted using the Integrated Assessment Model (Lam et al., 1998; Jeffries et al., 2000), were based on the range of emission reductions set forth in the Canada/US Air Quality Agreement (AQA). The scenarios tested include 1983, 1990, 1994 and 2010 sulphate deposition levels. Biotic models were developed for five regions in southeastern Canada (Algoma, Muskoka, and Sudbury, Ontario, southcentral Québec, and Kejimkujik, Nova Scotia) using regression tree, multiple linear regression and logistic regression analyses to make predictions about recovery after emission reductions. The analyses produced different indicator species in different regions, although some species showed consistent trends across regions. Generally, the greatest predicted recovery occurred during the final phase of emission reductions between 1994 and 2010 across all taxonomic groups and regions. The Ontario regions, on average, were predicted to recover to a greater extent than either southcentral Québec or the Kejimkujik area of Nova Scotia. Our results reconfirm that pH 5.5–6.0 is an important threshold below which damage to aquatic biota will remain a major local and regional environmental problem. This damage to biodiversity across trophic levels will persist well into the future if no further reductions in sulphate deposition are implemented.