北部湾潮间带沉积物中重金属和多氯联苯的分布特征及生态风险评价

选择北部湾9个典型采样点,研究了潮间带沉积物中重金属和多氯联苯(PCBs)的分布特征和生态风险.分析结果表明,Hg、As、Cu、Pb、Zn、Cd、Cr等重金属和总PCBs的平均含量分别为0.100、10.00、19.89、45.97、208.65、0.098、17.86 mg.kg-1和1.48!g.kg-1.重金属和PCBs表现出不同的空间变化规律.相关性分析表明,北部湾潮间带的重金属主要来自人为污染;沉积物的粒度参数和有机质含量等性质特征是影响PCBs分布和迁移的重要因素;重金属和PCBs总量之间不存在明显的相关性.生态风险评价结果表明,PCBs和Cd是北部湾潮间带最主要的生态风险因子,Zn和PCBs是优势污染物;研究区域总体处于中等生态风险等级,表明沿岸港口和临海工业等人为活动已经对北部湾滨海地区造成了一定的环境压力.     

大鹏湾中溶解态总氮和总磷的多年调查结果分析

依据2000—2010年每月1次的调查资料,简要描述和讨论大鹏湾海水中溶解态总氮（DTN）和溶解态总磷（DTP）质量浓度的空间分布和时间变化。结果表明由于受到香港和深圳陆源排放的影响,DTN和DTP质量浓度在吐露港和沙头角附近水域1年4季都较高。DTN和DTP的平均质量浓度分别为0.21和0.03 mg.L-1,比溶解态无机氮（DIN）和溶解态无机磷（DIP）的高1倍以上,表明大鹏湾海水中溶解态有机氮（DON）和溶解态有机磷（DOP）分别是DTN和DTP的主要赋存形态。平均DTN/DTP原子比〉16,反映了大鹏湾海水中磷可能是海洋浮游生物生长繁殖的限制因素。夏季,由于南海北部陆架低温、高盐和高营养盐底层水潜入湾内,底层DTN和DTP质量浓度明显高于其他季节。11年调查期间,DTN质量浓度的年际变化趋势平稳,DTP质量浓度的年际变化呈较明显的下降趋势,而DTN/DTP原子比的年际变化呈较明显的上升趋势。     

三峡水库香溪河库湾冬季甲藻水华生消机理初探

2010年1—2月在香溪河库湾上、中、下游各选取1个监测点对水体环境因子及藻类进行监测,对水温、营养盐含量等进行分析,探讨香溪河库湾冬季甲藻水华的生消机理. 结果表明:2010年冬季,香溪河库湾末端暴发了甲藻水华,持续44 d,优势藻种为拟多甲藻(Peridiniopsis sp.),最高细胞密度达到11.8×106 L-1;适宜的水温、充足的营养盐以及良好的光照、弱分层水体是香溪河库湾冬季甲藻水华暴发的主要原因;Zmix/Zeu〔Zmix(混合层深度)与Zeu(真光层深度)之比〕在2~3之间时有利于甲藻生长;库湾中下游因水体掺混强烈而在冬季未暴发水华;后期水体分层状态的加强及Zmix/Zeu的减小是甲藻水华消失的主要原因.      

三峡水库香溪河库湾氮磷分布状况及沉积物污染评价

为了解三峡大坝蓄水完成之后香溪河库湾水体及沉积物中氮、磷的分布状况以及沉积物污染水平,2013年4月对三峡水库香溪河库湾进行调查采样,测定表层水及沉积物中氮磷含量和形态组成。结果表明,香溪河库湾表层水总磷(TP)含量范围为0.20~0.51 mg·L~(-1),总氮(TN)含量范围为0.54~2.25 mg·L~(-1),TP主要由磷酸盐(PO_4~(3-))组成,TN主要由硝酸盐(NO_3~-)以及氨氮(NH_4~+)组成,TP在空间上呈现从河口向库尾逐渐升高的分布格局,TN分布从河口向库尾逐渐降低。香溪河库湾沉积物中TP含量变化范围为642~1 189 mg·kg~(-1),TN含量变化范围为867~1 718 mg·kg~(-1),沉积物TP含量分布呈现上游高下游低,沉积物TN分布趋势呈现中间高,两头低。沉积物中TP主要由无机磷(IP)组成,有机磷(OP)所占比例较小,其中IP由钙磷(Ca-P)、铁铝磷(Fe/Al-P)组成,三者含量:Ca-POPFe/Al-P,且沉积物TP含量空间变化受到三者影响(P0.05)。采用单一因子标准指数法对香溪河库湾沉积物中TN、TP污染水平进行评价,结果表明,表层沉积物中TN、TP最低级别污染指数平均值为2.0和1.6,表层沉积物中TN、TP污染指数均超过最低污染水平,且TP的严重级别污染指数达到0.5以上。三峡水库三期蓄水完成以后,香溪河库湾表层水体中氮磷含量较初期蓄水有所升高,各样点沉积物中氮磷含量表现出相同的趋势,沉积物中不稳定磷释放对水体富营养化具有影响,香溪河库湾的表层沉积物已经受到一定的污染,磷污染水平较高。     

