基于VMAS四川省在用点燃式轻型车尾气污染削减预测

针对四川省在用车辆尾气污染情况开展了详细的调查研究,结果表明四川省机动车尾气污染中约71.3%的CO、68.6%的HC、95.3%的NOx和99.2%的PM均来自于汽车尾气。同时分析得出简易瞬态工况法是在用车辆尾气排放控制的有效控制方法,有利于四川省大气环境质量的改善,经预测采用简易瞬态工况法以及简易瞬态工况法排放标准后可使四川省在用点燃式轻型车尾气排放的CO削减约28.76%~50.48%,HC+NOx削减约1.53%~23.24%。     

Load Estimation Method Using Distributions with Covariates: A Comparison with Commonly Used Estimation Methods

Load estimates obtained using an approach based on statistical distributions with parameters expressed as a function of covariates (e.g., streamflow) (distribution with covariates hereafter called DC method) were compared to four load estimation methods: (1) flow‐weighted mean concentration; (2) integral regression; (3) segmented regression (the last two with Ferguson's correction factor); and (4) hydrograph separation methods. A total of 25 datasets (from 19 stations) of daily concentrations of total dissolved solids, nutrients, or suspended particulate matter were used. The selected stations represented a wide range of hydrological conditions. Annual flux errors were determined by randomly generating 50 monthly sample series from daily series. Annual and interannual biases and dispersions were evaluated and compared. The impact of sampling frequency was investigated through the generation of bimonthly and weekly surveys. Interannual uncertainty analysis showed that the performance of the DC method was comparable with those of the other methods, except for stations showing high hydrological variability. In this case, the DC method performed better, with annual biases lower than those characterizing the other methods. Results show that the DC method generated the smallest pollutant load errors when considering a monthly sampling frequency for rivers showing high variability in hydrological conditions and contaminant concentrations.     

规模化养殖的中国荷斯坦奶牛产污系数模型的确定

以近期中国荷斯坦奶牛产污系数试验资料为基础,分析饲料摄入量及成分与排出粪污污染物之间的关系,建立了奶牛产污系数模型并进行了验证.结果表明:育成牛排粪量可用采食量、摄入氮、摄入磷和摄入铜4因子预测,其模型拟合度高于产奶牛;育成牛排氮量可用采食量、摄入氮两因子预测,产奶牛的排氮量可用摄入氮预测;产奶牛和育成牛的排磷量均可用摄入磷预测.该模型由于包括了不同季节、不同样本、不同奶牛养殖场等影响因素,使结果具有广泛的适用性,可用于分析中国荷斯坦奶牛养殖对环境的污染及粪污农田的消纳利用.     

太湖流域宜溧河酚类内分泌干扰物的空间分布及风险评价

以NP(nonylphenol,壬基酚)、4-t-OP(4-t-octylphenol,辛基酚)和BPA(bisphenol A,双酚A)为目标物质,研究酚类EDCs(内分泌干扰物)在太湖流域宜溧河地表水体和悬浮物中的空间分布特征及风险评价. 结果表明,太湖流域宜溧河地表水体中ρ(NP)、ρ(4-t-OP)和ρ(BPA)分别为156.2～434.0、11.8～19.4和89.8～353.8 ng/L,悬浮物中w(NP)、w(4-t-OP)和w(BPA)分别为520.0～9 818.2、52.0～454.5和39.0～2 454.5 ng/g. 流域内生活及工业污水排放可能是宜溧河流域水体中酚类EDCs的主要来源,ρ(NP)与ρ(NO₃-)呈显著正相关(R=0.860,P<0.01). 宜溧河水系中酚类EDCs在水相-悬浮物相的有机碳标准分配系数为4.14～6.41,表明悬浮颗粒物的吸附是水体中EDCs迁移的一个重要途径. 研究区域中NP、4-t-OP和BPA的入湖量分别为506、57.9和297 kg/a. 风险评价结果表明,该地区部分河段ρ(EDCs)具有潜在的生态风险.      

青年湖沉积物中氮赋存形态的季节性变化

通过对青年湖中心区和浅滩区近1 a的野外观测,分析其沉积物、间隙水和上覆水中TN、EN(可交换态氮)和Fixed-NH4+-N(固定态铵)的含量及表层沉积物Eh和温度的季节变化.结果表明:沉积物中w(TN)较高,且中心区大于浅滩区;NH4+-N是沉积物中EN的主要形式,约占w(EN)的95%,是氮自沉积物向表层水扩散的主要形态;沉积物中w(NO3--N)和w(NO2--N)较低;青年湖沉积物具有较强的吸持Fixed-NH4+-N的能力,浅滩区和中心区w(Fixed-NH4+-N)占w(TN)的比例分别为18.57%和20.84%,Fixed-NH4+-N是潜在氮源;沉积物中w(可交换态NH4+-N)和w(Fixed-NH4+-N)呈现春、夏季降低,秋、冬季升高的变化趋势,w(NO3--N)呈春、夏季升高而秋、冬季降低的变化趋势,且浅滩区变幅大于中心区;植物根系、温度的季节性变化可改变表层沉积物的还原环境,进而影响氮的硝化-反硝化作用和矿化作用.      

