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Factors influencing streambed hydraulic conductivity and their implications on stream-aquifer interaction: a conceptual review.
Environ Sci Pollut Res Int. 2017 Nov;24(32):24765-24789. doi: 10.1007/s11356-017-0393-4. Epub 2017 Oct 7.
Environ Sci Pollut Res Int. 2017.
PMID: 28988330
Review.
Spatio-temporal classification and prediction of land use and land cover change for the Vembanad Lake system, Kerala: a machine learning approach.
Kulithalai Shiyam Sundar P, Deka PC.
Kulithalai Shiyam Sundar P, et al. Among authors: deka pc.
Environ Sci Pollut Res Int. 2022 Dec;29(57):86220-86236. doi: 10.1007/s11356-021-17257-0. Epub 2021 Nov 12.
Environ Sci Pollut Res Int. 2022.
PMID: 34767164
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Spatial and temporal variations in river water quality of the Middle Ganga Basin using unsupervised machine learning techniques.
Krishnaraj A, Deka PC.
Krishnaraj A, et al. Among authors: deka pc.
Environ Monit Assess. 2020 Nov 3;192(12):744. doi: 10.1007/s10661-020-08624-4.
Environ Monit Assess. 2020.
PMID: 33141352
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WITHDRAWN: Significance of streambed hydraulic conductivity in stream-aquifer interaction - A systematic review of fundamentals and recent research.
Sujay RN, Deka PC, Sudheer C.
Sujay RN, et al. Among authors: deka pc.
Sci Total Environ. 2017 Feb 1;578:256. doi: 10.1016/j.scitotenv.2016.08.050. Epub 2016 Aug 10.
Sci Total Environ. 2017.
PMID: 27522285
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