哈尔滨市松花江段水质自然净化机理分析与水环境保护策略

河流水体受污染后，在自然环境因素的影响下由各种物理、化学及生物作用能得到一定的净化。哈尔滨市松花江段河流水质净化作用主要包括稀释、吸附、江底沉积物的机械过滤与吸附和絮凝沉淀作用。哈尔滨市松花江断面正处于河流侵蚀与堆积交替动态平衡中，可不断提供新的活性表面，使河底沉积物的净化作用持久不衰。该特殊的地质条件是本段河流保持较强净化作用的关键，妥善利用水环境净化能力是一种经济有效的水污染控制手段。     

Treatment of azo dye Orange II in a sequential anaerobic and aerobic-sequencing batch ractor system

We studied the biodegradation of Orange II in a sequential anaerobic and aerobic-sequencing batch reactor system. Granular activated carbon was used either packed into a column or added directly into the anaerobic reactor to investigate the treatment performance between the two operation conditions. We found that the circulation of mixed liquor between the anaerobic reactor and the carbon-packed column enhanced the chemical oxygen demand from 28 to 52% and Orange II removal efficiencies from 88 to 96%, under simultaneous adsorption and biodegradation process. The morphology of microbes was observed under an electron-scanning microscope.     

活性污泥运转效能的生物监测

讨论了θ/℃，pH,ρ(BOD)/mgL^-1,ρ(COD)/mgL^-1,ρ(SS)/mgL^-1,ρ(N)/mgL^-1,ρ(P)/mgL^-1,w(Cu^2 )/10^-6等几个影响活性污泥状况的理化因素，认为必须调节均化进水的水质水量，并调控污泥龄，回流比，曝气量等各种运行参数，分析了活性污泥的生理，生化监测法及运用细菌，藻类，原生动物，后生动物所进行的生物监测，提出通过监测原生动物群落动态是判断活性污泥运行效能的一种较简便准确的方法，比较了斑点杂交法（dot blot hybrid-ization)，最大机率法（most probable number methods,MPNM),抗体（antibody)法和荧光原位杂交（fluorescent in situ hy-bridization,FISH)法检测氨氧化菌（ammonia-oxidizing bacteria)数量的效果，表明斑点杂交法具有高的准确度，并能检测出较低密度的细菌，MPNM低估了细菌数量，抗体法有高估细菌数的可能，FISH法对氨氮含量高的活性污泥混合液检测结果较好，但对低氨氮含量污水厂出水和河水的检测效果不佳。     

可循环利用污泥专用处置场建设的探讨

着重论述了国内外城市污水处理厂污泥的各种处置方法及处置现状，提出污泥土地利用是目前国内外污泥处理中的主体和重点发展的方式。根据上海市具体市情和污泥处置状况，提出在上海市建没污泥专用处置场，以解决污泥大量处置和最终用于土地利用的思路。比较详细地探讨了国外污泥专用处置场运行的现状，指出污泥专用处置场比污泥有效利用场能更大量地处置污泥且可循环反复处置，它占地面积小，在土地紧缺的上海更具利用优势。在此基础上，提出了适合上海市情的污泥专用处置场工艺流程设计、综合运行框架和具体的技术要求，以保证污泥能安全有效地处置利用，经过分析，指出在上海兴建污泥专用处置场处置污泥能获得较好的经济效益和环境效益。     

A Bayesian network approach to modelling land-use decisions under environmental policy incentives in the Brazilian Amazon

ABSTRACT

Deforestation driven by agricultural expansion is a major threat to the biodiversity of the Amazon Basin. Modelling how deforestation responds to environmental policy implementation has thus become a policy relevant scientific undertaking. However, empirical parameterization of land-use/cover change (LUCC) models is challenging due to the high complexity and uncertainty of land-use decisions. Bayesian Network (BN) modelling provides an effective framework to integrate various data sources including expert knowledge. In this study, we integrate remote sensing products with data from farm-household surveys and a decision game to model LUCC at the BR-163, in Brazil. Our ‘business as usual’ scenario indicates cumulative forest cover loss in the study region of 8,000 km² between 2014 and 2030, whereas ‘intensified law-enforcement’ would reduce cumulative deforestation to 1,600 km² over the same time interval. Our findings underline the importance of conservation law enforcement in modulating the impact of agricultural market incentives on land cover change.     

长江上游典型区域丰枯转换期水资源变化分析

针对长江上游金沙江下游区域近几年6月和10月出现的较剧烈的水资源丰枯转换现象,以2018年金沙江下游来水过程作为研究案例,考虑金沙江下游流域来水组成及水利工程建设情况,从区间流量分析及上游水库群调蓄影响分析两方面开展了研究工作。研究结果表明:金沙江下游流域丰枯转换主要影响因素为三堆子流量变化,三堆子至溪洛渡区间流量变化影响较小。在6月,上游水库群调蓄对金沙江下游流域丰枯转换影响较大,10月影响相对较小。相关研究成果可为溪洛渡-向家坝梯级水库调度计划制订及实际调度工作提供参考。     

电催化氧化降解大气中甲醛的研究

将有机废气通过高效微孔曝气转移到液相,采用活性碳纤维作为电极,研究不同鼓气速率和不同电压对处理效果的影响.结果表明,本方法适用于低浓度高气量有机废气的处理.在实验范围内,当曝气速率为20L·h-1,外加电压为5V的条件下,处理速率最稳定.     

碱矿渣胶凝材料固化重金属污泥的研究

主要原材料为高炉矿渣的碱矿渣胶凝材料(HAS)、掺3%沸石的HAS、掺5%沸石的HAS、水泥等4种固化材料被用来固化人工合成含铅、镉、铬等重金属的污泥。污泥固化体中污泥与固化材的掺和比例为4:1。实验结果表明,HAS固化剂对重金属污泥的固化效果要好于水泥,其污泥固化体的无侧限抗压强度高于水泥固化体,同时其固化体的重金属浸出量明显低于水泥。沸石的掺入使HAS固化体的重金属浸出量减小,且随着沸石掺加量的增大,HAS固化体的重金属浸出量相应的减少。     

A nonparametric procedure for analyzing repeated measures of spatially correlated data

Many agricultural, biological, and environmental studies involve detecting temporal changes of a response variable, based on data observed at sampling sites in a spatial region and repeatedly over several time points. That is, data are repeated measures over time and are potentially correlated across space. The traditional repeated-measures analysis allows for time dependence but assumes that the observations at different sampling sites are mutually independent, which may not be suitable for field data that are correlated across space. In this paper, a nonparametric large-sample inference procedure is developed to assess the time effects while accounting for the spatial dependence using a block bootstrap. For illustration, the methodology is applied to describe the population changes of root-lesion nematodes over time in a production field in Wisconsin.