Concentrations,spatial distribution,and pollution assessment of heavy metals in surficial sediments from upstream of Yellow River,China

Surface sediments were collected from 122 sites in the upstream of the Yellow River, China. The concentration of Fe, Mn, Cu, Ni, Zn, Cr, Pb, and Cd in sediments was investigated to explore the spatial distribution based on statistics and interpolation method. The results suggested that the concentrations of heavy metals were lower than potential effect levels (PEL). The samples above threshold effect level (TEL) for Pb and Zn were less than 10%, while almost 50% of samples for Ni exceeded PEL. Pb and Zn in sediments performed little or no adverse effects on the aquatic ecosystems. Higher concentrations of all heavy metals occurred in Qinghai and Gansu sections; the concentrations of Cu, Ni, and Zn were significantly higher than the Inner Mongolia section. Lower concentration of Fe, Mn, Cu, Ni, and Zn appeared in Qinghai section; the concentrations of Fe, Mn, Cr, and Pb manifested relatively steady and similar distributions and approximately decreasing tendency along the upstream of Yellow River.

     

Light absorption enhancement of particulate matters and their source apportionment over the Asian continental outflow site and South Yellow Sea

Environmental Science and Pollution Research - Light absorption enhancement of black carbon due to the aerosol mixing states is an important parameterization for climate modeling, while emission...     

Modeling traffic-related air pollution in street canyons of Beijing

It is important to develop a general model to accurately simulate the air pollution in urban street areas. In this paper, the Operational Street Pollution Model (OSPM) initially developed in Denmark is tested with measured data from a relatively wide and open street in Beijing. Major factors influencing the dispersion, such as emission factors, stationary source emissions, and solar radiation, are analyzed. Results show that the model can reflect the basic dispersion pattern in the street but gives systematically higher concentrations. After modifications to estimate street-level wind speed in the model, performance is obviously improved.     

危险废物城市环境风险评估方法及案例研究

在不同经济社会发展情况下,危险废物的风险源危险性和风险受体脆弱性存在很大差异。因此,城市对危险废物采取的风险防控和应急措施应该因城市而异。然而,目前我国大部分城市对危险废物的管理仍然是全过程从严管理,并未建立基于风险评估的环境管理体系。本研究以城市为边界,从危险废物的风险源危险性、风险受体脆弱性和风险防控与应急能力3个维度构建评估指标体系,然后在层次分析法的基础上,采用等比例分配法对指标进行赋权,并运用线性加权法合成经过正向化处理的指标评分值,从而得出危险废物城市环境风险评估结果。通过计算3个维度评分值的耦合度,可以确定风险防控与应急能力维度与风险源危险性维度和风险受体脆弱性维度的匹配程度。运用该方法对深圳市开展案例研究,结果表明,深圳市在“无废城市”建设试点期间,主要通过提升风险防控与应急能力,将危险废物城市环境风险值降低了20.7%;并且风险防控与应急能力维度与风险源危险性维度和风险受体脆弱性维度的匹配度较高,属于高风险高能力城市。因此,建议深圳市在下一步工作中,继续完善涉危险废物项目环境准入审查,严格评估危险废物再利用安全,不断加强信息化手段在环境监管中的应用,避免涉危险废物突发环境事件的发生,全面降低危险废物对城市造成的环境风险。     

改良剂与植物联合修复对汞铊矿废弃物重金属淋溶释放行为及微生物群落结构的影响

为探究改良剂赤泥(富铁铝的工业废弃物)与鱼粪(富氮磷的有机质)作为改良剂结合2种典型先锋速生植物(巨菌草和黑麦草)对汞铊矿废弃物中典型重金属(Hg、As、Sb、Tl等)淋溶释放的原位控制效果,通过150 d淋滤实验,考察了单一改良剂、混合改良剂及改良剂联合植物对汞铊矿废弃物和淋滤液理化特征、重金属淋溶释放规律及微生物群落结构的影响。结果表明,添加鱼粪和赤泥结合植物种植能显著抑制汞铊矿废弃物中As、Tl和Sb的释放,同时显著促进废弃物中Hg的溶出(P<0.05)。随着淋溶时间的延长,5个批次淋滤液中As、Tl和Sb的质量浓度分别降至对照组的21.28%~56.56%、33.21%~63.15%、32.23%~56.62%。经处理后汞铊矿废弃物中养分有所提高,相较于对照组,各处理组废弃物pH由3.87升至5.56~6.78,速效钾(AK)含量是对照组的5.60~8.75倍,有机质(OM)由对照组的0.64 g·kg⁻¹增至2.50~3.14 g·kg⁻¹。同时,改良剂与植物联合修复改善了汞铊矿废弃物微生物群落丰富度和多样性,其中以黑麦草组的细菌群落丰富度最高。综合考虑重金属淋溶释放控制和微生物群落结构改善,选择鱼粪和赤泥混合改良并种植巨菌草对汞铊矿废弃物的修复效果最佳,以上研究结果可为汞铊矿废弃物中重金属释放的原位控制与无土快速生态修复提供技术支持。     

