Literature DB >> 23732192

Geochemical baseline level and function and contamination of phosphorus in Liao River Watershed sediments of China.

Shaoqing Liu1, Jing Wang, Chunye Lin, Mengchang He, Xitao Liu.   

Abstract

The quantitative assessment of P contamination in sediments is a challenge due to sediment heterogeneity and the lacking of geochemical background or baseline levels. In this study, a procedure was proposed to determine the average P background level and P geochemical baseline level (GBL) and develop P geochemical baseline functions (GBF) for riverbed sediments of the Liao River Watershed (LRW). The LRW has two river systems - the Liao River System (LRS) and the Daliao River System (DRS). Eighty-eight samples were collected and analyzed for P, Al, Fe, Ca, organic matter, pH, and texture. The results show that Fe can be used as a better particle-size proxy to construct the GBF of P (P (mg/kg) = 39.98 + 166.19 × Fe (%), R(2) = 0.835, n = 66). The GBL of P was 675 mg/kg, while the average background level of P was 355 mg/kg. Noting that many large cities are located in the DRS watershed, most of the contaminated sites were located within the DRS and the riverbed sediments were more contaminated by P in the DRS watershed than in the LRS watershed. The geochemical background and baseline information of P are of great importance in managing P levels within the LRW.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Background; Baseline; Contamination; Normalization; Phosphorus; Sediment

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Year:  2013        PMID: 23732192     DOI: 10.1016/j.jenvman.2013.05.012

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  1 in total

1.  Impacts from Land Use Pattern on Spatial Distribution of Cultivated Soil Heavy Metal Pollution in Typical Rural-Urban Fringe of Northeast China.

Authors:  Wenbo Li; Dongyan Wang; Qing Wang; Shuhan Liu; Yuanli Zhu; Wenjun Wu
Journal:  Int J Environ Res Public Health       Date:  2017-03-22       Impact factor: 3.390

  1 in total

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