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

Research about Rain Flood Management in Campus Landscape Design

Authors
ChaoJun Wei, Shuzhen Zou, Biaohong Tao, Weizhan Wang
Corresponding Author
ChaoJun Wei
Available Online December 2017.
DOI
10.2991/anit-17.2018.11How to use a DOI?
Keywords
college, landscape design, rain flood management, runoff coefficient
Abstract

Taking Jiangxi Science and Normal University as an example, this article applies rain flood management into campus landscape design, utilizes the runoff coefficient method to calculate the amount of collectable rainwater in campus, further puts forward economical and practical rainwater collection and application schemes aiming at different rainwater collection approaches including roof, green land, square and water pond and so on, thereby setting up a "green" mode for the campus landscape design in Nanchang region.

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/).

Download article (PDF)

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-17.2018.11
ISSN
1951-6851
DOI
10.2991/anit-17.2018.11How 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  - ChaoJun Wei
AU  - Shuzhen Zou
AU  - Biaohong Tao
AU  - Weizhan Wang
PY  - 2017/12
DA  - 2017/12
TI  - Research about Rain Flood Management in Campus Landscape Design
BT  - Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
PB  - Atlantis Press
SP  - 51
EP  - 57
SN  - 1951-6851
UR  - https://doi.org/10.2991/anit-17.2018.11
DO  - 10.2991/anit-17.2018.11
ID  - Wei2017/12
ER  -