西安市典型道路扬尘排放清单及化学组分

道路扬尘是城市大气颗粒的主要来源之一,扬尘中含有的重金属、碳质组分和水溶性离子会危害人体健康 . 为研究西安市道路扬尘的排放量及颗粒物的化学组分,在西安市环路、主干路、次干路和支路设监测点,采集了 141个道路积尘样品,估算了不同类型道路的积尘负荷 . 采用 AP-42 模型估算了不同类型道路的扬尘排放因子,建立了 2018 年西安市道路扬尘 PM_2.5和 PM₁₀的排放清单,分析了道路扬尘颗粒物的化学组分 . 基于西安市路网分布、GIS信息和车流量对道路扬尘 PM_2.5和 PM₁₀的排放量进行了空间分配 . 结果表明,西安市机动车道、非机动车道和人行道的积尘负荷分别为（0.88±0.83）、（2.62±2.23）和（1.41±1.42）g·m^-2. 按道路长度加权平均的扬尘中 PM_2.5和 PM₁₀的排放因子分别为 0.22和0.93 g·km^-1·veh^-1. 2018 年西安市道路扬尘...     

废旧弹药装药倒空方法的研究进展

随着弹药武器装备的更新换代,以及库存弹药超过储存年限,报废弹药销毁量越来越大,伴随出现的事故也越来越多,使得国内外对废旧弹药处理技术高效、安全、环保的要求也越来越高。基于废旧弹药的绿色回收利用技术,总结了废旧弹药装药倒空方法的国内外研究现状,分析了加热熔融、钻屑吸出、水射流冲洗、水力空化、低温冲洗、冷循环、超声振动及仿形钻削与干冰喷射复合8种倒药方法的优缺点,从高效、安全、环保和能否实现弹体与装药完全分离的角度,指出超声振动倒空法安全性好,倒空速度快,处理过程绿色无污染,可实现装药与壳体高效完全分离,具有广阔的发展前景,值得推广和深入研究;仿形钻削与干冰喷射复合倒空法集合了仿形钻削的高效率、无污染,能实现生产线的自动化控制,以及干冰喷射处理的炸药品种多、不存在"三废"等优点,是未来研究的主要方向之一。     

北京4种阔叶绿篱球的减噪效应及其影响因子

运用AWA6288型多功能声级及TmeRTA音频分析软件等仪器对北京4种常见阔叶绿篱球的减噪功能进行了测定,并对其结构特征进行了定量化统计,以探寻与植物减噪密切相关的影响因子。结果表明：小叶黄杨球（Buxus microphylla）平均相对A声级减噪能力最强,为1．76dB／m;紫叶小檗球（Berberis thunbergii cv．atropurpurea）相对最差,为1．05dB／m。紫叶小檗球与大叶黄杨球（Euonymus japonicus）、小叶黄杨球、金叶女贞球（Ligustrum vicaryi）在平均相对A声级减噪能力、减噪率方面均存在冠著差异。影响单株植物减噪排名前5的相关结构因子分别是树冠体积（0．804）、冠高（0．781）、绿篱高度（0．733）、叶质地（0．690）、平均冠宽（0．679）;叶大小、冠层、叶质地和倾斜状态、叶密度、枝密度5个主因子的累积方差贡献率已达85．233％,在绿化减噪应用中要重点考虑这5个因子。大叶黄杨球平均相对A声级减噪能力随植株大小变化没有显著变化,与树体各结构因子不相关,这可能与研究的样本量较少或者树体结构特征差异不明显有关;影响不同种类植物减噪的相关因子不尽相同。     

不同原料厌氧发酵及其微生物种群的研究

使用PCR-DGGE技术,对以鸡粪、猪粪、牛粪、秸秆为发酵原料的发酵体系的微生物群落多样性进行了研究.在发酵不同时间取样,进行了日产甲烷量、日产甲烷浓度的变化分析和DGGE分析.结果表明,日产甲烷量整体趋势为猪粪>鸡粪>秸秆>牛粪,日平均产甲烷量分别为2.67、2.24、0.99、0.49L;猪粪、鸡粪、秸秆的日产甲烷浓度在整个发酵周期大多可维持在50%以上,牛粪的日产甲烷浓度大部分时间低于30%;细菌的优势菌群有拟杆菌属(Bacteroidetes)、密螺旋体属(Treponema)、厌氧绳菌科(Anaerolineaceae)等,新增优势菌群有梭菌属(Clostridium)、脱硫叶菌属(Desulfobulbus)、毛螺旋菌科(Lachnospiraceae)、醋弧菌属(Acetivibrio);古菌的优势菌群有甲烷鬃菌属(Methanosaeta)、甲烷八叠球菌属(Methanosarcina)、甲烷八叠球菌目(Methanosarcinales),新增优势菌群有斯氏甲烷球菌属(Methanosphaera stadtmanae).     

