A comprehensive review on green buildings research: bibliometric analysis during 1998–2018

Environmental Science and Pollution Research - Buildings account for nearly 2/5ths of global energy expenditure. Due to this figure, the 90s witnessed the rise of green buildings (GBs) that were...     

A combined radical and non-radical oxidation processes for efficient degradation of Acid Orange 7 in the homogeneous Cu(II)/PMS system: important role of chloride

Environmental Science and Pollution Research - Trace copper ion (Cu(II)) in water and wastewater can trigger peroxymonosulfate (PMS) activation to oxidize organic compounds, but it only works under...     

2005-2019年我国重特大安全生产事故特征分析

为探究我国重特大安全生产事故特征,选取2005-2019年国内852起重特大事故作为研究对象,基于Python编程语言针对重特大事故发生的年份、季度、月份、工作日与非工作日、地域特征进行分析.结果表明:2005-2019年,国内重特大安全生产事故起数和死亡人数均在不断下降;第四季度发生重特大事故最多,而第三季度平均每起事故造成的死亡人数最多;重特大事故数量和死亡人数随月份显示出反复波动的趋势,均呈现3个"^",形;工作日期间发生的重特大事故数量最多,非工作日平均事故率最大;国庆节是重特大事故发生最多的节假日;贵州、湖南、山西、云南、河南等省份"十四五"期间需要重点加强安全和应急管理.     

Processes involved in uptake and release of nitrogen dioxide from soil and building stones into the atmosphere

Atmospheric NO₂ was taken up by samples of various soils and building stones. The NO₂ uptake rate constants were highest in soil samples taken during the summer months. However, the NO₂ uptake rate constants of the soils and building stones were not significantly correlated with any of the following variables: moisture, pH, ammonium, nitrite, or nitrate. NO₂ uptake by soil and stone was not abolished by autoclaving indicating a chemical uptake process. NO₂ uptake by acidic and air-dry soils and stones resulted in nearly stoichiometric reduction of NO₂ to NO. This reduction was enhanced by the addition of ferrous iron and was further enhanced by incubation under 1 ppmv SO₂. The results suggest that NO₂ reduction may be coupled to oxidation of ferrous to ferric iron which may be reduced again by atmospheric SO₂ thus regenerating the ferrous iron content of the soil or stone. Conversion of NO₂ to NO was not observed in neutral or/and moist soils and stones. NO₂ was also taken up by purified and sterilized quartz sand moistend with water. This uptake was enhanced by addition of humic material but not by addition of bacteria which both had been extracted from genuine soil. Under most conditions, only uptake but no release of NO₂ was observed. However, NO₂ was released in air-dry soils that were heated to 45–65°C, or in ammonium-fertilized soil or stone that was drying up at room temperature. Under the latter conditions mimicking field practice, the NO₂ release reached rates that were similar to the NO release rates.     

三峡水库忠县至秭归县段消落带植被群落特征研究

为了研究三峡水库周期性的水位调节对消落带植被群落特征的影响，选择重庆忠县至宜昌秭归段的消落带植被群落进行研究，运用重要值和多样性指数分析不同高程的植物种类组成、生活型分布特征及物种多样性。结果表明：（1）研究区域统计植物共32科70属73种，禾本科、菊科和豆科是3个优势科，单种、属现象明显；狗牙根、苍耳、鬼针草、苘麻、鳢肠、酸模叶蓼、莲子草是3个高程的共存种，其中，狗牙根和苍耳在3个高程均为优势物种。（2）研究区域共统计11种植物生活型，在消落带下部和中部，一年生草本植物占绝对优势；在消落带上部，多年生草本植物成为优势生活型，生活型类型多样化，蕨类、藤本、灌木以及乔木植物开始出现。（3）消落带植物群落的丰富度、多样性、均匀度指数均随海拔变化表现出显著差异，并且随海拔升高呈现上升趋势。由此可见，水位变化对植物群落结构和物种多样性产生很大影响，在低海拔区段，消落带物种组成简单化，耐水淹和繁衍能力强的植物成为优势物种；随着海拔上升，水淹胁迫减弱，出现更多适应水位变化的植物种类，使植物群落沿海拔变化形成不同的分布特征。这些研究结果对三峡库区消落带生态修复植物的筛选，以及物种多样性的提高具有参考价值。     

日本国土开发利用及对我国的启示

日本在战后经历了经济高速增长，工业化和城市化快速推进的发展历程，其间土地利用在结构、规模、价格、集约利用等方面发生了巨大变动。本文全面分析了二战之后，日本在经济高速增长、产业结构巨大变动、城市化迅速推进的发展过程中．农业用地、工业用地和城市用地在结构、规模、价格、集约利用程度等方面的特征；日本政府针对经济发展和土地利用的变动和影响。制订的一系列规划调整措施和政策法规体系。通过以上分析，探讨日本在有限的土地资源条件下实现经济高速增长的原因、途径和措施，以及对我国的启示。     

山东省矿产资源可持续利用面临的困境及解决途径

山东省正处于工业化的中期阶段。矿产资源可持续利用面临重大挑战。本文分析了我国矿业大省——山东省的矿产资源开发利用存在的问题。提出山东省提高矿产资源的保障能力、促进矿产资源可持续利用的对策建议。     

亚热带稻田土壤碳氮磷生态化学计量学特征

为了解稻田土壤中是否存在稳定的土壤有机碳(C)、氮(N)和磷(P)比值,基于亚热带区110个水稻土剖面和587个发生层的土壤调查数据库,在区域尺度上分析了典型水稻土C∶N∶P比值的生态化学计量学特征,并应用相关分析和冗余分析,研究水稻土C∶N∶P比值与土壤-环境因子(地形和母质、土壤发生层、土壤类型和土壤理化性质)的关系.结果显示,亚热带区稻田土壤C∶N、C∶P和N∶P的剖面加权平均值分别为12. 6、49和3. 9,C∶N∶P为38∶3. 2∶1.不同母质起源、不同土壤亚类和不同发生层的水稻土C∶N变异相对较小;但C∶P和N∶P的变异很大,两者均值也远低于全球(186和13. 1)和中国土壤(136和9. 3)的C∶P和N∶P的平均水平.尽管稻田土壤剖面的C∶N∶P相对不稳定,但由于稻田表土生物与环境相互作用强烈,表土C∶N相对稳定(14. 2).这反映长期水耕熟化作用下,稻田表土中C和N仍存在紧密的耦合作用.然而,在稻田土壤剖面上,C∶P和N∶P并不稳定,SOC与全P含量、全N与全P含量也无显著相关性,表明环境变化可能导致土壤C∶N∶P解耦.地形、土壤质地、氧化铁和容重是调控稻田土壤剖面C∶N∶P的关键土壤环境因子.