Prefabrication decisions of the construction supply chain under government subsidies

Environmental Science and Pollution Research - Prefabrication has been generating increasing interest as a cleaner production strategy to promote sustainable development. Alongside this trend,...     

Spatial and seasonal variation and sources of deposition fluxes of polycyclic aromatic hydrocarbons (PAHs) in Shanghai

Environmental Science and Pollution Research - Spatial and temporal variations of polycyclic aromatic hydrocarbons (PAHs) deposition fluxes and sources may significantly facilitate risk evaluation...     

Influence of different inoculation densities of black soldier fly larvae (Hermetia illucens) on heavy metal immobilization in swine manure

The disposal of organic waste by the biocomposting of black soldier fly larvae (BSFL) has drawn broad attention. However, the discrepancies in heavy metal immobilization between BSFL biocomposting with different inoculation densities and aerobic composting need to be further researched. In this study, BSFL with inoculation densities of 0.08%, 0.24% and 0.40% was added to swine manure to investigate its influence on heavy metal bioaccumulation and bioavailability. The physicochemical properties, BSFL growth performance and amino acid contents were measured. The results showed that the germination index, total prepupal yield and bioavailable fraction removal rate (%) of Cr and Pb at an inoculation density of 0.40% of BSFL were the highest among all of the BSFL biocomposting groups. Although the bioaccumulation factor and heavy metal (Cd, Cr, Cu and Zn) concentrations of the BSFL body from swine manure with inoculation densities of 0.24% and 0.40% of BSFL were similar, the BSFL inoculation density of 0.40% had the best absorption effect on these heavy metals in terms of total prepupal yield. Therefore, this study provides a basis for exploring the optimal inoculation density of BSFL biocomposting to reduce the harmful effects of heavy metals in swine manure.

     

Nitrogen fertilization decrease soil CO2 emission in a rainfed maize field in Northeast China

Environmental Science and Pollution Research - Nitrogen fertilizer has considerable effects on soil carbon fluxes. However, the responses of soil CO2 emission to N fertilizer remain controversial....     

What are the disease burden and its sensitivity analysis of workers exposing to Staphylococcus aureus bioaerosol during warm and cold periods in a wastewater treatment plant?

Environmental Science and Pollution Research - Biological treatment in wastewater treatment plants releases high amounts of pathogenic bioaerosols. Quantitative microbial risk assessment is a...     

Comprehensive evaluation of land reclamation schemes in mining areas based on linguistic intuitionistic fuzzy group decision-making

Schemes to protect the geological environment and reclaim land are core requirements for an application for mining rights and complying with mining regulations. Mining enterprises must be supervised to ensure they fulfill their obligations. To guide oversight of such schemes and to provide references for their compilation and review, this study evaluates land reclamation schemes in mining areas using a multi-attribute group decision-making method. First, linguistic intuitionistic fuzzy numbers are used to describe the evaluation information. Considering the authority and preferences of experts, methods for determining expert weights in four cases are established. Max–min deviation then determines the attribute weights, and a method for linguistic intuitionistic fuzzy group decision-making is proposed. Finally, the practicability of this method is verified through a comparative analysis of land reclamation schemes for four mining areas in Sichuan Province, China. The results show the proposed method to give simple and effective evaluation, making it reasonably applicable to the compilation and review of land reclamation schemes.

     

隧道入口冰雪环境下驾驶员心生理特性研究*

为提高高速公路冰雪环境下隧道入口行车安全水平,探究隧道入口冰雪环境下驾驶员心生理反应特性,依据心生理理论,通过模拟驾驶试验采集驾驶员在冬季晴、雪天气下隧道入口行驶的心率增长率、速度等数据,分析照度变化率、路面摩擦系数、速度对驾驶员心生理的影响规律,明确不同影响因素下隧道入口驾驶员心率增长率变化特征,利用Matlab构建多因素耦合下隧道入口驾驶员心生理反应模型,并设计实车试验验证心生理反应模型有效性。研究结果表明:冰雪环境下隧道入口驾驶员心率增长率紧张阈值为28%,隧道入口冰雪环境下照度变化率安全阈值为51%,心生理反应模型误差小于10%,吻合程度较好。研究结果对提高山区高速公路隧道入口冰雪环境的行车安全性、降低隧道入口事故风险具有重要意义。     

典型三床RTO设备燃爆危险性数值模拟研究*

为研究苯、甲苯、二甲苯混合废气在三床蓄热式废气焚烧炉内部的燃烧过程,基于FLUENT软件建立典型的三床蓄热式废气焚烧炉的物理模型和数值模型,重点分析进气风量和混合可燃气体-空气摩尔占比对其内部压力变化规律的影响,以期可为其安全设计提供借鉴。研究结果表明:燃烧室内的温度变化与燃烧速度变化保持一致,可通过监测RTO燃烧室内的温度来定性评估气体燃烧速度,随着进气风量的增加,混合废气燃烧速度先升高后下降后再升高;从能源损耗和安全生产2个方面综合考虑,得出RTO运行的最佳进气风量为15 000 m3/h到30 000 m3/h,最佳的混合可燃气体-空气摩尔占比为0.15~0.2,这与RTO实际工况相符合,解释RTO装置内废气积聚导致爆炸事故的原因,燃烧过程中压力出现2次峰值超压,实际生产中需在2个时间节点多加防范。     

生物可降解地膜覆盖对关中地区小麦-玉米农田温室气体排放的影响

为探究生物可降解地膜覆盖对冬小麦-夏玉米轮作农田生态系统温室气体排放的影响,布设了普通地膜覆盖（PM）、生物可降解地膜覆盖（BPM）和无覆盖（CK）这3个处理,采用静态暗箱-气相色谱仪法监测了2018～2019年土壤CO₂、 CH₄和N₂O的排放通量,并用水分利用效率（WUE）、温室气体排放强度（GHGI）和净生态系统经济预算（NEEB）指标评估覆膜对作物产量、农田环境和经济效益的影响.结果表明,与CK相比,PM和BPM增加了玉米季土壤CO₂的排放,PM处理下CO₂排放总量高于BPM处理（P>0.05）.PM和BPM处理均能够显著减少土壤对CH₄的吸收,CH₄的年吸收量较CK处理分别减少了42.0%和24.2%（P<0.05）.与CK相比,PM和BPM增加了小麦季N₂O排放总量（P>0.05）,而显著降低了夏玉米季N₂O排放（P<0.05）.覆膜能够提高作物产量和水分...