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991.
天山乌鲁木齐河源1号冰川气溶胶可溶性离子观测与分析研究 总被引:2,自引:0,他引:2
基于2003年、2004年和2007年3年内共采集的155个气溶胶样品的分析测试,探讨了天山乌鲁木齐河源1号冰川区气溶胶中可溶性离子的组成及年际变化特征,并对其可能来源进行了分析.结果表明,气溶胶可溶性离子平均浓度为2.759μg·m-3,化学组成以NO-3、SO2-4、Ca2+和CO2-3为主,冰川区大气环境呈碱性.可溶性离子总质量浓度年际变化特征为2007年2004年2003年,主要离子组成没有发生明显变化,但单一离子浓度变化不尽相同,其原因主要与沙尘活动的强弱有关.Ca2+、Na+、Mg2+、CO2-3和Cl-主要可能来自陆源矿物,而NO-3和NH+4很大程度上以人为源为主;并且发现,SO2-4和K+可能同时受陆地源与人类活动来源的影响.通过气团轨迹聚类分析得出,冰川区大气主要受来自西南方、西方及西北方3个方向气团的控制,这些气团均经过伊犁河谷或阿拉山口到达冰川区,其中,在距地面2000 m以下高度传输的气团会带来大量的沙尘物质,影响冰川区大气环境. 相似文献
992.
依据2000—2012年每月1次的调查资料,简要描述和讨论了深圳湾及邻近沿岸水域中溶解无机磷(DIP)质量浓度的时空分布,并结合盐度(S)和溶解无机氮实测数据探讨DIP的来源和氮:磷(N∶P)原子比.结果表明,深圳湾和珠江口东南沿岸中DIP质量浓度分别为(0.184±0.167)mg·L-1和(0.025±0.013)mg·L-1.在深圳湾,由于受到周边陆源排放的影响,DIP质量浓度在丰水期较低,枯水期较高.在珠江口东南沿岸,由于受到多个环境因子的制约,DIP质量浓度在夏秋季较高,冬春季较低.2000—2012年珠江口东南沿岸DIP质量浓度的年际变化趋势基本上保持平稳;深圳湾DIP质量浓度在2000—2004年呈上升趋势,从0.173 mg·L-1上升至0.236 mg·L-1,2005—2012年则呈下降趋势,从0.221mg·L-1下降至0.120 mg·L-1;2000—2012年深圳湾和珠江口东南沿岸N∶P原子比的年际变化均呈上升趋势,分别从31.8和41.5上升至44.9和60.1.研究海区中的DIP具有"保守性",主要来自陆源排放.依二元混合质量平衡模式估算的珠江口东南沿岸DIP的陆源质量分数约为63.0%,而深圳湾的都87%.研究海区中N∶P原子比高达48.3±36.9,暗示磷是初级生产的潜在限制因子. 相似文献
993.
南黄海南部海域表层沉积物重金属来源解析及风险评价 总被引:3,自引:1,他引:2
基于2012年夏季对南黄海南部海域的调查资料,分析了表层沉积物中7种重金属元素的含量分布特征;采用多元统计分析,揭示了研究区表层沉积物重金属污染的主要来源及各元素之间的相关性;应用地质累积指数法和Hakanson潜在生态风险指数法对重金属元素进行了污染及风险分析.结果表明:Cd、Pb的含量均符合国标规定的一类沉积物标准,Zn、Cu、Cr在绝大部分站位也都低于国标规定的一类沉积物的最高标准,仅在个别站位处达到二类或三类沉积物标准;除Cr、Cd、Mn外,其余各重金属与Al2O3、平均粒径之间有显著的相关性,表明它们均以自然来源为主,并受到沉积物粒度的控制,遵循"元素的粒度控制律";Cr、Cd、Mn与Al2O3的相关系数较小,表明其可能受到人为污染源的影响.通过主成分分析和聚类分析可将7种重金属元素辨识为2个主成分,PC1(Zn、Cu、Pb、Fe、Mn)为自然源因子,PC2(Cr、Cd)为工农业源因子;其中,Cr、Cd在PC1和PC2上均具有一定的正载荷,受自然地质背景和人类活动的共同控制.地质累积指数法评价结果表明,Zn、Cu、Cd、Pb整体均处于清洁级别,而Cr则处于轻微污染水平,污染程度排序依次为CrPbCdZnCu;潜在生态风险评价结果表明,各元素潜在生态危害等级排序依次为CdPbCuCrZn,Cr、Zn、Cu和Pb均为低生态危害等级,Cd以低中等生态危害等级为主,局部出现较重生态危害等级,综合潜在生态风险评价为低度. 相似文献
994.
In this research nanocatalysts containing 5, 10 and 15 wt.% of Ni, dispersed by sonication over CeO2–clinoptilolite composite support were compared toward total oxidation of toluene. Their catalytic performance at different temperatures between 150 and 350 °C was studied based on the oxidative destruction of toluene. The results indicated that the activity of Ni/CeO2–clinoptilolite nanocatalyst for toluene oxidation increased from 33 to 44% at 250 °C by employing sonochemical method in synthesis of catalyst. Meanwhile, the catalytic activity was also improved when Ni content was increased from 5 to 10 and 15 wt.%. With the aid of several characterization techniques like XRD, FESEM, PSD, EDX, BET and FTIR, the correlation between nanocatalyst structure and its activity was addressed. It is indicated that sonochemical method can lift the catalytic activity due to the better dispersion of catalyst active components and also higher surface area. Among sonicated samples, 15 wt.% Ni nanocatalyst showed the highest toluene oxidation due to the better dispersion of catalyst active components and hence to more effective catalytic sites. 相似文献
995.