南水北调中线清河溶解性有机物的光降解行为

溶解性有机物(dissolved organic matter, DOM)在水环境中普遍存在,其光降解行为与种类和来源密切相关。近年来,南水北调中线工程沿线中DOM含量过高问题逐渐引起了人们对饮用水水源水质的关注。利用三维荧光光谱与紫外可见吸收光谱表征了清河段DOM在水(Water DOM, W-DOM)、底泥(sediment-derived DOM, S-DOM)、藻胞内(intracellular DOM, I-DOM)和胞外(extracellular DOM, E-DOM)这4种典型来源中的光学性质和光降解行为。结果表明,W-DOM的主要来源是藻类代谢产生的E-DOM;S-DOM的主要形成原因是藻细胞破裂释放I-DOM。DOM的光漂白主要发生在紫外区,且UV-B波段的光漂白效率大于UV-A波段。W-DOM、S-DOM和E-DOM中有色DOM(chromophoric DOM, CDOM)的降解率基本相同,为40%~50%;I-DOM中CDOM降解率相对较低,约为25%。光照可以将W-DOM、S-DOM和E-DOM中复杂的大分子物质分解成结构简单的小分子物质。CDOM中类腐殖质的光降解率比类蛋白质更高,W-DOM、S-DOM和E-DOM中CDOM与类腐殖质的光降解速率在相同时间下基本保持一致;S-DOM和E-DOM中CDOM与类蛋白质的光降解速率在相同时间下基本保持一致。以上结果反映了太阳辐射对水环境中DOM的转化和去除机理,为河流水质保护提供了理论依据。     

How changing grain size affects the land surface temperature pattern in rapidly urbanizing area: a case study of the central urban districts of Hangzhou City,China

Environmental Science and Pollution Research - Urbanization has led to the rapid and large-scale changes in land use and land cover and has affected the spatial distribution of land surface...     

Groundwater geochemical signatures and implication for sustainable development in a typical endorheic watershed on Tibetan plateau

Environmental Science and Pollution Research - Groundwater resource is significantly important for sustainable development of the world, especially for arid endorheic watersheds. A total of 28...     

Status of water use and potential of rainwater harvesting for replacing centralized supply system in remote mountainous areas: a case study

Environmental Science and Pollution Research - The failure of the centralized water supply system forced XY community to become more dependent on uncertain and unstable water sources. The results...     

Insight into the dynamic microbial community and core bacteria in composting from different sources by advanced bioinformatics methods

Microbial communities are important for high composting efficiency and good quality composts. This study was conducted to compare the changes of physicochemical and bacterial characteristics in composting from different raw materials, including chicken manure (CM), duck manure (DM), sheep manure (SM), food waste (FW), and vegetable waste (VW). The role and interactions of core bacteria and their contribution to maturity in diverse composts were analyzed by advanced bioinformatics methods combined sequencing with co-occurrence network and structural equation modeling (SEM). Results indicated that there were obviously different bacterial composition and diversity in composting from diverse sources. FW had a low pH and different physiochemical characteristics compared to other composts but they all achieved similar maturity products. Redundancy analysis suggested total organic carbon, phosphorus, and temperature governed the composition of microbial species but key factors were different in diverse composts. Network analysis showed completely different interactions of core bacterial community from diverse composts but Thermobifida was the ubiquitous core bacteria in composting bacterial network. Sphaerobacter and Lactobacillus as core genus were presented in the starting mesophilic and thermophilic phases of composting from manure (CM, DM, SM) and municipal solid waste (FW, VW), respectively. SEM indicated core bacteria had the positive, direct, and the biggest (>?80%) effects on composting maturity. Therefore, this study presents theoretical basis to identify and enhance the core bacteria for improving full-scale composting efficiency facing more and more organic wastes.