基于地下管廊施工建筑垃圾产生特征的定量预测模型的建立

以浙江省宁波市地下管廊施工为研究对象,通过现场调研和建筑施工进度跟踪,建立了工程渣土、废弃混凝土、工程泥浆3种建筑垃圾的定量预测模型。结果表明:预计产生程渣土为83891.21 m3、废弃混凝土为4837.34 m3、工程泥浆为11435.27 m3。与真实值相比,模型的相对误差分别为8.6%,4.9%,3.5%,均低于20%,可认为三类建筑垃圾预测模型的建立有效。     

Responses of nitrification performance, triclosan resistome and diversity of microbes to continuous triclosan stress in activated sludge system

Triclosan(TCS) is commonly found in wastewater treatment plants,which often affects biological treatment processes.The responses of nitrification,antibiotic resistome and microbial community under different TCS concentrations in activated sludge system were evaluated in this study.The experiment was conducted in a sequencing batch reactor(SBR)for 240 days.Quantitative PCR results demonstrated that the abundance of ammonium oxidizing bacteria could be temporarily inhibited by 1 mg/L TCS and then ...     

七种环境毒物对指示菌E.coli的毒性研究

用指示菌来研究化学物质毒性具有快速、灵敏、简便、经济等优点。大肠杆菌(E.coli)是公认为较好的指示菌,对环境毒物尤为敏感。     

粤西震旦系含金建造及与金矿的关系

粤西震旦系Z~b组和Z~c组是重要的含金建造。原岩为一套陆源碎屑岩,其中夹有少量中酸性凝灰岩。建造中的金丰度高于克拉克值2-4倍,金的丰度及其分布主要受变质岩的基性程度,硫化物及有机质数量控制。     

基于TM影像的乌梁素海叶绿素a浓度反演

首先选取预处理后乌梁素海TM影像的单波段及波段组合与实测叶绿素a浓度进行分析,发现相关性很低。然后,结合乌梁素海的水利条件和自身特点,把湖区分为两个区,发现波段组合(TM1+TM2+TM4)/TM3和TM4/TM3与叶绿素a浓度有较高的相关性。最后,选取误差较低的波段组合(TM1+TM2+TM4)/TM3建立线性模型,实时、快速地反演乌梁素海湖区叶绿素a浓度,与实地情况吻合,为乌梁素海"黄苔"预警提供理论依据。     

膨胀污泥中丝状菌的分离鉴定与特性分析

为了阐明膨胀污泥中的丝状菌种类和特性,利用培养法、显微镜检和分子生物学分析技术从城市污水处理厂的膨胀污泥中分离鉴定丝状菌,并对典型丝状菌进行特性分析.利用高氏一号培养基和淀粉培养基分离出的丝状菌可归入18个属,其中链霉菌属(Streptomyce)、细杆菌属(Microbacterium)属于放线菌门,其余均属于真菌.青霉菌属(Penicillium)、枝孢菌属(Cladosporium)、链格孢属(Alternaria)、曲霉菌属(Aspergillus)、毛孢子菌属(Trichosporon)在培养基上的出现频次较高.毛孢子菌、链霉菌、青霉菌和链格孢菌都能在pH中性或偏酸性条件下良好生长.高浓度的Na Cl能够抑制毛孢子菌和链霉菌,但对青霉菌和链格孢菌的抑制作用不明显.除毛孢子菌外,链霉菌、青霉菌和链格孢菌都可有效地利用蔗糖、淀粉和纤维素,碳源浓度增加会促进它们的生长.r DNA-ITS区高通量测序结果表明膨胀污泥中存在大量未知真菌.     

省级生态保护红线划定实践研究 ——以青岛市为例

在省级及以上禁止开发区、重点生态功能保护区等进行调查分析的基础上,以青岛市为实践区域,与多类规划衔接,划定青岛市省级生态保护红线.青岛市最终划定59处省级生态保护红线区,面积合计1120.65 km2,占国土面积的9.9%.划定的生态保护红线符合确立"三生"空间和落实"多规合一"的要求,有利于改善生态系统服务功能,保障人居环境安全,增强经济社会可持续发展能力,对于青岛市市级生态保护红线的划定和生态安全格局的构建具有非常重要的意义.     

池杉在三峡水库消落带生态修复中的适应性

冬季淹没和夏季干旱的交替作用会导致三峡水库消落带生态系统质量下降. 为了探索有效的生态系统修复方式,选用池杉树种开展了消落带林泽工程试验,并采用统计分析和RDA(冗余分析)排序对水淹胁迫下池杉的生长响应进行了研究. 结果表明:种植在海拔169 m以上的池杉经历两轮冬季淹水后成活率约为84.52%;树高、冠幅和枝叶密度平均变化量较小,分别为0.10 m、0.04 m和-0.11%,而胸径和枝下高变化明显,平均改变量分别为0.78 cm和-0.64 m;树高、胸径、冠幅和枝叶密度等指标变化率在没顶和部分淹水情况下存在显著差异. 部分淹水时,池杉对水淹胁迫的适应能力较强,随着淹水深度的增加,各生长指标变化量均呈下降趋势,部分植株有枯梢,没顶和部分淹水情况下枯梢率分别为43.56%和11.76%. RDA结果表明,水力条件和初始生长特征共同对淹水后池杉生长变化产生影响,二者对池杉生长指标变化的总体解释率为31.20%,独立解释率分别为11.90%、14.40%,共同解释率为4.90%. 池杉作为适应三峡水库消落带水位变动的本土耐淹树种,其经历水淹后的生长变化不仅与水位变动有关,同时也与其淹水前的生长状态有关. 研究结果有助于三峡水库消落带类似生态修复工程的进一步深入开展.      

Impact of meteorological condition changes on air quality and particulate chemical composition during the COVID-19 lockdown

Stringent quarantine measures during the Coronavirus Disease 2019 (COVID-19) lockdown period (January 23, 2020 to March 15, 2020) have resulted in a distinct decrease in anthropogenic source emissions in North China Plain compared to the paralleled period of 2019. Particularly, 22.7% decrease in NO₂ and 3.0% increase of O₃ was observed in Tianjin, nonlinear relationship between O₃ generation and NO₂ implied that synergetic control of NO_x and VOCs is needed. Deteriorating meteorological condition during the COVID-19 lockdown obscured the actual PM_2.5 reduction. Fireworks transport in 2020 Spring Festival (SF) triggered regional haze pollution. PM_2.5 during the COVID-19 lockdown only reduced by 5.6% in Tianjin. Here we used the dispersion coefficient to normalize the measured PM_2.5 (DN-PM_2.5), aiming to eliminate the adverse meteorological impact and roughly estimate the actual PM_2.5 reduction, which reduced by 17.7% during the COVID-19 lockdown. In terms of PM_2.5 chemical composition, significant NO₃^? increase was observed during the COVID-19 lockdown. However, as a tracer of atmospheric oxidation capacity, odd oxygen (O_x = NO₂ + O₃) was observed to reduce during the COVID-19 lockdown, whereas relative humidity (RH), specific humidity and aerosol liquid water content (ALWC) were observed with noticeable enhancement. Nitrogen oxidation rate (NOR) was observed to increase at higher specific humidity and ALWC, especially in the haze episode occurred during 2020SF, high air humidity and obvious nitrate generation was observed. Anomalously enhanced air humidity may response for the nitrate increase during the COVID-19 lockdown period.