城市绿化对空气质量的影响研究——以中国27个省会城市为例

城市间绿化程度与空气污染比较及相关差异分析是提出城市环境管理措施的重要前提。选择全国27个主要省会城市,基于网络街景照片测定绿色指数差异,对比空气主要质量指标[空气质量指数(AQI)、细颗粒物(PM_2.5)、可吸入颗粒物(PM₁₀)、二氧化硫(SO_2)、二氧化氮(NO_2)、臭氧(O_3)、一氧化碳(CO)]的基础上,探讨了二者相关关系,旨在为提升环境质量、改善绿化水平提供基础数据。结果表明:(1)济南市和重庆市的绿色指数最高,分别达到是11.70%和11.55%,呼和浩特市和拉萨市城市绿色指数最低,在4%～5%。(2)海口市的空气质量最好,AQI为39.66,郑州市和济南市的空气质量最差,AQI年均值分别为117.34和113.93。但是不同空气指标城市排序间差异较大,比如PM_2.5、PM₁₀、NO_2以及SO_2年平均最低的城市都是海口,拉萨市年平均CO含量最低(0.55 mg·m^-3),哈尔滨市年平均O_3含量最低(77.08μg·m^-3)。(3)相关关系分析发现,增加城市的绿色程度,伴随着空气质量的改善,如沈阳、南宁、合肥等城市;但对于某些城市,则存在明显的正相关,如兰州、昆明、贵阳等城市,这意味着城市越绿伴随着空气污染的加重。尽管大量研究已经表明,城市绿色植被能够起到滞尘降低污染的作用,目前我国主要城市的空气污染程度,仅依靠城市绿化改善已经远远不够,甚至某一些城市绿色植被存在阻碍空气流通的作用。上述研究结果为科学规划城市绿化、提升空气质量提供基础数据支撑。     

Chelate-assisted phytoextraction of lead using Fagopyrum esculentum: laboratory vs. field experiments

Abstract

The development of more sustainable remediation techniques has been receiving greater attention, as an alternative to soil excavation plan in urban gardens. An in situ phytoextraction experiment with buckwheat (Fagopyrum esculentum) was performed with a 5?mmol kg^?1 citric acid (CA) application. Joint experiments under laboratory conditions were conducted using various cultivars of F. esculentum in two soils with a Pb contamination of either geogenic or anthropogenic origin and various chelate concentrations. Results show that a minimum dose of 50?mmol kg^?1 of CA is required to lower soil pH and raise the concentration of mobile Pb–CaCl₂ for both soils. Consequently, Pb shoot uptake is increased from 6.3 to 8.9 times depending on soil type. Phytoextraction efficiency is found to be 1.3 to 2.0 times higher in the anthropogenic contaminated soil than in the soil with geogenic Pb. A scale effect has also been identified since Pb root accumulation under laboratory conditions was 2.4 times higher than in the field experiment. Despite an increase in the Pb extraction rate with CA, buckwheat appears to lack the efficiency needed to remove Pb in moderately contaminated soils. The calculated remediation period would last 166?years to remove the mobile Pb fraction.     

Valuing urban green spaces in mitigating climate change: A city‐wide estimate of aboveground carbon stored in urban green spaces of China's Capital

Urban green spaces provide manifold environmental benefits and promote human well‐being. Unfortunately, these services are largely undervalued, and the potential of urban areas themselves to mitigate future climate change has received little attention. In this study, we quantified and mapped city‐wide aboveground carbon storage of urban green spaces in China's capital, Beijing, using field survey data of diameter at breast height (DBH) and tree height from 326 field survey plots, combined with satellite‐derived vegetation index at a fine resolution of 6 m. We estimated the total amount of carbon stored in the urban green spaces to be 956.3 Gg (1 Gg = 10⁹ g) in 2014. There existed great spatial heterogeneity in vegetation carbon density varying from 0 to 68.1 Mg C ha^‐1, with an average density of 7.8 Mg C ha^?1. As expected, carbon density tended to decrease with urban development intensity (UDI). Likely being affected by vegetation cover proportion and configuration of green space patches, large differences were presented between the 95th and 5th quantile carbon density for each UDI bin, showing great potential for carbon sequestration. However, the interquartile range of carbon density narrowed drastically when UDI reached 60%, signifying a threshold for greatly reduced carbon sequestration potentials for higher UDI. These findings suggested that urban green spaces have great potential to make contribution to mitigating against future climate change if we plan and design urban green spaces following the trajectory of high carbon density, but we should be aware that such potential will be very limited when the urban development reaches certain intensity threshold.     

