Interactions between lead(II) ions and dissolved organic matter derived from organic fertilizers incubated in the field

This work was to study composition characteristics and the subsequent effect on the lead (Pb) binding properties of dissolved organic matter (DOM) derived from seaweed-based (SWOF) and chicken manure organic fertilizers (CMOF) during a one-year field incubation experiment using the excitation-emission matrix-parallel factor (EEM-PARAFAC) and two-dimensional correlation spectroscopy (2DCOS) analysis. Results showed that high aromatic and hydrophobic fluorescent substances were enriched in CMOF-derived DOM and SWOF-derived DOM and enhanced over time. And phenolic groups in the fulvic-like substances for SWOF-derived DOM and carboxyl groups in the humic-like substances for CMOF-derived DOM had the fastest responses over time, respectively. Moreover, both non-fluorescent polysaccharides and fluorescent humic-like substances or fulvic-like substances with aromatic (C=C) groups first participated in the binding process of Pb to SWOF-derived DOM on day 0 and 180 during the lead binding process. In contrast, humic-like substances associated with aromatic (C=C) and phenolic groups gave a faster response to Pb binding on day 360. Regarding CMOF-derived DOM, the fulvic-like substances associated with aromatic (C=C) and carboxylic groups displayed a faster response to Pb ions on day 0. Nonetheless, polysaccharides and humic-like associated with phenolic groups had a faster response on days 180 and 360. It is noteworthy that the polysaccharides, which participated in Pb binding to CMOF-derived DOM, posed a higher risk of Pb in the environment after 360 days. Therefore, these findings gave new insights into the long-term applications of commercial organic fertilizers for the amendment of soil.     

Source identification, contamination status and health risk assessment of heavy metals from road dusts in Dhaka, Bangladesh

In this study, concentrations of Cr, Mn, Ni, Cu, Zn, Cd and Pb were determined in road dusts collected from different locations in Dhaka to assess source, contamination status and health risk. Energy-dispersive X-ray fluorescence spectroscopy and energy-dispersive X-ray spectroscopy were used to determine Cr, Mn, Ni, Cu, Zn, Cd and Pb and their mean concentrations were 162.27 ± 29.46, 721.18 ± 180.14, 35.65 ± 12.55, 104.56 ± 128.33, 515.32 ± 321.90, BDL, and 342.82 ± 591.20 mg/kg, respectively. Among the heavy metals, highest concentrations of Cu, Zn and Pb were found at urban sites-7 (municipal waste dumping) and 8 (medical waste incineration). Highest concentration of Cr followed by Cu and Zn was found at site-5 (Tejgaon, urban). Principal component analysis revealed that anthropogenic activities are the potential sources for Cr, Ni, Cu, Zn and Pb while earth crust for Mn. Pollution index and pollution load index results suggested that all the sites were contaminated and/or degraded by Cr, Cu, Zn and Pb except sites-9 (urban), 10 (sub-urban), 11 (rural) while sites-7 and 8 (urban) were extremely degraded. For noncarcinogenic health risk, hazard quotient values for dermal were higher compared to that of inhalation/ingestion. Though hazard index values were less than 1 at all the sites, these were at least one order of magnitude higher for children group than that of adult group, thus the children group may face more noncarcinogenic health risk at sites-7 and 8. Values of incremental lifetime cancer risk were from 10⁻⁹ to 10⁻¹¹ showed no carcinogenic health risk by road dusts contaminated with the heavy metals.     

Microbial characteristics in anaerobic membrane bioreactor treating domestic sewage: Effects of HRT and process performance

Two anaerobic membrane bioreactors (AnMBRs) equipped with different membrane pore size (0.4 or 0.05μm) were operated at 25℃ and fed with domestic wastewater.The hydraulic retention time (HRT) of the reactors was shortened.The microbial communities of the two AnMBRs were investigated by 16S rRNA gene amplicon sequencing to see the effects of HRT.The predominant Archaea was an aceticlastic methanogen Methanosaeta.The composition of hydrogenotrophic methanogens changed with the HRTs:the population ...     

