晋江流域污染负荷空间分布及关键源区识别

提出了利用水文和水质同步监测资料计算流域污染负荷空间分布的一般程序,并探讨了采用污染负荷贡献与集水区面积占比关系识别流域污染关键源区的方法,并在晋江流域进行了实例应用.结果表明:晋江下游取水口金鸡断面污染负荷主要来自东溪和西溪,枯水期CODMn、NH3-N和TP负荷分别是226.8、27.1和17.1g/s,占丰、平水期的18%~67%.丰、枯水期东溪和西溪对金鸡断面污染负荷贡献基本相当,而平水期西溪贡献显著大于东溪.晋江流域污染关键源区分别为蓬壶-长厅桥区间、长厅桥-港龙区间、横口-园美区间等5个断面区间,该关键源区识别方法不仅较好反映了污染物浓度和污染负荷在流域内的空间分布,同时还指出了主要污染物及敏感时期,可为后期的污染治理提供依据.本研究提出的污染负荷贡献计算程序以及关键源区识别方法具有较好的普适性,可为其他流域提供借鉴.     

以稻秆为固体碳源处理分散养猪冲洗水的试验研究

针对分散养猪废水经厌氧和人工湿地处理后存在C/N低的问题,以廉价的稻秆作为固体碳源和生物膜载体,研究反应器启动阶段运行性能、水力负荷的影响以及污染物沿程去除特性.结果表明NO3--N主要在反应器上部稻秆填充层被去除,去除率超过95%,且无明显NO2--N积累,反硝化速率为0.052mg/(g·h).稻秆本身会浸出释放有机物和氮(主要为NH4+-N),导致运行前期出水COD和NH4+-N高于进水,但仍远低于《畜禽养殖业污染物排放标准》(GB18596-2001)的排放限值,40d后COD逐步降至40mg/L左右.COD和NO3--N可在反应器下部的砖渣填充层被进一步去除.     

公路线源大气环境影响预测方法对比分析研究

文章通过从模式原理、范围和特点等方面对AERMOD大气预测模式与EIAA预测模式进行对比分析,以甘肃省天水段G310国道升级改造项目为例,分别采用AERMOD和EIAA两种模式对交通线源排放的特征污染因子CO在各环境空气敏感点的小时最大浓度进行预测,并对预测值与实测值进行对比分析,探讨两种模式在公路线源大气环境影响预测中的适用性及差异性。以期为今后开展道路交通类建设项目大气环境影响预测评价中模式的选取提供参考和借鉴。     

燃煤电厂可凝结颗粒物的测试与排放

建立了固定源可凝结颗粒物(condensable particulate matter,CPM)采样-分析方法,开发了CPM采样配件,与EPA Method202方法进行比对后应用于燃煤电厂.结果表明燃煤电厂CPM排放均值为(21.2±3.5)mg·m-3,同步使用国标方法测得的FPM为(20.6±10.0)mg·m-3;高效除尘器可有效降低FPM的排放水平,但对CPM无太大影响.高效除尘改造后CPM对TPM的贡献将有所提高,应引起足够的重视.CPM中冷凝液贡献了68%,滤膜为32%,有机组分较少,为1%.     

降雨对城市草坪温室气体源汇效应的影响

利用静态箱法研究了夏季降雨对上海市城市草坪温室气体排放的影响,结果表明,晴天上海市城市草坪是N_2O和CO_2的源,CH_4的汇;降雨会削弱N_2O和CO_2排放,使得草坪由CH_4的汇转变为排放源。N_2O通量在晴天和雨后分别为1.37±3.47和1.06±2.67μmol/(m2·h),CO_2通量在晴天和雨后分别为13.33±8.59和6.46±2.61mmol/(m~2·h),CH_4通量在晴天和降雨后分别为-0.08±3.77和0.22±6.27μmol/(m~2·h)。明暗箱对比实验显示,草坪生态系统能有效缓解土壤对大气N_2O和CO_2的贡献。N_2O和CO_2通量与光合有效辐射和温度呈显著负相关(p0.01),CH_4和二者相关性不显著。降雨通过降低光合作用和温度,间接削弱城市草坪CO_2和N_2O的排放。降雨可能通过提高含水率抑制城市草坪对CH_4的吸收,促进其排放。     

