Regulated emission characteristics of in-use LNG and diesel semi-trailer towing vehicles under real driving conditions using PEMS

On-road driving emissions of six liquefied natural gas(LNG) and diesel semi-trailer towing vehicles(STTVs) which met China Emission Standard IV and V were tested using Portable Emission Measurement System(PEMS) in northern China.Emission characteristics of these vehicles under real driving conditions were analyzed and proved that on-road emissions of heavy-duty vehicles(HDVs) were underestimated in the past.There were large differences among LNG and diesel vehicles, which also existed between China V vehicles and China IV vehicles.Emission factors showed the highest level under real driving conditions, which probably be caused by frequent acceleration, deceleration, and start-stop.NOx emission factors ranged from 2.855 to 20.939 g/km based on distance-traveled and 6.719–90.557 g/kg based on fuel consumption during whole tests, which were much higher than previous researches on chassis dynamometer.It was inferred from tests that the fuel consumption rate of the test vehicles had a strong correlation with NOx emission, and the exhaust temperature also affected the efficiency of Selected Catalytic Reduction(SCR) aftertreatment system, thus changing the NOx emission greatly.THC emission factors of LNG vehicles were 2.012–10.636 g/km, which were much higher than that of diesel vehicles(0.029–0.185 g/km).Unburned CH_4 may be an important reason for this phenomenon.Further on-road emission tests, especially CH_4 emission test should be carried out in subsequent research.In addition, the Particulate Number(PN) emission factors of diesel vehicles were at a very high level during whole tests, and Diesel Particulate Filter(DPF)should be installed to reduce PN emission.     

基于地形位置指数的赤水河流域植被时空变化研究

地形因子和植被覆盖是区域灾害评价的关键指标,也是山区型村镇建设生态安全评估的重要内容.为探析山区型村镇建设的生态约束条件,以赤水河流域为研究对象,基于1998—2018年SPOT_VGT NDVI数据,利用地形位置指数（Topographic Position Index,TPI）和坡度位置指数方法,研究了赤水河流域植被生长季NDVI时空变化及地形分异特征.结果表明:①赤水河流域内,1998—2018年植被生长季平均NDVI呈缓慢上升趋势,斜率为0.004 7;NDVI>0.60的集中连片区域主要分布在古蔺县北部、赤水市大部和习水县西北部,占赤水河流域总面积的8.42%;Sen's slope在0.009~0.015区间时,赤水河流域植被生长增强趋势最明显,主要集中分布在赤水河中上游、二道河以及下游的大同河干流地区.②TPI在-39.4~34.3区间的面积最多,为6 221.63 km2,占赤水河流域总面积的34.05%;将赤水河流域坡度类型划分为山脊、上坡、中坡、平坡、下坡、山谷6个坡度位置类型,其中,中坡面积（7 792.02 km2）最大,占流域总面积的42.64%,表明TPI数值较小且坡度大于5°的区域是赤水河流域地形主体.③赤水河流域植被在山脊的平均NDVI最高,为0.747,且山脊平均Sen's slope最高,为0.007 2;山谷平均NDVI最低,为0.709.研究显示,赤水河流域植被分布在118.5~486.9的TPI区间或分布在山脊处时整体生长较好,且生长增强趋势最明显.      

Application of the benthic index of biotic integrity to environmental monitoring in Chesapeake Bay

The Chesapeake Bay benthic index of biotic integrity (B-IBI) was developed to assess benthic community health and environmental quality in Chesapeake Bay. The B-IBI provides Chesapeake Bay monitoring programs with a uniform tool with which to characterize bay-wide benthic community condition and assess the health of the Bay. A probability-based design permits unbiased annual estimates of areal degradation within the Chesapeake Bay and its tributaries with quantifiable precision. However, of greatest interest to managers is the identification of problem areas most in need of restoration. Here we apply the B-IBI to benthic data collected in the Bay since 1994 to assess benthic community degradation by Chesapeake Bay Program segment and water depth. We used a new B-IBI classification system that improves the reliability of the estimates of degradation. Estimates were produced for 67 Chesapeake Bay Program segments. Greatest degradation was found in areas that are known to experience hypoxia or show toxic contamination, such as the mesohaline portion of the Potomac River, the Patapsco River, and the Maryland mainstem. Logistic regression models revealed increased probability of degraded benthos with depth for the lower Potomac River, Patapsco River, Nanticoke River, lower York River, and the Maryland mainstem. Our assessment of degradation by segment and water depth provided greater resolution of relative condition than previously available, and helped define the extent of degradation in Chesapeake Bay.     

关于对"碱性高锰酸钾指数标准分析方法的错误"的讨论

《中国环境监测》于2006年8月第22卷第4期发表了一篇名为“碱性高锰酸钾指数标准分析方法的错误”的文章,该文作者通过配制不同浓度的葡萄糖标准溶液,分别用酸性法与碱性法来测定其高锰酸盐指数值,对相应的结果与计算公式进行讨论,指出碱性高锰酸钾操作方法与计算公式均存在错误,并提出了碱性高锰酸钾测定的修正方法与公式。文章对上述观点和结论有不同的看法,从碱性高锰酸钾指数标准分析方法的试验操作步骤及方法原理的理解入手,进行相关的阐述和讨论。     

用灰色关联度方法进行水污染因子分析

介绍了灰色关联度因子分析方法,以及此法在水污染因子分析中的应用.对于一般监测资料系列短而监测项目却较齐全的情况,应用本法是较适宜的.     

战略环境评价的工作程序

介绍了战略环境评价（法规、政策、计划和规划层次）工作程序的三个环节：评价方案的制定、评价实施和评价总结。并提出了战略环境评价指标体系制定的原则、战略环境评价的具体步骤及战略环境评价报告书的基本内容。     

区域水环境生物学评价浅析

本文论述了辽河三角洲区域地面水系浮游植物的种类分布，根据调查获得的生态学资料，探讨了其群落结构特征及其与水体环境质量的关系，运用“Ｓｈａｎｎｏｎ—Ｗｅａｖｅｒ多样性指数法”对区域水体质量进行了分类评价，并研究了浮游植物的多样性指数与水质理化污染指标之间的关系．     

战略环境评价及其应用初探

概述了战略环境价的概念、产生原因、研究现状及其工作程序，结合川南矿肥工程项目对它进行了应用初探，提出了计划、规划层次ＳＥＡ的方法和指标，并对我国环评工作提出了建议。     

应用地积累指数法评价太子河沉积物中重金属污染

本文根据沉积学原理和环境化学行为特点，应用地积累指数法对太子河（本溪段）沉积物中重金属污染进行了评价研究。结果表明，太子河市区段重污染是严重的，主要的重金属污染物为Ｃｕ、Ｐｂ，其次为Ｚｎ、Ｃｄ、Ｈｇ。     

综合评分指标体系在环境优先污染物筛选中的应用

介绍了一种用于环境优先污染物筛选的综合评分指标体系，并以上海市石化行业废气优先污染物的筛选为实例说明。