Year-round observation of atmospheric inorganic aerosols in urban Beijing: Size distribution, source analysis, and reduction mechanism

To investigate particle characteristics and find an effective measure to control severe particle pollution, year-round observation of size-segregated inorganic aerosols was conducted in Beijing from January to December, 2016. The sampled atmospheric particles all presented bimodal size distribution at four pollution levels (clear, slight pollution, moderate pollution and severe pollution), and peak values appeared at the size range of 0.7-2.1 μm and >9.0 μm, respectively. As dominant particle compositions, NO₃⁻, SO₄²⁻, and NH₄⁺ in four pollution levels all showed significant peaks in fine mode, especially at the size range of 1.1-2.1 μm. Secondary inorganic aerosols accounted for about 67.6% (36.3% (secondary sulfates) + 31.3% (secondary nitrates)) of the total sources of fine particles in urban Beijing. Severe pollution of fine particles was mainly caused by the air masses transported from nearby western and southern areas, which are industrial and densely populated region, respectively. Sensitivity tests further revealed that the control measures focusing on ammonium emission reduction was the most effective for particle pollution mitigation, and fine particles all showed nonlinear responses after reducing ammonium, nitrate, and sulfate concentrations, with the fitting curves of y = -120.8x - 306.1x² + 290.2x³, y = -43.5x - 67.8x², and y = -25.8x - 110.4x² + 7.6x³, respectively (y and x present fine particle mass variation (μg/m³) and concentration reduction ratio (CRR)/100 (dimensionless)). Overall, our study presents useful information for understanding the characteristics of atmospheric inorganic aerosols in urban Beijing, as well as offers policy makers with effective measure for mitigating particle pollution.     

焙烧炉筒体结构强度有限元分析

对焙烧炉筒体结构进行有限元建模仿真,考虑热应力、压力和重力对筒体结构受力的影响,计算了焙烧炉关键部位的蠕变疲劳寿命,同时探究进气温度、保温层及对流系数等参数的影响。结果表明:热应力是影响结构强度的关键因素;焙烧炉筒体在许用蠕变变形量为5%的情况下,其使用寿命超过设计寿命;在筒体加热过渡段铺设保温层,降低与外界空气对流和提高进气温度,有利于降低筒体应力。     

2种防护涂层体系在湿热海洋环境下防护性能的劣化规律研究

目的 研究2种防护涂层体系在湿热海洋环境下自然暴露3 a的防护性能劣化规律。方法 确定试验件为钢–铝(钢)螺接连接件,试验地点为海南万宁,并按周期测得不同暴露时间下涂层A和涂层B的外观形貌、色差、光泽度、表面傅里叶红外光谱、电化学阻抗的相关数据。通过对比分析测试结果,判断2种涂层在不同暴露时间下的劣化程度,并最终得到其劣化规律。结果 涂层A自然暴露1 a老化严重,紧固件区域涂层剥落,平板区域失光率约为75%,阻抗模量降低5个数量级,色差ΔE^*为5(轻微变色),涂层有机基团老化降解严重。涂层B自然暴露2 a,老化较严重,紧固件区域涂层剥落、生锈,平板失光率约为20%,阻抗模量降低2个数量级,色差ΔE^*为11(严重变色),涂层有机基团轻微老化降解。结论 对于螺钉连接结构,连接区域不仅更容易被腐蚀,而且增加了附近平板区域的不一致性。涂层体系B的保护能力优于涂层体系A,涂层体系B的有效保护时间约为2 a,而涂层体系A则不到1 a。     

滇中高原水库外源污染负荷贡献解析与环境容量核算

为探究高原型水库上游流域的污染负荷来源及其贡献率,并计算水库的水环境容量,以云南高原柴石滩水库为研究对象,应用排污系数法估算了水库上游流域污染来源,运用水文和水质同步监测资料计算入库污染负荷,采用富营养化模型核算了不同水质目标情景下水库TN和TP的最大容量.结果表明：(1)柴石滩水库及其以上流域主要特征污染物为TN和TP;(2)水库上游流域的COD和TP主要来源于农村面源污染,贡献率分别为49.40%和50.11%; NH⁺₄-N和TN主要来源于城镇生活污染,贡献率分别为45.76%和33.77%;农村面源污染贡献中,陆良县COD和TP贡献率最大,分别为34.82%和36.82%;城镇生活污染贡献中,麒麟区COD、 NH⁺₄-N、 TN和TP贡献率最大,均高达65%.(3)COD、 NH⁺₄-N、 TN和TP污染负荷入河量分别为28 050.90、2 465.16、4 680.54和870.93 t·a^-1,TN和TP污染负荷入库量分...     

