Wei Chen
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Wei Chen has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Jianjun Zhang
School of Land Science and Technology, China University of Geosciences, Beijing 100083, China
2 shared publications Kexin Yi
School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China
1 shared publication- Sen Liang
School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China
1 shared publication - Shidong Liu
School of Land Science and Technology, China University of Geosciences, Beijing, China
1 shared publication - Shidong Liu
State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
1 shared publication - Xuelian Shi
School of Land Science and Technology, China University of Geosciences, Beijing 100083, China
1 shared publication
Latest Publications
- 7 December 2024
- Published by Elsevier in Environmental Pollution
- Vol. 366, 125424
Synergistic effects of carbon and heat under disturbance of human activities: Evidence from a resource-based city of China
- 7 December 2024
- Published by Elsevier in Environmental Pollution
- Vol. 366, 125424
Synergistic effects of carbon and heat under disturbance of human activities: Evidence from a resource-based city of China
- Open Access
- 30 November 2020
- Published by MDPI AG in International Journal of Environmental Research and Public Health
- Vol. 17 (23) , 8915
Impacts of Building Features on the Cooling Effect of Vegetation in Community-Based MicroClimate: Recognition, Measurement and Simulation from a Case Study of Beijing
Due to the accumulation of heat, the urban environment and human health are threatened. Land surface cover has effects on the thermal environment; nevertheless, the effects of land surface features and spatial patterns remain poorly known in a community-based microclimate. This study quantified and verified the impacts of normalized difference vegetation index (NDVI) on land surface temperature (LST) (K, the slope of the trend line of a linear regression between NDVI and LST) in different building density by using building outline and Landsat 8 satellite imagery. Comparing the cooling effect and distribution of vegetation showed that the vegetative cover had a cooling effect on LST, characterized by synchronous change, and building density had a significant impact on the cooling effect of vegetation. Through identification and simulation, it was found that the key factor is the wind speed between the buildings because, in different building densities, the wind speed was different, and studies had shown that when the building density was between 0.35 and 0.50, the wind speed between buildings was higher, resulting in a better cooling effect of vegetation. This conclusion has important reference significance for urban planning and mitigating the impact of the thermal environment on human health.
- 30 November 2020
- Published by MDPI AG in International Journal of Environmental Research and Public Health
- Vol. 17 (23) , 8915
Open AccessImpacts of Building Features on the Cooling Effect of Vegetation in Community-Based MicroClimate: Recognition, Measurement and Simulation from a Case Study of Beijing
Due to the accumulation of heat, the urban environment and human health are threatened. Land surface cover has effects on the thermal environment; nevertheless, the effects of land surface features and spatial patterns remain poorly known in a community-based microclimate. This study quantified and verified the impacts of normalized difference vegetation index (NDVI) on land surface temperature (LST) (K, the slope of the trend line of a linear regression between NDVI and LST) in different building density by using building outline and Landsat 8 satellite imagery. Comparing the cooling effect and distribution of vegetation showed that the vegetative cover had a cooling effect on LST, characterized by synchronous change, and building density had a significant impact on the cooling effect of vegetation. Through identification and simulation, it was found that the key factor is the wind speed between the buildings because, in different building densities, the wind speed was different, and studies had shown that when the building density was between 0.35 and 0.50, the wind speed between buildings was higher, resulting in a better cooling effect of vegetation. This conclusion has important reference significance for urban planning and mitigating the impact of the thermal environment on human health.