用于环境风险评价的大连湾溢油预测模型

基于POM建立了M2分潮的大连湾海域三维潮流场动力模式。利用此动力模式,以"油粒子"模型来模拟溢油在大连湾中的漂移扩散过程。通过欧拉-拉格朗日法,将油膜中心的轨迹和各个时刻的油膜分布情况可视化。溢油预测模型综合考虑了三维流场、湍流、风导输移和波浪破等环境因素对海上溢油行为的影响,考虑了蒸发和乳化过程,预测了溢油的归宿。本模型旨在为大连湾海上溢油风险评价提供信息。     

环境监测为环境管理服务环境管理依靠环境监测：大连市环保局环境管理见成效

大连市环保局根据市长任期内环境目标和任务,积极贯彻国务院环境保护委员会《关于城市环境综合整治定量考核》的决定,以保护与改善环境质量为核心,以甘井子工业区及大连湾污染防治与监督管理为重点,组织全局各     

水磨河氮含量分布及时空变化初探

根据2005年水质监测结果,对水磨河无机氮的特征分布及相互之间的相关性进行了初步分析探讨,结果显示,水磨河无机氮中硝酸盐氮含量最高,亚硝酸盐氮含量最低,亚硝酸盐氮与氨氮之间有非常显著的线性关系.通过对1991-2005年的监测资料分析,表明水磨河各断面无机氮含量呈下降趋势,但水磨河自上而下无机营养盐N总体浓度升高,说明氮污染还在延续,形势不容乐观.     

高氯废水中有机物污染指标CODcr测定方法研究

CODcr作为评价有机物污染的重要指标,高氯及无机还原性耗氧物质是影响CODcr测试结果准确性的主要干扰因素.提出用0.1mol/L的K2Cr2O7为氧化剂,HgSO4为掩蔽剂并辅以空白扣除法消除高氯的影响;用酸化吹气法去除S2-等无机还原物质的影响.所用方法科学准确,测定结果可靠.     

城市垃圾码头对周围水域水质的影响

宁波市垃圾码头对周围水域水质影响作了连续监测,结果表明:对水质影响是以无机指标悬浮物、总硬度、pH为主,位置上下游大于上游.COD、BOD_5、油等有机指标影响较小,上游水质是先上升后下降,下游水质是以较小幅度上升,三氮的变化规律与有机指标基本相同.总氮总磷含量普遍较高.有毒有害物质对水质的影响不明显.这与宁波市生活垃圾中无机成分,特别是粉煤灰所占比例较大有关.     

离子色谱对降水中有机酸的测定

采用通常分析无机阴离子时的YSA阴离子分离柱,使用四硼酸钠淋洗液,可对降水中的甲酸、乙酸、F-等离子同时进行分析.其它无机阴离子不干扰测定.本方法可测定浓度为ppm或PPb级的有机酸,变异系数在2.3%以下,精密度良好.     

梯度淋洗离子色谱法同时测定雨水中12种有机酸和无机阴离子的研究

研究了用离子色谱梯度洗脱-抑制电导检测器同时分离12种有机酸和无机阴离子的规律和色谱务件,建立了最佳梯度程序.在所选实验务件下,方法对所测有机酸和无机阴离子的线性相关系数为0.9929～0.9998,相对标准偏差为4.2%～9.3%,加标回收率为91.4%～107.0%,最低检测限为0.0069～0.34mg/L.方法用于雨水样品的测定,结果令人满意.     

连云港春季PM2.5中主要水溶性无机离子污染特征及来源解析

于2017年3月1日—5月31日监测分析了连云港市大气PM_(2.5)中主要水溶性无机离子质量浓度的日变化规律,以及与气象因子、PM10、PM_(2.5)相关性。结果表明,水溶性无机离子质量浓度与环境空气中NO_2、CO、PM_(10)、PM_(2. 5)显著相关,与气温、风速、能见度等呈负相关;日变化呈明显单峰型,峰值出现在08:00左右;水溶性无机离子季度均值为27. 2μg/m~3,占ρ(PM_(2.5))平均50%左右,ρ(NO_3~-)、ρ(SO_4~(2-))和ρ(NH_4~+)占ρ(水溶性无机离子)总85%以上;指出,SO_4~(2-)主要受远距离传输的影响,NO_3~-和NH_4~+主要受局地源的影响。     

