2020
DOI: 10.1016/j.jhydrol.2020.125570
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Spectroscopic indices trace spatiotemporal variability of dissolved organic matter in a river system with Karst characteristic

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Cited by 30 publications
(10 citation statements)
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“…After treatment by the PCW system, it was observed that the seventh-day surface water sample exhibited visibly lower BIX and FI than the first-day samples, as shown in Figure S6, which demonstrated that the removal mechanism for different HCAPs addition of water samples was also related to microbial activity. 70 Hence, three primary factors were mainly responsible for the sharp decrease in NH 4 + -N, NO 3 − -N, and TN of surface water in the PCW. First, N was taken up by rice plants and accumulated in the shoots of rice plants.…”
Section: ■ Results and Discussionmentioning
confidence: 94%
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“…After treatment by the PCW system, it was observed that the seventh-day surface water sample exhibited visibly lower BIX and FI than the first-day samples, as shown in Figure S6, which demonstrated that the removal mechanism for different HCAPs addition of water samples was also related to microbial activity. 70 Hence, three primary factors were mainly responsible for the sharp decrease in NH 4 + -N, NO 3 − -N, and TN of surface water in the PCW. First, N was taken up by rice plants and accumulated in the shoots of rice plants.…”
Section: ■ Results and Discussionmentioning
confidence: 94%
“…Similarly, the FI for the first surface water samples was greater than 1.9 in Figure S6, indicating strong microbial activity in the first water samples. After treatment by the PCW system, it was observed that the seventh-day surface water sample exhibited visibly lower BIX and FI than the first-day samples, as shown in Figure S6, which demonstrated that the removal mechanism for different HCAPs addition of water samples was also related to microbial activity …”
Section: Results and Discussionmentioning
confidence: 99%
“…Our data support this concept, as the primary predictors of DOM characteristics (land use and stream order) explained less of the variation in DOM during the driest months of the year. Dry periods are characterized by long water residence time, shortened longitudinal transport per unit time, less lateral hydrological connectivity with terrestrial and anthropogenic DOM sources, and a greater contribution of groundwater sources. ,, Our results support the conclusion that these physical drivers have important implications for DOM quality, providing further support for the general principle that DOM quality can be significantly altered by in-stream processes. First, during the driest months of August and September, only 12.4–14.5% of variation in DOM was explained, and it was exclusively attributed to land use.…”
Section: Discussionmentioning
confidence: 91%
“…Three-dimensional fluorescence spectroscopy combined with parallel factor analysis can decipher the fluorescence information of AOM and better probe the composition and differences of AOM (Li et al, 2020). Phytoplankton discovered downstream of karst rivers produce a large amount of organic matter with the increase in the fluorescence index (Ni et al, 2020).…”
Section: Introductionmentioning
confidence: 99%