疏浚对梅粱湾表层沉积物重金属赋存形态及其生物毒性的影响

选择太湖梅梁湾未疏浚、疏浚后1周和疏浚后半年的表层沉积物为研究对象,测定其中重金属的含量及其不同赋存形态所占比例,开展沉积物间隙水中重金属毒性试验,据此探讨疏浚对沉积物中重金属含量及其赋存形态所占比例和生物毒性的影响. 结果表明:太湖梅梁湾调查区未疏浚沉积物重金属含量明显高于疏浚区,重金属的生物毒性占沉积物综合毒性的25%～35%. 疏浚后1周沉积物重金属含量急剧降低32%～51%,但对重金属生物毒性影响较大的吸附态及碳酸盐结合态重金属比例由未疏浚时的未检出或含量极低增加到40%～83%,生物毒性相应增加17%～38%;疏浚后半年,沉积物中重金属的总量略有回升,吸附态及碳酸盐结合态重金属比例下降,生物毒性下降并低于未疏浚时水平.      

天津塘沽海滨浴场沉积物中POPs的垂直分布

应用GC-MS对渤海湾潮间带天津塘沽海滨浴场沉积物中的多环芳烃、有机氯农药、多氯联苯和多溴联苯醚等持久性有机污染物的垂直分布进行了研究.4类污染物的污染水平依次为PAHs>OCPs>PCBs>PBDEs,其质量分数范围分别为113.1～1 040.0和7.6～118.1 ng/g,715.0～7 048.3和10.0～158.2 pg/g(以干质量计). 在0～50 cm深度,w(PAHs)相对较高且变化较大,50 cm以下深度,w(PAHs)逐渐降低且变化较小.在测定的16种PAHs中w(菲)最高,并随深度的增加而降低.污染源解析表明,PAHs的污染主要来自石油输入和煤、木炭等的燃烧. OCPs的垂直分布与PAHs类似,在定量的20种OCPs中,w(HCB)最高,其次是w(HCHs)和w(DDTs);研究表明HCHs和DDT没有新的输入. 在0～70 cm深度,w(PCBs)低且变化小,70～80 cm深度突增1个数量级. w(PBDEs)较w(PCBs)低1个数量级,在5～10 cm深度污染水平最高.      

Rookery Bay and Naples Bay circulation simulations: Applications to tides and fresh water inflow regulation

A three-dimensional, baroclinic numerical circulation model is applied to the combined Rookery Bay and Naples Bay estuary complex. We focus on two aspects of the model simulations: the tidal circulation, for which we have observations of sea level and currents at several stations spanning Rookery Bay, and the salinity variations, for which we have observations at one station. After establishing model veracity through quantitative comparisons with observations, we use the model to address salinity changes that could arise due to regulatory fresh water flow rate modifications. Two different sets of experiments are performed. The first considers the salinity changes in Rookery Bay by increasing the fresh water flow rates into Henderson Creek through the addition of either 1.4 m³/s or 2.8 m³/s to the ambient flow rates. The second considers the salinity changes in Naples Bay by decreasing the fresh water flow rates through the subtraction of 9.9 m³/s from the Golden Gate Canals’ ambient flow rates. All of these scenarios result in significant, quantifiable salinity changes within the Rookery Bay and Naples Bay estuary complexes, demonstrating the environmental management utility of using high resolution, three-dimensional, numerical circulation models, as applied herein, for assessing the water properties of complex, multi-connected estuarine systems.     