一体式MBR污泥特性及对其过滤性能的影响

研究了一体式MBR长期不排泥运行的污泥特性变化,考察了水力停留时间、曝气量等因素对污泥增长特性、污泥颗粒粒径分布及膜过滤性能的影响,并探讨了这些因素之间的关系。结果表明:水力停留时间越短,MLSS与MLVSS增加越快,膜污染加速,膜过滤阻力增加越快,但MBR中污泥浓度的增长、变化对出水COD的影响不明显;污泥平均粒径随SRT的延长而减小,实验结束污泥粒径最小值为0.6μm大于实验用膜的孔径0.2μm,表明混合液中的微细颗粒污泥未对膜通量的下降起决定性作用,膜表面污泥的沉积对膜通量影响更大一些,增加曝气强度可以明显改善MBR的过滤性能。     

Dissolved and dispersed petroleum hydrocarbons in the Aegean Sea

The distribution and transportation of Dissolved and Dispersed Petroleum Hydrocarbon (DDPH) were investigated in the Aegean Sea with the hydrodynamics of the water masses of the region. It is clear that distribution of this pollutant is strongly affected by physical dynamics of environment. The data were collected during cruises in November 1994, in the framework of National Marine Measurement and Monitoring Programme in the Aegean Sea. In the present study additionally the Chlorophyll‐a was measured fluorometrically and there is good correlation between petroleum hydrocarbon and chlorophyll‐a in the Aegean Sea. DDPH data was used to search origin of hydrocarbons: biogenic or non biogenic.     

持续性降水气象条件下土壤/大气间汞通量特征

为研究自然条件下地表大气间汞交换通量特征及其影响因素,2012年4月22~25日在位于松花江上游的夹皮沟金矿,使用动态通量箱法(dynamic flux chamber, DFC)与汞分析仪(LUMEX Zeeman RA915+)联用技术测定了在持续性降雨气象条件控制下矿区土壤大气间汞交换通量,同步测定了近地面垂向0~150cm范围内大气汞浓度以及太阳辐射强度和大气温湿度,并分析了汞交换通量与降水条件下气象因子间相关关系.结果表明:在持续性降雨条件控制下,地表大气间的汞交换通量表现为沉降与释放过程连续交替出现特征,这与晴朗天气条件下日型汞通量单峰结构明显不同.降水间歇期土壤大气间汞交换通量在坡耕农田采样点依次为(-2.08±6.11)、(-6.16±33.57)、(-3.20±8.64)和(5.06±18.80)ng/(m2·h);在谷底漫滩采样点依次为(-5.21±6.42)、(3.87±28.12)、(-11.87±14.10)和(-9.44±12.23)ng/(m2·h).在局地范围内,地形条件差异影响不同地表和近地面大气系统能量收支,并使近地面大气汞浓度和气象因子发生变化,进而影响地表大气间汞交换通量过程和水平.持续性降水条件下,地表和大气间汞交换通量与太阳辐射强度和大气湿度间具有较为明显的正线性相关关系,与大气汞浓度和大气温度间无明显线性相关关系.     

Diel and seasonal methane flux across water–air interface of a subtropic eutrophic pond

Abstract

Methane, which is an important greenhouse gas, has received less attention regarding its flux in ponds. Small ponds, whose area only occupies approximately 8.6%, comprise the bulk of CH₄ efflux from lakes and ponds on a global scale. However, temporal and spatial variability, as well as consequences of CH4 fluxes from ponds, remains unknown. The aim of this study was to examine using 4 field experiments diel methane (CH₄) fluxes from a subtropic eutrophic pond in different seasons. For the eutrophic pond, the mean CH₄ efflux for all seasons was 1.772?mg/m²/h, and CH₄ emissions in summer were approximately three-fold higher than total of winter, spring, and autumn. Methane diffusive emissions were positively correlated with water temperature, dissolved oxygen (DO) and air temperature but negatively related to pH and to the difference between water temperature and air temperature. The diel diffusive CH₄ flux among different seasons varied significantly. The CH₄ bubble flux did not differ markedly in winter, spring and autumn, but the quantity in summer was significantly different from all other seasons. Bubble is the main pathway for CH₄ emissions. The CH₄ ebullition flux accounts for 66, 71, 97 and 98% of the total in winter, spring, summer and autumn, respectively. On an annual scale, the CH₄ ebullition flux accounts for 77% of the total fluxes (diffusive?+?ebullitive). Our results show that further investigations need to be carried out to probe temporal variability of CH₄ fluxes in ponds located in different climate zones for better understanding of the global carbon budget, which is critical to predict future climate changes.