Using spatially explicit commodity flow and truck activity data to map urban material flows

To analyze and promote resource efficiency in urban areas, it is important to characterize urban metabolism and particularly, material flows. Material flow analysis (MFA) offers a means to capture the dynamism of cities and their activities. Urban‐scale MFAs have been conducted in many cities, usually employing variants of the Eurostat methodology. However, current methodologies generally reduce the study area into a “black box,” masking details of the complex processes within the city's metabolism. Therefore, besides the aggregated stocks and flows of materials, the movement of materials—often embedded in goods or commodities—should also be highlighted. Understanding the movement and dispersion of goods and commodities can allow for more detailed analysis of material flows. We highlight the potential benefits of using high‐resolution urban commodity flows in the context of understanding material resource use and opportunities for conservation. Through the use of geographic information systems and visualizations, we analyze two spatially explicit datasets: (1) commodity flow data in the United States, and (2) Global Positioning System‐based commercial vehicle (truck) driver activity data in Singapore. In the age of “big data,” we bring advancements in freight data collection to the field of urban metabolism, uncovering the secondary sourcing of materials that would otherwise have been masked in typical MFA studies. This brings us closer to a consumption‐based, finer‐resolution approach to MFA, which more effectively captures human activities and its impact on urban environments.     

Towards Productive Cities: Environmental Assessment of the Food‐Energy‐Water Nexus of the Urban Roof Mosaic

Cities are rapidly growing and need to look for ways to optimize resource consumption. Metropolises are especially vulnerable in three main systems, often referred to as the FEW (i.e., food, energy, and water) nexus. In this context, urban rooftops are underutilized areas that might be used for the production of these resources. We developed the Roof Mosaic approach, which combines life cycle assessment with two rooftop guidelines, to analyze the technical feasibility and environmental implications of producing food and energy, and harvesting rainwater on rooftops through different combinations at different scales. To illustrate, we apply the Roof Mosaic approach to a densely populated neighborhood in a Mediterranean city. The building‐scale results show that integrating rainwater harvesting and food production would avoid relatively insignificant emissions (13.9–18.6 kg CO₂ eq/inhabitant/year) in the use stage, but their construction would have low environmental impacts. In contrast, the application of energy systems (photovoltaic or solar thermal systems) combined with rainwater harvesting could potentially avoid higher CO₂ eq emissions (177–196 kg CO₂ eq/inhabitant/year) but generate higher environmental burdens in the construction phase. When applied at the neighborhood scale, the approach can be optimized to meet between 7% and 50% of FEW demands and avoid up to 157 tons CO₂ eq/year. This approach is a useful guide to optimize the FEW nexus providing a range of options for the exploitation of rooftops at the local scale, which can aid cities in becoming self‐sufficient, optimizing resources, and reducing CO₂ eq emissions.     

多源空间数据整合视角下的城市开发强度研究

城市开发强度能直观表征人类活动强度,对指导城市规划与管理、促进城市可持续发展具有重要价值。采用社会-经济-生态系统耦合视角构建城市开发强度的多维测度体系,整合多源空间数据,测度了杭州市主城及3个副城的开发强度并揭示了其空间分布特征。结果表明,杭州城市开发强度由主城向副城呈波动降低,高强度开发过度集中于主城,主城的功能疏散有待加强;各副城开发强度不一,江南城与主城呈现跨江融合,临平城、下沙城空间上较为独立;各开发维度中,建筑强度、功能强度及效益强度热点区分布基本一致,环境响应高强度区则集聚于主副城交界处,表现出空间异质性。多维测度体系可较好表征城市开发强度,对城市规划及精细化管理具有一定的应用价值。     

