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.     

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.

     

Applicability of hybrid bionic optimization models with kernel-based extreme learning machine algorithm for predicting daily reference evapotranspiration: a case study in arid and semiarid regions,China

Environmental Science and Pollution Research - The accurate prediction of daily reference crop evapotranspiration (ETO) enables effective management decision-making for agricultural water...     

曝气策略对膜面剪切力的影响机制及其优化

曝气冲刷是浸没式MBR工艺不同于常规活性污泥法工艺的关键特征,然而现行规范的曝气系统设计与运行比较粗放,缺乏气泡尺寸模拟优化方法。以可直接观测的工程规模 (500 m³·d⁻¹) 膜生物反应器为研究对象,对穿孔管角度进行了优化研究,并用群体平衡模型(Population Balance Model,PBM)模型模拟污泥混合液不同粘度下的内部气泡分布情况。结果表明：穿孔管角度垂直向下、60°、45°、30°、垂直向上在膜面产生的平均剪切力分别为1.74、1.46、1.19、1.38、1.67 Pa,这表明曝气角度最优为垂直向下。0.3%、0.5%和0.8%浓度的羧甲基纤维素钠(Carboxymethyl cellulose, CMC)下产生的平均剪切力分别是1.51、1.92、2.24 Pa,气泡直径逐渐增大。且气泡尺寸越大、流速越大,分布越均匀。基于0.3%、0.5% CMC的速度实验结果与 PBM模拟结果基本吻合。该研究结果可为MBR技术的工艺优化和系统控制方法提升提供参考。     

污泥与香蕉秸秆混合厌氧发酵特性

为提高污泥、香蕉秸秆厌氧发酵的甲烷产率,采用批式实验,研究污泥与香蕉秸秆厌氧发酵及其协同特性。实验结果表明：污泥和香蕉秸秆实验组分别会出现氨抑制、酸抑制现象,影响厌氧发酵的进行,一段时间后都可以自行解除抑制恢复产气。热碱污泥、碱浴秸秆实验组均可以解除抑制作用,甲烷产率较预处理前分别提高43%、176%。混合物质发酵实验组的甲烷产率较热碱污泥、碱浴秸秆实验组分别提高了110%、30%,较污泥和香蕉秸秆实验组分别提高了200%、259%。说明污泥和香蕉秸秆混合厌氧发酵,可以提高甲烷产率。     

木屑-硫磺填充床反硝化生物滤池强化硝酸盐去除

针对污水处理厂二级出水深度脱氮的需求,设计了以木屑与硫磺颗粒为填料（质量比1:1）的反硝化生物滤池,对碳氮比失衡的污水处理厂二级出水进行深度脱氮处理。结果表明,木屑释放碳源速率在10 d之后趋于稳定,COD中（40.6±10.0）%是反硝化菌可直接利用的VFA。反硝化生物滤池运行的最佳HRT为10 h,在此条件下,进水硝酸盐（以N计）浓度为30 mg·L-1时,出水硝酸盐浓度最低为11.5 mg·L-1,亚硝酸盐（以N计）浓度最低为1.4 mg·L-1,反硝化生物滤池内未发生硝酸盐异化还原（DNRA）作用,出水无氨氮积累。出水SO42-浓度最高为73.8 mg·L-1。反硝化生物滤池运行稳定后,出水中COD未超过30 mg·L-1,木屑释放的碳源与异养反硝化过程消耗的碳源持平,经反硝化生物滤池深度处理的出水中无过量残留有机物。出水pH稳定在6.9~7.4范围内,反硝化生物滤池无需外加碱类物质。