钦州湾近岸海域水质状况及富营养化分析

2012年5月钦州湾近岸海域水质监测结果表明,钦州湾近岸水温、盐度、pH、溶解氧等基本环境参数均有利于亚热带海洋生物的生长繁殖;溶解无机氮(DIN)和活性硅酸盐(SiO2-3-Si)均显示过剩,但溶解无机磷(DIP)具有低磷特征,高的氮磷比值使PO3-4-P可能成为浮游植物生长的潜在限制因子,且COD部分站位出现超标现象。污染指数(A)和单因子污染指数(Pi)结果显示,近期整个钦州湾近岸水域污染程度达到2级,属于开始受到污染,水质受到化学耗氧有机物不同程度的污染,超标率达到30%。富营养状态指数结果表明,钦州湾近岸海域总体尚未达到富营养化,但局部区域已出现富营养化状况。COD对富营养化的贡献率平均值及范围为72.46%(67.36%~83.96%),COD已成为影响钦州湾近岸海域富营养化的重要因素。     

俚岛湾海域砷的分布特征及污染评价

以威海俚岛湾养殖区为研究对象,调查研究了俚岛湾海域表层海水和沉积物中总砷的分布特征,并综合评价了砷的污染状况及潜在生态风险。俚岛湾海域表层海水总砷浓度为1.78~2.78μg/L,平均浓度为2.20μg/L,比大洋水略高,俚岛湾海域海水水质较好,未受到砷污染;海水中砷的季节变化为夏季较高、秋冬季基本稳定、春季最低。俚岛湾海域表层沉积物中砷的平面分布呈现出由近岸向远岸降低的趋势,砷含量的年际变化甚微,基本保持稳定的水平;采用潜在生态风险指数法和重金属质量基准法对沉积物进行评价。评价结果表明,该海域表层沉积物中砷污染水平较低,属于低潜在生态风险。     

2013年春夏季莱州湾海水环境要素特征和富营养化评估

根据2013年5（春季）、8月（夏季）莱州湾海水环境要素的调查资料，采用富营养化指数、潜在性富营养化评价模式和灰色聚类分析方法研究环境要素特征和评估海水富营养化状况。结果表明，无机氮是莱州湾水质的主要污染要素，春夏季的N/P平均值分别为100.76、117.84，潜在性富营养化评价模式结果表明，春夏季各站位的营养级均只包括Ⅳ_P、Ⅵ_P两类，磷限制为莱州湾的营养盐结构特征；富营养化指数评价结果表明，春季和夏季E>1站位比例分别为65%、20%；灰色聚类分析结果表明，春季Ⅱ级、Ⅲ级的站位比例分别为95%、5%，夏季Ⅱ、Ⅲ级的站位比例分别为70%、25%，Ⅱ级中的部分站位具有较大潜在富营养化风险。     

基于在线自动监测的钦州湾海域水质参数周年时空变化特征

通过分析位于钦州湾的2个海水水质自动监测站2009-2010年的自动监测数据，发现钦州湾水温、盐度、溶解氧季节变化明显，海水表层水温变化是引起钦州湾溶解氧含量变动的主要原因；钦州湾海水表层盐度及pH值主要受钦江、茅岭江径流及潮汐涨落的影响；处于河口区域，受大陆径流影响显著的海域使用海水水质标准来评价有欠妥当。     

大亚湾水体营养盐分布特征及其生态环境效应

2019年秋季和2020年春季在大亚湾海域开展了生态环境现状调查,调查要素包括水温、盐度、pH、溶解氧、化学需氧量(COD)、溶解无机氮(DIN)、磷酸盐(DIP)、叶绿素a等。秋季DIN和DIP平均浓度分别为(5.00±3.36)、(0.31±0.56) μmol/L,春季分别为(3.12±1.97)、(0.13±0.05) μmol/L,春季DIN和DIP含量低于秋季。秋、春季DIN和DIP高值区均位于淡澳河入海口、哑铃湾和范和港湾口以及渔业养殖和港口交汇海域,且呈现自湾顶至湾口逐渐减小趋势,主要受入海径流、外海水入侵、渔业养殖、污水排放等多重因素影响。大部分海域处于贫营养化状态,仅湾顶局部海域为中度富营养化水平。春季叶绿素a平均值为(2.10±1.07) μg/L,大于秋季[(0.83±0.54) μg/L],秋、春季叶绿素a空间分布大体与营养盐相同,即湾顶高,湾中和湾口逐渐降低,秋、春季N/P平均值分别为30.52±20.09和26.68±17.70,湾顶浮游植物繁殖的主要限制因子为磷,湾口的主要限制因子为氮。     

