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

Research about Rainwater Collection and Utilization in Urban Scenic Areas--Taking the scenic area construction of Nanchang Wanshou Tower as the example

Authors
Shuzhen Zou, Chaojun Wei, Biaohong Tao, Ming Zhu
Corresponding Author
Shuzhen Zou
Available Online December 2017.
DOI
10.2991/anit-17.2018.7How to use a DOI?
Keywords
Rainwater landscape design, Nanchang, Wanshou Tower
Abstract

Taking the scenic area of Nanchang Wanshou Tower as the example, this study applies rain flood management into the landscape design of the targeted lake wetland park and carries out a comprehensive analysis about the combination condition of rainwater collection management and different types of landscape design including park road surface, green land, pond, roof garden, road, parking lot and so on, thereby hoping to provide reference and enlightenment for the rainwater utilization in Jiangxi and the development, design and study of scenic spot ecology.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
Series
Advances in Intelligent Systems Research
Publication Date
December 2017
ISBN
10.2991/anit-17.2018.7
ISSN
1951-6851
DOI
10.2991/anit-17.2018.7How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shuzhen Zou
AU  - Chaojun Wei
AU  - Biaohong Tao
AU  - Ming Zhu
PY  - 2017/12
DA  - 2017/12
TI  - Research about Rainwater Collection and Utilization in Urban Scenic Areas--Taking the scenic area construction of Nanchang Wanshou Tower as the example
BT  - Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
PB  - Atlantis Press
SP  - 32
EP  - 36
SN  - 1951-6851
UR  - https://doi.org/10.2991/anit-17.2018.7
DO  - 10.2991/anit-17.2018.7
ID  - Zou2017/12
ER  -