庐山不同森林植被类型土壤碳库管理指数评价

土壤碳库管理指数(CPMI)是表征土壤碳库变化的一个重要量化指标,能够反映土壤的碳库变化和碳库质量。选取庐山8种森林植被类型土壤为研究对象,对其土壤有机碳库特征及碳库管理指数进行系统研究。结论表明:(1)土壤有机碳(SOC)主要分布于0~20 cm土层中,随着土层深度增加,不同森林植被类型下SOC含量急剧下降;在0~60 cm土层中,不同森林植被类型下SOC含量的平均值排序为:马尾松林常绿阔叶林灌丛针阔混交林常绿-落叶混交林黄山松林落叶阔叶林竹林。(2)不同森林植被类型下活性有机碳(ASOC)含量为0.24~0.57 g·kg–1,总有机碳(TOC)含量为9.72~14.74 g·kg–1,土壤碳库指数(CPI)为1.63~2.48,碳库活度(A)为0.019~0.062,碳库活度指数(AI)为0.388~1.265。不同森林植被类型下ASOC含量排序:落叶阔叶林黄山松林常绿-落叶阔叶混交林灌丛针阔混交林常绿阔叶林竹林马尾松林;不同森林植被类型下ASOC/TOC(%)排序:落叶阔叶林黄山松林常绿-落叶阔叶混交林竹林灌丛针阔混交林常绿阔叶林马尾松林;不同森林植被类型下CPMI排序为:落叶阔叶林黄山松林常绿-落叶阔叶混交林灌丛针阔混交林常绿阔叶林竹林马尾松林。     

安徽省冬季PM2.5污染来源及其成因分析

随着中国城市化和工业化的加速发展,大气污染的问题日益突出,严重危害公众身体健康。基于安徽省逐小时PM2.5浓度监测数据,采用后向轨迹模式、潜在源因子分析法（PSCF）和权重浓度分析法（CWT）,构建PM2.5来源分析模型,分析了安徽省PM2.5的来源,并结合地理探测器辨析了影响PM2.5本底贡献浓度的驱动因子。结果表明：（1）本底贡献、本底外溢和外地输送这3个动态过程对安徽省PM2.5浓度的时空变化有重要的影响;（2）PM2.5月累计逐小时测量浓度、总浓度、外地输送浓度、本底贡献浓度、本底外溢浓度和月均PM2.5本底排放贡献率,均在整体呈现出西南高、东北低的分布趋势,但前3项在安徽西北部的阜阳、亳州和淮北等地出现高值区;（3）安徽省约97.5%的面积外地输送贡献率>50%,下辖市PM2.5本底排放贡献率在30%~50%,说明1月污染以外地输送为主;（4）工厂密度、车辆保有量密度和人口密度对PM2.5月累计本底贡献浓度的解释力q值分别为0.33、0.47和0.61,通过与PM2.5月累计测量浓度地理探测分析结果的比较,表明人为要素与PM2.5月累计本底贡献浓度的关系更加密切。研究结果可为区域大气污染治理提供科学的参考依据。     

真空灭弧室导电回路产生的磁场环境对灭弧室短路开断的影响

设计良好的导电回路对真空断路器灭弧性能的提高有着重要的意义。本文首先从结构上分析了三种不同导电回路的优缺点,接着,分析了三种不同导电回路的电动斥力和吹弧磁场,为通过选择不同导电回路,触头直径和开距提高真空断路器灭弧性能提供方法和思路。     

地下土壤渗滤系统处理农村生活污水应用研究

研究了地下土壤渗滤系统在农村生活污水处理中的应用,并详细地比较了面积分别为9,45,90 m2以及200 m2的处理系统在工程实际中出水水质的不同.实验结果表明,随着土地处理系统面积的增大,出水的各个水质指标(CODCr、BOD5、TP、NH3-N)相应变好.结合施工、运行及管理等方面的优点,推荐收集各户生活污水再集中建设土地处理系统,系统面积在90-300 m2之间.     

