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Articles by A.M. Mustapha
Total Records ( 2 ) for A.M. Mustapha
  M.N. Sumardi , A.M. Mustapha , T. Lihan and F. Tangang
  The east coast of Malaysian waters is of importance because it harbors the country’s fisheries resources. Determination of its spatial and temporal variations enables understanding of the coastal waters dynamics and physical processes affecting the region. Aqua MODIS satellite data of normalized water-leaving radiance (nLw at 412, 443 and 551 nm) from January 2006 to December 2010 were processed to determine variability using the classification approach. Five spectrally defined classes were obtained to represent the coastal water characteristics based on false color images. Variability was influenced by the outflow of terrestrial water which carries the load of suspended materials into the ocean and it moved according to the northeast and southwest wind and current propagation. Empirical Orthogonal Function (EOF) analysis of nLw 551 imagery explained the variability in temporal and spatial scale. The first mode of the EOF analysis (77.38% of variance) indicated the seasonal cycle. The second mode (4.96% of variance) explained the inter-monsoon period indicating the variability between the two periods of the Northeast and Southwest monsoon in this area. The third mode (3.17% of variance) indicated the Northeast monsoon which showed high variability toward the coastal water region associated with strong wind. The fourth mode (1.91% of variance) explained the Southwest monsoon associated with weakened wind and showed spreading surface pattern further from the coastline. Understanding of this variability would greatly contribute to coastal fisheries management and planning that could provide benefits to the coastal area as well as the productivity of this region.
  A.M. Mustapha , T. Lihan and S. Saitoh
  In management of the Japanese scallop Mizuhopecten yessoensis culture, it is important to understand the phytoplankton bloom development in the coastal region of the Okhotsk Sea. Variations in food available to this benthic bivalve are a primary environmental factor affecting growth in nature. This paper determined the seasonal variability of Chlorophyll a (Chl a) at the scallop farming region in the Okhotsk Sea from 1998 to 2004 using satellite imageries. Satellite images were processed using default NASA coefficients and community-standard algorithms as implemented by Sea DAS. Spatial and temporal variation of Chl a was determined by EOF analysis. The Chl a concentration showed high seasonal and interannual variability. Peak of Chl a concentration occurred in spring followed by autumn and summer. This was evident in the Empirical Orthogonal Function (EOF) analysis. The spatial pattern of the first mode of EOF analysis of Chl a revealed intensified Chl a at the shelf and offshore areas in spring and autumn (51.8% of variance). The second mode explained 14.2% of the variance indicating enhancement of spring (April-May) Chl a pattern in the frontal area along the coast. Meanwhile, the third mode captured 9.0% of the variability demonstrating high Chl a extending seaward from the shelf area during late autumn. These seasonal variability of Chl a resulted from the variability in occurrences of physical processes associated with retreat of sea ice in spring, advection of Soya Warm Current in summer and intrusion of East Sakhalin Current in autumn.
 
 
 
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