Monitoring of ocean surface algal blooms in coastal and oceanic waters around India
Autor: | T. Suresh, Palanisamy Shanmugam, Muniyandi Tholkapiyan |
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Jazyk: | angličtina |
Rok vydání: | 2014 |
Předmět: |
Oceans and Seas
Climate change India Wind Management Monitoring Policy and Law Monsoon Algal bloom Arid regions Meteorological problems Mixing NASA Radiometers Remote sensing Spatial distribution Surface waters Time series Algal blooms Atmospheric depositions Climate change scenarios Hydrographic changes Meteorological condition MODIS-Aqua Sea-surface height anomalies Strong seasonal pattern Nutrients algal bloom Aqua (satellite) biomonitoring climate change coastal current coastal water growth MODIS nutrient cycling remote sensing sea surface sea surface height spatial distribution vertical mixing algal growth article atmospheric deposition coastal waters cooling environmental monitoring environmental parameters meteorological phenomena nonhuman Oman physical phenomena precipitation sea seasonal variation Sri Lanka summer time series analysis wind winter Arabian Sea Bay of Bengal Indian Ocean algae Ecosystem Environmental Monitoring Eutrophication Microalgae Seasons United States Convective mixing General Environmental Science General Medicine Sea-surface height Pollution Oceanography Climatology Environmental science Upwelling Indian Ocean Dipole |
Zdroj: | IndraStra Global. |
ISSN: | 2381-3652 |
Popis: | The National Aeronautics and Space Administration's (NASA) sensor MODIS-Aqua provides an important tool for reliable observations of the changing ocean surface algal bloom paradigms in coastal and oceanic waters around India. A time series of the MODIS-Aqua-derived OSABI (ocean surface algal bloom index) and its seasonal composite images report new information and comprehensive pictures of these blooms and their evolution stages in a wide variety of events occurred at different times of the years from 2003 to 2011, providing the first large area survey of such phenomena around India. For most of the years, the results show a strong seasonal pattern of surface algal blooms elucidated by certain physical and meteorological conditions. The extent of these blooms reaches a maximum in winter (November-February) and a minimum in summer (June-September), especially in the northern Arabian Sea. Their spatial distribution and retention period are also significantly increased in the recent years. The increased spatial distribution and intensity of these blooms in the northern Arabian Sea in winter are likely caused by enhanced cooling, increased convective mixing, favorable winds, and atmospheric deposition of the mineral aerosols (from surrounding deserts) of the post-southwest monsoon period. The southward Oman coastal current and southwestward winds become apparently responsible for their extension up to the central Arabian Sea. Strong upwelling along this coast further triggers their initiation and growth. Though there is a warming condition associated with increased sea surface height anomalies along the coasts of India and Sri Lanka in winter, surface algal bloom patches are still persistent along these coasts due to northeast monsoonal winds, enhanced precipitation, and subsequent nutrient enrichment in these areas. The occurrence of the surface algal blooms in the northern Bay of Bengal coincides with a region of the well-known Ganges-Brahmaputra Estuarine Frontal (GBEF) system, which increases supply of nutrients in addition to the land-derived inputs triggering surface algal blooms in this region. Low density (initiation stage) of such blooms observed in clear oceanic waters southeast and northeast of Sri Lanka may be caused by the vertical mixing processes (strong monsoonal winds) and the occurrence of Indian Ocean Dipole events. Findings based on the analyses of time series satellite data indicate that the new information on surface algal blooms will have important bearing on regional fisheries, ecosystem and environmental studies, and implications of climate change scenarios. � 2014 Springer International Publishing. |
Databáze: | OpenAIRE |
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