Evolutionary Computation to Implement an IoT-Based System for Water Pollution Detection

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Claudio De Stefano ◽  
Luigi Ferrigno ◽  
Francesco Fontanella ◽  
Luca Gerevini ◽  
Mario Molinara
Keyword(s):  
Water Pollution ◽  
Evolutionary Computation ◽  
Pollution Detection

Water Pollution Detection in Acapulco Coasts Using Merged Data from the Sentinel-2 and Sentinel-3 Satellites

2021 ◽  
Author(s):  
Roberto Lomeli-Huerta ◽  
Himer Avila-George ◽  
Juan Pablo Rivera-Caicedo ◽  
Miguel De-la-Torre
Keyword(s):  
Water Pollution ◽  
Pollution Detection ◽  
Sentinel 2

scholarly journals Development of the MOOSY4 eNose IoT for Sulphur-Based VOC Water Pollution Detection

Sensors ◽  
2017 ◽  
Vol 17 (8) ◽  
pp. 1917 ◽  
Author(s):  
Enric Climent ◽  
Jose Pelegri-Sebastia ◽  
Tomas Sogorb ◽  
J. Talens ◽  
Jose Chilo
Keyword(s):  
Water Pollution ◽  
Pollution Detection

scholarly journals Water Pollution Detection System Based on Fish Gills as a Biomarker

2015 ◽  
Vol 65 ◽  
pp. 601-611 ◽  
Author(s):  
Asmaa Hashem Sweidan ◽  
Nashwa El-Bendary ◽  
Osman Mohammed Hegazy ◽  
Aboul Ella Hassanien ◽  
Vaclav Snasel
Keyword(s):  
Water Pollution ◽  
Detection System ◽  
Fish Gills ◽  
Pollution Detection

scholarly journals Water Pollution Detection Based on Hypothesis Testing in Sensor Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Xu Luo ◽  
Jun Yang
Keyword(s):  
Water Pollution ◽  
Sensor Networks ◽  
Hypothesis Testing ◽  
Water Conservation ◽  
Detection Methods ◽  
Specific Detection ◽  
Detection Algorithms ◽  
Testing Theory ◽  
Pollution Detection

Water pollution detection is of great importance in water conservation. In this paper, the water pollution detection problems of the network and of the node in sensor networks are discussed. The detection problems in both cases of the distribution of the monitoring noise being normal and nonnormal are considered. The pollution detection problems are analyzed based on hypothesis testing theory firstly; then, the specific detection algorithms are given. Finally, two implementation examples are given to illustrate how the proposed detection methods are used in the water pollution detection in sensor networks and prove the effectiveness of the proposed detection methods.

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