神经网络模型在辽河水质量评价中的应用

为准确的反映辽河水质量状况和发展趋势，在对辽河水质监测采样和实验分析的基础上，建立了水质评价的BP神经网络模型，应用该模型对辽河的水质现状进行了质量综合评价，4个监测断面的评价结果均在4～4．5之间，水污染情况较为严重。该评价结果与监测断面污染项目的超标情况分析的结论吻合，评价效果较好。     

山东省制造业人力资源现状及需求预测

制造业是一个国家和地区经济发展的基石.改革开放30年来,山东省制造业发展迅速,并带动了制造业人力资源队伍的加速增长.要实现山东省从制造业大省到制造业强省、从制造到创造的跨越,人力资源的支持必不可少.分析改革开放30年来山东省制造业人力资源队伍建设取得的成绩及存在的问题,基于灰色理论对山东省制造业未来5年的人力资源需求进行预测,并运用残差检验、关联度检验和后验差检验进行模型检验,保证了预测结论的可靠性.预测结果表明:山东省政府的承接日韩制造业转移,建设制造业强省的政策支持使得山东省制造业人力资源需求总量保持增长态势.这一结论对山东省政府构建制造韭的产业战略和人才发展战略将起到一定的借鉴意义.     

Response of bacterial communities to mining activity in the alpine area of the Tianshan Mountain region,China

Environmental Science and Pollution Research - Anthropogenic activities, such as mining, influence soil bacterial community composition and microbial distributions. In the current study, the...     

Spatio-temporal trends and influencing factors of PM2.5 concentrations in urban agglomerations in China between 2000 and 2016

An urban agglomeration (UA), similar to a megalopolis or a metropolitan area, is a region where cities and people are concentrated, and where air pollution has adversely impacted on sustainable and high quality development. Studies on the spatio-temporal trends and the factors which influence PM_2.5 concentrations may be used as a reference to support air pollution control policy for major UAs throughout the world. Nineteen UAs in China covering the years 2000–2016 were chosen as the research object, the PM_2.5 concentrations being used to reflect air pollution and being estimated from analysis of remote sensing images. The Exploratory Spatial Data Analysis method was used to study the spatio-temporal trends for PM_2.5 concentrations, and the Geodetector method was used to examine the factors influencing the PM_2.5 concentrations. The results revealed that (i) the temporal trend for the average values of the PM_2.5 concentrations in the UAs followed an inverted U-shaped curve and the inflection points of the curve occurred in 2007. (ii) The PM_2.5 concentrations in the UAs exhibited significant global spatial autocorrelation with the high–high type and the low–low type being the main categories. (iii) The rate of land urbanization and the structure of energy consumption were the main factors which influenced the PM_2.5 concentrations in the UAs.

     

Do economic development and population agglomeration inevitably aggravate haze pollution in China? New evidence from spatial econometric analysis

Environmental Science and Pollution Research - With sustained economic development, China’s ecological environment is becoming increasingly fragile and the problem of haze pollution is...     

Response relationships between abrupt seasonal temperature changes/warming (cooling) hiatuses in China and their influencing factors

Environmental Science and Pollution Research - The mechanisms of abrupt seasonal temperature changes and warming (cooling) hiatuses remain unclear. Clarifying how they respond to various...     

An accelerated solvent extraction and gas chromatography-flame ionization detector method to rapidly determining and assessing total petroleum hydrocarbon contamination in soil from Fushan oilfield,China

Environmental Science and Pollution Research - A high-efficient method for determining the total petroleum hydrocarbon (TPH) was established by gas chromatography-flame ionization detection,...     

广州市地铁一号线振动传播对环境影响的测定与分析

通过对广州地铁一号线沿线地上66个截面，地下10个截面的振动测试，对不同的隧道截面形状给出不同的地表面振动传播公式，公式表明地面振动Z振级由振源振动，地质条件，列车运行速度，轨道平面曲率半径及测点至隧道侧壁距离等因素决定。     

应用灰色系统理论预测土壤酸化趋势

本文以各组分组成的土壤酸中和容量动态变化作为指标,用灰色系统控制理论对酸雨引起南方土壤的酸化趋势进行定量的预测分析。