The Application of Lianas to Uban Vertical Planting-A Case Study of Haizhu District of Guangzhou City, China

被引：0
|
作者：
Liu, Hui [1 ]
机构：
[1] Guangdong Univ Finance & Econ, Sch Geog & Tourism, Guangzhou 510320, Guangdong, Peoples R China
来源：
ENVIRONMENTAL PROTECTION AND RESOURCES EXPLOITATION, PTS 1-3 | 2013年 / 807-809卷
关键词：
Lianas; vertical greening; ornamental plant; Guangzhou city;
D O I：
10.4028/www.scientific.net/AMR.807-809.1852
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The application of lianas to uban vertical planting has become increasingly important as a focus of urban environmental and landscape management. The objective of this study was to analyze the lianas application in Haizhu district, Guangzhou city. The study showed its disadvantages of lack of more spieces, simplicity of application form, poor study of physiological and ecological characteristics and lack of management in lianas of urban greening which was attributed to low important focus on lianas appliaction in the last decades in this district. A few pieces of advice were put foward to improve the situation. It is expected that more lianas green spaces will provide environmental services and landscape beauty.
引用
收藏
页码：1852 / 1855
页数：4
相关论文
共 50 条
  • [21] The City Agent Model of COVID-19 based on GIS and Application: A Case Study of Guangzhou
    Cao Z.
    Zhang J.
    Yang M.
    Jia L.
    Deng S.
    Zhang, Jianqin (zhangjianqin@bucea.edu.cn); Zhang, Jianqin (zhangjianqin@bucea.edu.cn), 1600, Science Press (23): : 297 - 306
  • [22] Study on Spatial Distribution Pattern of Medical Facilities Based on POI Data-A Case Study of Panyu District, Guangzhou City
    Cheng, Fanglong
    Zhao, Guanwei
    PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON ELECTRICAL, CONTROL AND AUTOMATION ENGINEERING (ECAE 2017), 2017, 140 : 277 - 281
  • [23] Comparative study of different machine learning models in landslide susceptibility assessment:A case study of Conghua District,Guangzhou,China
    Ao Zhang
    Xin-wen Zhao
    Xing-yuezi Zhao
    Xiao-zhan Zheng
    Min Zeng
    Xuan Huang
    Pan Wu
    Tuo Jiang
    Shi-chang Wang
    Jun He
    Yi-yong Li
    China Geology, 2024, 7 (01) : 104 - 115
  • [24] Comparative study of different machine learning models in landslide susceptibility assessment: A case study of Conghua District, Guangzhou, China
    Zhang, Ao
    Zhao, Xin-wen
    Zhao, Xing-yuezi
    Zheng, Xiao-zhan
    Zeng, Min
    Huang, Xuan
    Wu, Pan
    Jiang, Tuo
    Wang, Shi-chang
    He, Jun
    Li, Yi-yong
    CHINA GEOLOGY, 2024, 7 (01) : 104 - 115
  • [25] Occurrence and distribution of microplastics in an urban river: A case study in the Pearl River along Guangzhou City, China
    Lin, Lang
    Zuo, Lin-Zi
    Peng, Jin-Ping
    Cai, Li-Qi
    Fok, Lincoln
    Yan, Yan
    Li, Heng-Xiang
    Xu, Xiang-Rong
    SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 644 : 375 - 381
  • [26] Urban Flood Mitigation Strategies with Coupled Gray–Green Measures: A Case Study in Guangzhou City, China
    Jiayue Li
    Jiajun Zeng
    Guoru Huang
    Wenjie Chen
    International Journal of Disaster Risk Science, 2024, 15 (03) : 467 - 479
  • [27] Research on the characteristics of urban rainstorm pattern in the humid area of Southern China: a case study of Guangzhou City
    Chen, Zhihe
    Yin, Lei
    Chen, Xiaohong
    Wei, Shuai
    Zhu, Zhihua
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2015, 35 (14) : 4370 - 4386
  • [28] The development of community-based service for older people in urban China: A case study in Guangzhou city
    Lin, Wenyi
    INTERNATIONAL SOCIAL WORK, 2017, 60 (06) : 1606 - 1618
  • [29] The Impact of Urban Renewal on Land Surface Temperature Changes: A Case Study in the Main City of Guangzhou, China
    Qiao, Zhi
    Liu, Luo
    Qin, Yuanwei
    Xu, Xinliang
    Wang, Binwu
    Liu, Zhenjie
    REMOTE SENSING, 2020, 12 (05)
  • [30] Analysis on the Incentive Policy of Vertical Greening in China: a Case Study of Shenzhen City
    Li, Yun
    Hu, Yali
    Zhong, Jinghua
    5TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND CIVIL ENGINEERING (ESCE2019), 2019, 283
12345