江苏地表水体大型底栖无脊椎动物生物多样性状况研究

大型底栖无脊椎动物群落结构与水体水质和水生态系统健康状况关系密切,其受外界干扰后群落结构的变化趋势可以反映水体受污染的性质和程度。2008年,对江苏省主要饮用水源地,长江、京杭大运河等主要河流及太湖等重点湖泊开展底栖动物调查与评价研究,共设置调查点位154个。江苏主要饮用水源地底栖动物的物种数量为78种,主要河流发现底栖动物96种,主要湖泊底栖动物发现65种。从物种多样性指数评价结果看,主要湖泊的底栖生物多样性状况优于地表水源地和主要河流,丰富和较丰富所占比例合计达58%;主要河流的评价结果最差,丰富和较丰富所占比例合计仅达30.7%,存在11.3%物种多样性极贫乏的点位,且大部分水体底栖动物组成以耐污种为主,优势种为极耐污的霍甫水丝蚓,水质状况劣于饮用水源地和主要湖泊。     

松花江底栖动物分布规律及与理化评价差异研究

2012—2015年对松花江干流11个断面21个点位进行底栖动物群落监测,在7种单一指数评价的基础上运用简单的叠加法进行综合评价,并与常规理化监测与评价进行了比较。结果显示,与2012年相比,2013年松花江干流底栖动物物种较丰富,各点位评价结果有所提升;2015年摆渡镇-同江段多为清洁等级,水环境生态质量稳中趋好,下游改善明显。结果显示,生物学评价与理化评价存在明显的差异,在水质改善的过程中生物学评价更灵敏、更显著。     

基于底栖动物完整性指数的常州武南区域水生态健康评价

通过2018年对常州市武南区域26个点位的水质和底栖动物的调查及分析,并基于底栖动物完整性指数（B-IBI）对该区域水生态健康状况进行评价。结果表明：武南区域中部及京杭运河以北氮、磷污染严重。该区域共发现底栖动物78种,隶属3门7纲21目36科62属,物种数和个体密度均表现出显著的时空变化性,耐污种霍普水丝蚓（Limnodrilus hoffmeisteri）为优势种。该区域水生态健康评价等级以一般和中为主。B-IBI与TN、TP存在显著相关性,NH3-N与底栖动物的群落结构显著相关。氮、磷污染是影响底栖动物多样性及水生态健康评价等级提升的重要因素。     

流溪河大型底栖动物群落结构及其影响因素

为了探究流溪河大型底栖动物的群落结构特征和关键影响因素,于2016年4月(平水期)、7月(丰水期)和11月(枯水期)对流溪河的14个采样断面进行了生态调查,共鉴定出133种大型底栖动物,隶属于55科127属。大型底栖动物平均密度和生物量分别为213 ind./m²和20.02 g/m²,寡毛类和水生昆虫的密度占优势,软体动物的生物量占优势。此外,结果表明流溪河大型底栖动物群落结构具有明显的时空变化。在空间方面,从上游至下游大型底栖动物种类数呈现逐渐减少的趋势,并且支流的大型底栖动物种类数高于干流；从上游至下游大型底栖动物密度和生物量变化无规律,支流大型底栖动物的密度明显高于干流,而生物量却明显低于干流；上游的大型底栖动物Shannon-Wiener多样性指数和Margalef丰富度指数均高于下游,支流的大型底栖动物Shannon-Wiener多样性指数和Margalef丰富度指数均高于干流,而Pielou均匀度指数是支流低于干流。在时间方面,平水期至枯水期大型底栖动物种类数呈现逐渐增加的趋势；密度分布为平水期＞枯水期＞丰水期,生物量分布规律与密度相似；Shannon-Wiener多样性指数和Margalef丰富度指数均为枯水期最高,平水期最低。流溪河大型底栖动物群落可划分为干流群落和支流群落,群落间物种组成存在显著性差异。综上结果表明:流溪河支流大型底栖动物群落结构较干游更加稳定,下游断面群落受到了较大程度的干扰,生态环境质量状况较差,影响大型底栖动物群落结构的主要因素为有机质、总磷和溶解氧。     

长江干流南京段底栖动物群落特征及环境因子相关性研究

于2019-2021年春、秋季在长江干流南京段设置6个调查点位对水体理化因子、底栖动物群落特征开展调查研究。采用典范对应分析方法(CCA)分析了底栖动物与环境因子的响应关系。结果表明,共检出35种底栖动物,分属3门6纲12目19科30属,昆虫纲为优势纲。各监测点位的底栖动物检出种类数相差较大,最多检出21种,最少检出11种。春季优势种为霍甫水丝蚓,秋季优势种为齿吻沙蚕。底栖动物物种密度为2~176个/m^(2),春季的底栖动物平均密度(139个/m^(2))略高于秋季(125个/m^(2)),底栖动物平均密度年度排序为:2019年>2020年>2021年。各监测点位的香农威纳(Shannon-Wiener)多样性指数为2.9~3.5,水质状况处于良好和优秀之间。CCA分析结果表明,高锰酸盐指数和溶解氧对南京段底栖动物群落结构物种时空分布影响较大且大部分群落特征物种分布在含氮营养盐较低的水域,高浓度的含氮营养盐已经对南京段底栖动物产生了负面影响。     

