Literature DB >> 18342338

Potential use of mangroves as constructed wetland for municipal sewage treatment in Futian, Shenzhen, China.

Q Yang1, N F Y Tam, Y S Wong, T G Luan, W S Su, C Y Lan, P K S Shin, S G Cheung.   

Abstract

A pilot-scale mangrove wetland was constructed in Futian, Shenzhen for municipal sewage treatment. Three identical belts (length: 33m, width: 3m, depth: 0.5m) were filled with stone (bottom), gravel and mangrove sand (surface). Seedlings of two native mangrove species (Kandelia candel, Aegiceras corniculatum) and one exotic species (Sonneratia caseolaris) were transplanted to the belts with one species for each belt. The hydraulic loading was 5m(3)d(-1) and hydraulic retention time 3d. High levels of removal of COD, BOD(5), TN, TP and NH(3)-N were obtained. The treatment efficiency of S. caseolaris and A. corniculatum was higher than that of K. candel. Faster plant growth was obtained for S. caseolaris. The substrate in the S. caseolaris belt also showed higher enzyme activities including dehydrogenase, cellulase, phosphatase, urease and beta-glucosidase. The removal rates of organic matter and nutrients were positively correlated with plant growth. The results indicated that mangroves could be used in a constructed wetland for municipal sewage treatment, providing post-treatment to remove coliforms was also included.

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Year:  2008        PMID: 18342338     DOI: 10.1016/j.marpolbul.2008.01.037

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  9 in total

1.  Reserves as tools for alleviating impacts of marine disease.

Authors:  Joleah B Lamb; Amelia S Wenger; Michelle J Devlin; Daniela M Ceccarelli; David H Williamson; Bette L Willis
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-03-05       Impact factor: 6.237

2.  Threat of heavy metal contamination in eight mangrove plants from the Futian mangrove forest, China.

Authors:  Bei He; Ruili Li; Minwei Chai; Guoyu Qiu
Journal:  Environ Geochem Health       Date:  2013-10-02       Impact factor: 4.609

3.  Predicting fecal coliform using the interval-to-interval approach and SWAT in the Miyun watershed, China.

Authors:  Jianwen Bai; Zhenyao Shen; Tiezhu Yan; Jiali Qiu; Yangyang Li
Journal:  Environ Sci Pollut Res Int       Date:  2017-05-16       Impact factor: 4.223

4.  Heavy metal contamination in a vulnerable mangrove swamp in South China.

Authors:  Yutao Wang; Qiu Qiu; Guorong Xin; Zhongyi Yang; Jing Zheng; Zhihong Ye; Shaoshan Li
Journal:  Environ Monit Assess       Date:  2012-11-15       Impact factor: 2.513

5.  Distribution and accumulation of mercury and copper in mangrove sediments in Shenzhen, the world's most rapid urbanized city.

Authors:  Ruili Li; Hualin Xu; Minwei Chai; Guo Yu Qiu
Journal:  Environ Monit Assess       Date:  2016-01-13       Impact factor: 2.513

Review 6.  Eco-Health linkages: assessing the role of ecosystem goods and services on human health using causal criteria analysis.

Authors:  Rebeca de Jesus Crespo; Richard Fulford
Journal:  Int J Public Health       Date:  2017-08-01       Impact factor: 3.380

7.  Genome-guided and mass spectrometry investigation of natural products produced by a potential new actinobacterial strain isolated from a mangrove ecosystem in Futian, Shenzhen, China.

Authors:  Dini Hu; Cheng Gao; Chenghang Sun; Tao Jin; Guangyi Fan; Kai Meng Mok; Simon Ming-Yuen Lee
Journal:  Sci Rep       Date:  2019-01-29       Impact factor: 4.379

Review 8.  Natural treatment systems as sustainable ecotechnologies for the developing countries.

Authors:  Qaisar Mahmood; Arshid Pervez; Bibi Saima Zeb; Habiba Zaffar; Hajra Yaqoob; Muhammad Waseem; Sumera Afsheen
Journal:  Biomed Res Int       Date:  2013-06-26       Impact factor: 3.411

9.  Corrigendum to "Natural Treatment Systems as Sustainable Ecotechnologies for the Developing Countries".

Authors:  Qaisar Mahmood; Arshid Pervez; Bibi Saima Zeb; Habiba Zaffar; Hajra Yaqoob; Muhammad Waseem; Sumera Afsheen
Journal:  Biomed Res Int       Date:  2018-03-20       Impact factor: 3.411

  9 in total

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