菏泽市不同类型村庄土壤主要无机元素的监测与评价

为揭示土壤主要无机元素积累成因,制定科学防控措施,以菏泽市养殖型、蔬菜型、粮食型、工业型4种类型村庄为研究对象,分析了11个典型村庄8种土壤主要无机元素含量、分布特征及污染风险。结果表明,土壤镉、汞、砷、铅、铬、铜、镍、锌的质量分数分别为0. 01～0. 53、0. 002～0. 145、5. 51～15. 20、17. 6～75. 8、14. 5～69. 9、13. 3～33. 8、18. 8～46. 9、41. 5～96. 4 mg/kg。蔬菜型村庄镉、汞、铅元素含量最高;粮食型村庄铬、铜、镍含量最高;养殖型村庄砷、锌元素含量最高;工业型村庄铬、铜、镍元素含量较高,其余元素的含量都较低。各主要无机元素平均值均未超过农用地土壤污染筛选值,但除汞外,均超过了黄河故道区域土壤环境背景值,尤以镉最显著。     

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。     

2018年大连海域船舶大气污染物排放特征及影响分析

船舶废气已成为大气污染物的重要来源之一。为掌握大连周边海域船舶大气污染物排放特征,以及大连海域船舶排放对大连市大气环境的影响,基于船舶自动识别系统监测数据,采用基于功率的动力法估算出2018年大连海域船舶排放清单,并利用WRF、SMOKE、CMAQ空气质量数值模拟系统,研究了1月、4月、7月、10月船舶排放对大连市大气环境的影响。研究结果表明,2018年大连海域船舶共排放SO₂ 7 606.23 t、NO_x 30 990.13 t、PM₁₀ 1 212.02 t、PM_2.5 969.58 t、CO 3 339.10 t、HC 1 414.63 t、CO₂ 2 546 299.67 t。其中,客船、散货船、油船和多用途船的排放占比较大,排放区域主要集中在大连湾、大窑湾附近及周边航道。受气候因素影响,不同月份的船舶排放对大连市大气环境的影响不同,其中,1月、4月和10月受影响较大的区域主要是旅顺口区和金州区,而7月受影响较大的区域主要是甘井子区。     

An Overview of Contaminant-Related Issues Identified by Monitoring in San Francisco Bay

The San Francisco Estuary Regional Monitoring Program for Trace Substances (RMP) began in 1993 and is sponsored by 74 local, state, and federal agencies and companies through their discharge or Bay use permits. The RMP monitors water, sediment, toxicity, and bivalve bioaccumulation at 25 sites in the Bay that are considered to represent "background" conditions. Several major environmental issues have been identified by the RMP. Polychlorinated biphenyls and mercury were often above water quality guidelines, and often occurred in fish tissues above U.S. Environmental Protection Agency (U.S. EPA) screening values. Concentrations do not appear to be decreasing, suggesting continuing inputs. Episodes of aquatic toxicity often occurred following runoff events that transport contaminants into the Bay from urbanized and agricultural portions of the watershed. Sediment toxicity occurred throughout the Bay, and has been correlated with concentrations of specific contaminants (chlordanes, polynuclear aromatic hydrocarbons) at some locations; mixtures of contaminants were probably also important. Since the RMP does not monitor all ecosystem components, assessments of the overall condition of the Bay cannot be made. However, in terms of contamination, the RMP samples suggest that the South Bay, and North Bay sites are moderately contaminated.     

Metal contents in coastal waters of San Jorge Bay, Antofagasta, northern Chile: a base line for establishing seawater quality guidelines

We measured the concentration of 12 metals in coastal waters of seven sites of San Jorge Bay in Antofagasta (northern Chile), in order to relate the presence of metals with the different uses of San Jorge Bay coastal border, and to evaluate the quality of the bay's bodies of water according to the proposed current Chilean Quality Guide for trace elements in seawater (CONAMA 2003). The results suggest that the coastal water of San Jorge Bay has very good quality according to the proposed regulation mentioned above. However, the distribution of metals such as Cu and Pb along the bay's coast line evidences a notorious effect of the industrial activity, which would involve different behavior patterns for some trace elements in some bodies of water, suggesting that the levels indicated in the environmental guideline of the Chilean legislation do not represent pollution-free environments.     