辽宁大伙房水库水质生态学监测的研究

1961～1996年对大伙房水库6个站进行了不同季节浮游植物、底栖动物群落特征的生态调查.共发现藻类8门,174种,底栖动物34种,分析了水生生物种类组成,数量变化和生物演替.水质生态学评价结果表明,大伙房水库只受到轻度污染,水质等级为2级.     

京杭运河江苏段底栖动物群落结构调查

通过2018年5月在京杭运河江苏段布设23个采样点调查底栖动物群落结构和生境状况,并用Shannon-Wiener多样性指数评价底栖动物多样性,用聚类法分析采样点底栖动物群落结构相似性,用ANOSIM分析检验聚类组差异性,用SIMPER对聚类组作主要特征物种分析。结果显示:23个采样点共采集底栖动物42种,其中甲壳纲4种、软体动物16种、多毛纲2种、蛭纲2种、昆虫纲4种(均为摇蚊类)、寡毛纲14种。聚类分析将23个采样点分成4组,ANOSIM分析检验表明各聚类组底栖动物群落结构具有显著差异(p<0.05),底质类型和水生植被等生境状况是影响京杭运河江苏段底栖动物群落结构的重要原因。     

华北稳定塘底栖大型无脊椎动物与污水处理效能关系的研究

本文以华北稳定塘的七个子塘为对象,采用底泥法和人工基质法对底栖大型无脊椎动物与污水处理效能关系进行研究。发现厌氧塘和兼性塘内不存在底栖大型无脊椎动物,从好氧塘1到强化塘出现了以摇蚊幼虫为主的底栖大型无脊椎动物,其数量随着污水不断净化而不断增加。底栖大型无脊椎动物种群、数量变化较好地反映了水质变化     

浑河源区水生生物与水质评价

对浑河源区的浮游植物、原生动物、轮虫、底栖动物、鱼类和水生维管束植物调查发现 :源区水生物种类绝大多数为贫营养型清水指示种类。数量明显少于下游。源区水质优良 ,水质基本处于自然状态     

城镇化对西苕溪大型底栖动物群落的影响

于2004—2010年5月对西苕溪流域20个参照点,5个中度干扰点以及2个重度干扰点的底栖动物进行了调查,共鉴定出74科190属226个种;受干扰后,底栖动物群落物种丰富度、EPT物种丰富度、Shannon-wiener多样性指数和B-IBI指数显著下降,BI指数显著升高。CCA分析结果表明,参照、中度和重点干扰样点的底栖动物群落差异明显。城镇化引起的溪流水温上升、营养盐升高、泥沙输入量增多和堤岸固化是导致溪流底栖动物群落退化的主要原因。     

京杭运河(苏州段)水质急性综合毒性研究

从2009年3月至2010年10月对京杭运河(苏州段)的4个监测断面进行了水质急性综合毒性和地表水主要理化项目的调查,结果表明:京杭运河(苏州段)水质急性综合毒性基本处在低毒水平,各断面基本呈现水质急性毒性水平枯水期>平水期>丰水期的规律,水质急性综合毒性测定结果基本与同步理化监测结果一致。     

基于鱼类生物完整性指数的上海苏州河水生态系统健康评价

苏州河横贯上海中心城区，曾是都市污染河流。为从生态学角度揭示苏州河的污染程度，笔者采用鱼类生物完整性指数（F-IBI）评价了苏州河水生态系统的健康状况。分别于2019年6月4—23日（夏季）和9月14—26日（秋季），租用专业渔船在苏州河13个断面采集样本，共采集到10 102尾鱼类，隶属于8目15科37属45种。以大莲湖为参照点，通过判别分析和关联度筛选，从5大类29个初选指标中筛选出10个指标，构建了苏州河F-IBI评价指标体系。分析结果表明：夏季干流上游的5个断面状况为"极好"或"好"，支流3个断面为"好"或"一般"，而干流下游的5个断面则为"差"或"极差"。秋季干流上游5个断面和支流3个断面与夏季的健康状况相似，下游断面则有所改善，仅武宁路桥为"极差"，其余均为"一般"或"差"。研究显示苏州河上游干流的水生态系统已基本恢复，而上游支流和下游干流还未建立健康稳定的水生态系统。建议苏州河环境综合整治第四期工程要更加注重治理岸上的污染源，同步实施干支流水系的污染治理，定期开展城区段淤泥清理，实施岸线的生态化改造。     

