基于LandsatTM影像的武汉市热岛效应研究

采用定量遥感与GIS相结合的方法,利用武汉市2006年TM遥感影像,定量分析武汉市植被指数和热岛效应的关系和空间分布。在空间剖面上,研究了植被指数（NDVI）与地表辐射温度的关系并对植被指数（NDVI）与地表辐射温度进行了回归拟合。在此基础上,研究了武汉市热岛空间分布,解释了武汉市热岛等级空间分布的特点。研究结果表明：植被指数（NDVll与地表辐射温度存在着明显的负相关性;随着植被覆盖的变化,城市建设用地的地表辐射温度明显比其他土地类型敏感;城市中工业区和人口活动密集的商业区热岛强度高;水体和绿地对于分割城市热岛和缓解热岛效应有显著作用。该研究可为城市生态规划、用地合理布局等提供参考。     

A preliminary assessment of socio-ecological metabolism for three neighborhoods within a rust belt urban ecosystem

Rust belt cities of the northeastern United States are plagued by flat or declining economies and the accompanying social fallout from lack of employment. Advocates of green fuels, green infrastructure and green jobs have proposed these nature-based technologies as means to revitalize the economies of cities. Before making public and private investment a baseline analysis of the relative magnitude of existing energy production and energy respiration at the neighborhood scale is useful in order to understand what the potential for green infrastructure might be. Because the urban canopy and other green infrastructure can enhance urban socio-ecological metabolism, we measured the flows of natural energy produced (P) by the urban forest versus the industrial or fossil energy currently consumed or respired (R) in three economically and demographically distinct neighborhoods of a typical rust-belt city, Syracuse, NY. Our objectives were to (1) understand the potential for green energy to replace fossil fuels in general, (2) assess the degree to which different socio-demographic communities are receiving the ecosystem benefits of existing urban “green” infrastructure (i.e. forest primary production), and (3) identify where local (in-city) biotic energy resources could be enhanced or fossil fuel consumption altered to improve overall urban socio-ecological metabolism. We found that (1) the fossil energy consumed in all three neighborhoods was 200-700 times higher than the biotic “green” energy produced; (2) that to produce this much energy from willow biomass grown in the region would require at least between 0.3 and 0.7 ha of bio-energy production per person depending on affluence, density of living, transportation mix and home fuel mix; (3) that although the more affluent neighborhood used, per residence and per person, almost twice as much energy as that of the downtown more densely settled and poorer neighborhood, its R:P ratio was still the lowest due to the high primary productivity of its neighborhood tree canopy. As a first assessment our findings identify several opportunities for enhancement of the socio-ecological metabolism of these neighborhoods, and the city at large, through conversion of heating units in poorer neighborhoods away from expensive electricity, and toward tree planting, solar installations, and per capita energy use reductions.     

Sustainability of urban drainage management: a perspective on infrastructure resilience and thresholds

Urban wastewater infrastructures have been threatened by natural and socioeconomic disturbances. This study investigates infrastructure resilience against the risks of long-term changes rather than natural disasters. Urban expansion that leads to an increased urban runoff and massive population movements that cause fluctuations in domestic emissions are considered in this study. Pollution permits for water bodies are adopted as constraints on wastewater infrastructures. A land use-based accounting method, combined with a grid-based database, is developed to map domestic discharge and urban runoff to service areas of wastewater treatment plants. The results of a case study on downtown Sanya, the most famous seashore tourist attraction in China, show that the average resilient values of three sub-catchment areas in 2010 were -0.57, 0.10 and 0.27, respectively, a significant spatial variation. The infrastructure in the Sanya River sub-region is the least flexible, and is more likely to fail due to unstable inflows. The resiliencies will increase to 0.59, 1.01 and 0.54, respectively, in 2020, a considerable improvement in robustness. The study suggests that infrastructure resilience needs to be taken into further consideration for urban planning and the related realm of urban governance to foster more robust wastewater management under various risks.     

