GIS-based identification of spatial variables enhancing heat and poor air quality in urban areas

Merbitz, Hendrik; Buttstädt, Mareike; Michael, S.; Dott, Wolfgang; Schneider, Christoph

doi:10.1016/j.apgeog.2011.06.008

Cited by 75 publications

(38 citation statements)

References 31 publications

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“…In order to determine the concentration distribution of air pollutants, modeling approaches, such as dispersion modeling [63] or geo-statistical regression techniques, which are based on measurements at a large number of sites [64,65], are required. Geo-statistical methods have also been applied to identify urban areas with a high potential of both enhanced heat and poor air quality [66].…”

Section: Urban Climate Climate Change and Air Pollutionmentioning

confidence: 99%

Urbanity and Urbanization: An Interdisciplinary Review Combining Cultural and Physical Approaches

Schneider

Achilles

Merbitz

2014

Land

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This review paper focuses on research schemes regarding urbanity and urbanization, and brings together both cultural and physical approaches. First, we review the cultural and social construction of urbanity (as related to urbanization) in Germany. In the early 20th century, urbanity was mainly the result of identity derived from a historical perspective in cities. This has changed profoundly in recent decades as urbanity stems more and more from various urban lifestyles and the staging of societal experiences, as summarized in the German term, "Erlebnisgesellschaft" (thrill-seeking society). The discussion is extended by an assessment of the recent state of the art regarding physical urban research. The focus lies on different fields of research; we address topics such as biodiversity, urban climate, air pollution, and resilience, as well as their impact on urban planning and governance. In conclusion, in order to tackle recent developments and future challenges regarding social and environmental issues, an integrative approach urges novel cross-and inter-disciplinary research efforts in urban studies, including urban-rural linkages. A newly constituted assessment of urbanization and city quarter development is proposed; the assessment focuses on the conjoint analysis of mobility, "Energiewende" (energy transition), cultural drivers, demographic development, and environmental issues.

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Section: Urban Climate Climate Change and Air Pollutionmentioning

confidence: 99%

Urbanity and Urbanization: An Interdisciplinary Review Combining Cultural and Physical Approaches

Schneider

Achilles

Merbitz

2014

Land

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“…Therefore, it was assigned to each type of landuse code CORINE Land Cover to be uniformly processed data [14]. This procedure has been reduced 57 previous values of landuse to 16 CORINE categories.…”

Section: B Gis Datamentioning

confidence: 99%

GIS-based Hotspot and Cold Spot Localization in Solutions

Geletič¹

2013

IJESD

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Abstract-Air temperature is for a long time one of meteorological variables that are in interesting continuously monitored by general and professional public. Especially urban climate is characterized by very strong temporal and spatial variability. This difference is primarily related to the specific areas in the city, such as industrial sites, parks, lakes, roads, squares or dense areas. Due to the uneven distribution of these elements is possible that a combination of several elements can accumulate negative impacts of extreme phenomenon, which may have an strong impact on society living in the city.Most studies of city climate often describe only urban heat island and spatial variability of air temperature. In the city already exists hot spots and cold spots. The aim of this paper is determine the key factors that influence the creation and intensity of these phenomena in Olomouc. Using GIS tools (multi-criterial model) define areas inclinable to these phenomena and determine relationship between the observed elements. The analysis of these elements can lead to the possibility of such an early warning of inhabitants before the emergence of local dangerous meteorological phenomena (formation of black ice, fog, poor air quality, high temperature, etc.) or to improve urban planning.

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“…Statistical modelling, as an alternative modelling approach, can be considered an objective estimation technique in the sense that the method is based on statistical data analysis establishing empirical relationships between ambient pollutant concentrations and influencing variables like e.g., meteorological parameters [21,22] or land use patterns [23,24]. The problem is that many common solutions like regression modelling are not applicable for non-linear problems often found in the real world (environmental or ecological contexts).…”

Section: Introductionmentioning

confidence: 99%

Modelling of Urban Near-Road Atmospheric PM Concentrations Using an Artificial Neural Network Approach with Acoustic Data Input

et al. 2017

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Air quality assessment is an important task for local authorities due to several adverse health effects that are associated with exposure to e.g., urban particle concentrations throughout the world. Based on the consumption of costs and time related to the experimental works required for standardized measurements of particle concentration in the atmosphere, other methods such as modelling arise as integrative options, on condition that model performance reaches certain quality standards. This study presents an Artificial Neural Network (ANN) approach to predict atmospheric concentrations of particle mass considering particles with an aerodynamic diameter of 0.25-1 μm (PM(0.25-1)), 0.25-2.5 μm (PM(0.25-2.5)), 0.25-10 μm (PM(0.25-10)) as well as particle number concentrations of particles with an aerodynamic diameter of 0.25-2.5 μm (PNC(0.25-2.5)). ANN model input variables were defined using data of local sound measurements, concentrations of background particle transport and standard meteorological data. A methodology including input variable selection, data splitting and an evaluation of their performance is proposed. The ANN models were developed and tested by the use of a data set that was collected in a street canyon. The ANN models were applied furthermore to a research site featuring an inner-city park to test the ability of the approach to gather spatial information of aerosol concentrations. It was observed that ANN model predictions of PM(0.25-10) and PNC(0.25-2.5) within the street canyon case as well as predictions of PM(0.25-2.5), PM(0.25-10) and PNC(0.25-2.5) within the case study of the park area show good agreement to observations and meet quality standards proposed by the European Commission regarding mean value prediction. Results indicate that the ANN models proposed can be a fairly accurate tool for assessment in predicting particle concentrations not only in time but also in space.

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GIS-based identification of spatial variables enhancing heat and poor air quality in urban areas

Cited by 75 publications

References 31 publications

Urbanity and Urbanization: An Interdisciplinary Review Combining Cultural and Physical Approaches

Urbanity and Urbanization: An Interdisciplinary Review Combining Cultural and Physical Approaches

GIS-based Hotspot and Cold Spot Localization in Solutions

Modelling of Urban Near-Road Atmospheric PM Concentrations Using an Artificial Neural Network Approach with Acoustic Data Input

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