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Hazra, Sugata

Recent Changes in Coastal Configuration of Henry's Island

High Cadmium Contamination at the Gateway to Sundarban Ecosystem Driven by Kolkata Metropolitan Sewage in India

Abstract Views :263 | PDF Views:102

Authors

Anirban Akhand ¹, Abhra Chanda ¹, Sourav Das ¹, Pranabes Sanyal ¹, Sugata Hazra ¹

Affiliations
1 School of Oceanographic Studies, Jadavpur University, 188 Raja S.C. Mullick Road, Kolkata 700 032, IN

Source

Current Science, Vol 110, No 3 (2016), Pagination: 386-391

Abstract

Cr, Pb, Zn, Cd, Ni, Cu, Co and Fe content in the surface sediments was studied at three sites along a 20 km stretch on the Bidyadhari River (situated at the gateway to Indian Sundarban mangrove ecosystem) starting from the sewage outfall zone of the Kolkata metropolis (northern limit of Sundarban) during the dry (March) and wet (August) seasons in the year 2011. The concentration levels of the heavy metals (mg kg^-1) were in the following order: Fe (30399 ± 3679) > Cr (68.16 ± 39.28) > Zn (61.33 ± 10.47) > Ni (32.50 ± 4.79) > Cu (27.67 ± 6.59) > Pb (19.69 ± 5.20) > Co (15.23 ± 4.39) > Cd (1.70 ± 0.63). Computation of pollution load index comprising all the heavy metals was found higher during the wet season, mainly due to the enhanced surface run-off led by monsoonal rain. Concentrations of Cr and Co were found higher than the world average in a few cases (especially during wet season); however, computation of pollution indices like contamination factors, enrichment ratio and geoaccumulation index exhibited extremely high Cd contamination in all the sites and during both seasons.

Keywords

Cadmium, Contamination, Heavy Metals, Metropolitan Sewage, Pollution Load Index.

Full Text

References

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Comparing the Spatio-Temporal Variability of Remotely Sensed Oceanographic Parameters between the Arabian Sea and Bay of Bengal throughout a Decade

Abstract Views :246 | PDF Views:99

Authors

Sourav Das ¹, Abhra Chanda ¹, Suparna Dey ¹, Sanjibani Banerjee ¹, Anirban Mukhopadhyay ¹, Anirban Akhand ¹, Amit Ghosh ¹, Subhajit Ghosh ¹, Sugata Hazra ¹, D. Mitra ², Aneesh A. Lotliker ³, K. H. Rao ⁴, S. B. Choudhury ⁴, V. K. Dadhwal ⁴

Affiliations
1 School of Oceanographic Studies, Jadavpur University, 188 Raja S. C. Mullick Road, Kolkata 700 032, IN
2 Indian Institute of Remote Sensing, 4, Kalidas Road, Dehradun 248 001, IN
3 Indian National Centre for Ocean Information Services, Kukatpally, Hyderabad 500 090, IN
4 National Remote Sensing Centre, Balanagar, Hyderabad 500 042, IN

Source

Current Science, Vol 110, No 4 (2016), Pagination: 627-639

Abstract

The spatio-temporal variability of sea-surface temperature (SST), photosynthetically active radiation (PAR), chlorophyll-a (Chl-a), particulate organic carbon (POC) and particulate inorganic carbon (PIC) was evaluated in the Arabian Sea (ABS) and Bay of Bengal (BoB), from July 2002 to November 2014 by means of remotely sensed monthly composite Aqua MODIS level-3 data having a spatial resolution of 4.63 km. Throughout the time period under consideration, the surface waters of ABS (27.76±1.12°C) were slightly cooler than BoB (28.93±0.76°C); this was observed during all the seasons. On the contrary, the availability of PAR was higher in ABS (45.76±3.41 mol m^-2 d^-1) compared to BoB (41.75±3.75 mol m^-2 d^-1), and its spatial dynamics in the two basins was mainly regulated by cloud cover and turbidity of the water column. The magnitude and variability of Chl-a concentration were substantially higher in ABS (0.487±0.984 mg m^-3), compared to BoB (0.187±0.243 mg m^-3), and spatially higher values were observed near the coastal waters. Both POC and PIC exhibited higher magnitudes in ABS compared to BoB; however, the difference was substantially high in case of POC. None of the parameters showed any significant temporal trend during the 12-year span, except PIC, which exhibited a significant decreasing trend in ABS.

