Literature DB >> 33848858

Different storm responses of organic carbon transported to Lake Taihu by the eutrophic Tiaoxi River, China.

Dong Liu1, Shujie Yu2, Hongtao Duan3.   

Abstract

Low-frequency high-magnitude storms can flush disproportionate amounts of terrigenous dissolved organic carbon (DOC) and particulate organic carbon (POC) into rivers during a short period. However, previous studies focused on the impacts of storms on organic carbon transport in headwater streams that are minimally influenced by human activities and are far from lakes. To better estimate the lake carbon budget and manage lake water environments, we need to understand the transport of storm-induced organic carbon into lakes by eutrophic rivers. Based on daily and hourly time-series monitoring data, this paper systematically studied the influences of storm precipitation on DOC and POC transport in the eutrophic Tiaoxi River entering Lake Taihu, the 3rd largest freshwater lake in China. The results showed that seven storms transported 59% of the annual total organic carbon into Lake Taihu in 2019, and all storms resulted in transport peaks. During the storm period on August 9-16, 2019, DOC was negatively related to the water level (r = -0.44, p < 0.05), but POC responded positively (r = 0.52, p < 0.05); allochthonous organic carbon contents were elevated, but the autochthonous components were diluted. Moreover, the storm-induced input of riverine organic carbon influenced the lake water environment across a large region, and the impacts lasted more than 10 days. These findings have important implications for accurately estimating riverine organic carbon fluxes into lakes and making better-informed decisions about when to pump drinking water from lakes.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Dissolved organic carbon; EEM-PARAFAC; Particulate organic carbon; Storm; Time-series monitoring

Year:  2021        PMID: 33848858     DOI: 10.1016/j.scitotenv.2021.146874

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  High frequency UV-Vis sensors estimate error in riverine dissolved organic carbon load estimates from grab sampling.

Authors:  J P Ritson; O Kennedy-Blundell; J Croft; M R Templeton; C E Hawkins; J M Clark; M G Evans; R E Brazier; D Smith; N J D Graham
Journal:  Environ Monit Assess       Date:  2022-09-26       Impact factor: 3.307

  1 in total

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