Cost‐Effective Rapid and Long‐Term Screening of Chemical Vapor Intrusion (CVI) Potential: Across Both Space and Time

Reviews including the latest “data‐rich” chemical vapor intrusion‐radon (CVI‐Rn) studies indicate buildings/times can be “screened‐in” as having Rn‐evident‐susceptibility/priority for soil gas intrusion, and elevated‐potential for CVI concerns, or not. These screening methods can supplement conventional indoor‐air chemical sampling, under naturally varying conditions, by prioritizing buildings and times based on indoor Rn levels. Rn is a widespread, naturally occurring component of soil gas and a tracer of soil gas intrusion into the indoor air of overlying buildings. Rn is also an indicator for generally similar behavior of other components of near‐building soil gas, possibly including chemical contaminant vapors. Indoor Rn is easily measured at a low cost, allowing continuous observations from essentially all buildings with the potential for CVI across time. This presents cost savings and other benefits for all CVI stakeholders.     

三维电极电Fenton氧化法处理染料废水

采用三维电极电Fenton氧化法处理实际染料废水,探究了染料废水处理效果的影响因素。实验结果表明：以钌铱镀层钛电极为阳极、不锈钢板为阴极、粉末活性炭为颗粒电极,在粉末活性炭投加量为2.0 g/L、电流密度为0.5 mA/mm²、极板间距为3 cm、pH为2.0、硫酸亚铁投加量为0.50 g/L的最优工艺条件下,反应2 h后COD、TOC、氨氮、色度的去除率达到最大,分别为62.80%、41.15%、42.48%和95.00%;粉末活性炭作为颗粒电极可使染料废水COD去除率提高18个百分点;重复使用10次的处理效果与第2次基本持平。     

Spectral trend of vegetation with rainfall in events of El Niño-Southern Oscillation for Atlantic Forest biome,Brazil

This study aimed to analyze the spectral trend of vegetation with rainfall in El Niño-Southern Oscillation events (ENSO) in the Atlantic Forest, Brazil. Monthly rainfall data were collected from 85 conventional meteorological stations (EMC), data from the Enhanced Vegetation Index 2 (EVI2) and ENSO events (El Niño, La Niña, and Neutral) in the period from 2001 to 2013. Afterwards, state cluster analysis was performed using the results of non-parametric tests. The Mann-Kendall (MK) non-parametric test did not identify a trend pattern in rainfall distribution in the Atlantic Forest. The results for EVI2 by state and region showed that the trend is decreasing in the Northeast Region, except for the states of Alagoas and Pernambuco. Southeast region showed an increasing trend of EVI2 (except for Rio de Janeiro and São Paulo), while the South region showed a decreasing trend. In the Midwest, the trend was significantly decreasing. In the prognosis elaborated for the future, the regions with significant declines of the vegetation were the Northeast and Midwest. This study shows that the Atlantic Forest in some regions of Brazil has been suffering from the growing urbanization process and there is a trend of soil degradation.     

间接蒸发冷却新风机组净化室内PM2.5特性

为有效降低室内PM2.5,指导间接蒸发冷却新风机组的设计选型,推导了新风机组净化效力和净化能效评价指标的数学表达式,并利用自行研制的间接蒸发冷却新风机组,分析了2种过滤器在不同运行工况下净化PM2.5的特性。结果表明,MERV 7+16和MERV 7+13的计数效率均随颗粒物粒径增加而提高,且前者的计数效率高于后者;由于滤材的不同,MERV 7+16的初阻力更小。MERV 7+16的渗透系数更小,其净化效力也要大于MERV 7+13;由于PM10在室内的自然沉降作用更显著,过滤器对PM10的净化效力明显大于PM2.5和PM1。将室内新风负荷作为新风机组能耗的一部分,在对比天津和南宁地区新风机组的净化能效时发现,由于两地区冬季室外温度存在明显差异,导致处于天津地区的新风机组若要在冬季获得同等的洁净空气量,需付出更多的能耗代价。     

面向县域尺度SDG 15.1.2的生物多样性重要区域遥感识别和量化评估——以德清县为例

联合国2030年可持续发展目标(SDG)中指标15.1.2由于元数据的尺度和可用性的问题,无法有效应用于县域尺度的评估。针对这一问题,利用遥感的数据及相关模型,基于县域尺度指标计算的考虑,从生物多样性的内涵出发,构建了一套生物多样性遥感评估指标体系,成功识别了案例区域生物多样性重要场地,实现了县域尺度SDG 15.1.2的量化计算。结果表明,研究区德清县在SDG 15.1.2实施情况良好,构造的生物多样性指数能够有效地监测县域尺度生物多样性状况及其变化。研究为SDG 15.1.2的评估提供了一种可操作的有效方法,为基层行政区域实现可持续发展的规划提供精准的参考信息。     

太空环境下锂离子电池热失控与火灾的研究展望

综述了锂离子电池的热失控机理,介绍了由于电池内部电解液、电池隔膜和电极材料分解的链式热反应过程而引发的热失控和火灾现象。同时,讨论了锂离子电池在微重力太空环境中可能产生的烟黑浓度倍增,加速火蔓延,火焰喷射等极端火行为。进而探讨了开展锂离子电池的低压、落塔和抛物飞行等地面实验模拟太空微重力燃烧的方法可行性,建立数值模型预测太空微重力环境下锂离子电池热失控临界条件与火灾行为的必要性,以及如何通过基础研究科学地指导空间站电池热管理和消防系统的设计。     

Natech风险研究:现状、理论及展望

由自然灾害引发的工业企业环境安全事故又称为自然灾害诱发的技术事故(Natech).我国是工业大国,重化工业是我国的主导产业之一;同时我国还是世界上自然灾害严重的国家之一,Natech风险不容忽视.开展Natech风险识别、评估和管理研究,有助于我国Natech风险管理体系的完善,防范和降低区域Natech风险.目前,我国Natech风险基础研究尚处于起步阶段,难以支撑我国Natech风险防控实践.本文从Natech风险发生机制、风险评估、风险感知与最大可接受风险水平、风险管理体系等四个方面回顾了国内外Natech风险研究现状,初步梳理了Natech风险的基本理论,并对我国未来Natech风险的研究方向进行了展望,为我国Natech风险研究领域的发展提供参考.     

Contextual and organizational factors in sustainable supply chain decision making: grey relational analysis and interpretative structural modeling

Environment, Development and Sustainability - Sustainable supply chain emerges as a major business trend essential to long-term competitive advantage. Relevant corporate decisions concern a broad...