莱州湾表层沉积物中多氯联苯的测定方法及分布特征探究

以加速溶剂萃取法 (ASE)、索氏提取法/气相色谱法测定了莱州湾表层沉积物中的12种PCBs的浓度水平,探讨了它的分布特征并将两种方法进行了对比;同时测定了渤海湾北部海域表层沉积物中PCBs的含量,与莱州湾进行了比较。结果表明,莱州湾海域表层沉积物检测出8种多氯联苯(PCBs),浓度范围是N.D.~48.40 ng ·g ^-1dw。该海域多氯联苯的分布特征是近岸高,离岸低,由近岸向湾外延伸方向依次递减;渤海湾PCBs的浓度范围是0.15~68.30 ng ·g ^-1dw,和莱州湾差别不大。索氏提取法测定12种多氯联苯类化合物的基质加标回收率为78.00%~104.85%,相对标准偏差为0.95%~3.64%;加速溶剂萃取法的基质加标回收率为90.00%~102.00%,相对标准偏差为0.65%~2.75%;相对于渤海湾北部海域而言,莱州湾区域只是受到轻度污染,属于低风险生态区,不会对生物产生毒副作用;而前者则处于中度污染水平,可能会对生物产生毒副作用。     

陆源有机污染对舟山海域大型底栖生物分布的影响

2009年4月对舟山海域进行了25个站位的底栖生物调查,结合同期进行初级生产力、海水水质等的调查数据,分析了初级生产力、富营养化等环境因子对舟山海域大型底栖生物分布的影响。结果表明,舟山海域大型底栖生物共获得84种,多毛类是主要优势类群。舟山海域大型底栖生物平均生物量为11.62g/m²,平均丰度为208.5个/平方米,多样性指数(H')为1.64。舟山海域大型底栖生物的生物量、丰度和多样性指数均呈现由近岸向外海递增的趋势。应用相关性统计分析表明,舟山海域大型底栖生物的分布与海水化学耗氧量(COD)、无机氮(DIN)、磷酸盐(DIP)、富营养化指数和底层溶解氧(DO)存在显著负相关;与初级生产力、盐度和透明度存在显著正相关。说明陆源有机污染、盐度、透明度、初级生产力和底层溶解氧是影响舟山海域大型底栖生物分布的主要因素,其中陆源有机污染是最主要的影响因素。     

基于多种方法的长江上游小流域水质综合评价

选取大河和巴关河流域2018—2022年水质监测数据,运用单因子评价法、Spearman秩相关系数法、综合污染指数法和主成分分析法,对流域水质状况、变化趋势及主要污染物特征进行综合评价分析。结果表明:2018—2022年,大河流域水质未达到地表水Ⅲ类标准;流域整体综合污染指数超过了1,为重污染,下游污染程度较重;营养指标和有机污染物指标存在显著正相关。巴关河流域水质达到了地表水Ⅲ类标准;流域整体综合污染指数未超过1,为中污染,上游污染程度较重;营养指标、有机污染物指标和重金属指标等均呈现出不同程度的相关性。巴关河流域水质总体优于大河流域。TP、NH₃-N、COD_Mn、COD_Cr和BOD₅是影响大河流域和巴关河流域水质的主要因子,均属于有机型及富营养化污染指标,主要来自生活源和农业源。建议选择适宜的评价方法开展系统性小流域污染溯源,分河段有针对性地开展小流域水环境治理。     

闽江入海断面溶解无机氮长时间序列分析及入海通量估算

为深入研究闽江口富营养化机制,于1985—2021年在闽江入海断面开展了水质监测。采用结合局部加权回归散点平滑法(LOWESS)的季节性肯达尔检验(SK检验)对断面溶解无机氮(DIN)及其各组分浓度变化趋势进行分析,同时结合水文资料对入海通量进行估算。结果表明:DIN浓度范围为0.728~3.140 mg/L,在37年间整体呈上升趋势,但不显著。各组分中NO₂-N和NH₃-N浓度分别呈显著和极显著下降趋势,而NO₃-N浓度呈极显著上升趋势。DIN组分中NO₂-N和NH₃-N比重不断减小,而NO₃-N比重不断增大,目前已成为DIN的主要组成部分。DIN入海通量范围为3.59×10⁴~14.85×10⁴ t,在37年间缓慢增加,其各组分入海通量长期变化趋势同浓度变化类似。从长期来看,DIN及其各组分浓度的变化趋势主要受流域环境变化及下游福州市含氮废水排放影响,而在短期则受台风、降水等一些突发环境事件的影响较大。     

