漓江桂林市区段浮游藻类群落调查

对漓江流经桂林市区段的4个采样点的浮游藻类进行了调查分析，鉴定出浮游藻类共计7门51属，种类数以绿藻门最多，其次为硅藻门，这2类藻类组成占漓江藻类总数的70%左右。各采样点藻类组成丰富性从北至南逐渐降低。数量上以硅藻门为优势种群，枯水期以绿藻门为优势种群，藻类数量增多，漓江流域常年以舟形藻、异极藻、针杆藻为优势类群，2-3月随着气温回升，绿藻门的角星鼓藻属明显增多。除枯水期外漓江藻类变化不是很明显。数量稳定在1.0×10⁴~1.4×10⁴个/L，枯水期可达到1.4×10⁶个/L。总体来看漓江除冬季枯水期外其余时间水质较好，属于贫营养化到中度营养化水体。     

冰封期呼伦湖浮游藻类群落结构及其与水环境因子的关系

为探讨冰封状态下呼伦湖的水生态系统演变过程,2015年12月—2016年3月环湖设置6个采样点进行浮游藻类及湖水水质的监测。浮游藻类以绿藻门Chlorophyta种类最多(52.5%),其次为硅藻门Bacillariophyta(29.8%),蓝藻门Cyanophyta(10.5%)。物种丰富度和3种生物多样性指数(Shannon-Wiener多样性指数、Margalef丰富度指数、Pielou均匀度指数)从12月至次年3月呈下降趋势。浮游藻类丰度自12月至次年3月呈现上升趋势。典范对应分析(CCA)排序结果表明:NH₃-N、TN、TP、电导率、DO、BOD₅、CODMn和pH是影响呼伦湖浮游藻类群落结构特征的主要环境因子,其中,NH₃-N、TN和TP分别对硅藻门、绿藻门和蓝藻门的影响较大。     

淮河流域淮安段着生藻类群落结构特征分析

于2021年5月对淮安境内淮河主要干支流8个点位的水质状况和着生藻类群落结构采样调查，应用3种多样性指数模型评价区域水生态健康状况，并探究影响着生藻类多样性的因素。结果表明：采样期间淮河流域淮安市域共检出着生藻类3门23科32属（种），由硅藻门、蓝藻门和绿藻门组成，硅藻门占绝对优势；多样性指数计算结果显示，流域水生态状况良好，整体表现为清洁-轻污型水体，淮河上游水质稍差于其他水域；结合水质监测数据与卫星遥感影像分析，认为生境状况是影响着生藻类群落分布的主要因素。     

万峰湖水体浮游植物调查及富营养化评价

通过2016年枯水期和丰水期对万峰湖水库浮游植物及水质理化指标采样分析,并应用综合营养状态指数对其水质营养状态进行评价。结果表明,万峰湖枯水期主要以硅藻为主,丰水期以绿藻和甲藻占优势;水体水质处于中营养化状态。相关性分析表明,浮游植物丰度在枯水期与各理化指标相关性不显著,在丰水期与DO、TP呈正相关,与IMn、Chla呈显著正相关。典范对应分析(CCA)表明,TN、SD和pH值是影响该水域浮游植物分布格局的重要因子,且CCA排序图较好显示了浮游植物分布和环境因子之间的关系。     

鄱阳湖浮游藻类群落特征及与环境因子典范对应分析

通过2018—2019年夏冬季在鄱阳湖布设17个采样点,采样检测浮游藻类和水质参数,并采用典范对应分析法研究该湖浮游藻类群落结构特征及其与环境因子的相互关系。结果表明,两次调查共检测出浮游藻类7门31科58属,浮游藻类丰度范围为3.5×105 L-1～1.15×107 L-1,主要由绿藻门、硅藻门和蓝藻门组成,绿藻门为夏、冬季主要优势种群。典范对应分析结果显示,鄱阳湖冬季湖区水环境空间差异较大,而夏季差异较小;夏季氮磷营养盐和DO是影响浮游藻类群落时空分布的主要环境因子,冬季氮磷营养盐、BOD5和IMn是影响浮游藻类群落时空分布的主要环境因子。     