Climate change and urban land systems: bridging the gaps between urbanism and land science

ABSTRACT

Land science has generated critical knowledge about how humans modify Earth’s surface and has advanced our understanding of land as a coupled human–environment system. However, to date, most work has been in frontier environments with less attention – both conceptually and empirically – on how urban land systems affect the carbon cycle. Much of what is known about urban areas and the carbon cycle is limited to aggregate levels of activities within urban areas, usually by sector, with little focus on how the spatial configuration of urban land systems affects carbon-emitting activities. Given that urban areas produce about 70% of global energy-related CO₂ emissions, it is crucial to understand the relationship between urban environments, the activities they influence, and the resulting carbon emissions. This paper summarizes the current state of knowledge of how urban land systems affect carbon emissions and vulnerability, and identifies research gaps and opportunities for urban land science to contribute to climate change science, particularly through land architecture. We argue that more attention to urban land science conceptualization, measurement, and analysis would contribute to both fundamental knowledge about urban systems, as well as help identify policies and strategies for mitigation and adaptation to climate change at the urban scale.     

城镇化与绿地退化对城市热环境影响研究

城市的发展和城市化进程的加速,导致建设用地的迅速膨胀和生态景观绿地的急剧减少,最终改变了城市热环境。以广州南部快速发展区为例,基于Landsat6遥感影像数据定量分析城市化及绿地系统的变化情况及其城市地表热场和热岛效应空间分布情况,探讨城市热场及热岛效应受城市化和绿地退化（以NDVI为表征）影响的定量关系。研究表明,广州南部地区的热环境状况与其地形特征之间有较密切的联系,城市热环境的分布变化与城镇建设用地和NDVI的分布变化有一定的相关性,特别是与NDVI呈现线性负相关,即地表温度随着归一化植被指数的增大而降低。结果表明,城镇化与绿地退化是导致城市热岛分布变化的影响因素之一。最后从生态角度出发,提出通过构建城市点状绿岛和带状生态廊道来改善城市热环境的可能性。     

The effect of outdoor air pollutants and greenness on allergic rhinitis incidence rates: a cross-sectional study in Seoul,Korea

Air pollution poses a serious threat to human health in Asia. This study analyzes the association of air pollutants and greenness with incidence rates of allergic rhinitis in Seoul at the administrative district level to gain insight into district-level urban policies to improve public health. A spatial regression model is constructed to investigate the correlation between allergic rhinitis incidence rates and five air pollutants measured at 128 air pollution monitoring stations around Seoul: sulfur dioxide (SO₂), particulate matter less than 10 μm (PM₁₀), ozone (O₃), nitrogen dioxide (NO₂), and carbon monoxide (CO). The allergic rhinitis incidence data are derived from the National Health Insurance Service’s database that includes the number of allergic rhinitis-related clinic visits by the patients over 20 years of age and living in Seoul. A kriging geostatistical interpolation was used to estimate average air pollution level of 423 administrative districts. To assess pollen concentrations that can affect allergic rhinitis, the average normalized difference vegetation index (NDVI) is measured based on the urban greenness. The model, controlling for built environment and socio-economic attributes, identifies the possibility of a weak association between allergic rhinitis incidence rates and carbon monoxide levels. The NDVI value is negatively correlated with allergic rhinitis incidence rates, implying a complicated aspect in relation to the effect of urban greenness.     

Urban-rural nitrogen emission from household food consumption in China: spatial pattern and dynamics analysis

The nitrogen emission from household food consumption (NEHFC) has played a vital role in sustainability development. Recent changes in household dietary have significantly accelerated reactive nitrogen emissions in China. However, the spatial patterns and dynamics of these flows between urban and rural areas remain unclear. Based on material flow and spatial-temporal analysis, our study investigated the patterns of Chinese urban-rural NEHFC during 1993–2015. Increasingly apparent regional disparities were found in both the spatial patterns of urban-rural NEHFC during the study period. Notably, the spatial autocorrelation of urban NEHFC demonstrated a ‘U’ type, compared with a recent decreasing Moran’s I index of rural NEHFC. Moreover, the regional spatial-temporal variation of per capita urban NEHFC exhibited ‘South (High)-North (Low)-Middle (Fast)’ trend. By contrast, the hotspot of per capita rural NEHFC mainly concentrated in South-eastern China with a distinct regional changing of ‘Middle-east (Fast) & west (Slow).’ The Social-Economic and Regional-Development Index were far more critical than the Natural-Geographic Index to the spatial-temporal variation of per capita urban NEHFC, whereas the rural NEHFC was driven by the combined actions of all the three indexes. Our study highlighted the necessity of ‘Location-Suitable’ and ‘Urban-rural recycling’ nitrogen management strategies for reducing the risk of NEHFC in China.     

