Literature DB >> 31965344

Estimating low eroded sediment concentrations by turbidity and spectral characteristics based on a laboratory experiment.

Xiuquan Xu1, Haoming Fan2, Xiaoyu Chen1, Caihong Mi1.   

Abstract

Automatic and real-time monitoring of sediment concentrations in eroded runoff is an effective way to accurately assess soil erosion process on slopes. It is assumed that low sediment concentrations could be inferred from turbidity and spectral characteristics, which are two simple and economical observation methods, and the soil properties would affect this kind of measurements. Four kinds of soil are used to obtain water samples with low sediment concentrations (0.1-10 mg/L), namely, black soil (BS), albic soil (AS), cinnamon soil (CS), and brown soil (BRS). The turbidity and spectral characteristics of the samples are measured to evaluate the relationships by calibration and validation between sediment concentrations and turbidity (method 1), sediment concentrations and reflectance with several transformations (method 2), and sediment concentrations and both indicators (method 3). The influences of soil properties on these relationships are also discussed. The linear relationship between sediment concentrations and turbidity is significant in each sample (method 1). Method 2 has a lower accuracy than method 1, in which the obtained characteristic bands and fitting models are different among samples, with a poor result for BS samples and acceptable results for the other samples. Overall, method 3 has the highest accuracy. The order of simulation accuracy from high to low is generally BS > AS > BRS > CS. The influences of soil properties are obvious and various. The effects of soil median diameter (d50) and specific surface area (SSA) on turbidity coefficients and characteristic spectral bands are not significant, but the soil organic matter (SOC) contents are. The results indicate that measurement of sediment concentration within low ranges by both turbidity and spectroscopic techniques has good accuracy in method 3, and different samples should be calibrated in application due to the effects of various soil properties.

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Keywords:  Characteristic bands; Soil properties; Spectral reflectance; Spectral transformation

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Year:  2020        PMID: 31965344     DOI: 10.1007/s10661-020-8092-x

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  3 in total

1.  Estimation of suspended sediment concentration from turbidity measurements using artificial neural networks.

Authors:  Adem Bayram; Murat Kankal; Hizir Onsoy
Journal:  Environ Monit Assess       Date:  2011-08-04       Impact factor: 2.513

2.  Molecular diversity of riverine alkaline-extractable sediment organic matter and its linkages with spectral indicators and molecular size distributions.

Authors:  Wei He; Meilian Chen; Jae-Eun Park; Jin Hur
Journal:  Water Res       Date:  2016-05-09       Impact factor: 11.236

3.  Spatial and temporal variation in suspended sediment, organic matter, and turbidity in a Minnesota prairie river: implications for TMDLs.

Authors:  Christian F Lenhart; Kenneth N Brooks; Daniel Heneley; Joseph A Magner
Journal:  Environ Monit Assess       Date:  2009-05-13       Impact factor: 2.513

  3 in total

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