UASB处理低浓度城市生活污水的中试试验

研究1·2m3厌氧反应器(UASB),在自然温度(水温32~5℃)下,处理CODCr浓度为200mg/L左右的低浓度生活污水。实验采用颗粒污泥接种二次启动法。水处理系统在水温32~5℃范围内运行6个月的时间,UASB反应器在上升流速为1·4~1·7m/h,水力停留时间(HRT)为3·0~2·5h,CODCr有机污泥负荷(SLR)为0·06~0·13kg/(kg·d)时,去除效率比较稳定,CODCr去除率达40%~80%。     

武汉汉阳地区城市集水区尺度降雨径流污染过程与排放特征

2005年4月至8月对武汉市汉阳地区十里铺集水区进行了8次径流污染过程的水量、水质研究.结果表明,城市集水区尺度径流污染过程是降雨径流对整个集水区地表、排水系统中累积污染物的冲刷、携带过程,受集水区累积污染物数量、污染物可冲刷性和降雨径流特征的共同影响.城市降雨径流中初期污染物浓度显著高于后期,污染物浓度的峰值提前于径流的峰值,具有明显的初期冲刷效应.8次监测结果的算术平均值,初期5 mm、10 mm和15 mm降雨径流中TSS的负荷分别占总负荷的48%、68%和78%.初期径流中TSS的负荷与晴天累积天数呈线性正相关关系.     

哈尔滨松北区城市湿地土壤抗侵蚀效益价值估算

城市湿地是城市生态系统的重要组成部分,在土壤抗侵蚀方面起重要作用.以哈尔滨松北区城市湿地为研究对象,在哈尔滨松北区湿地的西区、中区及东区沿线共布设采样点3个.哈尔滨松北区城市湿地土壤抗侵蚀效益价值通过湿地减少土地废弃、河道淤积和土壤中肥力流失三方面的价值来估算.结果表明:哈尔滨市松北区城市湿地保护土壤、减少土壤侵蚀的总效益价值为1.900×107元/a;湿地土壤在抗侵蚀效益中的贡献率占总效益的1/5,其效益价值为3.800×106元/a.      

城市环境地球化学调查研究方法综述

总结了城市环境地球化学调查的技术路线,论述了城市环境地球化学解释的思路和方法,提出了城市环境地球化学调查研究的重点问题及研究方向,为开展城市环境调查和评价工作提供了有参考价值的研究线索。     

Mainstreaming risk reduction in urban planning and housing: a challenge for international aid organisations

The effects of 'natural' disasters in cities can be worse than in other environments, with poor and marginalised urban communities in the developing world being most at risk. To avoid post-disaster destruction and the forced eviction of these communities, proactive and preventive urban planning, including housing, is required. This paper examines current perceptions and practices within international aid organisations regarding the existing and potential roles of urban planning as a tool for reducing disaster risk. It reveals that urban planning confronts many of the generic challenges to mainstreaming risk reduction in development planning. However, it faces additional barriers. The main reasons for the identified lack of integration of urban planning and risk reduction are, first, the marginal position of both fields within international aid organisations, and second, an incompatibility between the respective professional disciplines. To achieve better integration, a conceptual shift from conventional to non-traditional urban planning is proposed. This paper suggests related operative measures and initiatives to achieve this change.     

基于CA的城市形态扩展多解模拟——以北京市东部平原区情景分析为例

构建了一个基于人工神经网络的约束型城市扩展CA模型。利用该模型,预测了北京市东部平原区在3种情景规划之下的未来50年的城市形态,为不同的城市发展模式之间的比较分析奠定基础。然后以2024年的北京东部平原区模拟城市形态为基准,从自然生态功效、社会服务功效、经济利益功效3个方面对3种规划模式进行了情景分析,从而系统的比较了3种规划模式的复合生态功效,为城市规划决策提供有力的支持。     

The dual discourse of urban resilience: robust city and self-organised neighbourhoods

Resilience has become a dominant disaster governance discourse. It has been criticised for insufficiently addressing systemic vulnerabilities while urging the vulnerable to self-organise. The urban resilience discourse involves a particular disconnect: it evokes ‘robustness’ and unaffectedness at the city scale on the one hand, and self-organisation of disaster-affected people and neighbourhoods on the other. This paper explains and illustrates the dual discourse through a case study on the reconstruction of informal and low-income settlements in the aftermath of the fire in Valparaíso, Chile, in 2014, focusing on the communication contents of two non-governmental organisations (NGOs). These NGOs deployed the discourse differently, yet both called for affected neighbourhoods to build a more robust city through self-organisation, and both suggested their work as the missing link between self-organisation and robustness. A danger in deploying the dual discourse is that it requires people who live in informal and low-income settlements to earn their right to the robust city through ‘better’ self-organisation based on fragmented visions.     