Exploring long-term land cover changes in an urban region of southern Europe

This paper addresses two important issues for large Mediterranean city regions: the differential impact of compact urban ‘growth’ and low-density ‘sprawl’ on land cover changes (LCCs), and their final effect on changing land cover relationships (LCRs). The urban expansion of Rome (Italy) during the last 50 years and the related LCCs were investigated as a paradigmatic example of compact versus dispersed urban development. LCCs were assessed over 5 years (1960, 1974, 1990, 2000, 2006) by analysing diachronically the distribution of 12 land cover categories derived from digital land cover maps covering the entire Nuts-3 prefecture of Rome (5353 km²). LCRs were studied using multi-way data analysis. LCCs were found to have relative differences during ‘growth’ (1960–1990) and ‘sprawl’ (1990–2006) phases. Conversion to urban land uses concentrated in the 1960s and 1970s at the urban fringe, while expanding progressively far from the city in the 1990s and 2000s. During the ‘growth’ phase, the land cover classes with the highest probability of being converted to urban uses were arable lands, annual crops, vineyards and pastures. During the ‘sprawl’ phase, olive groves, orchards and forest surfaces also decreased due to the development of low-density built-up areas and infrastructure. Planning suggestions aimed at mitigating the alteration of the rural landscape through sprawl conditions are discussed.     

Prioritization of applicable drivers for green supply chain management implementation toward sustainability in Thailand

ABSTRACT

It is essential that the green supply chain management (GSCM) implementation is effectively supported by several strategic drivers for successful implementation and sustainability, especially for the ‘green’ start-ups with a sustainability-driven organizational strategy. This study aims to determine and prioritize the applicable drivers for GSCM implementation of sustainable development strategies in the electronics industry in Thailand. The applicable drivers and their priorities are obtained by applying the fuzzy group decision-making approaches including fuzzy Delphi and fuzzy Analytic Hierarchy Process, based on Thai experts’ perspectives. In this study, three prominent organizational theories, resource-based view, relational view, and institutional theory, are needed to explain the drivers of sustainability and to develop a hierarchical model for prioritization of the drivers. Finally, based on the findings of this study, several recommendations are made that may help to improve the sustainable development in Thailand through more effective implementation of GSCM.     

Estimating the removal of atmospheric particulate pollution by the urban tree canopy in Beijing北大核心CSCD

Urban green space, particularly the tree canopy, plays an important role in potential mitigation against atmospheric particulate pollution and protecting human health. In this study, current and future air particulate matter [including total suspended particulate (TSP), particulate matter 10 (PM10), and particulate matter 2.5 (PM2.5)] removal by the urban tree canopy of Beijing was estimated. A modeling approach was used based on the distributed measurement evaluation and a modified version. The urban tree canopy of Beijing, including mostly Platycladus sp., Pinus sp., Quercus sp., Robinia pseudoacacia, and economic forests, currently removes about 8.33 million kg/a air particulates, in which TSP accounted for 4.51 million kg/a, PM10 accounted for 2.74 million kg/a, and PM2.5 accounted for 1.08 million kg/a. The study on the removal of air particulates by different aged tree canopies showed that in coniferous trees, the ability to capture air particulates changed in the order of mature and over-mature > near-mature forest > young forest; in broadleaf forest, the ability changed in the order of near-mature forest > mature and over-mature > young forest. For total particulate matter, the biggest contribution was coarse particulates (60.74%); the contribution rate of fine particulates was different owing to different tree species groups. The results suggested that the ability of different trees to capture particles and age of forests varied widely and that suitable trees should be chosen to enhance pollution mitigation for city greening. © 2018 Science Press. All rights reserved.     

