高分一、二号卫星遥感数据在生态环境监测中的应用

从水环境质量监测、水体信息提取、植被资源监测、城市土地覆盖识别、大气环境监测5个方面综述了高分一号(GF-1)、高分二号(GF-2)卫星遥感数据在区域生态环境监测领域的应用,分析了相关研究的应用方向和重点,表明GF-1、GF-2卫星遥感数据在该领域具有良好的适用性和较大的应用潜力。     

典型化工污水处理厂废水及受纳水体的生物急性毒性监测方法应用研究

为了研究生物急性监测方法对监测典型化工污水处理厂废水的适用性,选择2家常州市典型的化工园区污水处理厂("常A"和"常B"),进行了发光细菌、藻类、大型溞和斑马鱼卵4种不同层次受试生物的急性毒性检测。研究表明,发光细菌急性毒性、藻类叶绿素荧光毒性在2个污水处理厂中均被检测到,发光细菌急性毒性通常进水大于出水,但在投放大量氧化消毒剂时,出水表现出剧毒。藻类叶绿素荧光毒性最高值出现在常B进水中。大型溞和斑马鱼卵急性毒性仅在常B进出水样中有检出,受纳河道下游水样虽未表现出急性毒性,但可观察到斑马鱼卵各类发育畸形。4种生物急性毒性检测方法中,发光细菌适用范围最广,藻类、大型溞和斑马鱼卵急性毒性方法可根据监测目的和工业园区特点相应选择。实验结论可为化工污水处理厂尾水排放过程中生物毒性监测的常态化提供方法选择,为管理部门制定排放标准提供依据。     

北京市某典型污水处理厂氨气排放研究

在污水处理厂的格栅、沉砂池、初沉池、曝气池、二沉池采集气样,同时采集相应点位水样,分析各点位氨气排放特征及其与污水指标间相关性。在格栅间、污泥脱水间收集氨气浓度分析密闭车间氨气排放量,结果表明:水气界面格栅间氨气排放浓度最高,随着处理工艺的进行,氨气排放浓度呈下降趋势;氨气排放浓度与污水中氨氮浓度及总氮浓度有较好的线性关系;沉砂池及初沉池氨气挥发速率远高于曝气池和二沉池;各工艺段氨气排放量差异较大,污水厂污水氨气排放量为922 mg/m~3,初沉池对污水厂氨气贡献率最高,为78.8%。     

淄博城市污泥中多环芳烃分布特征及风险评价

在淄博市6家代表性城市污水处理厂采集12个污泥样品,采用GC-MS法测定污泥中16种多环芳烃(PAHs)的含量,研究分析PAHs分布特征和来源,并作风险评价。结果表明,淄博城市污泥中共检出15种PAHs,总质量比(∑₁₆PAHs)范围为0.23 mg/kg～3.76 mg/kg,平均值为1.20 mg/kg,各污泥间∑₁₆PAHs差异显著;7种致癌性PAHs的质量比为0.11 mg/kg～2.56 mg/kg;污泥以6环PAHs为主。来源分析显示,污泥中PAHs主要来源于生物质和煤的燃烧,兼有汽车尾气排放的特征。风险评价结果显示,6家污水处理厂污泥中PAHs毒性当量浓度(∑₁₆TEQ)由高到低为Z2>Z5>Z6>Z4>Z1>Z3,7种致癌性PAHs是致癌风险的主要贡献者,其中二苯并[a, h]蒽贡献率最高。     

王港河流域水环境质量溯源调查分析

以王港河流域为研究对象,根据2016—2020年、2021年1月29日—31日2个时间段的水质历史监测数据、2020年高分遥感影像解译结果和对高锰酸盐指数、化学需氧量、氨氮、总磷指标的加密监测数据及现场核查,对王港河流域水环境质量范围进行了溯源调查分析。结果表明,2016—2020年,王港河流域水质逐年好转;遥感解译共289个工业企业地块,102个水产养殖地块,169个畜禽养殖地块,92个疑似污染水体地块;王港河流域上游水质明显好于下游,下游沿线支流水质较差,畜禽养殖污染占比较高,是影响水质的主要原因,此外,沿河乡镇生活污水和工业污水收集处理效率低,以及工业园区工业污染源、农场农田退水、水产养殖排水也是影响水质的重要原因。     

