RESUMEN
Outdoor thermal comfort has become an important factor affecting human mental and physical health due to rapid urbanization. This study aimed to investigate the influence of brightness and prominent colors on thermal perception in hot summer and cold winter regions. Meteorological measurements were conducted accompanied by subjective thermal and visual questionnaires (n = 2020) during summer and winter. The physiological equivalent temperature (PET) was applied as thermal indices to evaluate the influence of visual conditions on thermal perception. The results showed that (1) the neutral PET is 20.2 °C with a range of 14.8 ~ 25.7 °C in Chongqing and neutral illumination range is 0 ~ 8663 lx. (2) Thermal sensitivity is most great in neutral brightness than bright and too bright groups. The influence of outdoor prominent colors in winter supports hue-heat hypothesis. However, in summer, result only supports the hypothesis under low thermal stress. Both cool and warm colors can reduce the thermal sensitivity of visitors compared to neutral colors (gray and white). (3) The interactions between colors and brightness are more obvious under low thermal stress levels. (4) Thermal perceptions of females are more greatly affected by brightness and prominent colors compared with males. These results could help landscape designers better understand the correlation between the thermal and visual environments and provide a reference for comprehensive designs of urban open spaces.
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Color , Sensación Térmica , Humanos , China , Femenino , Masculino , Adulto , Adulto Joven , Estaciones del Año , TemperaturaRESUMEN
In the context of China's implementation of the rural revitalization strategy and establishment of a mechanism to realize the value of ecological products, rural tourism as an eco-friendly industry promotes regional social and economic development with high-quality natural and ecological conditions in rural areas and is one of the key patterns to realize regional green development. Existing studies in the field focus on the spatial relationship between rural tourism and traditional factors such as economy, population, and transportation and ignore to some extent the relationship between ecosystem services and rural tourism. However, from the perspective of distribution, rural tourism is popular mainly in areas with high ecological quality, so it can be inferred that there is a relationship between ecosystem services and rural tourism. Therefore, this paper targets the key problem-the spatial relationship between ecosystem regulation services and rural tourism, taking rural tourist spots in six districts and counties in the Wuling Mountains in southeastern Chongqing as the subjects, and using the geo-econometric analysis method and geographic detector model to analyze the spatial-driving and development-support roles of ecosystem services on rural tourism. The results show that: (1) the nearest neighbor index of the distribution of rural tourist spots in the regions of study is 0.28, showing a significant clustering trend as a whole; (2) there are obviously high-value areas among the six types of ecosystem regulation services, which are mainly distributed in forest ecosystems; (3) the driving effects of dual factors are more significant, and the combined driving effects of climate regulation and anion supply services are the most significant, with the q value of these driving effects being 0.1962; (4) from the perspective of the supply-demand relationship of industrial development, ecosystem services play an important role in supporting the development of rural tourism. Based on these results, it is proposed in this paper that, in the next step, a comprehensive analysis of the impact of ecosystem regulation services should be conducted during the special planning of rural tourism and the rational layout of industries should be guided on the premise of compliance with space-use control, as well as economical and intensive land use, to support the scientific formulation of regional rural tourism development strategies with new ideas based on basic analysis and better realize the value of ecological products and boost rural revitalization.
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Conducción de Automóvil , Ecosistema , Humanos , Turismo , Bosques , Clima , China , Conservación de los Recursos NaturalesRESUMEN
China's urbanization has exceeded 64% and a large number of small and medium-sized cities are the key development areas in the new stage. In urban planning, it is very important to reveal the influence of environmental comfort on urban vitality to improve the life quality of residents in these towns. Thus, the study investigated the impact of environmental comfort on urban vitality using ordinary least squares regression in Wuxi County. Environmental comfort was assessed through a comprehensive analysis of a built-up area and urban vitality was represented by vitality intensity. In addition, the influence pathways were identified and model validation was verified. The conclusions are as follows: (1) Environmental comfort and urban vitality are distributed spatially similarly, and both gradually decline from the center to the periphery. It is high in the east and low in the west, high in the south and low in the north. (2) Population density, POI mixing degree, building density, and road network density have significant positive effects on urban vitality. Population density has the greatest impact on urban vitality. Building height, building age, and river buffer have significant negative effects on urban vitality. (3) The impact of comprehensive environmental comfort on urban vitality is positive, and in terms of time, the order of impact is afternoon > morning > evening. Finally, a method for assessing the impact of environmental comfort on urban vitality was constructed, and the promoting effect of environmental comfort improvements on the vitality was verified. These findings will fill the gap between urban physical space and social needs in planning practices and provide reference to improve vitality for urban planning in small and medium-sized cities.
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Urbanización , Humanos , Ciudades , Población Urbana , China , Densidad de PoblaciónRESUMEN
As most cities are located around or near waterbodies, it is essential to assess the thermal effect of these waterbodies. This research focuses on 34 Chinese megacities as case studies to examine the spatial relationship between city-water layout and the thermal effect of waterbodies. Landsat-8 remote-sensing images acquired around noontime in summer were used to retrieve land surface temperatures (LST) and classify land cover. The results show that there are three types of city-water layout. For most cities, waterbodies have a cooling effect, and their mean cooling distance (ΔLmax) ranges from 431 m to 1350 m, with the maximum temperature difference (ΔTmax) ranging from - 2.21 °C to 7.83 °C. The cooling effect of waterbodies is also influenced by their spatial distribution, size, location, and background climate regions. The larger the percentage or area of waterbodies in a city, the shorter ΔLmax and the bigger ΔTmax. Waterbodies have the longest ΔLmax and the smallest ΔTmax when they are dispersed within the city, whereas they have the shortest ΔLmax and the largest ΔTmax when they are flowing through the city. The results suggest that the thermal effects of waterbodies should be seriously considered by urban planners to improve the urban microclimate.
