Knowledge spillovers and subsequent innovation in green energy: the role of public R&D

Environmental Science and Pollution Research -     

Long-term study of heavy metal pollution in the northern Hangzhou Bay of China: temporal and spatial distribution,contamination evaluation,and potential ecological risk

Environmental Science and Pollution Research - Coastal ecosystem is vulnerable to heavy metal contamination. The northern Hangzhou Bay is under intensifying impact of anthropogenic activities. To...     

曝气-絮凝处理垃圾渗滤液研究

通过现场处理 ,对垃圾渗滤液的曝气 -絮凝处理进行了研究。结果表明该方法对渗滤液的色度、COD、总磷去除率达 80 %以上 ,对氨氮去除率达 60 %以上。在此基础上提出了最优综合控制指标     

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。     

Numerical modeling of changes in groundwater storage and nitrate load in the unconfined aquifer near a river receiving reclaimed water

Environmental Science and Pollution Research - Reclaimed water (RW) has been widely used as an alternative water resource to recharge rivers in mega-city Beijing. At the same time, the RW also...     

DSCAM-AS1 promotes cervical carcinoma cell proliferation and invasion via sponging miR-338-3p

Environmental Science and Pollution Research - Deregulated lncRNA DSCAM-AS1 expression was found in several tumors. However, mechanism and functional role of DSCAM-AS1 in cervical carcinoma remain...     

环境污染物的分子毒理机制研究进展

以分子生物学技术为基础研究污染物的毒理机制．从分子水平揭示了污染物毒作用的本质。综述了国内外分子毒理机制的研究进展。详细阐述了毒理芯片、单细胞凝胶电泳等分子生物学技术应用与毒理学研究中的特点、应用前景以及存在的问题。提出了分子毒理机制今后的研究方向。     

活性污泥系统优化设计对不确定性参数的灵敏度研究

在活性污泥系统优化设计模型参数不确定性分析的基础上,考察了进水负荷、生物动力学参数、曝气设备性能参数和二沉池浓缩常数变化对优化设计的影响。灵敏度分析结果表明,对优化设计影响较大的参数为：进水水量水质、与氧转移效率相关的校正参数以及二沉池的浓缩常数等。研究结果对于低灵敏度系统的设计,提高优化设计结果的工程实用性具有重要的意义。     

垃圾填埋场对地下水污染的模拟研究

在对长春市某垃圾填埋场进行野外调查的基础上 ,于室内进行了垃圾淋滤模拟实验。分析了垃圾渗滤液污染组分的自然衰减规律 ,建立了垃圾填埋场地下水污染的数值模型 ,采用FEFLOW软件对其进行模拟和预报 ,并取得了较好的效果 ,最后提出防止和防治垃圾填埋场污染地下水的若干措施。     

Progress in developing an ANN model for air pollution index forecast

An air pollution index (API) reporting system is introduced to selected cities of China for public communication on air quality data. Shanghai is the first city in China providing daily average API reports and forecasts. This paper describes the development of an artificial neural network (ANN) model for the API forecasting in Shanghai. It is a multiple layer perceptron (MLP) network, with meteorological forecasting data as the main input, to output the next day average API values. However, the initial version of the MLP model did not work well. To improve the model, a series of tests were conducted with respect to the training method and structure optimization. Based on the test results, the training algorithm was modified and a new model was built. The new model is now being used in Shanghai for API forecasting. Its performance is shown reasonably well in comparison with observation. The application of the old model was only weakly correlated with observation. In 1-year application, the correlation coefficients were 0.2314, 0.1022 and 0.1710 for TSP, SO₂ and NO_x, respectively. But for the new model, for over 8 months application, the correlation coefficients are raised to 0.6056, 0.6993 and 0.6300 for PM₁₀, SO₂, and NO₂. Further, the new algorithm does not rely on manpower intervention so that it is now being applied in several other Chinese cities with quite different meteorological conditions. The structure of the model and the application results are presented in this paper and also the problems to be further studied.