Jun Shao Yan

Jun Shao Yan


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 December 2021 in Earth Surface Processes and Landforms
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Journal Article
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JYJun Shao Yan
Jun Shao Yan
NXNi Xie
Ni Xie
JLJianhui Liu
Jianhui Liu
LLli li
li li
LPLizhou Peng
Lizhou Peng
SJSiwei Jiang
Siwei Jiang

11 May 2023 in Atmosphere
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Journal Article
Open access
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JYJun Shao Yan
Jun Shao Yan
TZTailong Zhang
Tailong Zhang
YWYu Wu
Yu Wu
CLChu Lv
Chu Lv
FQFeng Qi
Feng Qi
YSYamei Shen
Yamei Shen
In recent years, the impact of surface heat islands in urban street canyons has become increasingly apparent. However, the research on the use of trees to mitigate surface heat islands remains limited. To address this gap, this study combines experiments and simulations to analyze the cooling effect of trees on surface temperatures under varying timeframes and layouts in an east–west street canyon. The results reveal that the temperature of the road decreases by 10–15 °C, which is 2–4 times greater than that on the south side. Moreover, at 5:00 p.m. in the afternoon, the cooling effect on the south side is 10.3 °C, which is twice that of the north side. In practical planning and design, the diameter of the tree canopy should be maximized, and trees with leaf-area densities greater than 1.5 m2/m3 should be selected. Additionally, the layout of trees should be optimized to maximize the tree canopy coverage. These findings have important implications for optimizing plant selection and placement in street canyons.

17 December 2024 in International Journal of Biometeorology
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Journal Article
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TLTing Liu
Ting Liu
PXPeng Xu
Peng Xu
TZTailong Zhang
Tailong Zhang
YSYamei Shen
Yamei Shen
YTYizhou Tao
Yizhou Tao
JYJun Shao Yan
Jun Shao Yan

30 July 2025 in Sustainability
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Journal Article
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QTQingwei Tian
Qingwei Tian
YXYi Xu
Yi Xu
JYJun Shao Yan
Jun Shao Yan
YTYizhou Tao
Yizhou Tao
XWXiaohua Wu
Xiaohua Wu
BCBifan Cai
Bifan Cai
Small towns in mountainous regions face significant challenges in formulating effective landscape zoning strategies due to pronounced landscape fragmentation, which is driven by both the dominance of large-scale forest resources and the lack of coordination between administrative planning departments. To tackle this problem, this study focused on Yuqian, a quintessential small mountainous town in Hangzhou, Zhejiang Province. The town’s layout was divided into a grid network measuring 70 m × 70 m. A two-step cluster process was employed using ArcGIS and SPSS software to analyze five landscape variables: altitude, slope, land use, heritage density, and visual visibility. Further, eCognition software’s semi-automated segmentation technique, complemented by manual adjustments, helped delineate landscape character types and areas. The overlay analysis integrated these areas with administrative village units, identifying four landscape character types across 35 character areas, which were recategorized into four planning and management zones: urban comprehensive service areas, agricultural and cultural tourism development areas, industrial development growth areas, and mountain forest ecological conservation areas. This result optimizes the current zoning types. These zones closely match governmental sustainable development zoning requirements. Based on these findings, we propose integrated landscape management and conservation strategies, including the cautious expansion of urban areas, leveraging agricultural and cultural tourism, ensuring industrial activities do not impact the natural and village environment adversely, and prioritizing ecological conservation in sensitive areas. This approach integrates spatial and administrative dimensions to enhance landscape connectivity and resource sustainability, providing key guidance for small town development in mountainous regions with unique environmental and cultural contexts.