Characterisation of PM10, PM2.5 and Benzene Soluble Organic Fraction of Particulate Matter in an Urban Area of Kolkata, India

In this study, the relationship between inhalable particulate (PM₁₀), fine particulate (PM_2.5), coarse particles (PM_{2.5 – 10}) and meteorological parameters such as temperature, relative humidity, solar radiation, wind speed were statistically analyzed and modelled for urban area of Kolkata during winter months of 2003–2004. Ambient air quality was monitored with a sampling frequency of twenty-four hours at three monitoring sites located near traffic intersections and in an industrial area. The monitoring sites were located 3–5 m above ground near highly trafficked and congested areas. The 24 h average PM₁₀ and PM_2.5 samples were collected using Thermo-Andersen high volume samplers and exposed filter papers were extracted and analysed for benzene soluble organic fraction. The ratios between PM_2.5 and PM₁₀ were found to be in the range of 0.6 to 0.92 and the highest ratio was found in the most polluted urban site. Statistical analysis has shown a strong positive correlation between PM₁₀ and PM_2.5 and inverse correlation was observed between particulate matter (PM₁₀ and PM_2.5) and wind speed. Statistical analysis of air quality data shows that PM₁₀ and PM_2.5 are showing poor correlation with temperature, relative humidity and solar radiation. Regression equations for PM₁₀ and PM_2.5 and meteorological parameters were developed. The organic fraction of particulate matter soluble in benzene is an indication of poly aromatic hydrocarbon (PAH) concentration present in particulate matter. The relationship between the benzene soluble organic fraction (BSOF) of inhalable particulate (PM₁₀) and fine particulate (PM_2.5) were analysed for urban area of Kolkata. Significant positive correlation was observed between benzene soluble organic fraction of PM₁₀ (BSM10) and benzene soluble organic fraction of PM_2.5 (BSM2.5). Regression equations for BSM10 and BSM2.5 were developed.     

An Analysis of Secondary Pollutants in Buenos Aires City

Air pollutant concentrations from a monitoring campaign in Buenos Aires City, Argentina, are used to investigate the relationships between ambient levels of ozone (O₃), nitric oxide (NO) and nitrogen dioxide (NO₂) as a function of NO _x (=NO + NO₂). This campaign undertaken by the electricity sector was aimed at elucidating the apportionment of thermal power plants to air quality deterioration. Concentrations of carbon monoxide (CO) and sulphur dioxide (SO₂) were also registered. Photo stationary state (PSS) of the NO, NO₂, O₃ and peroxy radicals species has been analysed. The ‘oxidant’ level concept has been introduced, OX (=O₃ + NO₂), which varies with the level of NO _x . It is shown that this level is made up of NO _x -independent and NO _x -dependent contributions. The former is a regional contribution that equates the background O₃ level, whereas the latter is a local contribution that correlates with the level of primary pollution. Furthermore, the anticorrelation between NO₂ and O₃ levels, which is a characteristic of the atmospheric photo stationary cycle has been verified.The analysis of the concentration of the primary pollutants CO and NO strongly suggests that the vehicle traffic is the principal source of them. Levels of continuous measurements of SO₂ for Buenos Aires City are reported in this work as a complement of previously published results.     

Characterization and Identification of the Sources of Chromium, Zinc, Lead, Cadmium, Nickel, Manganese and Iron in Pm10 Particulates at the Two Sites of Kolkata, India

Monitoring of ambient PM₁₀ (particulate matter which passes through a size selective impactor inlet with a 50% efficiency cut-off at 10 μm aerodynamic diameter) has been done at residential (Kasba) and industrial (Cossipore) sites of an urban region of Kolkata during November 2003 to November 2004. These sites were selected depending on the dominant anthropogenic activities. Metal constituents of atmospheric PM₁₀ deposited on glass fibre filter paper were estimated using Inductively Coupled Plasma Atomic Emission Spectrometer (ICP-AES). Chromium (Cr), zinc (Zn), lead (Pb), cadmium (Cd), nickel (Ni), manganese (Mn) and iron (Fe) are the seven toxic trace metals quantified from the measured PM₁₀ concentrations. The 24 h average concentrations of Cr, Zn, Pb, Cd, Ni, Mn and Fe from ninety PM₁₀ particulate samples of Kolkata were found to be 6.9, 506.1, 79.1, 3.3, 7.4, 2.4 and 103.6 ng/m³, respectively. The 24 h average PM₁₀ concentration exceeded national ambient air quality standard (NAAQS) as specified by central pollution control board, India at both residential (Kasba) and industrial (Cossipore) areas with mean concentration of 140.1 and 196.6 μg/m³, respectively. A simultaneous meteorology study was performed to assess the influence of air masses by wind speed, wind direction, rainfall, relative humidity and temperature. The measured toxic trace metals generally showed inverse relationship with wind speed, relative humidity and temperature. Factor analysis, a receptor modeling technique has been used for identification of the possible sources contributing to the PM₁₀. Varimax rotated factor analysis identified four possible sources of measured trace metals comprising solid waste dumping, vehicular traffic with the influence of road dust, road dust and soil dust at residential site (Kasba), while vehicular traffic with the influence of soil dust, road dust, galvanizing and electroplating industry, and tanning industry at industrial site (Cossipore).