Journals / Türkiye Su Bilimi ve Yönetimi Dergisi / 2021 / Cilt: 5 Sayı: 2

Minimizing Greenhouse Gas Emissions from a Horizontal Subsurface Flow Constructed Wetland

Pages
247–270
Publication Date
2021-07-12
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Approximately 33% of greenhouse gas emissions could be reduced if the wetland is vegetated only with Phragmites australis.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, the level of carbon dioxide, methane and nitrous oxide emissions from a horizontal subsurface flow constructed wetland were monitored and greenhouse gas emissions were estimated by using a newly developed model.
📊
Key Findings & Data:The highest level of emission was measured for nitrous oxide emission, released from Zone I in August (10,8371 kg CO2e/d).
💡
Conclusion & Impact:Approximately 33% of greenhouse gas emissions could be reduced if the wetland is vegetated only with Phragmites australis.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Horizontal subsurface flow constructed wetland · greenhouse gas emission · the effects of plants

Abstract

In this study, the level of carbon dioxide, methane and nitrous oxide emissions from a horizontal subsurface flow constructed wetland were monitored and greenhouse gas emissions were estimated by using a newly developed model. The effects of three different plant species on greenhouse gas emissions were investigated. Cyperus esculentus (Zone I), Typha latifolia (Zone II) and Phragmites australis (Zone III) were selected as the experimental species. Greenhouse gas emissions were sampled twelve times totally by using the closed chamber method between January and December. The highest level of emission was measured for nitrous oxide emission, released from Zone I in August (10,8371 kg CO2e/d). The lowest level of emission was measured for carbon dioxide emission (0,0156 kg CO2e/d) at Zone III in January. The results revealed that Cyperus esculentus has the highest greenhouse gas emission and the highest Global Warming Potential. All greenhouse gas emissions were influenced from different plant species. Phragmites australis could be used for minimizing the level of greenhouse gas emissions as it has the lowest level of greenhouse gas emission and Global Warming Potential. Finally, the possible level of greenhouse gas emission is estimated by using Monte Carlo simulation if the wetland is vegetated with only Phragmites australis. Approximately 33% of greenhouse gas emissions could be reduced if the wetland is vegetated only with Phragmites australis.

🔖

Cite This Article

Gülşen, H., Yapıcıoğlu, P. (2021). Minimizing Greenhouse Gas Emissions from a Horizontal Subsurface Flow Constructed Wetland. Türkiye Su Bilimi ve Yönetimi Dergisi, Cilt: 5 Sayı: 2, 247–270. https://doi.org/10.31807/tjwsm.899525

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (28)

