Literature DB >> 28578860

Assessment on the leakage hazard of landfill leachate using three-dimensional excitation-emission fluorescence and parallel factor analysis method.

Hongwei Pan, Hongjun Lei, Xin Liu, Huaibin Wei, Shufang Liu.   

Abstract

A large number of simple and informal landfills exist in developing countries, which pose as tremendous soil and groundwater pollution threats. Early warning and monitoring of landfill leachate pollution status is of great importance. However, there is a shortage of affordable and effective tools and methods. In this study, a soil column experiment was performed to simulate the pollution status of leachate using three-dimensional excitation-emission fluorescence (3D-EEMF) and parallel factor analysis (PARAFAC) models. Sum of squared residuals (SSR) and principal component analysis (PCA) were used to determine the optimal components for PARAFAC. A one-way analysis of variance showed that the component scores of the soil column leachate were significant influenced by landfill leachate (p<0.05). Therefore, the ratio of the component scores of the soil under the landfill to that of natural soil could be used to evaluate the leakage status of landfill leachate. Furthermore, a hazard index (HI) and a hazard evaluation standard were established. A case study of Kaifeng landfill indicated a low hazard (level 5) by the use of HI. In summation, HI is presented as a tool to evaluate landfill pollution status and for the guidance of municipal solid waste management.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Keywords:  3D-EEMF; Dissolved organic matter; Landfill leachate; Leakage hazard; Municipal solid waste; PARAFAC

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Year:  2017        PMID: 28578860     DOI: 10.1016/j.wasman.2017.05.041

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  1 in total

1.  Effects of land use/cover on surface water pollution based on remote sensing and 3D-EEM fluorescence data in the Jinghe Oasis.

Authors:  Xiaoping Wang; Fei Zhang
Journal:  Sci Rep       Date:  2018-08-30       Impact factor: 4.379

  1 in total

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