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Journal of Chemistry
Volume 2017, Article ID 8175631, 19 pages
https://doi.org/10.1155/2017/8175631
Research Article

Understanding the Spatial Heterogeneity of CO2 and CH4 Fluxes from an Urban Shallow Lake: Correlations with Environmental Factors

1Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education, College of Environment, Hohai University, Nanjing, Jiangsu 210098, China
2Department of Plant, Soil, and Microbial Sciences, Michigan State University, East Lansing, MI 48824, USA
3School of Earth Sciences and Engineering, Nanjing University, Nanjing 210093, China

Correspondence should be addressed to Zhenhua Zhao; moc.621@0004hzz

Received 19 May 2017; Revised 9 September 2017; Accepted 12 October 2017; Published 19 November 2017

Academic Editor: Davide Vione

Copyright © 2017 Zhenhua Zhao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The spatial variability of carbon dioxide (CO2) and methane (CH4) fluxes across water-air interface in Xuanwu Lake was investigated in two seasons. Due to anthropogenic disturbances, the environmental factors and the fluxes of CO2 and CH4 in lake showed obvious spatial and seasonal variability; their average fluxes in summer are significantly higher than those in autumn. The fluxes in heavy pollution sites with high concentrations of nitrogen and phosphorus nutrient in summer were 3.9 times (142.14 : 36.07 mg·m−2·h−1) for CO2 and 22.3 times for CH4 (6.46 : 0.29) higher than those in little pollution sites. In autumn, they were 12.3 times and 7.1 times higher, respectively. Anthropogenic disturbance and heavy pollution increased their fluxes, but aquatic plants reduced the emission of CO2. Except the sampling site with flourishing lotus, most of sampling sites without aquatic plant are the emission source of CO2 and CH4. The correlation analysis, multiple stepwise regression, and redundancy analysis showed the key environmental factors for CO2 including temperature (T), pH, chemical oxygen demand () in water, organic matter (OM), total nitrogen, and ammonia nitrogen in water and sediment. As for CH4, the key environmental factors include turbidity, oxidation-reduction potential, dissolved oxygen, , and T in water and OM and N- in sediment.