氯酸钠对废水COD测定的干扰研究

氯酸钠是污水处理厂处理污水时常用的一种氧化剂,会对COD的测定产生负干扰。有的污水处理厂对含过量氯酸钠的污水未进行处理而直接外排;也有的污水处理厂为逃避环保部门的监管,在外排口投入过量氯酸钠,干扰COD测定,人为降低污水COD测定值。因而,研究氯酸钠对废水COD测定的干扰具有重要的现实意义。通过对标准样品和实际样品进行检测,发现氯酸钠对COD测定的干扰程度(真实值与测定值的差值)随着氯酸钠浓度的增加而增大。当氯酸钠浓度在100~1 000 mg/L范围内时,干扰值的大小与氯酸钠浓度呈显著正相关(P<0.05,r=0.997 4),且相同浓度氯酸钠对不同浓度COD测定产生的干扰无显著性差异。从追踪反应过程中不同形式氯元素含量的角度,进一步探究了氯酸钠对COD测定的干扰机理,发现氯酸钠对COD测定的干扰来自两个反应过程,分别是氯酸钠在消解过程中与还原性物质的反应、未完全反应的氯酸钠在滴定过程中与硫酸亚铁铵的反应,并且两个反应过程都会对COD的测定产生负干扰。根据干扰机理,研究建立了干扰校正方法,即校准曲线法。此方法具有较好的精密度和正确度,可以满足实际废水样品的测定要求。     

基于多星遥感影像的太湖北部湖湾春季沉水植被分布动态监测

利用多星遥感影像动态监测了2015年春季太湖北部湖湾沉水植被分布的变化过程,并对水生植被遥感监测中的几个关键问题展开了探讨。决策树方法获取的水生植被分布结果表明,2015年4月28日太湖北部湖湾发现明显沉水植被分布面积约11.2 km~2,与2014年同期相比,新出现的较大面积沉水植被分布区域主要集中在田鸡山西和锡东水厂附近。提出应及时清理打捞,避免水生植被死亡腐烂,威胁水质安全。     

不同污水处理工艺中全氟和多氟烷基物质的来源、去除效率及生态风险

使用固相萃取-超高效液相色谱串联质谱法,测定广西3个污水处理厂（P1、P2、P3）中17种全氟和多氟烷基物质（PFASs）。结果显示,共检测出10种PFASs,检出率为33.3%～100%。进、出水中PFASs质量浓度分别为32.0～86.4和23.0～39.6 ng/L。全氟丁烷磺酸（PFBA）、全氟戊酸（PFPeA）和全氟辛酸（PFOA）是进、出水中的主要污染物。厌氧-缺氧-好氧（AAO）工艺对PFASs的去除率为49.0%;改良型序批反应器（MSBR）工艺对PFASs的去除率为72.2%,氧化沟工艺对PFASs的去除率为25.0%。P1和P3进水中的PFASs主要来源于生活污水,P2进水中的PFASs来源包括生活污水和工业废水。P1出水中的全氟十二烷酸（PFDoDA）对纳污河流的鱼类和水蚤构成高生态风险,对藻类构成中等生态风险,P2和P3出水对纳污河流构成的生态风险较低。     

丹江湿地国家级自然保护区及其内外区域2000—2015年土地覆被变化分析

为研究2000—2015年丹江湿地国家级自然保护区及其内外生态状况变化和保护成效,基于高分1号数据生产的2m高分辨率遥感影像数据对丹江湿地国家级自然保护区2015年人类活动状况进行分析,基于30 m分辨率的4期TM遥感影像生产的土地覆被数据和基于Modis遥感影像生产的植被覆盖度数据,对淅川县、丹江湿地国家级自然保护区及其核心区的土地覆被状况、土地覆被转类指数及其土地覆被转类途径的主导程度和3个相关区域范围内的生态系统质量以及不同区域土地覆被变化的主要变化原因进行分析。结果表明,保护区核心区的格局和质量在该区域处于最优,且土地覆被变化状况也以核心区转类指数最高;丹江湿地国家级自然保护区内的主要人类活动影响为耕地,其次包括居民点、采石场、养殖场; 15年间,保护区内外土地覆被均呈现转好趋势,但是保护区内变化优于保护区外,保护区核心区优于整个保护区,且转好的主导因素均是耕地变为湿地; 15年间植被覆盖度变化较小。     

环境卫星CCD影像在太湖湖泛暗色水团监测中的应用

太湖地区2009年5月11日、2010年8月21日、2011年7月28日和2011年9月24日的环境卫星CCD影像显示,在太湖西部沿岸带、竺山湖等水域存在湖泛暗色水团现象。由于环境CCD缺少辅助反演气溶胶信息的2.1um波段,试验了基于空气自动监测子站获得的与环境卫星CCD成像时间接近的地面能见度测量数据进行FLAASH大气校正的方法,反演结果总体上符合水体光谱特征。提取了湖泛水体、对照水体阳区在CCD各波段的光谱反射率数据统计特征。结果表明,和对照水体相比,湖泛水体在环境卫星CCD的可见光—近红外波段具有较低的反射率,与人眼观察湖泛水色暗黑的感官一致,另一方面,湖泛水域由于仍有一定的藻类存在,在环境卫星CCD近红外（波段4 ）具有比可见光（波段3）略高的反射率,其规律与基于Landsat ETM的湖泛暗色水团遥感分析结果相一致。     