Effects of anthropogenic activities on chemical contamination within the Grand Canal, China

Contamination of nutrients and heavy metals within aquatic system is of great concern due to its potential impact on human and animal health. The Grand Canal of China, the largest artificial river in the world, is of great importance in supplying water resource, transporting cargo, and recreating resident, as well as great historical heritage. This study assessed and examined the impact of human activities on characters of contamination distribution within the section of the Canal in Taihu watershed. Physicochemical parameters of surface water quality were determined monthly from the year 2004 to 2006 at 11 sites that were influenced by different anthropogenic activities along the Canal. Moreover, contaminations at surface sediments (20 cm) at the same locations were also analyzed in September 2006. Results showed that the Canal had been seriously polluted, which was characterized with high spatial variations in contaminations distribution. The sites influenced mainly by industry and urbanization showed higher contents of nutrients and lower levels of dissolve oxygen than other sites. Concentrations of nitrogen at all studied sites exceeded the worst level of surface water quality according to the National Criterion of Surface Water Quality, China, with the average values varying from 2.27 to 10.34 mg/L. Furthermore, the site influenced mainly by industry (i.e., Site 4) presented the highest contents of cadmium (3.453 mg/kg), chromium (196.87 mg/kg), nickel (87.12 mg/kg), zinc (381.8 mg/kg), and copper (357.32 mg/kg). While sites in vicinity to cities had presented relatively higher contents of metals, especially for the site located downstream of Changzhou City (Site 3) had presented the highest contents of mercury (1.64 mg/kg) and lead (197.62 mg/kg). Copper at Sites 2 to 6, Nickel at Sites 2 to 9 except for Site 7, chromium, lead, and zinc at Sites 3 to 6 had exceeded New York State Department of Environmental Conservation (NYSDEC) Severe Effect Level (SEL). By multivariate statistical, nutrient variables, companied with V-phen, had contributed the most variation of water quality, while nutrient and metals had explained the most part of total variance of contaminations in sediment. This study indicated that the canal had been polluted severely and urgently need to control.     

Analysis of long-term water quality for effective river health monitoring in peri-urban landscapes—a case study of the Hawkesbury–Nepean river system in NSW, Australia

The Hawkesbury–Nepean River (HNR) system in South-Eastern Australia is the main source of water supply for the Sydney Metropolitan area and is one of the more complex river systems due to the influence of urbanisation and other activities in the peri-urban landscape through which it flows. The long-term monitoring of river water quality is likely to suffer from data gaps due to funding cuts, changes in priority and related reasons. Nevertheless, we need to assess river health based on the available information. In this study, we demonstrated how the Factor Analysis (FA), Hierarchical Agglomerative Cluster Analysis (HACA) and Trend Analysis (TA) can be applied to evaluate long-term historic data sets. Six water quality parameters, viz., temperature, chlorophyll-a, dissolved oxygen, oxides of nitrogen, suspended solids and reactive silicates, measured at weekly intervals between 1985 and 2008 at 12 monitoring stations located along the 300 km length of the HNR system were evaluated to understand the human and natural influences on the river system in a peri-urban landscape. The application of FA extracted three latent factors which explained more than 70 % of the total variance of the data and related to the ‘bio-geographical’, ‘natural’ and ‘nutrient pollutant’ dimensions of the HNR system. The bio-geographical and nutrient pollution factors more likely related to the direct influence of changes and activities of peri-urban natures and accounted for approximately 50 % of variability in water quality. The application of HACA indicated two major clusters representing clean and polluted zones of the river. On the spatial scale, one cluster was represented by the upper and lower sections of the river (clean zone) and accounted for approximately 158 km of the river. The other cluster was represented by the middle section (polluted zone) with a length of approximately 98 km. Trend Analysis indicated how the point sources influence river water quality on spatio-temporal scales, taking into account the various effects of nutrient and other pollutant loads from sewerage effluents, agriculture and other point and non-point sources along the river and major tributaries of the HNR. Over the past 26 years, water temperature has significantly increased while suspended solids have significantly decreased (p?<?0.05). The analysis of water quality data through FA, HACA and TA helped to characterise the key sections and cluster the key water quality variables of the HNR system. The insights gained from this study have the potential to improve the effectiveness of river health-monitoring programs in terms of cost, time and effort, particularly in a peri-urban context.     