江苏如东贝类养殖区重金属的含量分布特征及潜在生态风险评价

根据2010年3月(冬季)、5月(春季)、8月(夏季)、11月(秋季)对江苏省如东县贝类养殖区4次现场监测资料,着重对养殖区海水和表层沉积物中重金属的分布特征进行了分析,并对养殖区进行了生态环境质量评价及潜在生态风险评价。结果表明:海水中重金属污染程度顺序为Pb>Zn>Hg>Cu>As>Cd;表层沉积物中重金属的污染程度顺序依次为Zn>Pb>As>Cu>Hg>Cd;表层沉积物中重金属的潜在生态危害程度顺序依次为Hg>Cd>As>Pb>Cu>Zn。4次调查结果的多种重金属的潜在生态风险指数(RI)均低于140,表明这些重金属对海洋生态系统的潜在生态风险属于低潜在生态风险水平,养殖环境良好。     

渤海环流对近岸海域无机氮分布特征的影响

基于2017年渤海近岸海域无机氮监测数据和HYCOM数值模拟结果,分析了渤海环流对无机氮污染分布特征的影响,结果表明渤海无机氮的空间分布特征与其环流结构密切相关:受渤海环流的影响,在春、夏、秋季,无机氮含量高值区呈现不同的强度和范围；在辽东湾,与春季相比,夏季环流结构与春季相反、速度大于春季,盘锦、营口近岸海域夏季无机氮污染范围缩小、含量降低,在锦州近岸海域亦出现高值；在渤海湾、莱州湾,与春季相比,夏季和秋季无机氮含量高值区范围缩小,无机氮含量等值线均随环流向高值中心扩展。     

2019年连云港近岸海域水质环境分析与综合评价

于2019年春、夏、秋季对连云港近岸海域海水中营养盐、重金属等共19项指标进行3个航次采样监测。依照海水水质评价标准统计分析站点达标率,采用有机污染物指数法和富营养化指数法,对调查海域海水有机污染、营养水平等进行综合评价。结果表明:2019年连云港市海域站位全年达标率为86.4%,达标面积为6543 km²,占管辖海域面积的98.0%,水质质量较往年有所好转,主要超标物为无机氮、活性磷酸盐。调查海域海水的有机污染和富营养化程度均处于良好状况,近岸海水水质总体上要劣于远岸水质,且随季节的更替呈现波动性变化。     

杭州市钱塘江干支流水质多元统计分析

运用多元统计方法分析了杭州市钱塘江干支流上26个断面的水质监测指标。利用系统聚类分析方法将断面所在河流分为3组,与钱塘江流域污染空间分布现状基本一致。对各组水质的主成分分析表明,第1组河流水质以有机污染为主,水体中氮、磷营养盐浓度较高,水体污染程度较轻,污染来源相对单一;第2组河流水体受有机物、重金属、石油类等多个污染指标的影响,水体水质较第1组差,污染来源相对复杂;第3组河流水体既有一般有机污染,也有重金属、有毒有害物质的污染,水体水质污染严重。     

大连湾海域水体富营养状况分析

描述大连湾水体现状的最新动态.通过研究发现,大连湾大部分海域已达富营养化程度,其中无机氮是影响大连湾水质的主要污染物,无机磷含量高低是决定赤潮发生与否的限制因子.     

Assessment of seasonal variations of surface water quality characteristics for Porsuk Stream

In this study, the factor analysis technique is applied to surface water quality data sets obtained from Porsuk stream in Turkey, generated during 10 years (1995-2005) monitoring of 29 parameters at one site (Esenkara) for all four seasons. The varifactors obtained from factor analysis indicate that the parameters responsible for water quality variations are mainly related to mineral and inorganic nutrients, organic pollution, microbiological pollution in winter and spring; mineral and nutrients in summer; microbiological and nutrient pollution in fall. This study presents the necessity and usefulness of multivariate statistical assessment of large and complex databases in order to get better information about the quality of surface water.     