Topsoil and Housedust Metal Concentrations in the Vicinity of a Lead Battery Manufacturing Plant

The aim of the study was to determine the extent of heavy metal pollution in the vicinity of a lead battery manufacturing plant in the Czech Republic, both in the general environment and within homes. Topsoils (0–5 cm) were sampled from 100 sites along 4 transects which crossed the battery factory, the town centre and outlying rural areas. Housedust samples were collected from 15 plant-workers' homes and 15 non plant-workers' homes located at various distances from the factory. Samples were analysed for levels of Pb, Zn, Cd, Cu, As and Sb, using ICP-AES. Soil concentrations of Pb, Cd, As and Sb peaked at the perimeter fence of the battery factory with Pb levels of up to 12 650 g g> ^-1. Concentrations of these metals decreased exponentially within 500 m of the plant. Whilst the battery factory does appear to be a source of all the metals with the exception of Zn, emissions do not appear to be transported to any great extent over distances of more than 0.5 km. Topsoil and housedust concentrations of Pb, Zn, Cd, Cu, As and Sb in the general Mlada Boleslav area do not appear to be significantly different from those recorded in a large scale survey of urban soils in the United Kingdom. A comparison of housedust Pb concentrations in homes of plant workers and non-plant workers suggests that there may be a small input of Pb into the home environment by battery plant employees.     

微波消解-原子吸收光度法测定土壤中铜锌铅镉镍铬

用微波消解－原子吸收光度法测定土壤中铜，锌，铅，镉，镍和铬。通过硝酸－氢氟酸－过氧化氢体系消解液对土壤样品消解，选择出微波最佳消解条件。对硝酸－盐酸－过氧化氢体系消解液和硝酸－氢氟酸－过氧化氢体系消解液进行消解对比试验，发现前者不能将土壤样品完全消解，后者能将样品消解完全，但需将消解液中剩余的酸赶尽，否则测定结果将明显偏低。微波消解土壤与传统电热消解相比，操作简便快速，可提高工作效率。     

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.     

Biomagnification factors (fish to Osprey eggs from Willamette River,Oregon, U.S.A.) for PCDDs,PCDFs, PCBs and OC pesticides

A migratory population of 78 pairs of Osprey (Pandion haliaetus) nesting along the Willamette River in westernOregon was studied in 1993. The study was designed to determinecontaminant concentrations in eggs, contaminant concentrationsin fish species predominant in the Ospreys diet, andBiomagnification Factors (BMFs) of contaminants from fish specieseaten to Osprey eggs. Ten Osprey eggs and 25 composite samplesof fish (3 species) were used to evaluate organochlorine (OC)pesticides, polychlorinated biphenyls (PCBs), polychlorinateddibenzo-p-dioxins (PCDDs), and polychlorinated dibenzofurans(PCDFs). Mercury was also analyzed in fish. Geometric meanresidues in Osprey eggs were judged low, e.g., DDE 2.3 g g^-1 wet weight (ww), PCBs 0.69 g g^-1, 2,3,7,8-TCDD 2.3 ng kg^-1, and generally well below known threshold values for adverse effects on productivity, and the population was increasing. Osprey egg residue data presentedby River Mile (RM) are discussed, e.g., higher PCDDs were generally found immediately downstream of paper mills and eggsfrom the Willamette River had significantly elevated PCBs and PCDDs compared to reference eggs collected nearby in the CascadeMountains. Prey remains at nest sites indicated that the Largescale Sucker (Catostomus macrocheilus) and NorthernPikeminnow (Ptychocheilus oregonensis) accounted for an estimated 90.1% of the biomass in the Osprey diet, and composite samples of these two species were collected from different sampling sites throughout the study area for contaminant analyses. With the large percentage of the fishbiomass in the Osprey diet sampled for contaminants (and fisheaten by Ospreys similar in size to those chemically analyzed),and fish contaminant concentrations weighted by biomass intake, a mean BMF was estimated from fish to Osprey eggs for the largeseries of contaminants. BMFs ranged from no biomagnification(0.42) for 2,3,7,8-TCDF to 174 for OCDD. Our findings for themigratory Osprey were compared to BMFs for the resident HerringGull (Larus argentatus), and differences are discussed. Webelieve a BMF approach provides some basic understanding ofrelationships between contaminant burdens in prey species offish-eating birds and contaminants incorporated into their eggs,and may prove useful in understanding sources of contaminants inmigratory species although additional studies are needed.     

