Abstract

In this paper, Area of Constructed Wetlands (CWs) required for treatment of domestic sewage generated by 13 million people was calculated in accordance with the distribution of existing population in Guangzhou City and mathematical model of CWs. By comparing this with land use data, the distribution of constructed wetlands at construction regional scale was simulated with GIS. The results show that, Guangzhou generate about 3.88 million m3 domestic sewage per day, which shall be treated with 59.37 km2 CWs. Assuming that a single wetland bed is 300 m2, total 197,905 wetland beds shall be required in the city. Based on the analysis and statistics on data of second national land survey of Guangzhou City with GIS, there are enough ponds, bare lands, other grasslands and other garden plots in Guangzhou that can be used for construction of regional scale CWs, but the distribution of available lands in different regions is uneven. Constructed wetlands at regional scale are mainly distributed around Baini Channel, Tianma River, Xinjie River, Liuxi River Valley, Zengjiang River Valley and on both sides of the Pearl River through Panyu and Nansha.

Details

Title
Area Estimation and Distribution Analysis of Subsurface Flow Constructed Wetlands at Regional Scale--Take Guangzhou City for Example
Author
Yuan, S X 1 ; Tang, G L 2 ; Xiong, H X 1 ; Chen, J 2 ; Yin, X L 2 ; Huang, G Q 1 

 Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, 100 Xianlie Middle Rd, 510070 Yuexiu, Guangzhou, Guangdong, P. R. China; Guangzhou Institute of Geochemistry, Graduate School of the Chinese Academy of Sciences, 510640 Wushan, Guangzhou, Guangdong, China; University of Chinese Academy of Science, Beijing 100049, China 
 Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, 100 Xianlie Middle Rd, 510070 Yuexiu, Guangzhou, Guangdong, P. R. China 
Publication year
2017
Publication date
Jan 2017
Publisher
IOP Publishing
ISSN
17551307
e-ISSN
17551315
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2560221864
Copyright
© 2017. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.