Sea level rise and eelgrass (Zostera marina) production: A spatially explicit relative elevation model for Padilla Bay, WA

The dynamics that govern the elevation of a coastal wetland relative to sea level are complex, involving non-linear feedbacks among opposing processes. Changes in the balance between these processes can result in significant alterations to vegetation communities that are adapted to a specific range of water levels. Given that current sedimentation rates in Padilla Bay, Washington are likely less than historical levels and that eustatic sea level rise is accelerating, the extensive Zostera marina (eelgrass) meadows in the bay may be at risk of eventual submergence. We developed a spatially explicit relative elevation model and used it to project changes in the productivity and distribution of eelgrass in Padilla Bay over the next century. The model is mechanistic and incorporates many of the processes and feedbacks that govern coastal wetland elevation change. Accretion estimates made using ²¹⁰Pb dating of sediment cores, sediment characteristics measured within cores, and eelgrass productivity and decomposition data were used to initialize and calibrate the model. Validation was performed using an elevation change rate measured with a network of surface elevation tables. Both the field data and model simulations revealed a net accretion deficit for the bay. Simulations using current rates of sea level rise indicated an overall expansion of eelgrass within Padilla Bay over the next century as it migrates from the center of the bay shoreward.     

Integration of a fish bioenergetics model into a spatially explicit water quality model: Application to menhaden in Chesapeake Bay

Although fish are usually thought of as victims of water quality degradation, it has been proposed that some planktivorous species may improve water quality through consumption of algae and sequestering of nutrients via growth. Within most numerical water quality models, the highest trophic level modeled explicitly is zooplankton, prohibiting an investigation of the effect a fish species may be having on its environment. Conversely, numerical models of fish consumption do not typically include feedback mechanisms to capture the effects of fish on primary production and nutrient recycling. In the present study, a fish bioenergetics model is incorporated into CE-QUAL-ICM, a spatially explicit eutrophication model. In addition to fish consumption of algae, zooplankton, and detritus, fish biomass accumulation and nutrient recycling to the water column are explicitly accounted for. These developments advance prior modeling efforts of the impact of fish on water quality, many of which are based on integrated estimates over an entire system and which omit the feedback the fish have through nutrient recycling and excretion. To validate the developments, a pilot application was undertaken for Atlantic menhaden (Brevoortia tyrannus) in Chesapeake Bay. The model indicates menhaden may reduce the algal biomass while simultaneously increasing primary productivity.     

深圳湾浮游植物的季节变化

2008年2月至11月对深圳湾的浮游植物和理化环境因子进行了4个季度月的调查,结果共检出浮游植物150种（包括变种和变型）：春季66种、夏季72种、秋季54种、冬季50种,其中硅藻门36属108种,甲藻门14属36种,绿藻门3属3种,蓝藻门2属3种。优势种共有湖沼圆筛藻Coscinodiscus lacustris、中肋骨条藻Skeletonema costatum、夜光藻Noctiluca scientillans 3种：春季1种、夏季1种、秋季1种、冬季2种,优势种群由春夏季的湖沼圆筛藻演替至秋季的中肋骨条藻、冬季的中肋骨条藻和夜光藻,没有全年广布优势种;4季均出现的种类共有9种,其中硅藻8种,甲藻1种,各季节间共有种类数在13～31种,Jaccard种类相似性指数范围在0.12~0.35,季节更替明显。多样性指数和均匀度的变化范围分别为0.006~1.724和0.001~0.306,群落结构较脆弱。细胞密度在1.25×107~217.90×107 cells.m-3,夏季最高,春季次之,冬季最低,属季节单峰型变化,与一般亚热带春、秋季出现密度高峰不一致,这与深圳湾陆源营养物质的扰动有关,其无机氮和活性磷酸盐含量均劣于国家海水水质标准的四类水,因此,该海域水质营养类型属于亚热带富营养型。细胞密度与硅酸盐呈极显著的负相关,相关系数为-0.446（p〈0.01,n=36,双尾）,与水温呈显著的正相关,相关系数为0.371（p〈0.05,n=36,双尾）,与其他因子的相关性不明显。从优势种的种类数和多样性指数分析,深圳湾浮游植物的群落结构已趋于单一化,生态系统抗干扰能力极为脆弱。