基于光纤测温技术的城市地表温度精细化分析

城市景观空间构型与热岛效应关联性较强,研究高时空分辨率的城市不同下垫面地表温度变化,可以更加精细地掌握城市热环境的时空特征。光纤温度传感系统具有实时在线、测温精度高和不受电磁干扰等优点,具备实时、在线、连续开展城市地表温度在线监测的能力。在北京市通州某园区内,选择有太阳辐射的4个时段,对多种类型下垫面的地表温度进行了时间间隔为1 min、空间间隔为1 m的连续4 h、总长度为100 m的实时在线监测。通过对监测时间段内不同类型下垫面地表温度的变化分析,发现这种分布式光纤测温系统能够有效辨识小尺度下地表温度的时间变化性和空间变化性,能有效区分透水和不透水地面,并监测和评估沥青马路地表温度的升温速率以及遮荫效果对地表温度的降温作用。同时,这种监测模式获取的数据能够对地表温度空间序列开展自相关分析,进一步验证了地表温度空间序列在较小尺度上仍然具有自相关性,且距离越近,相关性越大。研究同时表明,光纤测温技术能直接地获取城市热环境的现场真实数据,可以有效应用于小尺度城市热环境的观测与研究。     

南昌市城镇空间扩展与景观生态风险的耦合关系

为探究城镇用地空间扩展对景观生态风险的影响,以南昌市为例,运用遥感、GIS及数理统计的方法,借助城镇扩展强度指数研究了南昌市2000—2017年城镇空间扩展的时空变化特征,构建了景观生态风险指数,以3 km×3 km的单元网格进行系统采样,探究城镇扩展下南昌市景观格局的动态变化和景观生态风险,最后基于地理加权回归(GWR)模型,定量分析2000—2017年南昌市城镇空间扩展与景观生态风险之间的耦合关系。结果表明:(1)2000—2017年,南昌市城镇用地增加了247.56 km~2,年均扩展速率达17.75 km~2,其中2000—2005年扩展最快,呈现出剧烈扩展的态势,扩展强度达到0.55。城镇扩展主要沿正北和西北方向扩展,分布在青山湖区、南昌县、新建区等,总体上呈快速扩展趋势;(2)南昌市景观格局以耕地为主,建设用地快速扩张,耕地、林地、草地面积持续减少,土地利用的景观格局指数反映此期间人类活动的干扰程度加剧,景观斑块数量增加,整体破碎度提高。借助地统计分析方法,计算得到南昌市景观生态风险由2000年的0.1354上升至2017年的0.1420,景观生态风险呈逐渐升高的趋势;(3)2000—2017年,城镇用地面积与景观生态风险、城镇空间扩展强度指数和景观生态险变化值之间,都呈现负相关影响,后者相关性在减弱。回归系数的空间分布上,由中部向外逐渐升高,低值位于城镇扩展较快的南昌市区,城镇的快速扩展使城镇用面积大幅增加,景观破碎度、损失度降低,景观生态风险随之降低;高值出现在进贤县、安义县等经济发展缓慢的地区,城镇用地扩展幅度小,扩展边界斑块破碎度大,分离度上升,景观生态风险增加。研究结果为促进城市建设与生态环境保护的相互协调,正确评价人类活动对城市生态系统的影响,以及南昌市的可持续发展和科学管理提供借鉴。     

城市湿地公园使用者评价的影响因素及其行为偏好——以宜昌运河公园为例

城市湿地公园是城市水环境保护和市民活动的共同载体。如何达到保护城市水环境和满足使用者社会需求的平衡是本研究的关键问题。以景观绩效评价为基础,对宜昌运河公园的社会绩效进行了详细量化,并在调查结果上分析研究了影响城市湿地公园使用者评价的原因,以及在城市湿地公园内使用者的行为偏好和季节变化下使用者满意度和行为模式的变化情况,并提出了设计建议。结果表明,城市湿地公园的水环境治理目标与城市居民的公园服务需求是统一的。但是在公园生态和社会效益之间还是存在着冲突关系,如湿地面积和活动空间面积的权衡,消减河流污染物和维持公园水景质量的权衡以及湿地生境冬季景观效果不佳降低使用者满意度的情况。