Coastal Ocean Monitoring and Prediction System (COMAPS) is a continuing
programme since 1991 for monitoring the health of our seas. Data collected through this
programme are essential to formulate remedial measures to protect health of our marine
environment. Depending upon the level and source of pollutants, 77 sampling stations have
been identified of which 32 have been classified as "Hot spot" stations. Data on 25
environmental parameters including heavy metals and pesticide residues are being
monitored. The institutions involved in the programme include National Institute of
Oceanography (NIO) and its Regional Centres at Bombay, Cochin and Visakhapatnam;
Central Salt & Marine Chemicals Research Institute, Bhavnagar; Centre for Earth Science
Studies, Trivandrum; Central Electrochemical Research Institute units, Madras and
Tuticorin; Regional Research Laboratory, Bhubaneswar; Central Pollution Control Board
(Zonal Office), Calcutta; Andaman and Nicobar Centre for Ocean Development and
Regional Research Laboratory, Trivandrum.
The details of state-wise locations where the levels of pollutants were monitored are
given below with the intensively monitored areas as potential hotspot identified with an
asterik mark (*):
Gujarat: Kandla,Navlakhi, Salaya,Okha*, Dwarka, Porbandar*,Veraval* and Hazira
Diu and Daman
Maharashtra: Trombay*, Bassein*, Mahim*,Thane*, Bombay Harbour*,Versova*, Ulhas
creek*, Murud, Ratnagiri and Reddy
Goa: Mandovi, Zuari and Marmagao*
Karnataka: Karwar*, Hannowar and Mangalore*
Kerala: Kasargod, Cannanore, Calicut, Ponnani, Kochi*, Alleppey, Kayankulam, Quilon*,
Veli and Thiruvananthapuram*
Tamil Nadu: Kanyakumari, Koodankulam*, Arumuganeri*, Tuticorin*, Vaiparu estuary,
Gundaru estuary, Mandapam, Uchipulli, Thondi, Point Calimere*, Nagapattinam, Cuddalore,
Cooum*, Madras Harbour*, Ennore* and Pulicat
Pondicherry*, Yanam
Andhra Pradesh: Krishnapatnam, Nizampatnam,Machilipatnam,Yanam,
Kakinada*,Visakhapatnam*I, Visakhapatnam*II and Kalingapatnam
Orissa: Dhamra, Gopalpur*, Paradip*, Puri*, Konark and Balasore
West Bengal: Saptamukhi, Digha, Sandheads*, Diamond harbour*, Holiday island,
Dalhousie Point,Sunderbans and Indo-Bangladesh Border*
Andaman & Nicobar Islands: Port Blair
Lakshadweep Islands: Kavaratti
The results obtained have indicated localised pollution in hot spot areas and in other
areas the pollution was minimal. In general sea off 1 km from the coast was found to be
clean, except off Bombay where the sea off 2 Km. was found to be free from pollution.
Inter-Calibration Exercises
Two inter-calibration exercises were carried out during the financial year for
assessing the data quality produced by the COMAPS laboratories. In these exercises, 80%
of the laboratories showed reproducible reliable data. Corrective action were taken in other
laboratories.
Interaction with the Pollution Control Boards
The status of health of each area is being brought to the notice of the respective
State Pollution Control Boards. The Boards have reported that remedial actions are being
taken to minimise pollution. The COMAPS programme is being monitored by a Steering
Committee chaired by the Chairman, Central Pollution Control Board and represented by all
the State Pollution Control Boards. The COMAPS laboratories using the experience gained
under the COMAPS programme, undertake consultancy services for the industries to
investigate the pollution problems in the industrial areas, for locating waste disposal points
and also the Environmental Impact Assessment studies. Further, the National Marine Data
Centre on Marine Pollution has been established at Regional Centre, National Institute of
Oceanography, Bombay to disseminate the information on status of marine pollution in the
country.
Pollutant Dispersion Studies
A mathematical model to predict diffusion and dispersion characteristics of pollutants
in Thane creek, Mumbai is being developed. Using the available data on tide and current, a
preliminary model was constructed. In March 1996, a programme to collect additional data
on bathymetry, tide and current was launched. The data will be used for improvement of the
model.
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