长兴入太湖河网水文变化特征与水质时空差异

以长兴县入太湖的泗安塘-合溪-乌溪河网为研究对象，将入湖河网划分为水源区、河网区、西苕溪区和入湖区，于2018年8月和2019年1月分别对长兴县入太湖河网丰水期和枯水期的水质状况进行了调查，采用空间聚类法、水质标识指数对水质的时空分布进行评价。结果表明，长兴入太湖河网不同片区氨氮（NH₃-N）和总氮（TN）的质量浓度平均值呈现枯水期较丰水期高的特征，而高锰酸盐指数（COD_Mn）和总磷（TP）则呈现丰水期较枯水期高的特征。空间聚类分析结果表明，水质指标分布具有明显的空间差异性，呈现水源区>西苕溪区>河网区>入湖区的分布特征，入湖区是污染物聚集的主要区域。综合水质标识指数分析结果表明，长兴入太湖河网主要以Ⅱ类和Ⅲ类水为主；单因子水质标识指数分析结果表明，溶解氧（DO）、COD_Mn、NH₃-N、TP指标均优于Ⅲ类水标准，TN是入太湖河网的特征污染物，且在丰水期和枯水期质量浓度平均值分别达到2.24,3.49 mg/L。因此，进一步削减氮污染是缓解其河网富营养化的关键。     

赣江主要河流丰水期-枯水期氮磷营养盐分布特征

对2006—2019年赣江水体及水库丰水期-枯水期的总氮(TN)、氨氮(NH₃-N)、硝态氮(NO^-₃-N)和总磷(TP)浓度变化和分布特征进行分析。将赣江按河谷地形和河道特征划分为上游、中游、下游3段；根据水流来源将赣江划分为章水、桃江、湘水、贡水、泸江、赣江干流。结果显示：桃江TN质量浓度在2011年枯水期取得最大值8.26 mg/L;章水TP质量浓度在2007年枯水期取得最大值0.18 mg/L,整个赣江丰水期-枯水期的TP质量浓度在0.02～0.18 mg/L范围内浮动，变化幅度较小；章水NH₃-N浓度在2008年枯水期取得最大值1.86 mg/L,而在2017—2019年NH₃-N的浓度基本处于0.5 mg/L以内，达到《地表水环境质量标准》(GB 3838—2002)Ⅲ类水质标准。万安水库和峡江水库对总氮的滞留率，丰水期分别为24.26%、17.44%,枯水期分别为21.36%、16.60%;对总磷的滞留率，丰水期分别为24.78%、19.05%,枯水期分别为33....     

徐州九里湖沉水植物对富营养化湖泊的生态改善作用

为探究沉水植物对富营养化湖泊的生态改善作用，于2021年9月—2022年8月对徐州九里湖有、无沉水植物区的水质、沉积物磷形态、浮游植物群落分别进行监测。结果表明，九里湖沉水植物能够增加水体的透明度（SD）和溶解氧（DO），对总氮（TN）有一定程度的削减作用，对总磷（TP）、氨氮（NH₃-N）和浊度（TUB）的改善效果最明显，能够有效降低九里湖的富营养化水平。九里湖沉积物中无机磷（IP）对TP含量的贡献最大，占比为64.2%～93.2%。IP当中的盐酸提取磷（HCl-P）占绝对优势。有沉水植物区沉积物中TP和有机磷（OP）含量整体略高于无沉水植物区，说明沉水植物对上覆水中的磷元素沉降有一定的促进作用。九里湖全年共监测到浮游植物7门63属93种，群落密度为2.94×10⁶～7.0×10⁷个/L。除水温较低的1—4月外，蓝藻门中的假鱼腥藻（Pseudanahaena sp.）是其中的优势种。低温情况下，浮游植物密度整体大幅降低，但是绿藻门和硅藻门占比明显提升。沉水植物对浮游植物生长具有很好的抑制作用。香农-维纳（Shannon Wiener）多样性指数结果表明，沉水植物对浮游植物多样性有降低作用。     

金海水库夏季浮游植物群落结构与水质调查

2012年夏季对金海水库水体物理和化学指标和浮游植物的群落结构组成进行了调查。结果表明，水库整体水质状态较为良好,金海水库夏季综合营养状态指数为42.34，水库水体在一定程度上已经呈现中营养水平向轻度富营养化转化的趋势。通过夏季对金海水库浮游植物的调查，共检出浮游植物27种，其中绿藻门14种，硅藻门7种，甲藻门2种，蓝藻门2种，裸藻门2种。优势种属为绿藻门和硅藻门，其中绿藻门的种类和数量均居于首位。     

西安市景观水体营养状态调查及浮游藻类多样性研究

对西安市城区景观水体浮游藻类状况及生物多样性进行了研究。结果表明,7个景观水体中有5个水体的水质未达到Ⅴ类水质标准,主要超标项目为pH值和TN;7个水体的ρ(N)/ρ(P)为16.6~43.6,磷为限制性因子;其中2个水体富营养化严重,DO含量低,水质达不到要求,其优势藻种为蓝藻门,含量占浮游藻类总数的64.3%~93.4%;而水质较好的贫营养水体优势种为黄藻门,含量占到浮游藻类总数的54.3%;通过6种生物多样性指数与景观水体营养状态的拟合,发现MeNaughton's多样性指数适合城区景观水体的富营养化评价。     