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Calor , Agua , Ciudades , Clima , Temperatura , China , Monitoreo del Ambiente/métodosRESUMEN
Although the degraded urban thermal environment has been widely concerned, whether monocentric or polycentric urban development can alleviate urban heat island (UHI) is still debatable, particularly considering different types of cities in plain and mountainous settings. To fill the gap, this study chose the cases of Chengdu on alluvial flatlands and Chongqing on mountainous landforms in China for comparison. Adapting to natural landforms, Chengdu has a dominated monocentric urban form, whereas Chongqing has a naturally polycentric urban form. This study found that areas with high UHI intensity were located in the urban center and peripheral suburbs in Chengdu, while those were located in the peripheral industrial zones in Chongqing. The spatial error model and random forest regression results showed that natural elements such as vegetation and water had similar influences and contributions to UHI. However, distinct landforms and urban forms played critical roles in UHI differences among the two cities. Impervious surface and building density were the dominant variables to UHI of Chengdu, while sky view factor and industrial zones were the main contributors to UHI of Chongqing. The findings called for corresponding policy strategies to optimize urban form and improve the urban thermal environment.
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Monitoreo del Ambiente , Calor , China , Ciudades , Remodelación UrbanaRESUMEN
Using SPOT/VGT NDVI time series images (2002-2009) and MODIS/LST images (2002-2009) smoothed by a Savitzky-Golay filter, the land surface phenology (LSP) and land surface temperature (LST), respectively, are extracted for six cities in the Yangtze River Delta, China, including Shanghai, Hangzhou, Nanjing, Changzhou, Wuxi, and Suzhou. The trends of the averaged LSP and LST are analyzed, and the relationship between these values is revealed along the urban-rural gradient. The results show that urbanization advances the start of the growing season, postpones the end of the growing season, prolongs the growing season length (GSL), and reduces the difference between maximal NDVI and minimal NDVI in a year (NDVIamp). More obvious changes occur in surface vegetation phenology as the urbanized area is approached. The LST drops monotonously and logarithmically along the urban-rural gradient. Urbanization generally affects the LSP of the surrounding vegetation within 6 km to the urban edge. Except for GSL, the difference in the LSP between urban and rural areas has a significant logarithmic relationship with the distance to the urban edge. In addition, there is a very strong linear relationship between the LSP and the LST along the urban-rural gradient, especially within 6 km to the urban edge. The correlations between LSP and gross domestic product and population density reveal that human activities have considerable influence on the land surface vegetation growth.
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Desarrollo de la Planta , Urbanización , China , Ciudades , Ríos , Imágenes Satelitales , Estaciones del Año , TemperaturaRESUMEN
By using TM/ETM+ and MODIS images, the land surface temperature (LST) and relative heat island intensity (RHII) of the central area of Chongqing City were extracted to analyze the distribution patterns of the LST and RHII along the multi-gradients of topography, population, and gross domestic product (GDP) as well as the potential quantitative relationships. The LST and RHII manifested a non-monotonically decreasing trend along the gradients of elevation and relief degree, respectively, both with a significant quadratic polynomial relationship. The maximum RHII appeared at 200-350 m elevation section due to the massive urban construction activities, and had significant linear relationships with the population density and the GDP per square kilometer. The RHII rose about 0.10 degrees C when the population density increased 1000 people per square kilometer, and rose about 0.08 degrees C when the GDP per square kilometer increased 10 million RMB Yuan.
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Ciudades , Ecosistema , Monitoreo del Ambiente/instrumentación , Calor , Urbanización , China , Clima , Monitoreo del Ambiente/métodos , Calentamiento Global/estadística & datos numéricos , Producto Interno Bruto , Densidad de PoblaciónRESUMEN
Based on the time series NDVI images from 1998 to 2005 and by the method of moving average, the vegetation phenology in urban areas and buffer zones of Shanghai, Hangzhou, Nanjing, Changzhou, Wuxi and Suzhou in Yangtze River Delta region were calculated. The difference of average phenology in urban areas and buffer zones was analyzed, and the relationship between this difference and the distance away from urban edge was studied. The results showed that in 1998-2005, the urbanization of the cities made the vegetations in their urban area had an earlier start of growing season (SOS), later end of growing season (EOS), longer growing season length (GSL), and smaller NDVIamp (difference of maximal and minimal NDVI in a year). These changes were more obvious in buffer zones if they were closer to urban area. In general, urbanization made the SOS within 4 kilometers away from the urban edge started obviously earlier, and the EOS, GSL and NDVIamp within 10 kilometers away from the urban edge changed obviously. The differences of GSL between urban and buffer zones had a significant logarithmic relationship with the distance away from the urban edge, so did the NDVIamp.