Spatial-Scale Effects on Relative Importance of Physical Habitat Predictors of Stream Health

A common theme in recent landscape studies is the comparison of riparian and watershed land use as predictors of stream health. The objective of this study was to compare the performance of reach-scale habitat and remotely assessed watershed-scale habitat as predictors of stream health over varying spatial extents. Stream health was measured with scores on a fish index of biotic integrity (IBI) using data from 95 stream reaches in the Eastern Corn Belt Plain (ECBP) ecoregion of Indiana. Watersheds hierarchically nested within the ecoregion were used to regroup sampling locations to represent varying spatial extents. Reach habitat was represented by metrics of a qualitative habitat evaluation index, whereas watershed variables were represented by riparian forest, geomorphology, and hydrologic indices. The importance of reach- versus watershed-scale variables was measured by multiple regression model adjusted-R² and best subset comparisons in the general linear statistical framework. Watershed models had adjusted-R² ranging from 0.25 to 0.93 and reach models had adjusted-R² ranging from 0.09 to 0.86. Better-fitting models were associated with smaller spatial extents. Watershed models explained about 15% more variation in IBI scores than reach models on average. Variety of surficial geology contributed to decline in model predictive power. Results should be interpreted bearing in mind that reach habitat was qualitatively measured and only fish assemblages were used to measure stream health. Riparian forest and length-slope (LS) factor were the most important watershed-scale variables and mostly positively correlated with IBI scores, whereas substrate and riffle-pool quality were the important reach-scale variables in the ECBP.     

Modeling Long-Term Risk to Environmental and Human Systems at the Hanford Nuclear Reservation: Scope and Findings from the Initial Model

The Groundwater Protection Project at the US Department of Energy Hanford Site in Washington State is currently developing the means to assess the cumulative impact to human and ecological health and the regional economy and cultures from radioactive and chemical waste that will remain at the Hanford Site after the site closes. This integrated system is known as the System Assessment Capability (SAC). The SAC Risk/Impact Module discussed in the article uses media- and time-specific concentrations of contaminants estimated by the transport models of the integrated system to project potential impacts on the ecology of the Columbia River corridor, the health of persons who might live in or use the corridor or the upland Hanford environment, the local economy, and cultural resources. Preliminary Monte Carlo realizations from the SAC modeling system demonstrate the feasibility of large-scale uncertainty analysis of the complex relationships in the environmental transport of contaminants on the one hand and ecological, human, cultural, and economic risk on the other. Initial impact results show very small long-term risks for the 10 radionuclides and chemicals evaluated. The analysis also helps determine science priorities to reduce uncertainty and suggests what actions matter to reduce risks.     

AUTOMATED WEB GIS BASED HYDROGRAPH ANALYSIS TOOL,WHAT1

The separation of the base flow component from a varying streamflow hydrograph is called “hydrograph analysis.” In this study, two digital filter based separation modules, the BFLOW and Eckhardt filters, were incorporated into the Web based Hydrograph Analysis Tool (WHAT) system. A statistical component was also developed to provide fundamental information for flow frequency analysis and time series analysis. The Web Geographic Information System (GIS) version of the WHAT system accesses and uses U.S. Geological Survey (USGS) daily streamflow data from the USGS web server. The results from the Eckhardt filter method were compared with the results from the BFLOW filter method that was previously validated, since measured base flow data were not available for this study. Following validation, the two digital filter methods in the WHAT system were run for 50 Indiana gaging stations. The Nash‐Sutcliffe coefficient values comparing the results of the two digital filter methods were over 0.91 for all 50 gaging stations, suggesting the filtered base flow using the Eckhardt filter method will typically match measured base flow. Manual separation of base flow from streamflow can lead to inconsistency in the results, while the WHAT system provides consistent results in less than a minute. Although base flow separation algorithms in the WHAT system cannot consider reservoir release and snowmelt that can affect stream hydrographs, the Web based WHAT system provides an efficient tool for hydrologic model calibration and validation. The base flow information from the WHAT system can also play an important role for sustainable ground water and surface water exploitation, including irrigation and industrial uses, and estimation of pollutant loading from both base flow and direct runoff. Thus, best management practices can be appropriately applied to reduce and intercept pollutant leaching if base flow contributes significant amounts of pollutants to the stream. This Web GIS based system also demonstrates how remote, distributed resources can be shared through the Internet using Web programming.