Modelling of oil spill frequency, leak sources and contamination probability in the Caspian Sea using multi-temporal SAR images 2006–2010 and stochastic modelling

Bayramov, Emil; Buchroithner, Manfred

doi:10.1080/19475705.2015.1007536

Geomatics, Natural Hazards and Risk

2015

DOI: 10.1080/19475705.2015.1007536

|View full text |Cite

Modelling of oil spill frequency, leak sources and contamination probability in the Caspian Sea using multi-temporal SAR images 2006–2010 and stochastic modelling

Emil Bayramov¹,

Manfred Buchroithner²

Abstract: The main goal of this research was to detect oil spills, to determine the oil spill frequencies and to approximate oil leak sources around the Oil Rocks Settlement, the Chilov and Pirallahi Islands in the Caspian Sea using 136 multi-temporal ENVISAT Advanced Synthetic Aperture Radar Wide Swath Medium Resolution images acquired during 2006À2010. The following oil spill frequencies were observed around the Oil Rocks Settlement, the Chilov and Pirallahi Islands: 2À10 (3471.04 sq km), 11À20 (971.66 sq km), 21À50 (… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2020

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 29 publications

(36 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The multi-temporal ENVISAT Advanced Synthetic Aperture Radar Wide Swath Medium Resolution images have provided oil-spill frequencies and approximate oil-leak sources around the Oil Rocks Settlement around Chilov and Pirallahi Islands in the Caspian Sea (Bayramov and Buchroithner 2016). Detailed image analysis revealed that the spatiotemporal patterns of the currents in the Caspian Sea depend on the wind control and the multi-directional spatial distribution of oil spills around the Oil Rocks Settlement in the Islands.…”

mentioning

confidence: 99%

Earth observation and sustainable development goals

Singh

2020

Geomatics, Natural Hazards and Risk

View full text Add to dashboard Cite

Planet Earth is a dynamic body, which is home to 7.8 billion people, and strong interactions exist between the human population and the Earth's different components (land, ocean, biosphere, cryosphere and atmosphere). The impacts of such interactions are observed from the day-today changes in weather, solar radiation, cloudy conditions, poor visibility, rainfall and frequency of natural hazards around the globe. The dynamic nature of the Earth is evident at the ocean coast through the ocean waves, the nature of these waves varies from day-today and also morning to evening. For example, the heights of waves can now be predicted through ocean modelling studies, which requires input from ground and satellite data. The Earth's components, the lithosphere, hydrosphere, cryosphere and biosphere, interact closely with the human population (Figure 1). As a result, changes may not be visualized on a day-today basis; however, short-and long-term changes can be observed by using various Earth-observation systems. Over the years, the Earth has become more complex, due to strong interactions between the various components of the Earth's systems and the influence of population living and interacting closely. Such interactions lead to degradation of the environment and to the depletion of resources, raise question of sustainability and pose a threat for our survival on Earth. This calls for the attention of all section of scientists to understand interaction, which is a challenging job in this complex system of systems. This also calls the attention of everyone on this Earth planet. The population is increasing, and the projection is that in the next three decades, the carrying capacity of the Earth will become saturated. We all learn how to take care of our babies, how to monitor their growth. We learn 'remote sensing' using 'cameras', to take daily, weekly, monthly and yearly photos and compare the changes of the baby. Similarly, scientists, use observations at different platforms to monitor various components of the Earth at spatial and temporal scales. Over the last three decades, different types of observing systems have been placed on the land and ocean around the globe; multi-sensor satellites orbit the globe. The observing systems provide real-time data, which are being used to forecast extreme weather events, cyclones/typhoons/hurricanes and other kinds of natural disaster that help to provide an alert to people who will be affected by an event. In the year 1900, the Galveston hurricane took lives of 10,000 people because there was no observing system (Singh, 2017). Now, the use of real-time data from observing system allow for people are evacuated, and lives are saved. Every year, many parts of the world suffer with extreme precipitation causing floods. People in the affected areas are trapped

show abstract

mentioning

confidence: 99%

Earth observation and sustainable development goals

Singh

2020

Geomatics, Natural Hazards and Risk

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Modelling of oil spill frequency, leak sources and contamination probability in the Caspian Sea using multi-temporal SAR images 2006–2010 and stochastic modelling

Cited by 1 publication

References 29 publications

Earth observation and sustainable development goals

Earth observation and sustainable development goals

Contact Info

Product

Resources

About