1,925 research outputs found

    New separation protocol reveals spray painting as a neglected source of microplastics in soils

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    Microplastics are recently discovered contaminants, yet knowledge on their sources and analysis is limited. For instance, paint microplastics are poorly known because soil separation protocols using flotation solutions cannot separate paint microplastics due to the higher density of paint microplastic versus common microplastics. Here, we designed a new two-step density separation protocol for paint microplastics, allowing paint microplastics to be separated from the soil without digestion. Paint particles were separated from soil samples collected around the graffiti wall at the Mauerpark, Berlin, then quantified according to their shape and color characteristic. The presence of polymers as binders in the paint particles was verified by Fourier transform infrared spectroscopy. Results show concentrations from 1.1 × 105 to 2.9 × 105 microplastics per Kg of dry soil, representing the highest microplastic concentration ever reported in the literature. Particle concentrations decreased and the median size increased with soil depth. Our results provide first evidence that spray painting, a technique with a wide range of applications from industry to art, leaves a legacy of environmental microplastic in soils that has so far gone unnoticed

    What personal and environmental factors determine frequency of urban greenspace use?

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    For many people, urban greenspaces are the only places where they encounter the natural world. This is concerning as there is growing evidence demonstrating that human well-being is enhanced by exposure to nature. There is, therefore, a compelling argument to increase how frequently people use urban greenspaces. This may be achieved in two complementary ways by encouraging: (I) non-users to start visiting urban greenspaces; (II) existing users to visit more often. Here we examine the factors that influence frequency of greenspace visitation in the city of Sheffield, England. We demonstrate that people who visit a site least frequently state lower self-reported psychological well-being. We hypothesised that a combination of socio-demographic characteristics of the participants, and the biophysical attributes of the greenspaces that they were visiting, would be important in influencing visit frequency. However, socio-demographic characteristics (income, age, gender) were not found to be predictors. In contrast, some biophysical attributes of greenspaces were significantly related to use frequency. Frequent use was more likely when the time taken to reach a greenspace was shorter and for sites with a higher index of greenspace neglect, but were unrelated to tree cover or bird species richness. We related these results to the motivations that people provide for their visits. Infrequent users were more likely to state motivations associated with the quality of the space, while frequent users gave motivations pertaining to physical, repeated activities. This suggests that there may be no simple way to manage greenspaces to maximise their use across user cohorts as the motivations for visits are very different

    Quantifying the impact of scenic environments on health

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    Few people would deny an intuitive sense of increased wellbeing when spending time in beautiful locations. Here, we ask: can we quantify the relationship between environmental aesthetics and human health? We draw on data from Scenic-Or-Not, a website that crowdsources ratings of “scenicness” for geotagged photographs across Great Britain, in combination with data on citizen-reported health from the Census for England and Wales. We find that inhabitants of more scenic environments report better health, across urban, suburban and rural areas, even when taking core socioeconomic indicators of deprivation into account, such as income, employment and access to services. Our results provide evidence in line with the striking hypothesis that the aesthetics of the environment may have quantifiable consequences for our wellbeing

    Identifying tranquil environments and quantifying impacts

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    The UK has recently recognized the importance of tranquil spaces in the National Planning Policy Framework. This policy framework places considerable emphasis on sustainable development with the aim of making planning more streamlined, localized and less restrictive. Specifically it states that planning policies and decisions should aim to "identify and protect areas of tranquillity which have remained relatively undisturbed by noise and are prized for their recreational and amenity value for this reason". This is considered by some (e.g. National Park Authorities) to go beyond merely identifying quiet areas based on relatively low levels of mainly transportation noise, as the concept of tranquillity implies additionally a consideration of visual intrusion of man-made structures and buildings into an otherwise perceived natural landscape. In the first instance this paper reports on applying a method for predicting the perceived tranquillity of a place and using this approach to classify the level of tranquillity in existing areas. It then seeks to determine the impact of a new build, by taking the example of the construction of wind turbines in the countryside. For this purpose; noise level measurements, photographs and jury assessments of tranquillity at a medium sized land based wind turbine were made. It was then possible to calculate the decrement of noise levels and visual prominence with distance in order to determine the improvement of tranquillity rating with increasing range. The point at which tranquillity was restored in the environment allowed the calculation of the position of the footprint boundary

    Relation Between Park Characteristics and Physical Activity Levels in a Rural Midwest Community

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    Objective: To identify the relation between park characteristics and park use/physical activity levels in the rural Midwest community of Ottumwa, Iowa. Methods: The Physical Activity Resource Assessment (PARA) was used to determine the presence and condition of park characteristics at 13 Ottumwa parks in March 2017. Additionally, data collected by the University of Iowa College of Public Health using the System for Observing Play and Recreation in Communities (SOPARC) was used for data regarding park usage and physical activity levels. Results: The number of features, amenities, and incivilities varied between parks. The number of features present ranged from 1-7 with the most common being play equipment. The number of amenities present ranged from 1-10 with the most common being shaded picnic tables and trash containers. The number of incivilities present ranged from 0-2 with litter being by far the most common. Additionally, positive correlations were observed between number of features/amenities and physical activity levels and a negative correlation observed between average condition and physical activity levels. Conclusions: Positive correlations between number of features/amenities and physical activity indicates the importance of having a variety of features and amenities not only within a park but also between parks to increase the opportunities for different types and levels of physical activity. The low number of people observed within the parks reveals a need to promote park use in general and not just efforts to increase physical activity levels of current park users. Overall, more research, with larger data sets, is necessary to understand fully the influence of park characteristics on park use and physical activity levels in rural Midwest communities

    Urban Visual Intelligence: Studying Cities with AI and Street-level Imagery

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    The visual dimension of cities has been a fundamental subject in urban studies, since the pioneering work of scholars such as Sitte, Lynch, Arnheim, and Jacobs. Several decades later, big data and artificial intelligence (AI) are revolutionizing how people move, sense, and interact with cities. This paper reviews the literature on the appearance and function of cities to illustrate how visual information has been used to understand them. A conceptual framework, Urban Visual Intelligence, is introduced to systematically elaborate on how new image data sources and AI techniques are reshaping the way researchers perceive and measure cities, enabling the study of the physical environment and its interactions with socioeconomic environments at various scales. The paper argues that these new approaches enable researchers to revisit the classic urban theories and themes, and potentially help cities create environments that are more in line with human behaviors and aspirations in the digital age

    A Case Study of Pedestrian Environments Around Tamien Station in San Jose, California: An Analysis of Existing Conditions and Recommendations to Improve Pedestrian Access and Promote Walking Around Tamien Station

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    The objective of this research is to understand how the analysis of design elements can foster design recommendations for the transformation of the pedestrian environment around the Tamien Station area. This was done by conducting a street segment audit for twenty-five selected streets around the one-half mile walking distance of Tamien Station providing recommendations based on audit findings and urban design analysis
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