The Impact of Green Space Changes on Air Pollution and Microclimates: A Case Study of the Taipei Metropolitan Area

Liu, Hsiao-Lan; Shen, Yu-Sheng

doi:10.3390/su6128827

Cited by 77 publications

(45 citation statements)

References 57 publications

(61 reference statements)

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“…On the other hand, the dominant landscapes in these areas covering over two-thirds of the study area are forest and green land, with high AI and CONTAG, and little pollutant source, hence the PM 10 concentration is rather low. This reconfirmed the results of Liu and Shen [44]. However, the newly developed built-up area is experiencing a decrease of LSI and SHDI whilst an increase of AI, CONTAG, and PM 10 concentration.…”

Section: Discussionsupporting

confidence: 85%

Effect of Land Use and Cover Change on Air Quality in Urban Sprawl

Zou

Sternberg

et al. 2016

Sustainability

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Due to the frequent urban air pollution episodes worldwide recently, decision-makers and government agencies are struggling for sustainable strategies to optimize urban land use/cover change (LUCC) and improve the air quality. This study, thus, aims to identify the underlying relationships between PM 10 concentration variations and LUCC based on the simulated PM 10 surfaces in 2006 and 2013 in the Changsha-Zhuzhou-Xiangtan agglomeration (CZT), using a regression modeling approach. LUCC variables and associated landscape indexes are developed and correlated with PM 10 concentration variations at grid level. Results reveal that the overall mean PM 10 concentrations in the CZT declined from 106.74 µg/m 3 to 94.37 µg/m 3 between 2006 and 2013. Generally, variations of PM 10 concentrations are positively correlated with the increasing built-up area, and negatively correlated with the increase in forests. In newly-developed built-up areas, PM 10 concentrations declined with the increment of the landscape shape index and the Shannon diversity index and increased with the growing Aggregation index and Contagion index. In other areas, however, the reverse happens. These results suggest that LUCC caused by urban sprawl might be an important factor for the PM 10 concentration variation in the CZT. The influence of the landscape pattern on PM 10 concentration may vary in different stages of urban development.

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Section: Discussionsupporting

confidence: 85%

Effect of Land Use and Cover Change on Air Quality in Urban Sprawl

Zou

Sternberg

et al. 2016

Sustainability

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“…It is favored by environmental scientists for effectively dealing with independent variables that yield high multicollinearity. However, the model has been introduced to only a small number of urban researchers such as Liu and Shen [87] and Zhao et al [88]. Unlike other regression models that generate the p value to represent significance level, the PLS regression model generates the variable importance for projection (VIP) value for each independent variable to reflect its importance.…”

Section: Discussionmentioning

confidence: 99%

The Seasonal and Diurnal Influence of Surrounding Land Use on Temperature: Findings from Seoul, South Korea

Kim¹,

Kim²

2017

Sustainability

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Abstract:There is a growing interest in understanding how the built environment affects temperature in cities. This study explores the impact of land use on temperature and how it varies by season and time of day in Seoul, South Korea. Unlike other studies that rely on extracted data from remotely sensed information, this study uses land use data from local GIS and near-ground temperature data from a network of state-run weather stations. To deal with multicollinearity among the land use variables, partial least squares regression models were used for analysis. Results suggest that residential and commercial uses and roads increase the temperature while open spaces decrease it. In detail, central commercial use, high-density residential use, and roads were influential heaters, while greenery was an influential cooler throughout the year. This study suggests the need for place-based planning and design solutions that help build climate resilience of cities.

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“…Quantifying landscape structure involves focusing on the interactions between ecological processes in the landscape ecology field, including landscape patterns [25,78,79]. Researchers have developed various landscape indices to quantify or measure structural connectivity, composition, and configuration [32,[80][81][82][83].…”

Section: Quantifying Landscape Structurementioning

confidence: 99%

An Integrated Approach to Mitigation Wetland Site Selection: A Case Study in Gwacheon, Korea

et al. 2015

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This paper presents an integrated approach to mitigation wetland site selection using functional landscape connectivity and landscape structure. This approach enables landscape designers to evaluate the relative priorities of mitigation wetland areas based on functional landscape connectivity and wildlife mobility, as well as landscape structure, composition, and configuration. The least-cost path method is used to evaluate candidate sites for mitigation wetlands with regard to wildlife movement. A set of assessments for landscape indices using FRAGSTATS was applied to identify suitable mitigation wetland areas on the basis of landscape connectivity, composition, and configuration. The study was conducted in Gwacheon, Korea, where there are plans for regional development that will change the landscape. In the first step, a group of 14 candidate sites is identified via analysis of functional landscape connectivity using the least-cost path method. In the second step, candidate mitigation wetland areas are ranked according to landscape connectivity and composition. The five mitigation wetland areas that were found to be suitable were analyzed based on landscape configuration at the class level. This study demonstrates OPEN ACCESSSustainability 2015, 7 3387 that functional landscape connectivity and landscape structure are important aspects to consider when identifying suitable sites for mitigation wetland planning and restoration.

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The Impact of Green Space Changes on Air Pollution and Microclimates: A Case Study of the Taipei Metropolitan Area

Cited by 77 publications

References 57 publications

Effect of Land Use and Cover Change on Air Quality in Urban Sprawl

Effect of Land Use and Cover Change on Air Quality in Urban Sprawl

The Seasonal and Diurnal Influence of Surrounding Land Use on Temperature: Findings from Seoul, South Korea

An Integrated Approach to Mitigation Wetland Site Selection: A Case Study in Gwacheon, Korea

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