Application of the benthic index of biotic integrity to environmental monitoring in Chesapeake Bay

The Chesapeake Bay benthic index of biotic integrity (B-IBI) was developed to assess benthic community health and environmental quality in Chesapeake Bay. The B-IBI provides Chesapeake Bay monitoring programs with a uniform tool with which to characterize bay-wide benthic community condition and assess the health of the Bay. A probability-based design permits unbiased annual estimates of areal degradation within the Chesapeake Bay and its tributaries with quantifiable precision. However, of greatest interest to managers is the identification of problem areas most in need of restoration. Here we apply the B-IBI to benthic data collected in the Bay since 1994 to assess benthic community degradation by Chesapeake Bay Program segment and water depth. We used a new B-IBI classification system that improves the reliability of the estimates of degradation. Estimates were produced for 67 Chesapeake Bay Program segments. Greatest degradation was found in areas that are known to experience hypoxia or show toxic contamination, such as the mesohaline portion of the Potomac River, the Patapsco River, and the Maryland mainstem. Logistic regression models revealed increased probability of degraded benthos with depth for the lower Potomac River, Patapsco River, Nanticoke River, lower York River, and the Maryland mainstem. Our assessment of degradation by segment and water depth provided greater resolution of relative condition than previously available, and helped define the extent of degradation in Chesapeake Bay.     

The areal extent of brown shrimp habitat suitability in Mobile Bay, Alabama, USA: targeting vegetated habitat restoration

The availability of wetlands and shallow water habitats significantly influences Gulf of Mexico (GOM) penaeid shrimp fishery productivity. However, the GOM region has the highest rate of wetland loss in the USA. Protection and management of these vital GOM habitats are critical to sustainable shrimp fisheries. Brown shrimp (Farfantepenaeus aztecus) are a major component of GOM fisheries. We present an approach for estimating the areal extent of suitable habitat for post-larval and juvenile brown shrimp in Mobile Bay, Alabama, using an existing habitat suitability index model for the northern GOM calculated from probabilistic survey of water quality and sediment data, land cover data, and submerged aquatic vegetation coverages. This estuarine scale approach is intended to support targeted protection and restoration of these habitats. These analyses indicate that approximately 60% of the area of Mobile Bay is categorized as suitable to near optimal for post-larval and juvenile shrimp and 38% of the area is marginally to minimally suitable. We identify potential units within Mobile Bay for targeted restoration to improve habitat suitability.     

Turbidity and seawater intrusion in Laguna de Bay

The ecological role of seawater intrusion in Laguna de Bay is assessed due to the operation of the Napindan Hydraulic Control Structure (NHCS). Turbidity is recognized as one limiting factor in the lake's biological productivity. Hence, to stop the natural backflow of seawater to Laguna de Bay removes one important contributory factor in facilitating an early water clearing of Laguna de Bay for a higher annual biological productivity.     

地理信息系统在大窑湾水质现状评价中的应用

借助mapinfo软件,利用离散点插值扩展法对大窑湾海域的水质污染空间分布情况进行了环境评价,通过计算污染区域的面积得出了各类水质的海域空间分布,克服了以往逐点评价海域的片面性,对管理和控制海域污染范围有一定的指导意义.     

Influence of water pollution on the growth and pigment concentration of the microalgae <Emphasis Type="Italic">Phaeodactylum tricornutum</Emphasis> Bohlin (Bacillariophyta)

The aim of the work was to study the influence of the water taken from one of the most polluted parts of the Peter the Great Bay (the Japan Sea), the Nakhodka Bay, on the growth and chlorophyll a concentration in the cells of microalga P. tricornutum Bohlin (Bacillariophyta). The estimation of the dynamics of cell number growth and chlorophyll a concentration in the cells of microalga grown in the water from the Nakhodka Bay was made. At the same time, in 2007–2008, the main hydrochemical parameters, such as water salinity, dissolved oxygen concentration, BOD₅, organic and mineral phosphates concentration, anionic surfactants, and total petroleum hydrocarbons, were determined. It is shown that in July 2007, when most hydrochemical parameters were lower than the maximum permissible level, the culture growth and chlorophyll a contents in the cells did not differ from the control for certain. In other seasons these indices differed greatly from the control. The positive correlation between the concentration of dissolved oxygen, phosphates, petroleum hydrocarbons, and the number of microalga cells, grown in the water from the Nakhodka Bay, was shown.     

物元分析法在水质监测优化布点中的应用

物元分析法是处理不相容问题的一种有效方法。以竺山湾2010年7月水质监测数据为例,利用物元分析法分析太湖竺山湾水质监测点位分布情况,并将分析结果与系统聚类法的分析结果相比较,发现物元分析法的分析结果是准确、可信的。综合使用物元分析法和系统聚类法,最终确定水质监测点位可由14个优化至11个。