Keywords

Marine Ecosystems, Oceanographic Parameters, Remote Sensing, River Basins, Spatio-Temporal Variability.

Full Text

References

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Pollution Load of Four Heavy Metals in Water, Sediment and Benthic Organisms in the Kulti River of Sundarban Fed by Metropolitan Sewage

Abstract Views :132 | PDF Views:0

Authors

Anirban Akhand ¹, Abhra Chanda ¹, Pranabes Sanyal ¹, Sugata Hazra ¹

Affiliations
1 School of Oceanographic Studies, Jadavpur University, Jadavpur, Kolkata-700 032, West Bengal, IN

Source

Nature Environment and Pollution Technology, Vol 11, No 1 (2012), Pagination: 153-156

Abstract

The degree of heavy metal contamination was estimated in the river water, sediments and benthic organisms in the Kolkata metropolitan sewage outfall zone and downstream areas along the Kulti River track. Four heavy metals namely Cr, Pb, Zn and Cd were studied seasonally. The hierarchy of heavy metals in the water samples and sediments was found in the order Z>Pb>Cr>Cd and Zn>Cr>Pb>Cd respectively in most of the cases. Among the four heavy metals, Pb was found to be beyond the permissible limit recommended by Central Pollution Control Board of India for inland discharge. The extent of contamination by Cd is very prominent in the sediments followed by Pb, which is observed not only in the outfall region but also found persistent in the downstream stations. On the other hand contamination of Zn and Cr was not found to be widespread. Contamination in sediments of the outfall zone was most pronounced during the monsoon, while in the same season it was observed least in case of water samples. The pollution load index study revealed that the overall metal pollution load depleted towards the downstream. Among the two benthic organisms studied, metals were found to be accumulated more in Uca rosea than Boleopthalmus spp.

Keywords

Heavy Metals, Kulti River, Metropolitan Sewage, Pollution Load Index, Concentration Factors.

Full Text

Mangrove Species Discrimination and Health Assessment using AVIRIS-NG Hyperspectral Data

Abstract Views :208 | PDF Views:88

Authors

Nilima R. Chaube ¹, Nikhil Lele ¹, Arundhati Misra ¹, T. V. R. Murthy ¹, Sudip Manna ², Sugata Hazra ³, Muktipada Panda ⁴, R. N. Samal ⁴

Affiliations
1 Space Applications Centre, Ahmedabad 380 015, IN
2 Department of Physics, Presidency University, Kolkata 700 073, IN
3 School of Oceanographic Studies, Jadavpur University, Kolkata 700 032, IN
4 Chilika Development Authority, Bhubaneshwar 751 014, IN

Source

Current Science, Vol 116, No 7 (2019), Pagination: 1136-1142

Abstract

Mangroves play a major role in supporting biodiversity, providing economic and ecological security to the coastal communities, mitigating the effects of climate change and global warming. Species level classification of mangrove forest, understanding physical as well as chemical properties of mangrove vegetation, mangrove health, pigments, and levels of stress are some of the key issues for making scientific and management decisions. Hyperspectral remote sensing owing to its narrow bands, yield information on structural details and canopy parameters. Hyperspectral data over Sundarban and Bhitarkanika mangrove forests are analyzed for species discrimination and forest health assessment. In all, 15 mangrove species in Sundarban and 7 mangrove species in Bhitarkanika have been identified and classified using Spectral Angle Mapper technique. In-situ spectro-radiometer data has been used along with AVIRIS-NG hyperspectral data. Based on response of vegetation in blue, red and near-infrared regions, combination of vegetation indices are used to assess mangrove forest’s health. Reduction in NIR reflectance with shift towards lower wavelength has been observed in less healthy groups.

Keywords

Coastal Forest Management, Health Assessment, Hyperspectral Data, Mangrove Species.

Full Text

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Hazra, Sugata

Recent Changes in Coastal Configuration of Henry's Island

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High Cadmium Contamination at the Gateway to Sundarban Ecosystem Driven by Kolkata Metropolitan Sewage in India

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Comparing the Spatio-Temporal Variability of Remotely Sensed Oceanographic Parameters between the Arabian Sea and Bay of Bengal throughout a Decade

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Pollution Load of Four Heavy Metals in Water, Sediment and Benthic Organisms in the Kulti River of Sundarban Fed by Metropolitan Sewage

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Mangrove Species Discrimination and Health Assessment using AVIRIS-NG Hyperspectral Data

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