Urban Green Space Planning Based on Computational Fluid Dynamics Model and Landscape Ecology Principle: A Case Study of<br />Liaoyang City, Northeast China

ZHOU Yuan; SHI Tiemao; HU Yuanman; et al.

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Urban Green Space Planning Based on Computational Fluid Dynamics Model and Landscape Ecology Principle: A Case Study of
Liaoyang City, Northeast China

ZHOU Yuan, SHI Tiemao, HU Yuanman, et al.

文章导航 > Chinese Geographical Science > 2011 > 21(4): 465-475

ZHOU Yuan, SHI Tiemao, HU Yuanman, et al.. Urban Green Space Planning Based on Computational Fluid Dynamics Model and Landscape Ecology Principle: A Case Study ofLiaoyang City, Northeast China[J]. 中国地理科学, 2011, 21(4): 465-475.

引用本文:

ZHOU Yuan, SHI Tiemao, HU Yuanman, et al.. Urban Green Space Planning Based on Computational Fluid Dynamics Model and Landscape Ecology Principle: A Case Study of
Liaoyang City, Northeast China[J]. 中国地理科学, 2011, 21(4): 465-475.

Citation:

ZHOU Yuan, SHI Tiemao, HU Yuanman, et al.. Urban Green Space Planning Based on Computational Fluid Dynamics Model and Landscape Ecology Principle: A Case Study of
Liaoyang City, Northeast China[J]. Chinese Geographical Science, 2011, 21(4): 465-475.

Urban Green Space Planning Based on Computational Fluid Dynamics Model and Landscape Ecology Principle: A Case Study of
Liaoyang City, Northeast China

(1. State Key Laboratory of Forest and Soil Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, China; 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China; 3. School of Architecture and Urban Planning,
Shenyang Jianzhu University, Shenyang 110168, China)

Urban Green Space Planning Based on Computational Fluid Dynamics Model and Landscape Ecology Principle: A Case Study of
Liaoyang City, Northeast China

(1. State Key Laboratory of Forest and Soil Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, China; 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China; 3. School of Architecture and Urban Planning,
Shenyang Jianzhu University, Shenyang 110168, China)

摘要: As a result of environmental degradation, urban green space has become a key issue for urban sustainable development. This paper takes Liaoyang City in Northeast China as an example to develop green space planning using the computational fluid dynamics (CFD) model, landscape ecological principles and Geographical Information System (GIS). Based on the influencing factors of topography, building density and orientation, Shou Mountain, Longding Mountain and the Taizi River were selected as the urban ventilation paths to promote wind and oxygen circulation. Oxygen concentration around the green spaces gradually decreased with wind speed increase and wind direction change. There were obvious negative correlation relationships between the oxygen dispersion concentration and urban layout factors such as the building plot ratio and building density. Comparison with the field measurements found that there was significant correlation relationship between simulated oxygen concentration and field measurements (R2 = 0.6415, p < 0.001), moreover, simulation precision was higher than 92%, which indicated CFD model was effective for urban oxygen concentration simulation. Only less than 10% areas in Liaoyang City proper needed more green space urgently to improve oxygen concentration, mainly concentrated in Baitai and west Wensheng districts. Based on landscape ecology principle, green space planning at different spatial scales were proposed to create a green space network system for Liaoyang City, including features such as green wedges, green belts and parks. Totally, about 2012 ha of green space need to be constructed as oxygen sources and ventilation paths. Compared with the current green space pattern, proposed green space planning could improve oxygen concentration obviously. The CFD model and research results in this paper could provide an effective way and theory support for sustainable development of urban green space.
- green space /
- computational fluid dynamics /
- oxygen dispersion pattern /
- landscape ecology /
- Liaoyang City proper
Abstract: As a result of environmental degradation, urban green space has become a key issue for urban sustainable development. This paper takes Liaoyang City in Northeast China as an example to develop green space planning using the computational fluid dynamics (CFD) model, landscape ecological principles and Geographical Information System (GIS). Based on the influencing factors of topography, building density and orientation, Shou Mountain, Longding Mountain and the Taizi River were selected as the urban ventilation paths to promote wind and oxygen circulation. Oxygen concentration around the green spaces gradually decreased with wind speed increase and wind direction change. There were obvious negative correlation relationships between the oxygen dispersion concentration and urban layout factors such as the building plot ratio and building density. Comparison with the field measurements found that there was significant correlation relationship between simulated oxygen concentration and field measurements (R2 = 0.6415, p < 0.001), moreover, simulation precision was higher than 92%, which indicated CFD model was effective for urban oxygen concentration simulation. Only less than 10% areas in Liaoyang City proper needed more green space urgently to improve oxygen concentration, mainly concentrated in Baitai and west Wensheng districts. Based on landscape ecology principle, green space planning at different spatial scales were proposed to create a green space network system for Liaoyang City, including features such as green wedges, green belts and parks. Totally, about 2012 ha of green space need to be constructed as oxygen sources and ventilation paths. Compared with the current green space pattern, proposed green space planning could improve oxygen concentration obviously. The CFD model and research results in this paper could provide an effective way and theory support for sustainable development of urban green space.
- green space /
- computational fluid dynamics /
- oxygen dispersion pattern /
- landscape ecology /
- Liaoyang City proper

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Urban Green Space Planning Based on Computational Fluid Dynamics Model and Landscape Ecology Principle: A Case Study of
Liaoyang City, Northeast China