The impact of traditional coffee processing on river water quality in Ethiopia and the urgency of adopting sound environmental practices

Although waste from coffee processing is a valuable resource to make biogas, compost, and nutrient-rich animal food, it is usually dumped into nearby water courses. We carried out water quality assessment at 44 sampling sites along 18 rivers that receive untreated waste from 23 coffee pulping and processing plants in Jimma Zone, Ethiopia. Twenty upstream sampling sites free from coffee waste impact served as control, and 24 downstream sampling sites affected by coffee waste were selected for comparison. Physicochemical and biological results revealed a significant river water quality deterioration as a result of disposing untreated coffee waste into running water courses. During coffee-processing (wet) season, the highest organic load (1,900?mg/l), measured as biochemical oxygen demand, depleted dissolved oxygen (DO) to a level less than 0.01?mg/l, and thus curtailed nitrification. During off season, oxygen started to recuperate and augmented nitrification. The shift from significantly elevated organic load and reduced DO in the wet season to increased nitrate in the off season was found to be the determining factor for the difference in macroinvertebrate community structure as verified by ordination analysis. Macroinvertebrate diversity was significantly reduced in impacted sites during the wet season contrary to the off season. However, there was a significant difference in the ratio of sensitive to pollution-tolerant taxa in the off season, which remained depreciated in the longer term. This study highlights the urgency of research exploring on the feasibility of adopting appropriate pollution abatement technologies to implement ecologically sound coffee-processing systems in coffee-growing regions of Ethiopia.     

Multivariate statistical techniques for the assessment of seasonal variations in surface water quality of pasture ecosystems

This study investigates the applicability of multivariate statistical techniques including cluster analysis (CA), discriminant analysis (DA), and factor analysis (FA) for the assessment of seasonal variations in the surface water quality of tropical pastures. The study was carried out in the TPU catchment, Kuala Lumpur, Malaysia. The dataset consisted of 1-year monitoring of 14 parameters at six sampling sites. The CA yielded two groups of similarity between the sampling sites, i.e., less polluted (LP) and moderately polluted (MP) at temporal scale. Fecal coliform (FC), NO₃, DO, and pH were significantly related to the stream grouping in the dry season, whereas NH₃, BOD, Escherichia coli, and FC were significantly related to the stream grouping in the rainy season. The best predictors for distinguishing clusters in temporal scale were FC, NH₃, and E. coli, respectively. FC, E. coli, and BOD with strong positive loadings were introduced as the first varifactors in the dry season which indicates the biological source of variability. EC with a strong positive loading and DO with a strong negative loading were introduced as the first varifactors in the rainy season, which represents the physiochemical source of variability. Multivariate statistical techniques were effective analytical techniques for classification and processing of large datasets of water quality and the identification of major sources of water pollution in tropical pastures.     

沙颍河流域抗生素污染特征与生态风险评价

于2018年7月 (丰水期)、11月 (枯水期) 和2019年3月(平水期)对沙颍河流域5种抗生素磺胺吡啶(SPD)、磺胺氯哒嗪(SCP)、磺胺嘧啶(SDZ)、环丙沙星(CIP)和四环素(TCL)的污染状况和空间分布进行了研究，并对其生态风险进行了评价。结果表明，沙颍河流域5种抗生素在丰水期、枯水期和平水期均有检出，丰水期CIP、枯水期SPD和SDZ以及平水期SCP的检出率均>50%，平水期SCP的检出率最高达到70.97%，CIP在丰水期的检出值最高(655 ng/L)，5种抗生素累积浓度为：丰水期>平水期>枯水期。对比国内其他地区水体环境，沙颍河流域5种抗生素浓度总体处于一般水平，但丰水期CIP检出浓度较高。相关性分析显示抗生素浓度与水质参数硬度、NH₃-N和电导率显著相关。5种抗生素的水生态风险为：丰水期>枯水期>平水期，其中CIP和TCL均为高风险。提出，应加强监测评估与预警管理，有效控制其水生态风险。     

