Machine learning approach to predict the turbidity of Saki Lake, Telangana, India, using remote sensing data-Reference-Cited by-同舟云学术

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Machine learning approach to predict the turbidity of Saki Lake, Telangana, India, using remote sensing data

Published:2024-06 Issue: Volume:33 Page:101139
ISSN:2665-9174
Container-title:Measurement: Sensors
language:en
Short-container-title:Measurement: Sensors

Author:

Devi P. Durga,Mamatha G.

Publisher

Elsevier BV

Reference20 articles.

1. Physicochemical and microbial pollution of a reservoir in South India and role of bacteriophage treatment to curtail drug-resistant bacterial pollution in water;Skariyachan;Environ. Technol. Innov.,2021

2. Distribution of heavy metals in surface water of Ranipet industrial area in Tamil Nadu, India;Srinivasa;Environ. Monit. Assess.,2008

3. Multivariate analysis of trace metal levels in tannery effluents in relation to soil and water: a case study from Peshawar, Pakistan;Tariq;J. Environ. Manag.,2006

4. Satellite remote sensing for resources development;Lo;Geocarto Int.,1986

5. Constructed wetlands;Scholz;Wetl Water Pollut Control,2016

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