The source water in one forest region of the Northeast China had very high natural organic matter (NOM) concentration and heavy color during snowmelt period. The efficiency of five combined treatment processes was compared to address the high concentration of NOM and the mechanisms were also analyzed. Conventional treatment can hardly remove dissolved organic carbon (DOC) in the source water. KMnO4 pre-oxidization could improve the DOC removal to 22.0%. Post activated carbon adsorption improved the DOC removal of conventional treatment to 28.8%. The non-sufficient NOM removal could be attributed to the dominance of large molecular weight organic matters in raw water, which cannot be adsorbed by the micropore upon activated carbon. O3 + activated carbon treatment are another available technology for eliminating the color and UV254 in water. However, its performance of DOC removal was only 36.4%, which could not satisfy the requirement for organicmatter. The limited ozone dosage is not sufficient to mineralize the high concentration of NOM. Magnetic ion-exchange resin combined with conventional treatment could remove 96.2% of color, 96.0% of UV254 and 87.1% of DOC, enabling effluents to meet the drinking water quality standard. The high removal efficiency could be explained by the negative charge on the surface of NOM which benefits the static adsorption of NOM on the anion exchange resin. The results indicated that magnetic ion-exchange resin combined with conventional treatment is the best available technology to remove high concentration of NOM. 相似文献
996.
Atmosphericmixing ratios of carbonyl sulfide (COS) in Beijingwere intensivelymeasured from March 2011 to June 2013. COS mixing ratios exhibited distinct seasonal variation, with a maximumaverage value of 849 ± 477 pptv in winter and a minimal value of 372 ± 115 pptv in summer. The seasonal variation of COS was mainly ascribed to the combined effects of vegetation uptake and anthropogenic emissions. Two types of significant linear correlations (R2 > 0.66) were found between COS and CO during the periods from May to June and from October to March, with slopes (ΔCOS/ΔCO) of 0.72 and 0.14 pptv/ppbv, respectively. Based on the emission ratios of COS/CO from various sources, the dominant anthropogenic sources of COS in Beijing were found to be vehicle tire wear in summer and coal burning in winter. The total anthropogenic emission of COS in Beijing was roughly estimated as 0.53 ± 0.02 Gg/year based on the local CO emission inventory and the ΔCOS/ΔCO ratios. 相似文献
997.
济南市秋末冬初大气颗粒物和气体污染物污染水平及来源 总被引:4,自引:2,他引:2
2009年11月23日─12月7日在济南市区对PM2.5、BC(黑碳)和污染物(SO2、NOx、NO、NO2和CO)进行实时监测与分析.观测期间ρ(PM2.5)、φ(SO2)和φ(NOx)分别为171μg/m3、54.3×10-9和107×10-9.其中,φ(SO2)与GB 3095─1996《环境空气质量标准》日标准值相当,φ(NOx)是标准的2.2倍,ρ(PM2.5)是美国环境空气质量标准(35μg/m3)的4.89倍.污染事件期间ρ(PM2.5)、φ(SO2)和φ(NOx)分别达到222μg/m3、74.4×10-9和158×10-9,是非污染期间的1.78、1.67和1.77倍.观测期间SO2主要来源于燃煤排放.在11月25─26日的污染事件中,NOx、BC和PM2.5主要来源于机动车尾气排放,除局地源外,东北风经过济南东北部工业区时也将污染物传输到采样点;而在12月1─2日的污染事件中,以静风为主,污染物积聚,NOx和BC主要来源于机动车尾气排放,PM2.5除了一次污染物,很可能包含一定比例的二次污染物.在非污染事件中,NOx和BC主要来源于机动车尾气排放,部分NOx很可能来源于燃煤排放,而PM2.5主要来源于一次源排放. 相似文献
998.
Despite the existence of industry models for estimating the crater width formed by the explosion of natural gas pipelines, their applicability is still limited since the complex formation mechanisms. In this work, a novel hybrid model was developed to predict crater width formed by explosions of natural gas pipelines, using artificial neural networks (ANN) as the fundamental predictor. Based on the historical accident records, the proposed hybrid model was trained by the pipeline parameter, the operating condition, the installation parameter, and the crater width. A novel nature-inspired optimization algorithm, i.e., the Lévy-Weighted Quantum particle swarm optimization (LWQPSO) algorithm, was proposed to optimize the ANN model's parameters. Three machine learning models were developed for comparative reasons to predict the crater width. The use of precision and error analysis indicators assesses prediction performance. The results show that the proposed hybrid model (LWQPSO-ANN) has high prediction accuracy and stability, which outperforms QPSO-ANN-based benchmark hybrid models and the model without an optimizer (Support Vector Machine, SVM). The parameter sensitivities of the proposed algorithm, including the maximum number of iterations, population size and contraction-expansion coefficient, were determined. The proposed hybrid model is expected to support the quantitative risk assessment (QRA), Right-of-Way (ROW) definition and the inherently safer design of the underground parallel pipelines. 相似文献
999.
1000.