山东省临沂市土壤有机氯农药滴滴涕残留量与空间分布特征

通过对临沂市全区表层土壤每36 km2进行样品收集,测试分析了DDTs、Org C、N等指标,主要研究了区域表层土壤DDTs的残留现状、组成和来源、影响因素、空间分布和环境质量特征.结果表明,调查区表层土壤中DDTs检出率为71.75%,平均含量为0.035μg·g-1;检出样品中p,p'-DDT和p,p'-DDE为主要残留物,平均残留分别为0.033μg·g-1和0.010μg·g-1,分别占检出样的60.99%和34.62%.DDTs降解率指示区域58%表层土壤为新近输入区,新近输入区在调查区中南部分布尤为明显;而p,p'-DDD/p,p'-DDE指示区域DDTs降解以氧化环境为主,o,p'-DDT/p,p'-DDT指示71.37%区域土壤DDTs输入可能与工业级DDTs有关.相关分析表明,影响土壤DDTs分布的外在因素包括土壤Org C、N、C和p H等指标,且DDTs中p,p'-DDT组分占比越高,影响越明显.DDTs的空间分布具明显点源特征,市县周围均出现明显浓集中心,中南部部分区域浓度明显较高.全区DDTs土壤环境质量污染程度较低,主要以一二类土壤为主,分别占78.95%和21.05%.     

河流型饮用水水源保护区划分技术方法研究--以淮河淮南段某水厂为例

划定饮用水水源地保护区是保护环境、确保供水质量的有效手段。通过对国内外饮用水水源保护区划分方法的研究进程分析,以HJ/T 338—2007《饮用水水源保护区划分技术规范》为依据,通过实例研究河流型水源保护区划分技术方法。     

Composition and source apportionment of dust fall around a natural lake

The aim of this study was to determine the source apportionment of dust fall around Lake Chini, Malaysia. Samples were collected monthly between December 2012 and March2013 at seven sampling stations located around Lake Chini. The samples were filtered to separate the dissolved and undissolved solids. The ionic compositions(NO-3, SO2-4, Cl-and NH+4) were determined using ion chromatography(IC) while major elements(K, Na, Ca and Mg) and trace metals(Zn, Fe, Al, Ni, Mn, Cr, Pb and Cd) were determined using inductively coupled plasma mass spectrometry(ICP-MS). The results showed that the average concentration of total solids around Lake Chini was 93.49 ± 16.16 mg/(m2·day). SO2-4, Na and Zn dominated the dissolved portion of the dust fall. The enrichment factors(EF) revealed that the source of the trace metals and major elements in the rain water was anthropogenic, except for Fe. Hierarchical agglomerative cluster analysis(HACA) classified the seven monitoring stations and 16 variables into five groups and three groups respectively. A coupled receptor model, principal component analysis multiple linear regression(PCA-MLR), revealed that the sources of dust fall in Lake Chini were dominated by agricultural and biomass burning(42%),followed by the earth's crust(28%), sea spray(16%) and a mixture of soil dust and vehicle emissions(14%).     

连云港蔷薇河非点源污染的调查分析

调查分析蔷薇河非点源废水排放情况,结合相关统计资料,核算出蔷薇河非点源废水污染物的排放量。结论表明,农田回归水污染是蔷薇河水体非点源污染的主要因素。     

Gas/particle partitioning of atmospheric PCDD/Fs in a satellite town in Eastern China

Gas/particle partitioning of polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) in ambient air was investigated in a satellite town in Eastern China from April 2007 to January 2008 comprehending large temperature variations (from 3 to 34 °C, daily average). Molecular weight, molecular structure and ambient temperatures are the three major factors that govern the gas/particle partitioning of atmospheric PCDD/Fs throughout the year. Generally, good agreements were obtained (except for winter) between measured particulate fractions and theoretical estimates of both the Junge–Pankow adsorption model and Harner Bidleman absorption model using different sets of subcooled liquid vapor pressure and octanol–air partition coefficient (K_oa), respectively. Models utilizing estimates, derived from gas chromatographic retention indices (GC-RIs), are more accurate than that of entropy-based. Moreover, during winter, the K_oa-based model using the GC-RIs approach performs better on lower chlorinated PCDD/Fs than that of -based. Furthermore, possible sources of mismatch between measured and predicted values in winter (3–7 °C) were discussed. Gas adsorption artifact was demonstrated to be of minor importance for the phenomena observed. On the other hand, large deviations of slopes (m_r) and intercepts (b_r) in logK_p vs. plots from theoretical values are observed in the literature data and these are found to be linearly correlated with ambient temperatures (P<0.001) in this study. This indicates that the non-equilibrium partitioning of PCDD/Fs in winter may be significantly influenced by the colder temperatures that may have slowed down the exchange between gaseous and particulate fractions.