  1. Abalos, D., De Deyn, G. B., Kuyper, T. W., & Van Groenigen, J. W. (2014). Plant species identity surpasses species richness as a key driver of N2O emissions from grassland. Global Change Biology, 20(1), 265-275. https://doi.org/10.1111/gcb.12350
  2. Aboobakar, A., Cartmell, E., Stephenson, T., Jones, M., Vale, P., & Dotro, G. (2013). Nitrous oxide emissions and dissolved oxygen profiling in a full-scale nitrifying activated sludge treatment plant. Water Research, 47(2), 524-534. https://doi.org/10.1016/j.watres.2012.10.004
  3. APHA (1998) Standard Methods for the Examination of Water and Wastewater. American Water Works Association/American Public Works Association/Water Environment Federation, Washington, DC, p. 1469.
  4. Büyükkamacı, N. & Karaca, G. (2017). Life cycle assessment study on polishing units for use of treated wastewater in agricultural reuse. Water Science and Technology, 76(12), 3205-3212. https://doi.org/10.2166/wst.2017.474
  5. Chang, J., Fan, X., Sun, H., Zhang, C., Song, C., Chang, S. X., et al. (2014). Plant species richness enhances nitrous oxide emissions in microcosms of constructed wetlands. Ecological Engineering, 64, 108-115. https://doi.org/10.1016/j.ecoleng.2013.12.046
  6. Chen, Q. F., Ma, J. J., Liu, J. H., Zhao, C. S., & Liu, W. (2013). Characteristics of greenhouse gas emission in the Yellow River Delta wetland. International Biodeterioration & Biodegradation, 85, 646-651. https://doi.org/10.1016/j.ibiod.2013.04.009
  7. Chiemchaisri, C., Chiemchaisri, W., Junsod, J., Threedeach, S., & Wicranarachchi, P. N. (2009). Leachate treatment and greenhouse gas emission in subsurface horizontal flow constructed wetland. Bioresource Technology, 100(16), 3808-3814. https://doi.org/10.1016/j.biortech.2008.12.028
  8. Gülşen, H. & Yapıcıoğlu, P. (2019). Greenhouse gas emission estimation for a UASB reactor in a dairy wastewater treatment plant. International Journal of Global Warming, 17(4), 373-388. https://doi.org/10.1504/IJGW.2019.099802
  9. Han, W., Luo, G., Luo, B., Yu, C., Wang, H., Chang, J., & Ge, Y. (2019). Effects of plant diversity on greenhouse gas emissions in microcosms simulating vertical constructed wetlands with high ammonium loading. Journal of Environmental Sciences, 77, 229-237. https://doi.org/10.1016/j.jes.2018.08.001
  10. Hernández, M. E., Galindo-Zetina, M., & Carlos, H. H. J. (2018). Greenhouse gas emissions and pollutant removal in treatment wetlands with ornamental plants under subtropical conditions. Ecological Engineering, 114, 88-95. https://doi.org/10.1016/j.ecoleng.2017.06.001
  11. IPCC (2006) Chapter 2: mineral industry emissions, in 2006 IPCC Guidelines for National Greenhouse Gas Inventories, ed. by Eggleston S, Buendia L, Miwa K, Ngara T and Tanabe K. Institute for Global Environmental Strategies, Hayama, Japan, pp. 1–40.
  12. IPCC (2014) Summary for policymakers and technical summary. Climate change 2014: mitigation of climate change. Working Group III contribution to the fifth assessment report of the Intergovernmental Panel on Climate Change.
  13. Kroese, D. P., Brereton, T., Taimre, T., & Botev, Z. I. (2014). Why the Monte Carlo method is so important today. Wiley Interdisciplinary Reviews: Computational Statistics, 6(6), 386-392. https://doi.org/10.1002/wics.1314
  14. Kyung, D., Kim, M., Chang, J., & Lee, W. (2015). Estimation of greenhouse gas emissions from a hybrid wastewater treatment plant. Journal of Cleaner Production, 95, 117-123. https://doi.org/10.1016/j.jclepro.2015.02.032
  15. Liu, D., Ge, Y., Chang, J., Peng, C., Gu, B., Chan, G. Y., & Wu, X. (2009). Constructed wetlands in China: recent developments and future challenges. Frontiers in Ecology and the Environment, 7(5), 261-268. https://doi.org/10.1890/070110
  16. Mander, Ü., Lõhmus, K., Teiter, S., Mauring, T., Nurk, K., & Augustin, J. (2008). Gaseous fluxes in the nitrogen and carbon budgets of subsurface flow constructed wetlands. Science of the Total Environment, 404(2-3), 343-353. https://doi.org/10.1016/j.scitotenv.2008.03.014
  17. Mander, Ü., Dotro, G., Ebie, Y., Towprayoon, S., Chiemchaisri, C., Nogueira, S. F., et al. (2014). Greenhouse gas emission in constructed wetlands for wastewater treatment: a review. Ecological Engineering, 66, 19-35. https://doi.org/10.1016/j.ecoleng.2013.12.006
  18. Martinez‐Guerra, E., Jiang, Y., Lee, G., Kokabian, B., Fast, S., Truax, D. D., et al. (2015). Wetlands for wastewater treatment. Water Environment Research, 87(10), 1095-1126. https://doi.org/10.2175/106143015X14338845155426
  19. Masuda, S., Suzuki, S., Sano, I., Li, Y. Y., & Nishimura, O. (2015). The seasonal variation of emission of greenhouse gases from a full-scale sewage treatment plant. Chemosphere, 140, 167-173. https://doi.org/10.1016/j.chemosphere.2014.09.042
  20. Metcalf & Eddy (2014) Wastewater Engineering: Treatment and Resource Recovery 5th, McGraw-Hill international Editions, New York, USA.
  21. Parravicini, V., Svardal, K., & Krampe, J. (2016). Greenhouse gas emissions from wastewater treatment plants. Energy Procedia, 97, 246-253. https://doi.org/10.1016/j.egypro.2016.10.067 Rodríguez-Caballero, A., Aymerich, I., Poch, M., & Pijuan, M. (2014). Evaluation of process conditions triggering emissions of green-house gases from a biological wastewater treatment system. Science of the Total Environment, 493, 384-391. https://doi.org/10.1016/j.scitotenv.2014.06.015
  22. Rückauf, U., Augustin, J., Russow, R., & Merbach, W. (2004). Nitrate removal from drained and reflooded fen soils affected by soil N transformation processes and plant uptake. Soil Biology and Biochemistry, 36(1), 77-90. https://doi.org/10.1016/j.soilbio.2003.08.021
  23. Søvik, A. K., & Kløve, B. (2007). Emission of N2O and CH4 from a constructed wetland in southeastern Norway. Science of the Total Environment, 380(1-3), 28-37. https://doi.org/10.1016/j.scitotenv.2006.10.007
  24. Teiter, S., & Mander, Ü. (2005). Emission of N2O, N2, CH4, and CO2 from constructed wetlands for wastewater treatment and from riparian buffer zones. Ecological Engineering, 25(5), 528-541. https://doi.org/10.1016/j.ecoleng.2005.07.011
  25. Xu, X., Zou, X., Cao, L., Zhamangulova, N., Zhao, Y., Tang, D., & Liu, D. (2014). Seasonal and spatial dynamics of greenhouse gas emissions under various vegetation covers in a coastal saline wetland in southeast China. Ecological Engineering, 73, 469-477. https://doi.org/10.1016/j.ecoleng.2005.07.011
  26. Vander Zaag, A. C., Gordon, R. J., Burton, D. L., Jamieson, R. C., & Stratton, G. W. (2010). Greenhouse gas emissions from surface flow and subsurface flow constructed wetlands treating dairy wastewater. Journal of Environmental Quality, 39(2), 460-471. https://doi.org/10.2134/jeq2009.0166
  27. Zhao, Z., Chang, J., Han, W., Wang, M., Ma, D., Du, Y. et al. (2016). Effects of plant diversity and sand particle size on methane emission and nitrogen removal in microcosms of constructed wetlands. Ecological Engineering, 95, 390-398. https://doi.org/10.1016/j.ecoleng.2016.06.047
  28. Zhang, C. B., Sun, H. Y., Ge, Y., Gu, B. J., Wang, H., & Chang, J. (2012). Plant species richness enhanced the methane emission in experimental microcosms. Atmospheric Environment, 62, 180-183. https://doi.org/10.1016/j.atmosenv.2012.08.034