Oil Spill statistics from SAR images in the North Eastern Baltic Sea ship route in 2007&amp;#x2013;2009

Anderson, Sven Axel; Raudsepp, Urmas; Uiboupin, Rivo

doi:10.1109/igarss.2010.5653222

Cited by 7 publications

(6 citation statements)

References 5 publications

(2 reference statements)

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“…4 Tallinn University of Technology (TUT) Marine Systems Institute, Akadeemia Tee 15a, 12618 Tallinn, Estonia. 5 RWTH Aachen University, Worringer Weg 1, 52074 Aachen, Germany. 6 Marine Station Plentzia (PiE), University of the Basque Country (UPV/EHU), Areatza, z/g, 48620 Plentzia, Spain.…”

Section: Fundingmentioning

confidence: 99%

“…In the Baltic Sea, the rate of oil transportation continuously increases on an annual basis, and therefore possible environmental risks should be taken into consideration [4]. Marine pollution arising from illegal oil discharges from ship tank or bilge pumping is much greater than that from spectacular ship accidents, and is mainly detected along essential navigation routes [4,5]. With regard to oil spill response activities, the description of the type, location, extent and state of oil at sea is of prime importance for predicting the trajectory of oil slicks and areas of shoreline likely to become polluted [4,6].…”

Section: Introductionmentioning

confidence: 99%

“…With regard to oil spill response activities, the description of the type, location, extent and state of oil at sea is of prime importance for predicting the trajectory of oil slicks and areas of shoreline likely to become polluted [4,6]. The detection of oil spills and the description of their location and extent is performed using remote sensing imagery (SAR data) [4,5].…”

Section: Introductionmentioning

confidence: 99%

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The EU Horizon 2020 project GRACE: integrated oil spill response actions and environmental effects

et al. 2019

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This article introduces the EU Horizon 2020 research project GRACE (Integrated oil spill response actions and environmental effects), which focuses on a holistic approach towards investigating and understanding the hazardous impact of oil spills and the environmental impacts and benefits of a suite of marine oil spill response technologies in the cold climate and ice-infested areas of the North Atlantic and the Baltic Sea. The response methods considered include mechanical collection in water and below ice, in situ burning, use of chemical dispersants, natural biodegradation, and combinations of these. The impacts of naturally and chemically dispersed oil, residues resulting from in situ burning, and non-collected oil on fish, invertebrates (e.g. mussels, crustaceans) and macro-algae are assessed by using highly sensitive biomarker methods, and specific methods for the rapid detection of the effects of oil pollution on biota are developed. By observing, monitoring and predicting oil movements in the sea through the use of novel online sensors on vessels, fixed platforms including gliders and the so-called SmartBuoys together with real-time data transfer into operational systems that help to improve the information on the location of the oil spill, situational awareness of oil spill response can be improved. Methods and findings of the project are integrated into a strategic net environmental benefit analysis tool (environment and oil spill response, EOS) for oil spill response strategy decision making in cold climates and ice-infested areas.

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Section: Fundingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The EU Horizon 2020 project GRACE: integrated oil spill response actions and environmental effects

et al. 2019

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“…OIL SPILLS Illegal oil discharges from ship tanks or bilge pumping are a serious threat to the marine and coastal environment [5]. Although the amount of oil that reaches water is smaller compared to an oil tanker accident (e.g.…”

Section: Sea Surface Temperature and Salinitymentioning

confidence: 99%

Use of earth observation data and numerical modeling in the development of marine downstream services in Estonia

