汽车排放共享检测——以南京市汽油车遥测试验结果为例

以南京市汽油车遥测试验结果为例,对汽油车的单次遥测数据与年检数据进行分析,结果表明,2组数据之间不存在相关性,这可能是由于车速等检测环境的差异造成的。整体遥测值的变化并不会随着年检值的增加或减少而呈现某一趋势,车辆的单次遥测数据并不具有代表性,不能作为车辆是否超标的判定依据。在对汽油车遥测不合格次数、排放限值设定、遥测年检时间间隔等分析中发现,若将汽油车的NO、CO遥测排放限值分别设为2 000×10-6和5%,当汽油车的遥测不合格次数≥5次,或汽油车的遥测不合格次数达到3次,同时这3次的遥测时间距离年检不超过60 d(遥测在前,年检在后),那么在这些遥测不合格车辆中,有80%以上的年检结果也不合格,遥测与年检的检测结果判定较为一致。虽然两者的检测方法和排放标准不同,但都能有效筛选出排放超标车辆,而且遥测法更快速,也无需停车检测,不影响车辆行驶。     

三峡库区消落带农用坡地磷素径流流失特征

消落带是三峡库区重要的生态交错带，但自发农用和无序开发可能会造成更多的氮磷流失，进而加剧三峡库区水体富营养化。通过对库区连续3 a的定位监测（2011~2013年），研究了三峡库区消落带农用坡地的磷素流失特征。结果表明：次降雨事件中常规施肥处理的地表径流、壤中流总磷平均浓度分别为0.848±0.153、0.140±0.006 mg/L，其中地表径流中磷的形态以颗粒态为主，壤中流以溶解态的生物可利用磷为主。常规施肥下，地表径流、壤中流磷素年均流失通量分别为0.236±0.004、0.100±0.003 kg·hm 2，地表径流、壤中流磷素流失通量分别占总流失通量的70.2%、29.8%，地表径流是坡地磷素流失的主要途径，但壤中流也是不可忽视的重要途径。与常规施肥处理相比，减量施肥处理地表径流、壤中流磷素流失量分别降低了45.3%、40.0%。建议采取减量施肥的方式，以降低营养盐负荷，保护水环境。     

流域绿水管理博弈建模及应用分析

绿水资源表示水循环通过降水渗透入土壤非饱和层并由植物蒸腾或土壤蒸发返回大气层的水汽，是农业作物生产的重要基础，但是通常被传统流域水资源管理所忽视。基于流域水量平衡和蓝水绿水综合思维，将绿水资源纳入流域水资源管理体系。在绿水信贷理念和博弈建模分析框架下，结合SWAT分布式水文模型、多目标优化及情景比较分析，利用绿水管理措施合理优化配置流域蓝水绿水资源，采用绿水生态补偿协调处理上下游利益冲突的博弈问题，探索性地提出了流域绿水管理博弈框架。该框架通过博弈建模可以识别分析流域绿水管理问题的博弈空间、博弈结构和纳什均衡等博弈特征；通过合作博弈约束条件改进的多目标优化，可以计算流域绿水管理情景的绿水补偿标准和帕累托最优收益。将建立的绿水管理博弈框架应用于涟水流域实例研究，NSE、R2、PBIAS、p-factor与r-factor等模拟效果评价和不确定性分析结果表明，涟水流域SWAT分布式水文模型的蓝水绿水模拟均达到可信程度。上下游收益变化、绿水补偿标准与帕累托最优解集等博弈分析结果显示，涟水流域整体社会经济与生态环境收益明显改善，其帕累托最优收益平均增长2.72亿元/a，年均绿水补偿标准折合1.94、1 253.7元/hm²。实例分析表明提出的绿水管理博弈框架在涟水流域具有较好的适用性和可行性。因此，该方法可以为流域蓝水绿水管理试点研究及其绿水补偿标准核定提供相关理论依据和技术参考，具有一定程度的的应用价值和现实意义。     

Comparisons of three plant species in accumulating polycyclic aromatic hydrocarbons (PAHs) from the atmosphere: a review

Environmental Science and Pollution Research - Plant leaves play a key role in the accumulation of PAHs, as they are able to capture PAHs from the air. In this paper, the mechanism, including...     

CFCs生产企业废水及产品成分快速检测分析

采用车载GC-MS技术,建立了顶空-GC-MS方法对CFCs产品组分及排污废水中三氯一氟甲烷、二氯二氟甲烷、四氯化碳等成分进行监测分析,实现了快速鉴定企业是否违规生产CFCs相关产品,对于判定企业是否违规提供技术依据。同时,采用顶空-GC/ECD方法对废水中的四氯化碳进行定量分析,以排查企业是否超标排污。     

气相色谱-质谱法测定大气中98种挥发性有机物

通过色谱-质谱联用法(简称GC-MS),利用低温冷阱技术对大气中的VOCs进行浓缩富集,然后经过加热解吸分别至毛细管色谱柱和FID检测器及MS检测器,对大气中98种挥发性有机化合物(VOCs)进行分离、定性、定量测定。方法检出限为0.008×10-9~0.100×10-9(V/V);线性相关系数的平方值为0.992 7~1,相对标准偏差为4.0%~20.2%,总体标准偏差为0.154 2~0.952 1。     

