城市环境风险监控预警系统的构建与应用研究

文章在分析当前城市环境风险预警系统构建的不足的基础上,结合目前环境风险预警系统构建的基础支撑系统建设现状,介绍如何建立集成环境风险信息采集、实时监控预警、预测模拟、处理为一体的城市环境风险信息监控预警平台,实现城市环境风险信息统一管理与共享,提高环境监管部门及公众对环境风险的应急反应及处理速度,为城市环境安全保障提供决策支持。     

应用小型无人值守水站构建苏州市城区河道自动监测系统研究

苏州市城区河道自动监测系统实现了时城区河道环境整治水质变化的实时跟踪监测,系统采用小型、节能、低噪的智能子站、免试剂的监测方法和多重保障的安防措施,集监控评价发布为一体化,体现了绿色监测的理念,且与大型水站同样具有较强的野外适应能力和无人值守智能监测的特点.本文就系统的构架以及系统所具有的4个方面特点进行了阐述,并总结了在系统建设中的站点选址、对监测结果的有效利用、运行过程的质量控制及免试剂监测方法的适用性等几方面应用体会.     

基于增强回归树的城市PM2.5日均值变化分析:以常州为例

利用2014年12月至2015年11月常州市区6个国控监测站空气污染物浓度逐时数据,分析了PM_(2.5)浓度季节变化特征,采用增强回归树模拟分析了PM10、4种气态污染物和7个气象因子对ρ(PM_(2.5))日变化的贡献.结果表明,常州市区PM_(2.5)污染季节差异明显,冬季污染严重且持续时间长,夏季污染较轻.四季ρ(PM_(2.5))空间分布特征存在一定差异,但各季内不同监测站差异较小.增强回归树对ρ(PM_(2.5))日均值进行模拟和验证得到,训练数据的相关性为0.981,交叉验证的相关性为0.957.此外,模拟值与实测值的标准化平均偏差为1.80%,标准化平均误差为10.41%,可见模型拟合效果较好.PM10、气态污染物、气象因子和区域输送及扩散这4种影响类型对全年ρ(PM_(2.5))日均值差异的贡献率分别为23.4%、28%、36.2%和12.6%,表明在对ρ(PM_(2.5))日均值差异的影响上,气象因子二次形成一次源区域输送及扩散.在对ρ(PM_(2.5))日均值差异贡献率大于5%的因子中,ρ(PM_(2.5))日均值与PM10、相对湿度、CO和O3正相关,与温度、SO2和混合层高度负相关,与大气压和NO2关系较复杂.区域输送及扩散方面,东南风向、偏西风向和偏北风向等上风向周边城市的污染物输送对常州市区PM_(2.5)污染存在较大的负面影响.     

基于城市功能区划分的道路机动车大气污染物排放清单研究——以厦门市海沧区为例

道路机动车尾气排放是造成城市近地面空气污染的主要原因之一,建立基于城市功能区划分的道路机动车大气污染物排放清单对改善中观尺度的城市空气质量具有重要辅助作用.本文以厦门市海沧区为例,基于城市功能区划分方法,结合各功能区内监测道路的机动车通行量实测数据,建立道路机动车大气污染物排放清单,并分析各功能区道路机动车大气污染物排放特征.结果发现,海沧区道路机动车尾气排放物中CO的排放贡献率最高,工业区和居住区的道路机动车大气污染物排放量对海沧区的空气污染贡献率最大,海沧区夜间大气污染物的主要排放源来自于工业区道路机动车大气污染物排放;生态服务区及公共管理与公共服务区的道路机动车排放特征受相邻工业区机动车大气污染物排放的影响较为显著.研究表明:城市功能区分布欠合理是导致道路机动车大气污染物高排放量的重要原因之一;基于城市功能区划分构建道路机动车大气污染物排放清单的研究方法,不仅可为中观尺度下的城市大气污染排放情况提供有效的调查途径,而且能为城市功能格局的合理规划提供重要的理论依据.     

城市热岛效应下浅层土中混凝土的酸腐蚀试验研究

针对城市热岛效应引起城区浅层土地温场升高这一观测结果,采用室内快速模拟试验方法,对城区酸性土壤腐蚀混凝土材料的温度效应开展了试验研究.试验研究了在温度为5℃、20℃和40℃条件下,混凝土试样在酸浓度分别为0%、5%和10%的沙土介质中放置30 d、90 d后的抗压强度变化规律,并对混凝土试样在腐蚀过程中的腐蚀系数变化规...     

服务于城市旅游形象的景观规划--以南京市为例

分析了城市旅游形象与城市景观之间的关系,即城市旅游形象的塑造离不开城市景观的规划建设,城市景观的优化有助于提高城市旅游形象;提出服务于城市旅游形象的景观规划理念和原则。规划理念为体现城市旅游形象,显现城市三脉,提供城市旅游活动空间,创造城市旅游生态环境;规划原则以理念形象为核心,人地协调性、主题性与市场性相结合,特色性与风格统一性相结合。并对服务于城市旅游形象的景观规划结构要素和组成要素进行了研究,结构要素分为城市景观整体结构、特色城市景观带（区）和城市景观视觉识别系统;组成要素可分为硬质景观要素和软质景观要素。最后以南京市为例进行案例研究。     

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.     

动态规划法在污水处理厂优化设计中的应用

对具有代表性的系统优化模型进行分析比较,选用动态规划法对城市污水处理厂进行优化设计,得到了城市污水处理厂投资和运行的最优决策,为城市污水处理厂运行和设计提供了依据.     

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.