基于生态足迹我国三大经济圈可持续发展能力研究

本文基于当前国际上流行的生态足迹(Ecological Footprint,简称EF)模型,以可持续发展理论、区域经济学理论、生态经济理论等相关理论为基础,理论分析与实证分析、定性分析与定量分析相结合的原则,采用社会经济各相关部门的统计数据、相关研究报告的资料,针对中国东部地区三大经济圈的实际情况,建立了区域可持续发展评价指标,评价了三大经济圈的可持续发展能力,明确了当前三大经济圈社会经济发展所处的状态、存在的问题,研究结果可以为制定保证三大经济圈社会、经济实现可持续发展的政策提供科学依据和指导.研究表明,我国三大经济圈可持续发展能力较差,内部的经济与环境不协调性以及不合理的经济结构是制约三大经济圈可持续发展的主要问题.     

高铁酸钾辅助土壤吸附Cu2+的性能及影响因素

研究了汾河边砂壤土(A土)和细砂土(B土)在不同影响因素下对Cu2+的吸附特性,对比2种原土和加入高铁酸钾后对水相中Cu2+的吸附动力学和热力学参数。结果表明,B土有机质含量比A土高,其对Cu2+的吸附量大于A土。高铁酸钾的加入对土壤吸附Cu2+有显著效果,最佳吸附条件为A土和B土加入K2FeO4的Fe/Cu质量比分别为20:1和5:1,pH=8~10,T=35 ℃,此时A土、B土、加入K2FeO4的A土、加入K2FeO4的B土的最大吸附量分别为0.36、0.41、0.41和0.46 mg/g。A土和B土对Cu2+的吸附过程满足Freundlich方程,吸附能力大小为:加入K2FeO4的B土 >加入K2FeO4的A土 >B土 >A土。吸附热力学表明,该吸附是自发吸热过程,吸附动力学满足准二级动力学模型,表明土壤A和B对Cu2+吸附是以多层吸附为主,同时存在物理和化学吸附过程。     

Manganese-modified biochar for highly efficient sorption of cadmium

Environmental Science and Pollution Research - In this study, corn stalk was modified by manganese (Mn) before (MBC1) and after (MBC2) pyrolysis at different temperatures (400~600 °C)...     

银川市冬季PM2.5重污染特征、来源与成因分析

近年来银川市冬季重污染过程频发,为明确银川市冬季PM_2.5重污染的特征,分析其主要来源及成因,于2016年12月-2017年1月在银川市选取3个采样点开展PM_2.5的样品采集与化学组分分析,利用CMB（化学质量平衡）模型对银川市冬季PM_2.5进行来源解析,对比分析了重污染日与非重污染日污染特征的差异.结果表明:①银川市冬季重污染日ρ（PM_2.5）[（181±33.6）μg/m3]是非重污染日的2.1倍;重污染日和非重污染日的ρ（NO₃-）/ρ（SO₄2-）均小于1,表明燃煤仍是银川市冬季PM_2.5的重要来源.银川市冬季PM_2.5中ρ（SOC）为（14.4±7.34）μg/m3,约占ρ（OC）的65.2%.②与非重污染日相比,重污染日人为源无机元素As、Pb、Cd和Zn质量浓度在ρ（PM_2.5）中的占比分别升高33.2%、18.4%、9.8%和2.9%,表明银川市冬季重污染主要受人为源贡献影响.③源解析结果表明,燃煤源、机动车尾气源、二次离子源和扬尘源是银川市PM_2.5的主要污染源,与非重污染日相比,重污染日机动车尾气源的贡献率明显降低.研究显示,银川市冬季重污染受人为源污染物排放的影响较大,燃煤源是银川市冬季PM_2.5的重要来源.      

战略环境评价在内蒙古“十一五”规划中的应用——以水环境为例

实施战略环境评价（SEA）,充分考虑战略的环境影响是全面落实我国可持续发展战略的前提和重要保证。内蒙古“十一五”规划SEA实现了真正意义上的战略环评。本文以水环境为例,运用情景分析法、压力分析法探讨了战略环境评价水环境压力的变化。引进容量承压度的概念,分析了内蒙古自治区经过“十一五”5年的发展重点区域水环境容量承压度的变化。计算结果表明,与2004年水环境压力相比,内蒙古“十一五”规划重点发展区域氨氮压力增大,COD压力变化较小。根据压力变化提出了水环境影响减缓措施。     

Time-series analysis of above-road particulate matter at the Caldecott Tunnel exit

On November 18, 1997, above-road particulate matter (PM) lidar (light detection and ranging) signals and heavy-duty (HD) and light-duty (LD) vehicle counts were simultaneously collected for 894 10-sec sampling periods at the Caldecott Tunnel in Orinda, CA, for the purpose of measuring the relative contributions of LD and HD vehicles to the PM lidar signal under real-world driving conditions. The relationship between the PM lidar signal and traffic activity (i.e., LD and HD traffic volumes) was examined using a time-series analysis technique, multilagged regression. The time-series model results indicate that the PM lidar signal in the current sampling period (PMt) depended on the level recorded in the previous three sampling periods (i.e., PMt-1, PMt-2, and PMt-3), the number of LD vehicles in the seventh past sampling period (LDt-7), and the number of HD vehicles measured 80 sec previous to the current sampling period (HDt-8). On a 10-sec period basis, the model results indicate that HD vehicles contributed, on average, 3 times more to above-road PM lidar signals than did LD vehicles. The observed lag in the relationship between vehicle types and the lidar signal 20 m above the road suggests that resuspended road dust, rather than tailpipe exhaust emissions, was the main source of the detected PM. Detection of road dust at such heights above the road suggests the need for investigating the processes governing the vertical transport and recycling of PM over the road as a function of vehicle dynamics under a range of meteorological conditions.     

Experimental evaluation of the thermal performance of cool pavement materials in cold regions of China

Environmental Science and Pollution Research - The local thermal property evaluation of pavement materials has not received enough attention, making the implementation of cool material measures to...