Correlation between automotive CO, HC, NO, and PM emission factors from on-road remote sensing: implications for inspection and maintenance programs

Carbon monoxide (CO), hydrocarbon (HC), and nitrogen oxide (NO) emission factors (EFs) are measured with a commercial vehicle emissions remote sensing system (VERSS) during a large-scale vehicle exhaust emissions study in Las Vegas. Particulate matter (PM) EFs are simultaneously measured for individual vehicles with a newly developed PM-VERSS based on ultraviolet backscatter light detection and ranging (Lidar). The effectiveness of CO and HC EFs as proxy for NO and PM EFs for spark-ignition vehicles is evaluated. Poor correlations were found between EFs for pollutants on an individual vehicle basis indicating that high EFs for one or more pollutants cannot be used as a predictor of high EFs for other pollutants. Stronger functional relationships became evident after averaging the EF data in bins based on rank-order of a single pollutant EF. Low overlap between the highest 10% emitters for CO, HC, NO, and PM was found. These results imply that for an effective reduction of the four pollutants, inspection and maintenance (I/M) programs, including clean screening, should measure all four pollutants individually. Fleet average CO and HC concentrations determined by gaseous VERSS were compared with fleet average CO and HC concentrations measured at low-idle and at high-idle during local I/M tests for spark-ignition vehicles. The fleet average CO concentrations measured by I/M tests at either idle were about half of those measured by remote sensing. The fleet average high-idle HC concentration measured by I/M tests was about half of that measured by VERSS while low-idle I/M and VERSS HC average concentrations were in better agreement. For a typical vehicle trip, most of the fuel is burned during non-idle conditions. I/M measurements collected during idling conditions may not be a good indicator of a vehicle’s potential to be a high emitter. VERSS measurements, when the vehicle is under a load, should more effectively identify high emitting vehicles that have a large contribution to the mobile emissions inventory.     

华能曹妃甸煤码头工程陆域宽度优化设计

唐山港曹妃甸港区作为一个新兴港区,港口建设造陆工程对港区潮流、泥沙运动均产生影响,需要谨慎应对,以确保工程建设不对港区潮流和泥沙淤积造成不利影响。本文通过研究华能唐山港曹妃甸港区煤码头工程造陆宽度增加对港区潮流、泥沙运动产生的影响,加宽了堆场造陆宽度,优化了总体工艺设计方案。     

考虑泥沙淤积的三峡水库9月分旬控制水位研究

采用9月分旬蓄水的方式,可以较好地应对三峡水库汛后提前蓄水时特大洪水的可能威胁。但随着水库运用时间的增加,泥沙淤积将造成大量库容损失,9月分旬控制水位确定时必须要考虑泥沙淤积的影响。本文通过水库泥沙淤积计算,考虑了泥沙淤积造成的库容损失,对三峡水库9月分旬控制水位进行了深入研究。结果表明,与不考虑泥沙淤积情况下的控制水位相比,考虑泥沙淤积的9月分旬控制水位进一步降低了可能的防洪风险,同时,虽然水库发电效益也略有减小,但影响不大。     

Zn(acac)2·H2O化学气相沉积产物的表征

以Zn(acac)2.H2O为前驱体,以硅片为基底,采用化学气相沉积法,在不同的催化剂条件下,分别制备了ZnO纳米棒、ZnO纳米钵以及C纳米管,并分别用SEM、TEM、EDS和XRD对各产物进行了表征。当催化剂为水溶性金纳米粒子时,制得ZnO纳米棒;当催化剂为Fe-Pt合金时,制得C纳米管;当不用催化剂时,制得ZnO纳米钵。     

京唐港泥沙淤积原因分析

论述了京唐港海区的水动力条件和环境泥沙特性 ,在此基础上 ,对京唐港的泥沙淤积原因进行了分析 ,并由此得出结论 :现状下京唐港平面布局有效地抑制了泥沙的集中淤积现象 ,降低了骤淤碍航的可能性     

公路施工现场污水处理对策研究

分析公路施工现场设置污水净化处理设施的必要性;结合西汉高速公路2#隧道施工现场实例,提出了采用多级沉淀池沉淀的方法进行污水净化处理的施工方案;介绍该施工方案的污水净化设备、设计计算方法.     

取水工程对港内水流条件及泥沙回淤的影响

针对取水工程对港池内水流及泥沙影响问题,以黄骅港综合港区港池取水工程为例,通过在分析工程区域自然条件和泥沙条件的基础上建立三维数学模型的方法,从潮流、泥沙角度分析各取水方案对港池内水流条件和泥沙回淤的影响。结果表明:取水工程实施后整个港池内流速均不大,除取水口外,流速均在0.1 m/s以下。取水工程不会造成周边水域泥沙场的改变,对进港航道及港池淤积影响不大。取水工程实施后在设计最大取水流量范围内不会影响港口的正常运行。     

潮汐河口淹没丁坝群坝田淤积特征及成因分析

潮汐河口淹没丁坝群坝田水动力条件复杂多变,坝田复杂的水流结构决定了坝田内的泥沙淤积过程及淤积形态。以长江口北槽丁坝群形成坝田为例,分析坝田形成后淤积形态及淤积速率特征和规律。分析结果表明:随着时间推移,坝田内2 m等深线逐渐向距坝头0. 2倍坝长处靠近,5 m等深线逐渐向坝头处靠近;坝田的初始容积与冲淤平衡时的平衡容积呈对数关系;在丁坝间距为3～4倍坝长时,坝田内淤积分布最为均衡;坝田内淤积速率的拐点均出现在坝田形成后5～6 a。另外,从工程影响淤积丁坝布置参数方面探讨坝田内淤积特征的成因。     

长江口深水航道治理工程不同阶段北槽丁坝群坝田泥沙冲淤分析

根据长江口深水航道治理工程不同阶段的地形分析,定量分析不同工程阶段影响下北槽丁坝群坝田冲淤厚度以及地形变化。结果表明:在不同的工程阶段,北槽南北侧坝田冲淤差异受工程进度影响,总体呈逐年淤积趋势,南北侧坝田呈"洪季多淤、枯季少淤积"的状态,北侧坝田淤积厚度大于南侧。北槽主槽与坝田地形变化在2010年之前变化较大,2010年之后,主槽基本趋于稳定,变化较缓,坝田则持续淤积。     

仿生水草垫在航道整治护滩工程中的应用

针对三峡水库蓄水后,来沙量大幅减少的实际情况,在长江中游荆江窑监河段新河口边滩护滩工程缓流区,开展了仿柔性植被水草垫促淤结构现场试验,取得了较好的工程效果。对水草垫促淤结构的设计思路、构件设计、促淤机理和施工工艺进行阐述,并对工程效果进行分析。该结构丰富了航道整治工程促淤结构形式。