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Research Article
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Online Evaluation of Water Quality by Mid-infrared Spectroscopy in River Network Areas of Suzhou City
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Ligang Fang,
Jinxiang Li,
Zhaobin Liu,
Changbo Tang
and
Zhu Liang
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ABSTRACT
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Fifty typical stations were selected to measure mid-infrared
spectroscopy in the river network areas of Suzhou city, on November 23, 2009
and five water quality parameters were analyzed for every measured station,
including Total Phosphorous (TP), Total Nitrogen (TN), K, Mg and Cu. The correlations
between the water quality parameters and spectral reflectance were analyzed.
The single band, multiple linear regression and synergy interval partial least
squares (SiPLS) models were built based on reflectance. The results show that,
for TN and TP, the SiPLS models have the smallest RMSE and TN and TP can be
detected efficiently by in situ mid-infrared spectral analysis (r>0.76).
For the prediction of K, Mg, the results indicate that the optimal method is
with the single band models of the reflectance and the concentration derived
from the single band models are strongly correlated with the measured concentration
(r>0.79). The study indicated that the water quality parameters can be monitored
by mid-infrared spectroscopy technology, which would provide the water supply
and conservancy authorities with referenced spatial information to manage water
resources.
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REFERENCES |
1: Qian, Y. and P. He, 2009. Analysis of water environment variation in the Taihu Lake Basin. Yangtze River, 40: 40-43.
2: Watanabe, M., 1994. Production and Poison of Blue-Green Algae. University of Tokyo Press, Tokyo.
3: Kang, J., X. Gu, J. Tang and L. Wang, 2010. Simultaneous quantified analysis of wine by mid-infrared reflectance spectrometry and partial least square. Chinese J. Spectroscopy Lab., 27: 789-797.
4: Lin, F., Z. Chen, J. Deng and K. Wang, 2009. Determination of leaf nitrogen in rice using FTIR spectroscopy. Plant Nutr. Fertilizer Sci., 15: 750-755. Direct Link |
5: Shen, F., Y. Ying, Q. Sun and J. Hu, 2009. Determination of total sugar content in chinese rice wine by mid-infrared spectroscopy. Trans. Chinese Soc. Agric. Mach., 40: 143-145. Direct Link |
6: Feng, Y., X. Gu, J. Tang and S. Cheng, 2007. Discrimination of tea varieties by mid-infrared spectroscopy combined with pattern recognition. J. Food Sci. Biotechnol., 26: 7-11.
7: Kroon, H., 1993. Determination of nitrogen in water: Comparison of a continuous-flow method with on-line UV digestion with the original Kjeldahl method. Anal. Chim. Acta, 276: 287-293. CrossRef | Direct Link |
8: ISO/DIS 15681, 2003. Water quality: Determination of orthophosphate and total phosphorus contents by flow analysis (FIA and CFA)-Part 2: Method by Continuous Flow Analysis (CFA). http://www.iso.org/iso/catalogue_detail.htm?csnumber=35051.
9: Naes, T. and B.H. Mevik, 2001. Understanding the collinearity problem in regression and discriminant analysis. J. Chemometrics, 15: 413-426. CrossRef | Direct Link |
10: Zhang, L., L.M. Zhang, Y. Li, B.P. Liu, X.F. Wang and J.D. Wang, 2005. Application and improvement of partial-least-squares in fourier transform infrared spectroscopy. Spectroscopy Spectral Anal., 25: 1610-1613. PubMed |
11: Chen, Q., J. Zhao, M. Liu, J. Cai and J. Liu, 2008. Determination of total polyphenols content in green tea using FT-NIR spectroscopy and different PLS algorithms. J. Pharm. Biomed. Anal., 46: 568-573. CrossRef |
12: Norgaard, L. and R. Leardi, 2005. iToolbox manual: Important notes on the iToolbox for MATLAB. MATLAB, April 2005, USA.
13: Shao, Y., Y. Bao and Y. He, 2011. Visible/near-infrared spectra for linear and nonlinear calibrations: A case to predict soluble solids contents and pH value in peach. Food Bioprocess Technol., 4: 1376-1383. CrossRef | Direct Link |
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