Sugarcane monoculture drives microbial community composition,activity and abundance of agricultural-related microorganisms

Environmental Science and Pollution Research - Sugarcane monoculture (SM) often leads to soil problems, like soil acidification, degradation, and soil-borne diseases, which ultimately pose a...     

飞机氮氧化物排放指数计算方法研究

飞机发动机的噪声和氮氧化物排放已成为日益严重的环境问题,对人类和生态环境的影响越来越严重。自国际民航组织颁布国际民航公约附件16《第Ⅰ卷航空器噪声》和《第Ⅱ卷航空发动机排放物》以来,为控制航空器发动机排放物污染,特别是氮氧化物污染,国际民航组织一直在研究更加严格的发动机排放物限制标准,以减少航空活动中飞机发动机对人类和环境的影响。以实例的形式列举了B787-800在4个阶段氮氧化物排放指数(EINOx)的计算过程,可为我国大飞机氮氧化物排放适航标准提供信息参考。     

广州近地面臭氧浓度特征及气象影响分析

利用2015年广州市近地面逐时臭氧(O_3)观测资料及气象数据,分析了广州地区近地面的O_3浓度时空分布特征及其与气象因子的关系.结果表明:广州地区城郊的O_3浓度高于中心城区;广州地区近地面的O_3浓度超标时间主要出现在4—9月,8月O_3浓度最高,3月O_3浓度最低;O_3浓度日变化呈现"单峰型"分布,早上7:00—8:00出现最低值,15:00达到峰值;O_3浓度与气温呈正相关,当气温高于30℃时,O_3浓度随温度升高增加明显;与相对湿度呈负相关,当相对湿度大于60%时,O_3浓度显著降低;当气压小于1010 hpa时,与气压呈负相关,当气压大于1010 hpa时,与气压呈正相关;当风力为2~3级吹西北偏西至西南偏西风区间时,O_3浓度最高,说明广州偏西部可能存在O_3污染源区;O_3浓度在晴天最高,其次是少云和多云天气,最低是在雨天.总体而言,气温高、日照长、辐射强、气压低、湿度小及2~3级的风力是广州地区近地面产生高浓度O_3的主要气象因素.当广州O_3浓度出现超标时,气温变化范围为25.9~37.4℃,相对湿度变化范围为29%~83%,气压变化范围为989.4~1009.1 h Pa,风速变化范围为0.7~5.8 m·s~(-1),紫外辐射强度日最大1 h均值最小为32.6 W·m~(-2),10:00—14:00均值最小为27.3 W·m~(-2).     

Evaluation of activated sludge properties’ changes in industrial-wastewater pre-treatment: role of residual aluminum hydrolyzed species with different polymerization degree

● Medium poly Al salts dominated the PAC residual salts with a rational dosage. ● Settlement flocculation effect under medium poly Al salts showed a better trend. ● Complex of medium poly Al salts and enzymes promoted cell activity. ● Medium poly Al salts were beneficial to the effluent indexes. With the widespread introduction of pre-coagulation prior to the biological unit in various industrial wastewater treatments, it is noteworthy that long-term accumulation of residual coagulants has certains effect on both micro and macro characteristics of activated sludge (AS). In this study, the morphology distributions of residual aluminum salts (RAS) and their effects on the removal efficiency of AS were investigated under different PAC concentrations. The results showed that the dominance of medium polymeric RAS, formed under an appropriate PAC dose of 20 mg/L enhanced the hydrophobicity, flocculation, and sedimentation performances of AS, as well as the enzymatic activity in cells in the sludge system, improving the main pollutants removal efficiency of the treatment system. Comparatively the species composition with monomer and dimer / high polymer RAS as the overwhelming parts under an over-dosed PAC concentration of 55 mg/L resulted in excessive secretion of EPS with loose flocs structure and conspicuous inhibition of cellular activity, leading to the deterioration of physico-chemical and biological properties of AS. Based on these findings, this study can shed light on the role of the RAS hydrolyzed species distributions, closely relevant to Al dosage, in affecting the comprehensive properties of AS and provide a theoretical reference for coagulants dosage precise control in the pretreatment of industrial wastewater.     

Multilevel air quality evolution in Shenyang: Impact of elevated point emission reduction

Visibility observed at different altitudes is favorable to understand the causes of air pollution. We conducted 4-years of observations of visibility at 2.8 and 60 m and particulate matter(PM) concentrations from 2015 to 2018 in Shenyang, a provincial city in Northeast China. The results indicated that visibility increased with the increasing height in winter(especially at night), and decreased with height in summer(especially at the daytime). PM concentration exhibited opposite vertical variati...     