Deriving fuel-based emission factor thresholds to interpret heavy-duty vehicle roadside plume measurements

Remote sensing devices have been used for decades to measure gaseous emissions from individual vehicles at the roadside. Systems have also been developed that entrain diluted exhaust and can also measure particulate matter (PM) emissions. In 2015, the California Air Resources Board (CARB) reported that 8% of in-field diesel particulate filters (DPF) on heavy-duty (HD) vehicles were malfunctioning and emitted about 70% of total diesel PM emissions from the DPF-equipped fleet. A new high-emitter problem in the heavy-duty vehicle fleet had emerged. Roadside exhaust plume measurements reflect a snapshot of real-world operation, typically lasting several seconds. In order to relate roadside plume measurements to laboratory emission tests, we analyzed carbon dioxide (CO₂), oxides of nitrogen (NO_X), and PM emissions collected from four HD vehicles during several driving cycles on a chassis dynamometer. We examined the fuel-based emission factors corresponding to possible exceedances of emission standards as a function of vehicle power. Our analysis suggests that a typical HD vehicle will exceed the model year (MY) 2010 emission standards (of 0.2 g NO_X/bhp-hr and 0.01 g PM/bhp-hr) by three times when fuel-based emission factors are 9.3 g NO_X/kg fuel and 0.11 g PM/kg using the roadside plume measurement approach. Reported limits correspond to 99% confidence levels, which were calculated using the detection uncertainty of emissions analyzers, accuracy of vehicle power calculations, and actual emissions variability of fixed operational parameters. The PM threshold was determined for acceleration events between 0.47 and 1.4 mph/sec only, and the NO_X threshold was derived from measurements where after-treatment temperature was above 200°C. Anticipating a growing interest in real-world driving emissions, widespread implementation of roadside exhaust plume measurements as a compliment to in-use vehicle programs may benefit from expanding this analysis to a larger sample of in-use HD vehicles.

Implications: Regulatory agencies, civil society, and the public at large have a growing interest in vehicle emission compliance in the real world. Leveraging roadside plume measurements to identify vehicles with malfunctioning emission control systems is emerging as a viable new and useful method to assess in-use performance. This work proposes fuel-based emission factor thresholds for PM and NOx that signify exceedances of emission standards on a work-specific basis by analyzing real-time emissions in the laboratory. These thresholds could be used to prescreen vehicles before roadside enforcement inspection or other inquiry, enhance and further develop emission inventories, and potentially develop new requirements for heavy-duty inspection and maintenance (I/M) programs, including but not limited to identifying vehicles for further testing.     

液液萃取-气相色谱法测定水质可萃取性石油烃C10~C40

建立了以环己烷为萃取剂、气相色谱法(氢火焰离子化检测器,FID)测定水质样品中可萃取性石油烃(C_(10)～C_(40))的分析方法。以正构烷烃混合标准溶液为定性和定量校准标准,以色谱峰面积总和与混合标准溶液总浓度建立校准曲线进行外标法定量。方法检出限为0.01 mg/L,经验证方法精密度和准确度良好。同时,分别以气相色谱法和红外光度法测定了地表水、污水处理厂出水、海水和化工废水等实际样品,对比实验结果表明,在可萃取性石油烃C_(10)～C_(40)的碳数范围内,气相色谱法的测试结果与红外光度法无明显差异,有较好的可比性。     

石墨相氮化碳协同UV-H_2O_2光催化降解亚甲基蓝

以三聚氰胺为前驱体,经热解—回流法制备了石墨相氮化碳(g-C3N4),采用XRD、FTIR、SEM、EDS、PL等技术对g-C_3N_4进行了表征。研究了g-C_3N_4在UV-H_2O_2体系中对废水中亚甲基蓝(MB)的光降解效果。实验结果表明,UV+g-C_3N_4催化剂+H_2O_2体系能协同降解MB,在初始MB质量浓度为20 mg/L、初始废水p H为5、废水体积为250 mL、g-C_3N_4加入量为0.10 g、H_2O_2浓度为0.4 mmol/L、反应温度为25℃的优化工艺条件下,紫外光照射70 min时MB脱色率达98.32%。g-C_3N_4催化剂具有较好的重复使用性能,使用5次后MB脱色率仍保持在95.10%。     

高效石油烃降解菌的筛选及其对原油污染土壤的修复

从陕北原油污染土壤中筛选出7株高效石油烃降解菌,其中黄杆菌属CC-2、不动细菌属SC-5、假单胞菌属SC-6表现出较强的石油烃降解能力。通过单因素试验和正交试验考察总石油烃(TPH)降解效果的影响因素,得出各因素对TPH降解率影响程度的大小次序为:溶液p H降解温度降解菌接种量摇床转速,且在降解菌接种量为7%(φ)、溶液p H为7、降解温度为30℃、摇床转速为150 r/min的最适处理条件下,菌株SC-6的TPH降解率可达61.23%。原油污染土壤生物修复实验结果表明:高效石油烃降解菌的投加有利于土壤TPH降解率和酶活性的提高;"菌株SC-6+营养剂"组修复处理42 d后的TPH降解率可达57.59%。