The Draft of the New German Guideline VDI 3782/8 to Model Automobile Exhaust Dispersion

The draft of the German guideline to calculate automobile exhaust dispersion is explained. It contains a two-stage-system: For first quick estimates the guideline contains the simple models MLuS and STREET. In case these models are not applicable or their results shows concentration levels close to the air quality standards, the more complex models PROKAS_V and MISKAM are recommended. PROKAS_V is a Gaussian plume model, MISKAM is a 3-dimensional microscale non hydrostatic flow model for built-up areas with an Eulerian dispersion model. The guideline comprises cases in rural areas without or with few adjacent buildings as well as urban areas with buildings near the roads. The contribution gives information about the models, typical results and some of the problems showing up presently.     

Hydrocarbon Utilization in Yeast Isolates Found to Grow in Association with Petroleum in a Polluted Ultisol of Midwestern Nigeria

The population counts of hydrocarbon-utilising yeasts weremonitored at six sampling stations in the Benin City municipalarea over a four-week period. Although the population countswere relatively constant in each locality, the highest countsoccurred in areas heavily polluted by domestic and industrialeffluents. A total of thirty-five hydrocarbon-degrading yeastswere isolated from soil at the sampling stations usingn-hexadecane as sole carbon source. The isolates were identifiedas belonging to the genera Candida (27 strains), Endomycopsis (4 strains). All the organisms grew on long-chainn-alkane, kerosene, diesel oil and crude oil but failed to growon short-chain n-alkane, aromatic and alicyclic hydrocarbons.Measurement of growth attributes of the isolates usingn-hexadecane, diesel oil and crude oil as substrates showed thatthe Candida species were better utilizers of hydrocarbonsubstrates relative to Endomycopsis and Schizosaccharomyces species.     

Hydrologic–Economic Model for Managing Irrigation Intensity in Irrigation Areas under Watertable and Soil Salinity Targets

This paper gives mathematical details and sample applications of SWAGMAN Farm (SWAGMAN, Salt Water and Groundwater Management), a farm-scale hydrologic economic model that integrates agronomic, climatic, irrigation, hydrogeological and economic aspects of irrigated agriculture. The model is capable of determining optimum mix of land use to keep watertable and soil salinity within acceptable limits while maximising the economic returns. Alternatively, the model can simulate water and salt balance and economics of a given cropping preference. Web-based and Geographic Information Systems versions of the model are available for integration with the environmental reporting systems of the irrigation areas.     

火焰原子吸收光谱法测定苏州开发区26种蔬菜中铜锌铁锰镍

用火焰原子吸收光谱法测定了苏州开发区26种蔬菜中的铜、锌、铁、锰和镍的含量。蔬菜样品用硝酸高氯酸混合酸进行消解。4次测定值的相对标准差<5%,加标回收率在92%～107%之间。26种蔬菜中铜、锌、铁、锰、镍的含量基本均在世贸组织规定的范围内。     

Cyanobacterial Flora from Polluted Marine Shores

Citation of cyanobacterial cultures from the shores of south west coast of Gujarat, India and their relationship with sea water quality, influenced by extensive pollutant runoff is reported in this study. Intensity of pollution was evaluated by physico-chemical analysis of water. Higher load of suspended solids (60–1000 mg l⁻¹) and nutrients (PO₄ ⁻P: 1.3–4 μmole l⁻¹ and NO₃ ⁻N: 12.5–17.8 μmole l⁻¹) were persistent throughout the analysis. Community structure is seen to be influenced by such persistent pollution. Twenty nine cyanobacterial species were isolated belonging to 9 genera of 4 families, with an elevated occurrence of Oscillatoria and Lyngbya species. No heterocystous cyanobacteria were isolated throughout the study.     

Using Multiple Taxonomic Groups to Index the Ecological Condition of Lakes

Biological indicators of communitiestypically reflect a common environmental signalreflecting the general condition of the ecosystem, as well asindividual signals by indicators differentiallysensitive to particular environmental conditions. Wedescribe here a method of integrating and interpretingsuch indicators from 19 New England lakes for fivetaxonomic groups (diatoms, benthos, zooplankton, fish,and birds). Our approach provides a systematicstandardized way to integrate multiple metrics fromdifferent taxonomic groups by addressing four elementscrucial to analyzing data from multiple indicators: covariate control, re-scaling of data, standardizing the sign of responses, and dimensional reduction. We evaluated the biologicalmetrics against individual environmental stressors andagainst multivariate physicochemical metricscharacterizing general anthropogenic stress among thelakes. The method detected a response to variationin the gross environmental condition of the lakes thatwas correlated across taxa and metrics. In addition,a differential response to near shore conditions wasdemonstrated for fish. The success of the approach inthis study lends support to its general application toecological monitoring involving complex data sets.