三峡库区消落带落羽杉人工林土壤细菌群落结构多样性及动态变化

消落带是连接陆地与水域的交错地带,具有重要的生态功能,其适生木本植物的种植对消落带土壤的生物地球化学循环起着重要的作用.为探究适生植物对三峡库区消落带环境的适应机制,采用高通量测序技术对消落带退水后适生植物落羽杉(Taxodium distichum)不同生长时期(T1:5月、 T2:7月和T3:9月)的土壤细菌群落组成及多样性进行研究,同时采用PICRUSt2对细菌功能进行预测.结果表明,土壤pH值、硝态氮、铵态氮、土壤蔗糖酶、磷酸酶和脲酶等理化指标随时间变化显著(P<0.05);土壤细菌多样性、丰富度和结构也随时间变化而变化,除Chao1以外,根际土壤细菌的α多样性均表现为：T1>T2>T3,非根际土壤细菌α多样性则表现为：T3>T1>T2. RDA分析表明,影响细菌群落的理化指标主要有土壤pH值、脲酶、铵态氮和硝态氮.所有土壤样本中共检测到细菌60门,其中以变形菌门和酸杆菌门为优势细菌门.根据PICRUSt2预测,代谢是落羽杉土壤细菌群落中普遍存在的基本功能,与C、 N和P有关的各代谢途径存在一定的时间差异.以上研究结果有助于加深对三峡消落带植被修复...     

不同土地利用类型土壤多环芳烃的纵向污染特征及来源解析

为研究城郊地区不同土地利用类型土壤多环芳烃(PAHs)的纵向污染特征,对南京市郊菜地、林地、居民点、城镇用地、水田和工业区这6个不同土地利用类型土壤各1剖面(0～100 cm)的15种优控PAHs进行研究,分析了PAHs的纵向分布和组成特征、影响因素和来源.结果表明,6个采样点剖面∑₁₅PAHs含量分别为：菜地69.3～299.2μg·kg^-1、林地20.8～128.3μg·kg^-1、居民点30.7～142.1μg·kg^-1、城镇用地185.6～1 728.7μg·kg^-1、水田208.3～693.0μg·kg^-1和工业区165.6～739.2μg·kg^-1.居民点和林地没有污染,菜地污染水平较轻,水田和工业区污染水平中等,城镇用地污染较严重.除居民点和城镇用地以外的采样点土壤PAHs集中分布在表层或次表层,但在深层仍有检出,且各采样点各深度大多以高环PAHs为主. PAHs的分子特性及成分含量、土壤的理化性质和土地利用方式均会影响P...     

探索性数据分析在西藏气候变化趋势研究中的应用

为了减少小样本时间序列资料中个别异常值对气候变化趋势分析的破坏性影响,采用探索性数据分析方法之一的三组耐抗线对西藏近30年气温、云量资料进行线性趋势分析,研究了西藏地区气温和云量的变化趋势及其区域分布,并讨论了二者的相关特征。通过与传统的最小二乘法相比,表明三组耐抗线用于西藏气候变化趋势分析具有明显优势,而用最小二乘法得到的西藏气候变暖估计偏高。分析认为,西藏气候变暖主要由最低气温增高显著所致,最低气温变暖趋势在春、夏季较明显,冬季相对不明显;西藏各地增温幅度在空间分布上不一致,中、西部地区呈较强的增温趋势,东部相对较弱;西藏高原总云量和低云量总体呈减少趋势,总云量和低云量变少分别与西部和中部地区的升温之间存在显著负相关关系。