K
Kun Bu
Researcher at Chinese Academy of Sciences
Publications - 41
Citations - 673
Kun Bu is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Land cover & Land use, land-use change and forestry. The author has an hindex of 13, co-authored 32 publications receiving 465 citations.
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Journal ArticleDOI
The Effect of Urban Green Spaces on the Urban Thermal Environment and Its Seasonal Variations
Chaobin Yang,Xingyuan He,Ranghu Wang,Fengqin Yan,Lingxue Yu,Kun Bu,Jiuchun Yang,Liping Chang,Shuwen Zhang +8 more
TL;DR: The results showed that urban green spaces did have significant cooling effects in all seasons, except for winter, but the effects varied considerably across the different seasons and green types, and seemed to depend on the NDVI and size of urbanGreen spaces.
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A review of historical reconstruction methods of land use/land cover
TL;DR: Researchers should focus on rebuilding historical land-cover dataset with high spatial resolution by developing new models so that the study results could be effectively applied in simulations of climatic and ecological effects.
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Mapping the Influence of Land Use/Land Cover Changes on the Urban Heat Island Effect—A Case Study of Changchun, China
Chaobin Yang,Xingyuan He,Fengqin Yan,Lingxue Yu,Kun Bu,Jiuchun Yang,Liping Chang,Shuwen Zhang +7 more
TL;DR: In this paper, both qualitative and quantitative models are employed to explore the effect of land use/land cover changes on the urban heat island (UHI) effect and the results showed that both the patterns of LUCC and UHI have had dramatic changes in the past 30 years, and the average LST of the study area has been continuously increasing as many other land use types have been transformed to urban regions.
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The Cooling Effect of Urban Parks and Its Monthly Variations in a Snow Climate City
Chaobin Yang,Xingyuan He,Lingxue Yu,Jiuchun Yang,Fengqin Yan,Kun Bu,Liping Chang,Shuwen Zhang +7 more
TL;DR: The results showed that the urban parks exhibited a cooling island effect, and the PCIs showed significant monthly variations with the highest intensities in the hot months; the effects of composition on LSTs and PCIs show significant monthly variability and were stronger than the configuration effects; and larger parks tended to have stronger PCI intensities and extents of influence.
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Monitoring the long term vegetation phenology change in Northeast China from 1982 to 2015.
TL;DR: The results showed that there was a significant advance of SOS and a significant delay of EOS, especially in the north part of Northeast China, suggesting that the continuous climate warming in the future may bring no longer growing periods for the grass in the semiarid areas as the drought caused by climate warming may limit the vegetation growth.