2016—2021年上海市杨浦区黄浦江流域水质变化与污染特征分析

为全面了解并跟踪上海市杨浦区黄浦江流域的水质情况，于2016年1月—2021年12月对杨浦区黄浦江流域的6个监测断面的地表水质量进行调查。采用单因子污染指数分析法和水质综合污染指数分析法，探究了杨浦区内黄浦江流域水质的污染变化特征。结果表明，自2017年杨浦区开展河道整治以来，流域总体水质明显改善，出口水质从重度污染提升到良好水平；居民区密集的虬江断面水质相对较差，后续需加强对虬江流域的污染排放管理；水质污染特征分析结果发现河道的主要污染物种类从氨氮（NH₃-N）转换为总磷(TP)，说明河道整治提升了河道的自净能力，水质改善效果显著；水质在非汛期优于汛期，气温、降雨、泵站放江和污水排放是影响水质的主要原因。     

河流生态环境健康评价技术体系构建及应用

科学合理的河流生态环境健康评价体系不仅能够客观真实地反映河流的生态环境状况，还能为河流管理者提供决策依据，指明管理方向。基于国内外河流健康评价经验，构建了以水环境、水生态和水资源“三水”为系统层，包含水质、富营养化、水生生物、生境状况和水资源5个指标层的河流生态环境健康评价体系。将层次分析法和综合评估方法相结合，计算河流健康得分。以大运河(天津段)为例，评价结果显示，大运河(天津段)总体评价结果为中等水平。该评价体系考虑了多项影响河流生态功能的指标，能够客观真实地反映河流生态健康状况，同时能够为河流管理提供基础数据和决策依据。     

Sensitivity Analysis and Water Quality Modeling of a Tidal River Using a Modified Streeter–Phelps Equation with HEC-RAS-Calculated Hydraulic Characteristics

A modified Streeter–Phelps equation and the Hydrological Engineering Centers River Analysis System (HEC-RAS) were combined to assess water quality of the Tan-Sui River and its tributaries. The Tan-Sui River is the main source of water supply for northern Taiwan, and the water quality of its stream is significantly affected by tides. In this study, HEC-RAS was employed to assess the impact of tides on water quality and to calculate reoxygenation coefficients. The modified Streeter–Phelps equation was used to calculate water quality in terms of contaminant degradation and reoxygenation. Biochemical oxygen demand (BOD) and ammonia nitrogen (NH₃–N), the most important identified sources of water pollution in the rivers investigated, were evaluated. Dissolved oxygen (DO) was also simulated, since it is often used as a staple of water quality. Results showed that employing HEC-RAS for hydraulic calculations improves the modified Streeter–Phelps simulation. In river sections without tidal influence, water quality was sensitive to the BOD and NH₃–N degradation constants. Downstream of Chin-Mei Creek, while the BOD degradation constant decreased by 80%, BOD and DO concentrations increased from 7.1?mg/L to 10.7?mg/L and 5.0?mg/L to 7.2?mg/L, respectively, indicating that water quality was not as sensitive to variations of the BOD degradation constant as expected. The concentrations of DO and BOD at the river mouth had a significant impact on water quality for the tidal sections of the investigated rivers due to mixing of tidal and river waters. The BOD and NH₃–N degradation constants in the tidal sections had little impact on water quality simulations. This study demonstrated the innovative combination of the modified Streeter–Phelps equation and HEC-RAS to assess the impact of tidal variation and to simulate the water quality of a tidal river when available data is rather limited.     

汉江下游干支流浮游植物群落特征及其对水质的指示评价

浮游植物群落的动态变化可以全面、真实地反映水质的优劣,有利于了解水体污染状况的发展趋势.为及时掌握汉江下游水质变化,基于2019年3—12月汉江下游干流及主要支流浮游植物和水体理化指标监测数据,分析了浮游植物群落结构特征,并通过冗余分析研究了影响浮游植物群落结构的主要环境因子,同时运用浮游植物群落特征对汉江下游水质进行...     

Assessing the health of an urban stream: a case study of Suzhou Creek in Shanghai, China

Restoration of urban streams and rivers has increased rapidly in developing countries in recent years. Estimating river health provides a new perspective on evaluating the ecological conditions of streams and rivers. The Suzhou Creek restoration project in Shanghai, China is a milestone for environmental protection. Based on the environmental and ecological data, including 17 indicators in five categories, collected from March 11 to April 20, 2007, the river health index (RHI) for Suzhou Creek was constructed and analysed to quantify the ecosystem of this urban river after a restoration project. The RHI scores of 34 sites ranged from 19.24 to 33.36, i.e. from poor to good. There were no significant RHI differences among stream orders, while differences in land use resulted in significant differences in channel flow status (B12), channel alteration (B21), channel sinuosity (B22), bank stability (B23), bank profile type (B25) and riparian vegetative zone width (B31). River restoration led to improved hydrological condition and channel physical form, while ammonia nitrogen (B44) and indicator scores of the presence of macro-invertebrate families (B51) were the lowest of any indicator. This case study supports the use of river health assessment as a supplement to water quality analysis in China.