Fluxes of nutrients from the tropical River Hooghly at the land–ocean boundary of Sundarbans, NE Coast of Bay of Bengal, India

Mukhopadhyay, Sandip; Biswas, Haimanti; De, Tarun Kumar; Jana, T. K.

doi:10.1016/j.jmarsys.2006.03.004

Cited by 230 publications

(127 citation statements)

References 22 publications

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“…Due to the intense anthropogenic disturbance, estuaries are often considered to be net heterotrophic ecosystems and act as a source of CO 2 (Biswas et al 2004, Mukhopadhyay et al 2006. The increased nutrient load leads to eutro-442 CARLOS E.D.…”

Section: Introductionmentioning

confidence: 99%

Nutrient budgets (C, N and P) and trophic dynamicsof a Brazilian tropical estuary: Barra das Jangadas

Noriega

Araújo

2011

An. Acad. Bras. Ciênc.

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This paper focuses on the nutrient dynamics of a tropical estuary on the northeastern Brazilian coast, studied using the LOICZ biogeochemical budgeting protocol. We describe the methodology and assumptions underlying this model. Input data (monthly for rainfall, evaporation, river discharge, and concentrations of salt, phosphorus and nitrogen) were obtained during field campaigns in the Barra das Jangadas Estuary (BJE) over a 5 years period (1999 to 2003). Mass balance results indicate large inputs of nutrients to the system. The model shows that the seasonal variation of the Net Ecosystem Metabolism (NEM) indicates that the system passes from a stage of organic matter liquid production and mineralization during the dry season (-0.5 mmoles C m −2 d −1 ) to liquid mineralization during the rainy season (-19 mmoles C m −2 d −1 ). We suggest that the system varies slightly between autotrophy and heterotrophy during the year due to the rainfall regime, human activities in the basin (density population and sugarcane plantations), and associated DIP riverine loads. High per capita loads of N and P indicate a high population density and high runoff. The application of flux balance modeling was useful to understand the nutrient dynamics of this typical small tropical estuary.

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Section: Introductionmentioning

confidence: 99%

Nutrient budgets (C, N and P) and trophic dynamicsof a Brazilian tropical estuary: Barra das Jangadas

Noriega

Araújo

2011

An. Acad. Bras. Ciênc.

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“…The landscape is characterised by a web of tidal water systems with very high relative humidity (RH) between 70-88%. The mean maximum temperature of 34 °C in June (monsoon season) and the mean minimum temperature of 11 °C in January (winter season) was observed (Mukhopadhyay et al, 2006;Suraj et al, 2016) for the period of one year (April 2012to March 2013. This region is experiencing occasional rains throughout most of the years, barring January and February (Chaudhuri and Chouddhury, 1994), and the monsoon season (June-September) accounts for about 80% of annual precipitation (Suraj et al, 2016).…”

Section: Study Areamentioning

confidence: 91%

Estimation of net surface radiation using eddy flux tower data over a tropical mangrove forest of Sundarban, West Bengal

et al. 2016

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In this study, net surface radiation (R n ) was estimated using artificial neural network (ANN) and Linear Model (LM). Then, estimated R n with both the models (ANN and LM) were compared with measured R n from eddy covariance (EC) flux tower. The routinely measured meteorological variables namely air temperature, relative humidity and wind velocity were used as input to the ANN and global solar radiation as input to the LM. All the input data are from the EC flux tower. and coefficient of residual mass (CRM) between -0.007 and -0.04 respectively. Further we have computed modelling efficiency (0.97 for ANN and 0.99 for LM) and coefficient of determination (R 2 = 0.97 for ANN and 0.99 for LM) for both the models. Even though both the models could predict R n successfully, ANN was better in terms of minimum number of routinely measured meteorological variables as input. The results of the ANN sensitivity analysis indicated that air temperatuere is the more important parameter followed by relative humidity, wind speed and wind direction.

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“…The level of dissolved nitrogen (sum of ammonia, nitrite and nitrate) are increased four to six times in the estuary during wet season. Nutrient levels are reported to be higher in tropical estuaries during wet season, and is attributed to increased river water discharge and rainfall associated with southwest monsoon [26][27][28]. CE receives 60-70% of its annual freshwater discharge i.e., 22.41 × 10 3 Mm 3 during southwest monsoon [29], which carries the nitrogen rich effluents discharged from fertilizer and fish processing industries [30].…”

Section: Environmental Variables In Cementioning

confidence: 99%

Heavy Metals Pollution Influence the Community Structure of Cyanobacteria in Nutrient Rich Tropical Estuary

Anas

Jasmin²,

Va³

et al. 2017

Oceanography

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Fluxes of nutrients from the tropical River Hooghly at the land–ocean boundary of Sundarbans, NE Coast of Bay of Bengal, India

Cited by 230 publications

References 22 publications

Nutrient budgets (C, N and P) and trophic dynamicsof a Brazilian tropical estuary: Barra das Jangadas

Nutrient budgets (C, N and P) and trophic dynamicsof a Brazilian tropical estuary: Barra das Jangadas

Estimation of net surface radiation using eddy flux tower data over a tropical mangrove forest of Sundarban, West Bengal

Heavy Metals Pollution Influence the Community Structure of Cyanobacteria in Nutrient Rich Tropical Estuary

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