Evaluation of water quality based on a machine learning algorithm and water quality index for the Ebinur Lake Watershed, China
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-017-12853-y.pdf
Reference59 articles.
1. Coble, P. G., Green, S. A., Blough, N. V. & Gagosian, R. B. Characterization of dissolved organic matter in the Black Sea by fluorescence spectroscopy. Nature 348(6300), 432–435 (1990).
2. Gudasz, C. et al. Temperature-controlled organic carbon mineralization in lake sediments. Nature 466(7305), 478–81 (2010).
3. Finlay, J. C., Small, G. E. & Sterner, R. W. Human Influences on Nitrogen Removal in Lakes. Science 342, 247–250 (2013).
4. Li, J., Liu, Z., He, C., Yue, H. & Gou, S. Water shortages raised a legitimate concern over the sustainable development of the drylands of northern china: evidence from the water stress index. Science of the Total Environment. 590-591, 739–750 (2017).
5. Amitrano, D. et al. Sentinel-1 for Monitoring Reservoirs: A Performance Analysis. Remote Sens. 6, 10676–10693 (2014).
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