生态工业园区"四位一体"运行模式研究

生态工业园区是依据清洁生产要求、循环经济理念及工业生态学原理,设计建立的一种新型工业园区。生态工业园区遵从循环经济的3R原则。建设生态工业园区是一个系统工程,构建政府、企业、公众、中介组织为主的“四位一体”生态工业园区运行模式。为诚国生态工业园区理论研究的深化和实践的深入提供参考。     

Studies on polycyclic aromatic hydrocarbons in two sediment cores from the huaxi reservoir,china: Assessment of levels,sources, and ecological risk

This study investigated the levels, sources and ecological risks of 16 polycyclic aromatic hydrocarbons (PAHs) in two sediment cores that were collected along the Huaxi Reservoir. The spatial distributions and residue levels of the 16 priority PAHs in the sediments from the Huaxi Reservoir were analyzed for their potential ecological risk, source apportionment and contribution to the total PAH residue. The concentration level of the total PAHs (TPAHs) was in the range 1805 ng·g^?1 to 20023 ng·g^?1 based on dry weight, and the content of PAHs in the Huaxi Reservoir exhibited a gradual upward trend. The PAH congener ratios fluoranthene/(fluoranthene + pyrene) and indeno[1, 2, 3-cd]pyrene/(indeno[1, 2, 3-cd]pyrene + benzo[g, h, i]perylene) were used to identify the source. The main source of the low molecular weight PAHs was wood and coal combustion, whereas the high molecular weight PAHs were primarily from petroleum combustion sources. The results of an ecological risk assessment demonstrated that ACE poses a potential ecological risk, while FLU, NAP, ANT, BaP, DBA, PHEN and PYR can have serious ecological risks.     

Optimum ridge-to-furrow ratio in ridge-furrow mulching systems for improving water conservation in maize (Zea may L.) production

Environmental Science and Pollution Research - Water-saving cultivation techniques have been attracting increased attention worldwide. Ridge-furrow mulching system (RFMS), as a prospective...     

Overview of surface measurements and spatial characterization of submicrometer particulate matter during the DISCOVER-AQ 2013 campaign in Houston,TX

The sources of submicrometer particulate matter (PM₁) remain poorly characterized in the industrialized city of Houston, TX. A mobile sampling approach was used to characterize PM₁ composition and concentration across Houston based on high-time-resolution measurements of nonrefractory PM₁ and trace gases during the DISCOVER-AQ Texas 2013 campaign. Two pollution zones with marked differences in PM₁ levels, character, and dynamics were established based on cluster analysis of organic aerosol mass loadings sampled at 16 sites. The highest PM₁ mass concentrations (average 11.6 ± 5.7 µg/m³) were observed to the northwest of Houston (zone 1), dominated by secondary organic aerosol (SOA) mass likely driven by nighttime biogenic organonitrate formation. Zone 2, an industrial/urban area south/east of Houston, exhibited lower concentrations of PM₁ (average 4.4 ± 3.3 µg/m³), significant organic aerosol (OA) aging, and evidence of primary sulfate emissions. Diurnal patterns and backward-trajectory analyses enable the classification of airmass clusters characterized by distinct PM sources: biogenic SOA, photochemical aged SOA, and primary sulfate emissions from the Houston Ship Channel. Principal component analysis (PCA) indicates that secondary biogenic organonitrates primarily related with monoterpenes are predominant in zone 1 (accounting for 34% of the variability in the data set). The relevance of photochemical processes and industrial and traffic emission sources in zone 2 also is highlighted by PCA, which identifies three factors related with these processes/sources (~50% of the aerosol/trace gas concentration variability). PCA reveals a relatively minor contribution of isoprene to SOA formation in zone 1 and the absence of isoprene-derived aerosol in zone 2. The relevance of industrial amine emissions and the likely contribution of chloride-displaced sea salt aerosol to the observed variability in pollution levels in zone 2 also are captured by PCA.

Implications: This article describes an urban-scale mobile study to characterize spatial variations in submicrometer particulate matter (PM₁) in greater Houston. The data set indicates substantial spatial variations in PM₁ sources/chemistry and elucidates the importance of photochemistry and nighttime oxidant chemistry in producing secondary PM₁. These results emphasize the potential benefits of effective control strategies throughout the region, not only to reduce primary emissions of PM₁ from automobiles and industry but also to reduce the emissions of important secondary PM₁ precursors, including sulfur oxides, nitrogen oxides, ammonia, and volatile organic compounds. Such efforts also could aid in efforts to reduce mixing ratios of ozone.     

钙基脱硫剂孔隙中SO2气体非线性扩散的研究

以动态生成的CaO孔隙网络为骨架,按照不退行随机行走模型（NRRW）,模拟气体分子在CaO孔隙中的扩散过程,计算了SO2分子的扩散系数和行走维数,并在SO2非线性扩散反应方程基础上,分析了CaO颗粒孔隙中SO2浓度的分布特性。