Author
Listed:
- Dandan Liu
(Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China
Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, Henan University, Kaifeng 475004, China
Henan Key Laboratory of Earth System Observation and Modeling, Henan University, Kaifeng 475004, China)
- Shenghui Zhou
(Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China
Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, Henan University, Kaifeng 475004, China
Henan Key Laboratory of Earth System Observation and Modeling, Henan University, Kaifeng 475004, China)
- Lijun Wang
(Weather Modification Office of Qinghai Province, Xining 810001, China)
- Qian Chi
(Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China
Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, Henan University, Kaifeng 475004, China
Henan Key Laboratory of Earth System Observation and Modeling, Henan University, Kaifeng 475004, China)
- Mengyao Zhu
(Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China
Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, Henan University, Kaifeng 475004, China)
- Weichao Tang
(Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China
Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, Henan University, Kaifeng 475004, China)
- Xiao Zhao
(Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China
Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, Henan University, Kaifeng 475004, China)
- Siqi Xu
(Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China
Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, Henan University, Kaifeng 475004, China)
- Siyu Ye
(Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China
Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, Henan University, Kaifeng 475004, China)
- Jay Lee
(Department of Geography, Kent State University, Kent, OH 44242, USA)
- Yaoping Cui
(Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China
Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, Henan University, Kaifeng 475004, China
Henan Key Laboratory of Earth System Observation and Modeling, Henan University, Kaifeng 475004, China)
Abstract
With the rapid development of urbanization, various urban problems such as air pollution, urban heat islands, poor ventilation, and so on have followed. Ventilation corridors can improve the internal ventilation conditions of a city and can effectively alleviate these urban problems. Taking Kaifeng as an example of a medium-sized city, this study used meteorological analysis and remote sensing (RS) technology and a geographical information system (GIS) to plan ventilation corridors. Through analysis of the thermal environment, the influential factors of the underlying surface (building density, road length, water length, vegetation coverage) and wind environment in Kaifeng, the compensation space and action space, and the comprehensive values of the ventilation potential in each region were determined. The results show that with the use of the single-window algorithm and Landsat8 data, high-resolution ground temperature can be retrieved. Moreover, although the ventilation potential value of Kaifeng in the northern part is better than that in the southern part, the temperature in the north is higher than that in the south. Through comparison and analysis of the location of the low-temperature zone, the air duct opening of the ventilation corridor can be determined and the source areas of three ecological ventilation corridors identified. According to the ventilation corridor air duct opening, the urban underlying surface and the dominant wind direction of Kaifeng city, two ventilation corridors located on the eastern and western sides of Kaifeng city were planned. This urban ventilation corridor planning method, which is based on temperature difference analysis and determination of the source area of the ventilation corridor, can provide a reference for the construction of an ecologically livable city.
Suggested Citation
Dandan Liu & Shenghui Zhou & Lijun Wang & Qian Chi & Mengyao Zhu & Weichao Tang & Xiao Zhao & Siqi Xu & Siyu Ye & Jay Lee & Yaoping Cui, 2022.
"Research on the Planning of an Urban Ventilation Corridor Based on the Urban Underlying Surface Taking Kaifeng City as an Example,"
Land, MDPI, vol. 11(2), pages 1-15, January.
Handle:
RePEc:gam:jlands:v:11:y:2022:i:2:p:206-:d:737210
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Cited by:
- Mengyao Zhu & Dandan Liu & Weichao Tang & Qian Chi & Xiao Zhao & Siqi Xu & Siyu Ye & Yaobin Wang & Yaoping Cui & Shenghui Zhou, 2022.
"Exploring the Ecological Climate Effects Based on Five Land Use Types: A Case Study of the Huang-Huai-Hai River Basin in China,"
Land, MDPI, vol. 11(2), pages 1-18, February.
- Chen Zuo & Chengcheng Liang & Jing Chen & Rui Xi & Junfei Zhang, 2023.
"Machine Learning-Based Urban Renovation Design for Improving Wind Environment: A Case Study in Xi’an, China,"
Land, MDPI, vol. 12(4), pages 1-18, March.
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