Raudsepp

Uiboupin

Sipelgas

et al. 2010

2010 IEEE/OES Baltic International Symposium (BALTIC)

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The objective of the Global Monitoring for Environment and Security (GMES) is to provide, on a sustained basis, reliable and timely services related to environmental and security issues in support of public policy makers' needs. MyOcean is the implementation project of the GMES Marine Core Service (MCS), aiming at deploying the first concerted and integrated pan-European capacity for Ocean Monitoring and Forecasting (www.myocean.eu.org). MyOcean develops upgraded European capabilities for reference marine information and provides a wide range of key ocean indicators. The MCS provides information to intermediate users who combine it with other forms of information and data to provide customized downstream services for end users. The end users range from wide public to special target groups. Downstream marine services in Estonia are built on in-situ real time and near real time measurements, satellite remote sensing imagery and numerical modeling. Two-day marine forecasts for the North-Eastern Baltic Sea are produced by 3D circulation model HIROMB-EST. The downstream service portfolio consists of following items. Real time sea level observations including history and two-day forecasts on 12 locations around the Estonian coast are available in the Internet. Sea surface temperature (SST) and salinity are complimented with near real time ferry-box observations on the cross-section between Tallinn and Helsinki. During cloud free sky SST charts are produced using MODIS (Moderate Resolution Imaging Spectroradiometer) imagery for the Gulf of Finland and Gulf of Riga. Illegal oil spills are detected from SAR imagery. The drift of the slick is simulated by Seatrack-Web and potential polluters are identified combining Seatrack Web and the Automatic Identification System (AIS). The monitoring of suspended particulate matter during harbor dredging is based on MODIS and MERIS (MEdium Resolution Imaging Spectrometer) data. The laboratory analyses of water samples are used for the calibration and validation of satellite products. The in situ measurements of vertical profiles of absorption and attenuation coefficients are used to determine the profiles of particle origin, concentration and size distribution.Operational ice extent monitoring using SAR data is rather widespread. Optical remote sensing imagery from MODIS and MERIS sensors complement SAR imagery. Ice concentration maps are produced using the histogram analysis of MODIS 250 m reflectance data. This data is used for model evaluation with the purpose to get reliable ice forecast from the HIROMMB-EST model. Spectral optical remote sensing data from MERIS helps to identify different ice types.The determination of high spatial resolution marine and coastal wind from the Advanced Synthetic Aperture Radar (ASAR) is quite a novel application in the Estonian waters. Wind field data can be retrieved from ASAR C-band data and model results using CMOD algorithm.

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“…Most of the observed oil spills do not result from accidents but from intentional discharges. According to the HELCOM data for the whole Baltic Sea, data of other authors, and our own data for the southeastern Baltic Sea, oil spills are mainly located along the main shipping routes in the Baltic Sea (Figure 1) [3,[6][7][8][9][10][11][12][13][14][15][16][17]. The concentration of oil spills close to the shore in the Exclusive Economic Zone (EEZ) of Latvia is the result of aerial observations predominantly within its territorial waters [6] (Figure 1).…”

Section: Introductionmentioning

confidence: 99%

Chronic Oil Pollution from Vessels and Its Role in Background Pollution in the Southeastern Baltic Sea

Krek

Kostianoy

2021

Remote Sensing

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The results of long-term satellite monitoring of oil pollution of the sea surface in the southeastern Baltic Sea (SEB) are discussed in this paper. From June 2004 to December 2020, in total, 2780 Synthetic Aperture Radar (SAR) images from different satellites were received and analyzed. There were 788 oil spills detected in the study area. The oil spills were concentrated along the main shipping routes in the SEB. The volume of the detected oil spills was estimated. The average size of the spill was about 2 km2 or 0.8 m3. Seasonal variability of oil pollution shows a decrease in the number of oil detections in the autumn–winter period, which is associated with the prevalence of unfavorable wind conditions that limit the use of SAR technology for oil spill detection and navigation for small ships. In situ measurements show that seasonal variation in the concentration of oil products in seawater is characterized by a maximum in April and a minimum in July. Since 2007, a decrease in oil detections has been observed for the entire Baltic Sea, including the study area. The interannual variability also shows a decrease in the concentration of oil products in the water column. In the southeastern Baltic Sea, the volume of oil products released yearly to the sea surface from ships does not exceed 0.1% of the average instantaneous presence of oil products in the water column.

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Oil Spill statistics from SAR images in the North Eastern Baltic Sea ship route in 2007–2009

Cited by 7 publications

References 5 publications

The EU Horizon 2020 project GRACE: integrated oil spill response actions and environmental effects

The EU Horizon 2020 project GRACE: integrated oil spill response actions and environmental effects

Use of earth observation data and numerical modeling in the development of marine downstream services in Estonia

Chronic Oil Pollution from Vessels and Its Role in Background Pollution in the Southeastern Baltic Sea

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