丹江口水库流域氮素时空分布特征

为全面了解丹江口水库流域氮素污染状况,对库区26个点位及10条主要入库河流入库口处的表层水样进行了丰水期、平水期、枯水期采样与监测,探讨了氮素时空分布特征。入库口总氮检出范围为1.31~10.96 mg/L,其中泗河和神定河入库口总氮最高。总氮为库区水质主要限制因子,年均总氮质量浓度为1.13~2.71 mg/L;汉江库区整体上总氮污染水平略高于丹江库区,且与丹江库区相比,汉江库区受点源排放的影响较大。10条入库河流总氮的总年均输入量为63 347.31 t/a,其中汉江的总氮输入量最大;入库河流总氮控制的关键在于溶解性有机氮和硝酸盐氮的控制。     

Organochlorine pesticide residues in Songkla Lake

The water quality of Songkla Lake for organochlorine (OC) pesticide contamination was studied from chosen sampling sites (stations) using the lakes geographic data and pollution sources. The water samples were collected monthly from 13 stations in Songkla Lake during September 1991–November 1992. The OC pesticide residues found were Heptachlor, Heptachlor Epoxide, DDD, DDE, DDT and Aldrin in the range 0–0.5690 ppm. This study showed that DDT and its metabolite products (DDD and DDE) dominated OC pesticide residues in the lake. The concentration of OC residues also depended on the season, i.e. at some sampling stations the concentration of OC residues in the dry season (July–September) were higher than in the wet season (October–January).     

Effects of land use types on surface water quality across an anthropogenic disturbance gradient in the upper reach of the Hun River, Northeast China

Surface water quality is vulnerable to pollution due to human activities. The upper reach of the Hun River is an important water source that supplies 52 % of the storage capacity of the Dahuofang Reservoir, the largest reservoir for drinking water in Northeast China, which is suffering from various human-induced changes in land use, including deforestation, reclamation/farming, urbanization and mine exploitation. To investigate the impacts of land use types on surface water quality across an anthropogenic disturbance gradient at a local scale, 11 physicochemical parameters (pH, dissolved oxygen [DO], turbidity, oxygen redox potential, conductivity, biochemical oxygen demand [BOD₅], chemical oxygen demand [COD], total nitrogen [TN], total phosphorus [TP], NO ₃ ^? -N, and NH ₄ ⁺ -N) of water from 12 sampling sites along the upper reach of the Hun River were monitored monthly during 2009–2010. The sampling sites were classified into four groups (natural, near-natural, more disturbed, and seriously disturbed). The water quality exhibited distinct spatial and temporal characteristics; conductivity, TN, and NO ₃ ^? -N were identified as key parameters indicating the water quality variance. The forest and farmland cover types played significant roles in determining the surface water quality during the low-flow, high-flow, and mean-flow periods based on the results of a stepwise linear regression. These results may provide incentive for the local government to consider sustainable land use practices for water conservation.     

西湖与青山水库底栖动物群落的研究

通过对杭州市的两个主要水体西湖和青山水库的底栖动物群落包括种类组成、优势种群、生物量等的比较研究。西湖和青山水库底栖动物群落主要由寡毛类和摇蚊幼虫组成 ,存在适应低溶氧、耐有机污染的种群。从底栖动物群落生态学角度评价了西湖和青山水库水体的营养化程度。     

Application of multivariate statistical techniques in the assessment of water quality in the Southwest New Territories and Kowloon, Hong Kong

The application of different multivariate statistical techniques for the interpretation of a complex data matrix obtained during 2000?C2007 from the watercourses in the Southwest New Territories and Kowloon, Hong Kong was presented in this study. The data set consisted of the analytical results of 23 parameters measured monthly at 16 different sampling sites. Hierarchical cluster analysis grouped the 12 months into two periods and the 16 sampling sites into three groups based on similarity in water quality characteristics. Discriminant analysis (DA) provided better results both temporally and spatially. DA also offered an important data reduction as it only used four parameters for temporal analysis, affording 84.2% correct assignations, and eight parameters for spatial analysis, affording 96.1% correct assignations. Principal component analysis/factor analysis identified four latent factors standing for organic pollution, industrial pollution, nonpoint pollution, and fecal pollution, respectively. KN1, KN4, KN5, and KN7 were greatly affected by organic pollution, industrial pollution, and nonpoint pollution. The main pollution sources of TN1 and TN2 were organic pollution and nonpoint pollution, respectively. Industrial pollution had high effect on TN3, TN4, TN5, and TN6.     

北方缓流水体水质在线自动监测系统采样口的设计思考

以DO作为水体的污染指标来判定水质类别存在一定的缺陷,北方缓流水体在不同季节常存在不同的DO分层现象,现设在河床底以上0.5米处的自动监测采样口设计缺少科学性。在叙述缓流水体DO特点的同时,介绍一种新的水质在线自动监测采样口的方案,便于类似水体水质自动监测设计中借鉴。