宝鸡市区人居环境状况动态变化研究

在探讨城市人居环境基本概念的基础上,构建了城市人居环境评价指标体系,并对宝鸡市区2004～2008年的人居环境进行了系统的分析与评价。分析结果表明,2004年以来宝鸡市区的人居环境有了很大的改善,尤其是居住条件改善速度较快,但基础设施与公共服务设施、生态环境质量改善速度缓慢。针对这些问题,提出优化宝鸡市区人居环境的具体...     

Weak indirect effects inherent to nitrogen biogeochemical cycling within anthropogenic ecosystems: A network environ analysis

Indirect effects are assumed to be the major causes of the complexity and stability of ecological networks. The complexity of urban-rural complexes (URCs) could also be attributed to the indirect effects associated with human activities. No studies, however, have quantified the strength of indirect effects in relation to urban biogeochemistry. A network environ analysis (NEA) was used for this study to investigate and compare indirect effects in relation to the nitrogen (N) cycling networks of 22 natural ecosystems and five URCs. Results show that indirect effects were proven to be weak for URC N cycling networks (accounting for only ∼2% of the overall effects measured in natural ecosystems). The weak indirect effects found provide a counterexample for the hypothesis that indirect effects are in fact the dominant components of biogeochemical networks. It also implies that human activity in itself does not always raise the complexity of ecological processes as previously suggested. Weak indirect effects also lead to perturbation fragility for URC N cycles (where the decay rate is greater in comparison to natural ecosystems by a factor of 13). In order to improve the robustness and efficiency of URC biogeochemical cycling, a knockout analysis was carried out. By comparing results after removing single interactions between natural ecosystems and URCs it was found that the loss of indirect effects require cooperative strategies to optimize N cycling networks within URCs.     

城市火灾中飞火蔓延距离计算方法研究

飞火是城市火灾特别是城市震后火灾的重要蔓延方式之一,它可以使火灾在相距较远的离散可燃物之间进行跳跃式蔓延,从而增加了扑救难度,威胁扑救人员的安全。因此,对飞火蔓延现象的认识和飞火蔓延距离的计算是降低飞火危险性的前提。基于Baum-McCaffrey火焰羽流模型,重点研究在城市火灾羽流中球形飞火颗粒的上升行为和环境风影响...     

Spatiotemporal variations of ambient air pollutants and meteorological influences over typical urban agglomerations in China during the COVID-19 lockdown

To investigate the air quality change during the COVID-19 pandemic, we analyzed spatiotemporal variations of six criteria pollutants in nine typical urban agglomerations in China using ground-based data and examined meteorological influences through correlation analysis and backward trajectory analysis under different responses. Concentrations of PM_2.5, PM₁₀, NO₂, SO₂ and CO in urban agglomerations respectively decreased by 18%–45% (30%–62%), 17%–53% (22%–39%), 47%-64% (14%–41%), 9%–34% (0%–53%) and 16%-52% (23%–56%) during Lockdown (Post-lockdown) period relative to Pre-lockdown period. PM_2.5 pollution events occurred during Lockdown in Beijing-Tianjin-Hebe (BTH) and Middle and South Liaoning (MSL), and daily O₃ concentration rose to grade Ⅱ standard in Post-lockdown period. Distinct from the nationwide slump of NO₂ during Lockdown period, a rebound (～40%) in Post-lockdown period was observed in Cheng-Yu (CY), Yangtze River Middle-Reach (YRMR), Yangtze River Delta (YRD) and Pearl River Delta (PRD). With slightly higher wind speed compared with 2019, the reduction of PM_2.5 (51%–62%) in Post-lockdown period is more than 2019 (15%–46%) in HC (Harbin-Changchun), MSL, BTH, CP (Central Plain) and SP (Shandong-Peninsula), suggesting lockdown measures are effective to PM_2.5 alleviation. Although O₃ concentrations generally increased during the lockdown, its increment rate declined compared with 2019 under similar sunlight duration and temperature. Additionally, unlike HC, MSL and BTH, which suffered from additional (> 30%) air masses from surrounding areas after the lockdown, the polluted air masses reaching YRD and PRD mostly originated from the long-distance transport, highlighting the importance of joint regional governance.     

