Concentrations and mass fluxes estimation of organochlorine pesticides in Three Gorges Reservoir with virtual organisms using in situ PRC-based sampling rate

Cedrique Temoka, Jingxian Wang, Yonghong Bi, Dominik Deyerling, Gerd Pfister, Bernhard Henkelmann, Karl Werner Schramm

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Organochlorine pesticides (OCP) are widely distributed environmental pollutants. Due to their persistence and toxicity, it is important to know their fluxes and spatial and temporal distribution in the environment. In this study, a new procedure to estimate OCP concentration based on a set of performance reference compounds (PRCs) was used. Their occurrence and mass fluxes were assessed on a regional scale ranging from Chonqging to Maoping in Three Gorges Reservoir (TGR) as part of Yangtze River. The results are based on three sampling campaigns in 2009 (twice) and 2011. Due to different factors, the measured concentrations varied from 410 to 1418 pg/L. The highest total OCP concentration was localized in Wanzhou while the lowest was downstream Maoping near the Three Gorges Dam (TGD). The highest load of OCP mass fluxes was observed at Wanhzou with 9.6 mg/s and the lowest load at Maoping with 2.97 mg/s. Studies at Maoping show an increase in OCP water concentration from 2009 to 2012. Comparison between free dissolved OCP water concentration and total OCP water concentration in TGR 2009, 2011 and 2012 show a slight variation, indicating the important role of dilution in the OCP removal process in TGR.

Original languageEnglish
Pages (from-to)1521-1529
Number of pages9
JournalChemosphere
Volume144
DOIs
StatePublished - 1 Feb 2016

Keywords

  • Depth profile
  • Mass fluxes
  • Organochlorine pesticides (OCP)
  • SPMD
  • Sampling rate equation
  • Spatial distribution
  • Suspended particles
  • Virtual organisms (VO)

Fingerprint

Dive into the research topics of 'Concentrations and mass fluxes estimation of organochlorine pesticides in Three Gorges Reservoir with virtual organisms using in situ PRC-based sampling rate'. Together they form a unique fingerprint.

Cite this