Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)

Studies on Phytocoenosis Configuration in Rain Garden Landscape Design in Nanchang

Authors
Shuzhen Zou, Wanjun Duan, Yirong Zhu, Biaohong Tao
Corresponding Author
Shuzhen Zou
Available Online December 2017.
DOI
https://doi.org/10.2991/anit-17.2018.44How to use a DOI?
Keywords
Nanchang, rain garden, phytocoenosis, configuration, landscape design.
Abstract
Against the increasing cementation in cities, the rain garden, as an urban green infrastructure, has been increasingly focused on in terms of alleviating urban waterlogging, rainwater runoff pollution, groundwater level decline and conserving biodiversity. In its design, it is vital to select and design plants and their communities, directly affecting landscape functions and post effects. Based on the analysis of current rain garden plants at home and abroad, in combination with natural conditions of Nanchang, this paper discusses the selection principles for local plants and their communities, proposing 5 phytocoenosis combinations suitable for rain gardens in Nanchang.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2017
ISBN
978-94-6252-447-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/anit-17.2018.44How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Shuzhen Zou
AU  - Wanjun Duan
AU  - Yirong Zhu
AU  - Biaohong Tao
PY  - 2017/12
DA  - 2017/12
TI  - Studies on Phytocoenosis Configuration in Rain Garden Landscape Design in Nanchang
BT  - 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/anit-17.2018.44
DO  - https://doi.org/10.2991/anit-17.2018.44
ID  - Zou2017/12
ER  -