Warm glow from green power: Evidence from Australian electricity consumers

Green electricity products are increasingly made available to consumers in many countries in order to address a number of environmental and social concerns. Most of the literature on this green electricity market focuses on consumers’ characteristics and product attributes that could affect participation. However, the contribution of this environmental consumerism to the overall environmental good does not depend on participation alone. The real impact relies on market participation for green consumers (the proportion of green consumers) combined with the level of green consumption intensity – the commitment levels, or proportion of consumption that is green. We design an online interface that closely mimics the real market decision environment for electricity consumers in Western Australia and use an error component model to analyze consumers’ choice of green electricity products and their commitment levels. We show that product attributes have limited impact on the choice of green products; however, there is still great potential for better participation by improving the design of green electricity programs. When green products are selected, most respondents select the minimum commitment possible, and this is insensitive to the premium being charged on green power, suggesting that we are largely observing a buy-in ‘warm glow’ for carbon mitigation.     

Benefits and ancillary costs of natural infrastructure: Evidence from the New Jersey coast

This paper empirically estimates the economic impacts of a large-scale public investment in natural infrastructure aimed at adapting to climate change and increasing coastal resilience. I utilize temporal and spatial variation in investment in dunes to provide a hedonic property value estimate of the economic benefits. I identify the net effect of treatment utilizing the doubly robust Oaxaca-Blinder estimator and show that coastal housing price increases attributable to constructed dunes are approximately 3.6%. A decomposition of the average impact suggests that the policy intervention generates ancillary costs related to impaired ocean views and privacy concerns that partially offset large protection benefits.     

Comparing land change from shale gas infrastructure development in neighboring Utica and Marcellus regions, 2006–2015

The emergent patterns of land change resulting from the development of shale oil and gas infrastructure is a result of many small decisions and interactions. This research focuses on the land change associated with the development of shale oil and gas infrastructure in the Marcellus and Utica shale formations in two geographically proximate and physically similar counties, Carroll County, OH, and Washington County, PA. Land-cover data used to measure feature-scale change were digitized from aerial photography and then used to update National Land Cover Dataset data used in the calculation of forest fragmentation for the entire study areas. The amount and pattern of land change was very similar between the two counties even though they are drawing oil and gas from different shale formations. Less than 1% of the total forest for each county was lost but the fragmentation impacts are amplified by the pattern of infrastructure on the landscape.     

Landsenses pattern design to mitigate gale conditions in the coastal city – a case study of Pingtan,China

ABSTRACT

Due to the special geographic locations and multiple typhoons a year, the frequent strong winds bring great discomfort and danger to the daily lives of the urban residents in southeast coast of China. The strategic design of landsenses pattern on different scales can help reduce gale days in urban areas while delivering diverse additional benefits such as pollution control and biodiversity habitat protection. Although the greatest gale days are observed in cold and damp winters, there is comparatively little information available for land managers to determine an appropriate strategy for landsenses pattern design under these climatic conditions. We present a framework for prioritization and selection of landsenses pattern for gale day reductions. The framework is supported by examining the relationships between urban landsenses pattern evolution and gale day mitigation in the past, with which we used to develop implementation guidelines that maximize reductions of urban surface gale days. We focus particularly on quantifying the benefits of four types of landsenses: land-use patterns, urban road network, architectural patterns, and vertical greening systems (green walls and facades) and demonstrate how to apply the framework with a case study from Pingtan Island, China.     

A building-based data capture and data mining technique for air quality assessment

Recently, a building-based air quality model system which can predict air quality in front of individual buildings along both sides of a road has been developed. Using the Macau Peninsula as a case study, this paper shows the advantages of building-based model system in data capture and data mining. Compared with the traditional grid-based model systems with input/output spatial resolutions of 1–2 km, the building-based approach can extract the street configuration and traffic data building by building and therefore, can capture the complex spatial variation of traffic emission, urban geometry, and air pollution. The non-homogeneous distribution of air pollution in the Macau Peninsula was modeled in a high-spatial resolution of 319 receptors·km^-2. The spatial relationship among air quality, traffic flow, and urban geometry in the historic urban area is investigated. The study shows that the building-based approach may open an innovative methodology in data mining of urban spatial data for environmental assessment. The results are particularly useful to urban planners when they need to consider the influences of urban form on street environment.     

