Oil pollution monitoring in the Lagoon of Venice using the mussel Mytilus galloprovincialis

1974 ◽  
Vol 25 (1) ◽  
pp. 1-6 ◽  
Author(s):  
V. U. Fossato ◽  
E. Siviero
Keyword(s):  
Mytilus Galloprovincialis ◽  
Oil Pollution ◽  
Pollution Monitoring ◽  
Lagoon Of Venice

scholarly journals Development of the Artificial Intelligence and Optical Sensing Methods for Oil Pollution Monitoring of the Sea by Drones

2021 ◽  
Vol 11 (8) ◽  
pp. 3642
Author(s):  
Oleg Bukin ◽  
Dmitry Proschenko ◽  
Denis Korovetskiy ◽  
Alexey Chekhlenok ◽  
Viktoria Yurchik ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Autonomous Navigation ◽  
Oil Pollution ◽  
Optical Sensing ◽  
Movement Control ◽  
Oil Products ◽  
Sea Surface ◽  
Pollution Monitoring ◽  
Monitoring Methods ◽  
Marine Fuel

The oil pollution of seas is increasing, especially in local areas, such as ports, roadsteads of the vessels, and bunkering zones. Today, methods of monitoring seawater are costly and applicable only in the case of big ecology disasters. The development of an operative and reasonable project for monitoring the sea surface for oil slick detection is described in this article using drones equipped with optical sensing and artificial intelligence. The monitoring system is implemented in the form of separate hard and soft frameworks (HSFWs) that combine monitoring methods, hardware, and software. Three frameworks are combined to fulfill the entire monitoring mission. HSFW1 performs the function of autonomous monitoring of thin oil slicks on the sea surface, using computer vision with AI elements for detection, segmentation, and classification of thin slicks. HSFW2 is based on the use of laser-induced fluorescence (LIF) to identify types of oil products that form a slick or that are in a dissolved state, as well as measure their concentration in solution. HSFW3 is designed for autonomous navigation and drone movement control. This article describes AI elements and hardware complexes of the three separate frameworks designed to solve the problems with monitoring slicks of oil products on the sea surface and oil products dissolved in seawater. The results of testing the HSFWs for the detection of pollution caused by marine fuel slicks are described.

scholarly journals Bioindication of the Influence of Oil Production on Sphagnum Bogs in the Khanty-Mansiysk Autonomous Okrug–Yugra, Russia

Diversity ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 207
Author(s):  
Olga Skorobogatova ◽  
Elvira Yumagulova ◽  
Tatiana Storchak ◽  
Sophia Barinova
Keyword(s):  
Species Richness ◽  
Oil Pollution ◽  
Organic Pollution ◽  
Control Site ◽  
Oil Field ◽  
Pollution Monitoring ◽  
Rehabilitation Period ◽  
Scientific Results ◽  
First Time ◽  
Contaminated Area

Algal diversity in the bogs of the Ershov oil field of the Khanty-Mansiysk Autonomous Okrug–Yugra (KMAO-Yugra) with the gradient of oil pollution between 255 and 16,893 mg kg−1 has been studied with the help of bioindication methods and ecological mapping. Altogether 91 species, varieties, and forms of algae and cyanobacteria from seven divisions have been revealed for the first time from seven studied sites on the bogs. Charophyta algae prevail followed by diatoms, cyanobacteria, and euglenoids. The species richness and abundance of algae were maximal at the control site, with charophytic algae prevailing. The species richness of diatoms decreased in the contaminated area, but cyanobacteria were tolerated in a pH which varied between 4.0 and 5.4. Euglenoid algae survived under the influence of oil and organic pollution. Bioindication revealed a salinity influence in the oil-contaminated sites. A comparative floristic analysis shows a similarity in communities at sites surrounding the contaminated area, the ecosystems of which have a long-term rehabilitation period. The percent of unique species was maximal in the control site. Bioindication results were implemented for the first time in assessing the oil-polluted bogs and can be recommended as a method to obtain scientific results visualization for decision-makers and for future pollution monitoring.

Towards an operational use of space imagery for oil pollution monitoring in the Mediterranean basin: A demonstration in the Adriatic Sea

2007 ◽  
Vol 54 (4) ◽  
pp. 403-422 ◽  
Author(s):  
Guido Ferraro ◽  
Annalia Bernardini ◽  
Matej David ◽  
Serge Meyer-Roux ◽  
Oliver Muellenhoff ◽  
...  
Keyword(s):  
Mediterranean Basin ◽  
Adriatic Sea ◽  
Oil Pollution ◽  
Pollution Monitoring ◽  
Use Of Space ◽  
Space Imagery ◽  
The Mediterranean ◽  
The Mediterranean Basin
Sign in / Sign up

Export Citation Format

Share Document