Water quality assessment using integrated modeling and monitoring in Narva Bay, Gulf of Finland

A coupled three-dimensional hydrodynamic–ecological model was used for the assessment of water quality in Narva Bay during one biologically active season. Narva Bay is located in the south-eastern Gulf of Finland. Narva River with a catchment’s area covering part of Russia and Estonia discharges water and nutrients to Narva Bay. The ecological model includes phytoplankton carbon, nitrogen and phosphorus, chlorophyll a, zooplankton, detritus carbon, nitrogen and phosphorus, inorganic nitrogen, inorganic phosphorus and dissolved oxygen as state variables. Both the hydrodynamic and ecosystem models were validated using a limited number of measurements. The hydrodynamic model validation included comparison of time series of currents and temperature and salinity profiles. The ecological model results were compared with the monitoring data of phytoplankton biomass, total nitrogen and phosphorus and dissolved oxygen. The comparison of hydrodynamic parameters, phytoplankton biomass, surface layer total phosphorus and dissolved oxygen and near-bottom layer total nitrogen was reasonable. Time series of spatially mean values and standard deviations of selected parameters were calculated for the whole Narva Bay. Combining model results and monitoring data, the characteristic concentrations of phytoplankton biomass, total nitrogen and phosphorus and near-bottom dissolved oxygen were estimated. Phytoplankton biomass and total phosphorus showed seasonal variations, of 0.6–1.1 and 0.022–0.032 mg/l, respectively, during spring bloom, 0.1–0.3 and 0.015–0.025 mg/l in summer and 0.2–0.6 and 0.017–0.035 mg/l during autumn bloom. Total nitrogen and near-bottom oxygen concentrations were rather steady, being 0.25–0.35 and 2–6 mg/l, respectively. The total nitrogen and phosphorus concentrations show that according to the classification of Estonian coastal waters, Narva Bay water belongs to a good water quality class.     

Revisiting the Chesapeake Bay Phytoplankton Index of Biotic Integrity

In 2006, a phytoplankton index of biotic integrity (PIBI) was published for Chesapeake Bay Lacouture et al. (Estuaries 29(4):598–616, 2006). The PIBI was developed from data collected during the first 18 years (1985–2002) of the Chesapeake Bay Program long-term phytoplankton and water quality monitoring programs. Combinations of up to nine phytoplankton metrics were selected to characterize bay habitat health according to plankton community condition in spring and summer seasons across four salinity zones. The independent data available at the time for index validation was not sufficient to test the PIBI because they lacked critical index parameters (pheophytin and dissolved organic carbon) and reference samples for some seasons and salinity zones. An additional 8 years of monitoring data (2003–2010) are now available to validate the original index, reassess index performance and re-examine long-term trends in PIBI conditions in the Bay. The PIBI remains sensitive to changes in nutrient and light conditions. Evaluation of the PIBI results over the entire 1985–2010 time period shows no discernible trends in the overall health of Bay habitat based on phytoplankton community conditions. This lack of overall PIBI trend appears to be a combined response to declines in water clarity and improvements in dissolved inorganic nitrogen and dissolved phosphorus conditions in the bay.     

Diel Variability of Water Quality in a Tropical Polluted Bay

The objective is to describe and quantify the diel variability of water quality in a tropical coastal system, Guanabara Bay, Brazil. Water samples were collected in spring and neap tide cycles over 24 h periods at three strategic sites. A pollution gradient was evident between the sampling sites. The average fecal coliform values decreased from 10⁶ (site 3, most polluted) to 10¹ (site 1, less polluted). Organic matter mineralization was found in a similar gradient to organic pollution. However, complete nitrification was only found associated to regions where the water quality was better. Variability in this data set was determined mostly by the pollution gradient observed, and by tidal influence as well. The poor water quality indicates that the bay undergoes severe environmental stress. However water renewal promoted by tidal action was an important mechanism in diluting the pollution, improving water quality even in ebb tides and in the inner channels. The significance of micro-scale changes in water quality assessment in Guanabara Bay was confirmed, as well as the importance of these strategic sampling sites, reinforcing the importance of these measurements in monitoring programs.     

Dissolved oxygen content as an index of water quality in San Vicente Bay,Chile (36 degrees 45'S)

The present report describes some effects of industrial and municipal effluents on the waters of San Vicente Bay. Analyses ofthe main substances contained in the fishing industry effluentsuggest rating criteria based on the oxygen saturation of thewater as an assessment of organic pollution. Six cruises were carried out throughout the Bay, from June to December 1996. Watersamples were analyzed for dissolved oxygen, oil and grease content, and sediment samples for organic matter content. Waterparameters (salinity, temperature) were used to characterize theBay's hydrography, and to calculate values for oxygen saturation. The measurements demonstrated a local broad range of oxygen deficit, with a maximum of 45% in the winter to 95% in the spring. In November more than 65% of the Bay's area showed oxygendeficits greater than 40%. Organic matter was unusually high insediments along the northern sector of the Bay. The results suggest that the oxygen depletion was a representative parameterfor establishing a relative scale of water quality in this Bay.