Impact of salinity gradient, water pollution and land use types on greenhouse gas emissions from an urbanized estuary

被引:13
作者
Ho, Long [1 ]
Barthel, Matti [2 ]
Panique-Casso, Diego [1 ]
Vermeulen, Kaat [1 ]
Bruneel, Stijn [1 ]
Liu, Xingzhen [1 ]
Bod, Samuel [3 ]
Six, Johan [2 ]
Boeckx, Pascal [3 ]
Goethals, Peter [1 ]
机构
[1] Univ Ghent, Dept Anim Sci & Aquat Ecol, Ghent, Belgium
[2] Swiss Fed Inst Technol, Dept Environm Syst Sci, Zurich, Switzerland
[3] Univ Ghent, Dept Green Chem & Technol, Isotope Biosci Lab ISOFYS, Ghent, Belgium
关键词
Greenhouse gas; Water pollution; Estuary; Scheldt estuary; Salinity; Land use; CARBON-DIOXIDE; METHANE; FLUXES; MINERALIZATION; INTRUSION; PROTOCOL; ROLES; N2O;
D O I
10.1016/j.envpol.2023.122500
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Estuaries have been recognized as one of the major sources of greenhouse gases (GHGs) in aquatic systems; yet we still lack insights into the impact of both anthropogenic and natural factors on the dynamics of GHG emissions. Here, we assessed the spatiotemporal dynamics and underlying drivers of the GHG emissions from the Scheldt Estuary with a focus on the effects of salinity gradient, water pollution, and land use types, together with their interaction. Overall, we found a negative impact of salinity on carbon dioxide (CO2) and nitrous oxide (N2O) emissions which can be due to the decrease of both salinity and water quality when moving upstream. Stronger impact of water pollution on the GHG emissions was found at the freshwater sites upstream compared to saline sites downstream. In particular, when water quality of the sites reduced from good, mainly located in the mouth and surrounded by arable sites, to polluted, mainly located in the upstream and surrounded by urban sites, CO2 emissions from the sites doubled while N2O emissions tripled. Similarly, the effects of water pollution on methane (CH4) emissions became much stronger in the freshwater sites compared to the saline sites. These decreasing effects from upstream to the mouth were associated with the increase in urbanization as sites surrounded by urban areas released on average almost two times more CO2 and N2O than sites surrounded by nature and industry areas. Applied machine learning methods also revealed that, in addition to salinity effects, nutrient and organic enrichment stimulated the GHG emissions from the Scheldt Estuary. These findings highlight the importance of the interaction between salinity, water pollution, and land use in order to understand their influences on GHG emissions from dynamic estuarine systems.
引用
收藏
页数:12
相关论文
共 67 条
  • [61] Spatial and temporal variability in carbon dioxide and methane exchange at three coastal marshes along a salinity gradient in a northern Gulf of Mexico estuary
    Wilson, Benjamin J.
    Mortazavi, Behzad
    Kiene, Ronald P.
    [J]. BIOGEOCHEMISTRY, 2015, 123 (03) : 329 - 347
  • [62] ranger: A Fast Implementation of Random Forests for High Dimensional Data in C plus plus and R
    Wright, Marvin N.
    Ziegler, Andreas
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2017, 77 (01): : 1 - 17
  • [63] CO2 Outgassing from an Urbanized River System Fueled by Wastewater Treatment Plant Effluents
    Yoon, Tae Kyung
    Jin, Hyojin
    Begum, Most Shirina
    Kang, Namgoo
    Park, Ji-Hyung
    [J]. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2017, 51 (18) : 10459 - 10467
  • [64] What can we learn from N2O isotope data? - Analytics, processes and modelling
    Yu, Longfei
    Harris, Eliza
    Lewicka-Szczebak, Dominika
    Barthel, Matti
    Blomberg, Margareta R. A.
    Harris, Stephen J.
    Johnson, Matthew S.
    Lehmann, Moritz F.
    Liisberg, Jesper
    Mueller, Christoph
    Ostrom, Nathaniel E.
    Six, Johan
    Toyoda, Sakae
    Yoshida, Naohiro
    Mohn, Joachim
    [J]. RAPID COMMUNICATIONS IN MASS SPECTROMETRY, 2020, 34 (20)
  • [65] Zheng Y, 2022, Global Methane and Nitrous Oxide Emissions from Inland Waters and Estuaries
  • [66] A protocol for conducting and presenting results of regression-type analyses
    Zuur, Alain F.
    Ieno, Elena N.
    [J]. METHODS IN ECOLOGY AND EVOLUTION, 2016, 7 (06): : 636 - 645
  • [67] A protocol for data exploration to avoid common statistical problems
    Zuur, Alain F.
    Ieno, Elena N.
    Elphick, Chris S.
    [J]. METHODS IN ECOLOGY AND EVOLUTION, 2010, 1 (01): : 3 - 14