Impact Factor: 1.5
5-Year Impact Factor: 1.4
CiteScore: 3.1
UN SDG
Turkish Journal of Fisheries and Aquatic Sciences 2015, Vol 15, Num, 4     (Pages: 923-930)

Indicator Based Ecological Health Analysis Using Chlorophyll and Sea Surface Temperature Along with Fish Catch Data off Mumbai Coast

Samee Azmi 1 ,Yogesh Agarwadkar 1 ,Mohor Bhattacharya 1 ,Mugdha Apte 1 ,Arun Inamdar 1

1 Indian Institute of Technology, Coastal and Marine Research Laboratory, CSRE, Bombay, Mumbai, India DOI : 10.4194/1303-2712-v15_4_16 Viewed : 5193 - Downloaded : 4162 The dense population of the metropolis Mumbai, exerts a lot of stress on the overall ecosystem including coastal zones.Authors have attempted to study the coastal ecosystem health using long term chlorophyll-a and Sea Surface temperature (SST) trends from 2003-2012. Remotely sensed data has been used for this study because of its provenadvantages. MODIS data has been used to estimate the chlorophyll-a and SST trends. Fish catch data is plotted and its correlation using Pearson Correlation technique is used for Chlorophyll and SST data around Mumbai.
The study area has been divided into zones based on the variations observed during field visits in the ambient water conditions; these zones are 0-15 km, 15-30 km and 0-30 km zones. In the 0-15 km zone, Pearson correlation coefficient for chlorophyll-a with fish catch data was found to be 0.06 whereas for the 15-30 km zone it was found to be comparatively higher at 0.46. But in the 0-30 km zone the correlation coefficient of chlorophyll-a with fish catch was found to be 0.4. SST correlation with fish catch was found to be highest in the 0-15 km range at 0.47.
Keywords : Remote sensing, fish catch, chlorophyll, suspended particulate matter, sea-surface temperature, MODIS, SeaWiFS.