Influence of urban morphological parameters on the distribution and diffusion of air pollutants: A case study in China

Air pollution has a serious fallout on human health, and the influences of the different urban morphological characteristics on air pollutants cannot be ignored. In this study, the relationship between urban morphology and air quality (wind speed, CO, and PM_2.5) in residential neighborhoods at the meso-microscale was investigated. The changes in the microclimate and pollutant diffusion distribution in the neighborhood under diverse weather conditions were simulated by Computational Fluid Dynamics (CFD). This study identified five key urban morphological parameters (Building Density, Average Building Height, Standard Deviation of Building Height, Mean Building Volume, and Degree of Enclosure) which significantly impacted the diffusion and distribution of pollutants in the neighborhood. The findings of this study suggested that three specific strategies (e.g. volume of a single building should be reduced, DE should be increased) and one comprehensive strategy (the width and height of the single building should be reduced while the number of single buildings should be increased) could be illustrated as an optimized approach of urban planning to relief the air pollution. The result of the combined effects could provide a reference for mitigating air pollution in sustainable urban environments.     

Estimation of atmospheric trace metal emissions in Vilnius City, Lithuania, using vertical concentration gradient and road tunnel measurement data

A new approach for the estimation of trace metal emissions in Vilnius city was implemented, using vertical concentration profiles in the urban boundary layer and road tunnel measurement data. Heavy metal concentrations were examined in fine and coarse particle fractions using a virtual impactor (cut-off size diameter 2.5 μm). Negative vertical concentration gradients were obtained for all metals (Ba, Pb, V, Sb, Zn) and both fractions. It was estimated that the vertical concentration gradient was formed due to emissions from an area of about 12 km². Road tunnel measurements indicated that trace metal concentrations on fine particles were lower than those on coarse particles, which suggested that re-emitted road dust was highly enriched in trace metal due to historic emissions within the tunnel. Emission rates of different pollutants in the road tunnel were calculated using pollutant concentration differences at the tunnel entrance and exit and traffic flow data. Heavy metal emission rates from the area of Vilnius city were estimated using the vertical gradient of heavy metal concentrations and the coefficient of turbulent mixing, as derived from meteorological measurement data. The emission values calculated by the two different methods coincided reasonably well, which indicated that the main source of airborne trace metals in Vilnius city is traffic. The potential of the vertical concentration gradient method for the direct estimation of urban heavy metal emissions was demonstrated.     

A simple semi-empirical model for predicting missing carbon monoxide concentrations

Carbon monoxide monitoring using continuous samplers is carried out in most major urban centres in the world and generally forms the basis for air quality assessments. Such assessments become less reliable as the proportion of data missing due to equipment failure and periods of calibration increases. This paper presents a semi-empirical model for the prediction of atmospheric carbon monoxide concentrations near roads for the purpose of interpolating missing data without the need for any traffic or emissions information. The model produces reliable predictions while remaining computationally simple by being site-specifically optimized. The model was developed for, and evaluated at, both a suburban site and an inner city site in Hamilton, New Zealand. Model performance statistics were found to be significantly better than other simple methods of interpolation with little additional computational complexity.     

长三角城市群旅游生态效率时空演化特征及其影响因素研究

长三角一体化是我国当前重要的国家战略之一,旅游业发展在助推长三角产业高质量一体化发展中扮演着重要角色。综合运用SBM-undesirable模型、核密度估计、空间分析等方法探索长三角城市群26个核心城市2007—2017年旅游生态效率时空演化特征,并运用面板Tobit回归模型探讨其影响因素。结果表明:(1)长三角城市群内旅游生态效率存在着显著不均衡性,研究期内旅游生态高效率城市有所减少,较高效率城市数量增加,低旅游生态效率城市增多且呈现向城市群西部敛缩的态势。(2)长三角城市群内旅游生态效率两级分化程度和地区之间的非均衡性在逐步减小。(3)长三角城市群旅游生态效率东部大于西部,北部大于南部,东西方向上非均衡性比南北方向更加显著。(4)长三角城市群旅游生态效率表现为以空间负相关为主的分布特征,空间异质性大于空间集聚性。(5)旅游经济规模、旅游产业结构、科技创新水平、城镇化发展、经济发展水平、建成区绿化覆盖率和对外开放水平对城市群整体和不同省市旅游生态效率影响的空间异质性较强。     

珠三角城市群人居环境高质量发展时空演化特征及影响因素

综合运用熵权法、协调度研究了2010—2019年珠三角城市群人居环境高质量发展时空演化特征,并采用障碍度分析了该城市群影响人居环境高质量发展的障碍因子。结果表明:①珠三角城市群人居环境高质量水平呈上升的态势,空间分布呈“屋脊”式格局,区域差异明显。②在人居环境高质量五大准则层中,除生态环境外,其他四大准则层均表现为波动上升态势,协调度呈现高质量低协调和低质量高协调两种差异。③公共基础服务、社会经济和居住环境对珠三角城市群人居环境高质量发展障碍度较大。     

城市铁路噪声环境影响及防治对策

以即将建设的某工程为例,分析了城市铁路噪声对环境的影响,并提出了相应的防治对策。