(1. State Key Laboratory of Forest and Soil Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, China; 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China; 3. School of Architecture and Urban Planning,

Shenyang Jianzhu University, Shenyang 110168, China)

刊出日期: 2011-08-03

关键词:

green space /

computational fluid dynamics /

oxygen dispersion pattern /

landscape ecology /

Liaoyang City proper

摘要: As a result of environmental degradation, urban green space has become a key issue for urban sustainable development. This paper takes Liaoyang City in Northeast China as an example to develop green space planning using the computational fluid dynamics (CFD) model, landscape ecological principles and Geographical Information System (GIS). Based on the influencing factors of topography, building density and orientation, Shou Mountain, Longding Mountain and the Taizi River were selected as the urban ventilation paths to promote wind and oxygen circulation. Oxygen concentration around the green spaces gradually decreased with wind speed increase and wind direction change. There were obvious negative correlation relationships between the oxygen dispersion concentration and urban layout factors such as the building plot ratio and building density. Comparison with the field measurements found that there was significant correlation relationship between simulated oxygen concentration and field measurements (R2 = 0.6415, p < 0.001), moreover, simulation precision was higher than 92%, which indicated CFD model was effective for urban oxygen concentration simulation. Only less than 10% areas in Liaoyang City proper needed more green space urgently to improve oxygen concentration, mainly concentrated in Baitai and west Wensheng districts. Based on landscape ecology principle, green space planning at different spatial scales were proposed to create a green space network system for Liaoyang City, including features such as green wedges, green belts and parks. Totally, about 2012 ha of green space need to be constructed as oxygen sources and ventilation paths. Compared with the current green space pattern, proposed green space planning could improve oxygen concentration obviously. The CFD model and research results in this paper could provide an effective way and theory support for sustainable development of urban green space.

English Abstract

Urban Green Space Planning Based on Computational Fluid Dynamics Model and Landscape Ecology Principle: A Case Study of
Liaoyang City, Northeast China

(1. State Key Laboratory of Forest and Soil Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, China; 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China; 3. School of Architecture and Urban Planning,

Shenyang Jianzhu University, Shenyang 110168, China)

Publish Date: 2011-08-03

Keywords:

Abstract: As a result of environmental degradation, urban green space has become a key issue for urban sustainable development. This paper takes Liaoyang City in Northeast China as an example to develop green space planning using the computational fluid dynamics (CFD) model, landscape ecological principles and Geographical Information System (GIS). Based on the influencing factors of topography, building density and orientation, Shou Mountain, Longding Mountain and the Taizi River were selected as the urban ventilation paths to promote wind and oxygen circulation. Oxygen concentration around the green spaces gradually decreased with wind speed increase and wind direction change. There were obvious negative correlation relationships between the oxygen dispersion concentration and urban layout factors such as the building plot ratio and building density. Comparison with the field measurements found that there was significant correlation relationship between simulated oxygen concentration and field measurements (R2 = 0.6415, p < 0.001), moreover, simulation precision was higher than 92%, which indicated CFD model was effective for urban oxygen concentration simulation. Only less than 10% areas in Liaoyang City proper needed more green space urgently to improve oxygen concentration, mainly concentrated in Baitai and west Wensheng districts. Based on landscape ecology principle, green space planning at different spatial scales were proposed to create a green space network system for Liaoyang City, including features such as green wedges, green belts and parks. Totally, about 2012 ha of green space need to be constructed as oxygen sources and ventilation paths. Compared with the current green space pattern, proposed green space planning could improve oxygen concentration obviously. The CFD model and research results in this paper could provide an effective way and theory support for sustainable development of urban green space.

引用本文:

ZHOU Yuan, SHI Tiemao, HU Yuanman, et al.. Urban Green Space Planning Based on Computational Fluid Dynamics Model and Landscape Ecology Principle: A Case Study of
Liaoyang City, Northeast China[J]. 中国地理科学, 2011, 21(4): 465-475.

Citation:

ZHOU Yuan, SHI Tiemao, HU Yuanman, et al.. Urban Green Space Planning Based on Computational Fluid Dynamics Model and Landscape Ecology Principle: A Case Study of
Liaoyang City, Northeast China[J]. Chinese Geographical Science, 2011, 21(4): 465-475.

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Urban Green Space Planning Based on Computational Fluid Dynamics Model and Landscape Ecology Principle: A Case Study ofLiaoyang City, Northeast China

Urban Green Space Planning Based on Computational Fluid Dynamics Model and Landscape Ecology Principle: A Case Study ofLiaoyang City, Northeast China

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Urban Green Space Planning Based on Computational Fluid Dynamics Model and Landscape Ecology Principle: A Case Study ofLiaoyang City, Northeast China

English Abstract

Urban Green Space Planning Based on Computational Fluid Dynamics Model and Landscape Ecology Principle: A Case Study ofLiaoyang City, Northeast China

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Urban Green Space Planning Based on Computational Fluid Dynamics Model and Landscape Ecology Principle: A Case Study of
Liaoyang City, Northeast China

Urban Green Space Planning Based on Computational Fluid Dynamics Model and Landscape Ecology Principle: A Case Study of
Liaoyang City, Northeast China

Urban Green Space Planning Based on Computational Fluid Dynamics Model and Landscape Ecology Principle: A Case Study of
Liaoyang City, Northeast China

Urban Green Space Planning Based on Computational Fluid Dynamics Model and Landscape Ecology Principle: A Case Study of
Liaoyang City, Northeast China