基于深度学习的工程结构损伤识别研究进展

为避免或减轻工程结构在建造和运营期间因结构振动产生不同程度损伤,造成安全隐患危及人们生命财产安全,针对结构振动损伤识别技术展开研究,探讨不同深度学习方法发展情况及其利弊,寻找更具可行性的损伤识别方法,并对其最新研究及应用现状进行全面综述。研究结果表明:应用深度学习开发新的结构损伤识别技术,无需冗余的数据预处理以及手工提取损伤特征,实现以较高精度实现损伤识别任务;一维卷积神经网络（1D-CNN）以其独特的应用优势,在数据样本有限条件下较二维卷积神经网络（2D-CNN）表现更为出色。研究结果可为数据驱动的结构损伤识别问题提供新思路,进一步完善土木结构健康监测研究体系。     

一株异养硝化-好氧反硝化菌Bacillus flexus X1-L的分离鉴定及效能研究

近年来,随着中国经济的快速发展,水体中氨氮超标问题已严重影响到人类身体健康和生态环境平衡,有效去除水体中的氨氮已成为人们研究的热点.在传统污水生物脱氮处理中,常采用微生物的硝化、反硝化作用去除污水中的氮素,从而降低对环境的污染.本文从活性污泥反应器中分离出一株异养硝化-好氧反硝化菌株,并命名为X1-L.菌体经形态学观察、生理生化测定及16S rRNA基因序列分析,确定属于芽孢杆菌属（Bacillus sp.）,Genbank登录号为MT457091,并利用MEGA7.0软件建立了相应的系统发育树.在以NH₄⁺-N为唯一氮源的条件下,菌株X1-L生长较好,COD去除率为96.4%,氨氮去除率达到99.6%,经硝化作用去除的氮有43.7%,证明菌株X1-L具有异养硝化能力.在以NO₂^--N或NO₃^--N为唯一氮源的条件下,菌株X1-L生长也较好,COD去除率分别为95.3%和96.4%,NO₂^--N和NO₃^--N去除率分别为95.5%和96.5%,经反硝化作用去除的氮分别有67.7%和68.2%,证明菌株X1-L具有好氧反硝化能力.     

近断层地震作用下考虑温度和碰撞效应的曲线梁桥地震响应分析

为探究大温差地区曲线梁桥在近断层脉冲型地震动作用下的地震响应和碰撞效应，以西北大温差地区某曲线连续梁桥为工程实例，建立全桥非线性有限元模型并考虑变温作用对支座刚度的影响；分别以桥墩内力、支座位移和邻梁碰撞效应为指标研究曲线梁桥在近断层脉冲型地震动作用下的地震反应特性。结果表明:温度越低，地震波作用于结构的内力响应越大；曲线梁桥在地震动作用下邻梁间碰撞为面-面碰撞，且温度越高，碰撞效应越强；高阻尼橡胶支座在低温下体现出较强的耗能能力，在大温差地区的桥梁抗震设计中可作为参考；近断层脉冲地震动相较于远场地震动，结构地震响应更大，对结构的破环性更强，故在近断层地区的桥梁抗震设计中应予以重视。     

无锡市碳排放的因素分解模型及实证分析

在计算无锡市2000~2011年二氧化碳排放量的基础上,采用对数平均权重Divisia分解法,建立无锡市人均碳排放的因素分解模型,定量分析能源结构、能源效率、经济发展情况等因素对无锡市人均碳排放的影响。结果显示经济发展对拉动无锡人均碳排放的贡献率呈指数增长趋势,相比之下,能源效率及能源结构对碳排放的抑制作用并不明显。据此提出开发可再生能源,转变能源消费结构,发展清洁煤技术,提高能源利用率等对策。     

Seasonal to sub-seasonal variations of the Asian Tropopause Aerosols Layer affected by the deep convection, surface pollutants and precipitation

The Asian Tropopause Aerosols Layer (ATAL) refers to an accumulation of aerosols in the upper troposphere and lower stratosphere during boreal summer over Asia, which has a fundamental impact on the monsoon system and climate change. In this study, we primarily analyze the seasonal to sub-seasonal variations of the ATAL and the factors potentially influencing those variations based on MERRA2 reanalysis. The ability of the reanalysis to reproduce the ATAL is well validated by CALIPSO observations from May to October 2016. The results reveal that the ATAL has a synchronous spatiotemporal pattern with the development and movement of the Asian Summer Monsoon. Significant enhancement of ATAL intensity is found during the prevailing monsoon period of July–August, with two maxima centered over South Asia and the Arabian Peninsula. Owing to the fluctuations of deep convection, the ATAL shows an episodic variation on a timescale of 7–12 days. Attribution analysis indicates that deep convection dominates the variability of the ATAL with a contribution of 62.7%, followed by a contribution of 36.6% from surface pollutants. The impact of precipitation is limited. The ATAL further shows a clear diurnal variation: the peak of ATAL intensity occurs from 17:30 to 23:30 local time (LT), when the deep convection becomes strongest; the minimum ATAL intensity occurs around 8:30 LT owing to the weakened deep convection and photochemical reactions in clouds. The aerosol components of the ATAL show different spatiotemporal patterns and imply that black carbon and organic carbon come mainly from India, whereas sulfate comes mainly from China during the prevailing monsoon period.