To study the impact of tidal effects on endogenous sulfur(S), iron (Fe), and nitrogen (N), as well as their possible coupling, the present work investigated the dynamic variations of endogenous S, Fe and N using a simulated heavily polluted tidal river system. In addition, Grey relational analysis (GRA) was applied to elucidate the coupling of endogenous S, Fe and N behavior. The results showed a NH4+-N reduction rate of (82.2±1.92)% and a TN reduction rate of (86.49±2.31)% for the simulated tidal system. The simulation suggested that a tidal alternation facilitated the formation of an oxic-anoxic-anaerobic microenvironment at the sediment-overlying water interface and thus stimulated the coupled nitrification-denitrification process, which was in favor of ammonium and total nitrogen removal. Grey relational analysis (GRA) showed the highest integrated grey relational grade between nitrate and reduced sulfur (0.910 5) and nitrate and iron (0.858 7) in interstitial water. The results indicated that nitrate was most affected by reduced sulfur and iron; we postulate that endogenous sulfur and iron with nitrogen might exist by sulfur-driven autotrophic denitrification or iron-driven autotrophic denitrification. This study may provide reference for treatment and restoration of heavily polluted tidal rivers.
GUAN Hui-min
,
ZHU Jin
,
HE Yan
,
HUANG Min-sheng
,
ZHOU Kun
,
ZHU Lin-lin
. Coupling of endogenous sulfur and iron with nitrogen behavior in a heavily polluted tidal river[J]. Journal of East China Normal University(Natural Science), 2018
, 2018(6)
: 88
-96
.
DOI: 10.3969/j.issn.1000-5641.2018.06.011
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