基于LCZ的湿热地区典型城市局部空间格局特性研究

doi:10.12052/gdutxb.200007

Abstract

Abstract: The rapid development of urbanization has formed complex diversified spatial layouts in urban-scale city blocks. This phenomenon has influenced the micro-climate characteristics of urban local areas. From the view of quantifying the effects of urban surface elements on local climate, this study proposes a new spatial characteristic indicator-based local climate zone dividing method by considering city blocks’ boundaries. This method, facing the city block unit, could better describe the refined spatial patterns of city block-scale local areas. This study takes the man-made ecological urban region-Guangzhou Higher Education Mega Center (GHEMC) and the typical central business district-Pearl River New Town (PRNT) as examples, and builds the LCZ distribution maps and the distribution atlas of building spatial pattern and underlying surface layout characteristic indicators in these two sample regions by using the proposed LCZ division method. Comparison results show that the GHEMC mainly consists of open middle-rise buildings while PRNT is mainly composed of compact high-rise buildings. Visualization expressions of urban regional LCZ spatial characteristic parameters would provide data basis and theoretical evidence for quantitative research of city block micro-climate distribution laws and climate-friendly ecological urban construction.

Key words: local climate zone, urban planning, spatial morphology, underlying surface types

CLC Number:

TU986

Pan Xin-pei, Liu Li-ru, Liu Lin. An LCZ-based Spatial Pattern Characteristic Analysis of Typical Urban Local Areas in Hot-humid Regions[J].Journal of Guangdong University of Technology, 2021, 38(02): 107-114.

References

[1] 刘志佳, 黄河清. 珠三角地区建设用地扩张与经济、人口变化之间相互作用的时空演变特征分析[J]. 资源科学, 2015, 37(7): 1394-1402.
LIU Z J, HUANG H Q. Analysis on the spatiotemporal evolution of the interaction between construction land expansion and economic and population changes in the Pearl River delta region [J]. Journal of Geographical Sciences, 2015, 37(7): 1394-1402.
[2] 刘琳. 城市局地尺度热环境时空特性分析及热舒适评价研究[D]. 哈尔滨: 哈尔滨工业大学, 2018.
[3] 杜勤勤, 张明军, 王圣杰, 等. 中国气温变化对全球变暖停滞的响应[J]. 地理学报, 2018, 73(9): 140-156.
DU Q Q, ZHANG M J, WANG S J, et al. China's temperature change response to stagnation in global warming [J]. Journal of Geographical Sciences, 2018, 73(9): 140-156.
[4] 宋晓程, 刘京, 林姚宇, 等. 城市局地热气候预测及热岛效应缓解策略[J]. 哈尔滨工业大学学报, 2015, 47(2): 25-30.
SONG X C, LIU J, LIN Y Y, et al. Regional thermal climate prediction and mitigation strategy of local urban heat is land [J]. Journal of Harbin Institute of Technology, 2015, 47(2): 25-30.
[5] 赵冰春, 汪新, 赖志平, 等. 居住小区布局形式对热环境的影响[J]. 广东工业大学学报, 2016, 33(6): 91-95.
ZHAO B C, WANG X, LAI Z P, et al. Effects of building layout forms on thermal environment in residential districts [J]. Journal of Guangdong University of Technology, 2016, 33(6): 91-95.
[6] 于英, 高宏波, 郑雅慧, 等. 影响胶东滨海城市街区微气候的空间形态要素研究[J]. 城市建筑, 2017, 262(29): 51-53.
YU Y, GAO H B, ZHENG Y H, et al. Study on the spatial morphological factors affecting the microclimate in the coastal city block of Jiaodong [J]. Urbanism and Architecture, 2017, 262(29): 51-53.
[7] 徐梦洁. 基于微气候的城市街区绿色出行舒适度研究——以临港生态示范区为例[J]. 中外建筑, 2017(12): 80-82.
XU M J. Research on the Comfort of green travel in urban blocks based on microclimate: a case study of Lin-Gang ecological demonstration area [J]. Chinese and Overseas Architecture, 2017(12): 80-82.
[8] 赵晓龙, 周烨, 赵冬琪, 等. 基于移动测量方法的哈尔滨兆麟公园健身步道春季微气候特征研究[J]. 中国园林, 2018, 34(9): 58-62.
ZHAO X L, ZHOU Y, ZHAO D Q, et al. Research on the spring microclimate characteristics of Harbin Zhaolin park fitness trail based on mobile measurement method [J]. Chinese Landscape Architecture, 2018, 34(9): 58-62.
[9] 黄媛, 刘静怡, CHING J, 等. WUDAPT项目: 城市形式与功能信息的众包解决方案及其应用[J]. 南方建筑, 2018, 185(4): 26-33.
[10] STEWART I D, OKE T R. Local climate zones for urban temperature studies [J]. Bulletin of the American Meteorological Society, 2012, 93(12): 1879-1900.
[11] BECHTEL B, ALEXANDER P J, CHING J, et al. Mapping local climate zones for a worldwide database of the form and function of cities [J]. ISPRS International Journal of Geo-Information, 2015, 4(1): 199-219.
[12] CHUYUAN W, ARIANE M, MYINT S W, et al. Assessing local climate zones in arid cities: the case of Phoenix, Arizona and Las Vegas, Nevada [J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2018, 141: 59-71.
[13] BROUSSE O, MARTILLI A, FOLEY M, et al. WUDAPT, an efficient land use producing data tool for mesoscale models? Integration of urban LCZ in WRF over Madrid [J]. Urban Climate, 2016, 17: 116-134.
[14] WANG R, REN C, XU Y, et al. Mapping the local climate zones of urban areas by GIS-based and WUDAPT methods: a case study of Hong Kong [J]. Urban Climate, 2018, 24: 567-576.
[15] BOHNER J, MCCLOY K, STROBL J. SAGA - analysis and modeling applications[J]. Göttinger Geographische Abhandlungen, 2006(115): 39-52.
[16] DAVENPORT A, GRIMMOND C, OKE T R, et al. Estimating the roughness of cities and sheltered country [C]//12th American Meteorological Society Conference on Applied Climatology. Asheville: Applied climatology, 2000: 96-99.
[17] 埃维特·埃雷尔, 戴维·波尔穆特. 城市小气候[M]. 叶齐茂, 倪晓晖, 译. 北京: 中国建筑工业出版社, 2014: 20-24.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

Comments

Recommended 0

No Suggested Reading articles found!

An LCZ-based Spatial Pattern Characteristic Analysis of Typical Urban Local Areas in Hot-humid Regions

HTML

PDF (PC)

Abstract

Cite this article

share this article

References

Related Articles 3

Metrics

Comments

Recommended 0

[1]	Liu Lin, Huang Jia-hao, Liu Li-ru, Gao Yun-fei, Jin Lei. A LCZ-based Research on the Correlations Between Block-Scale Surface Morphological Characteristics and Thermal-Humid Environment Based on Local Climate Zone [J]. Journal of Guangdong University of Technology, 2021, 38(05): 82-89.
[2]	Huang Jian-wen, Zhu Xue-mei, Xu Ying, Xiong Lu, Zhang Wei-guo. A Quantitative Research on Spatial Morphology of Old Residential Neighborhoods in Lingnan Area Based on Multi-source Big Data [J]. Journal of Guangdong University of Technology, 2019, 36(04): 70-79.
[3]	LI Wei-Ke1, ZOU Guang-Tian2. The Key Technology of Extenics Planning Decision Support System  [J]. Journal of Guangdong University of Technology, 2011, 28(4): 7-11.