The greener,the more cost efficient? An empirical study of international tourist hotels in Taiwan

Going ‘green’ is more than a mere fad in the hotel industry, and environment-friendly green hotels are becoming popular. The purpose of this study was to conduct an investigation into the link between ‘green’ and cost efficiency in the hotel industry. Empirical evidence supporting this investigation was gathered from the Taiwan hotel industry. Data were gathered from 68 international tourist hotels in Taiwan. Moreover, our finding differs from most of the earlier studies and indicates that ‘green’ is negatively and significantly associated with the cost efficiency of a hotel. In other words, ‘green’ renders a hotel ineffective. The implications of the findings have been discussed, and the limitations of the study as well as future research directions have been addressed.     

Mitigation and remediation technologies for organic contaminated soils

Organic contaminated soils have become a widespread environmental problem, which may lead to a great threat to the quality of agricultural production and to human health. Physical, chemical, and biological technologies have been employed for the mitigation and remediation of organic contaminated soils. This paper reviews the progress of mitigation and remediation technologies for organic contaminated soils and suggests two different strategies for the mitigation of ’slightly-contaminated’ agricultural soils and the remediation of ‘heavily-contaminated’ soils/sites, respectively. On this basis, directions for future research in this field are suggested.     

Demonstrating a correlation between infrastructure and national development

This paper demonstrates a correlation between the extensiveness of infrastructure and national development. This was achieved by considering kilometres of paved roads, kilometres of rail, kilometres of paved runways, quality of shipping ports and quality of urban infrastructure. Data were collected from a variety of sources including the World Bank and the United Nations databases. Measures of the quantity or extensiveness of the infrastructures were normalized based on the populations of the various countries, transforming them into per capita measures, which were then logarithmically transformed to produce indices of the extensiveness of the infrastructures. These indices were then plotted against the national development indicator, the human development index (HDI). Of the infrastructures considered, paved roads per capita index showed the strongest correlation with HDI, while quality of port infrastructure index showed the weakest correlation. When the indices for the different infrastructures were combined into a single index the correlation with HDI appeared to be strongest, highlighting the synergistic effect of different infrastructures when working in tandem. Based on this, the findings of this study support the position of holistically managing a country's infrastructure assets.     

基于城市可持续发展的生态绿地建设——以仪征市为例

寻求合乎社会目的与自然规律的城市发展之路，目前必须实施生态建设，加强城市生态系统的负反馈调节。城市生态绿地建设推进城市生态系统良性循环改善城市自身调节功能，使人与自然关系和谐统一，为城市可持续发展作必要的支撑，是城市基础设施建设的重要组成部分。本文以仪征市为例，着重探讨发展中工业城市生态绿地建设的一些主要问题。     

The widening urbanization gap between the Three Northeast Provinces and the Yangtze River Delta under China’s economic reform from 1984 to 2014

Urbanization has created a significant gap between the Three Northeast Provinces (TNP) and the Yangtze River Delta (YRD) since China’s reform and opening-up. In this study, we explain this problem by employing an urban expansion index, spatial hierarchical clustering, the Zipf-PLE model, fractal theory, and time-series analysis. Statistical data on the built-up area, population, and gross domestic product were downloaded from the National Bureau of Statistics of China. The results revealed the following. (1) During the stage of the planned economy, as a result of the significant government investment in development, the urban built-up areas in the TNP and the YRD reached 1867 and 757 km², respectively, in 1984. (2) During the stage of the socialist market economy, the urban built-up area of the YRD experienced rapid growth over the 30 years from 1984 to 2014 with a rate of increase of 668.8%, which was higher than that of the TNP (139.9%). In 2014, the urban built-up areas of the TNP and the YRD were 4479 and 5820 km², respectively. (3) Locational advantages had significant effects on urban development after China’s economic reform. The coastal cities of the YRD had higher rates of increase of the built-up areas. By contrast, the border cities of the TNP had lower rates of increase. Finally, this paper finds that the socialist market economy exhibited more efficiency in promoting urban expansion and economic development. The results are significant for generating balanced and sustainable regional development strategies in the future.