Literature DB >> 17616829

Estimating nutrient loadings using chemical mass balance approach.

C K Jain1, D C Singhal, M K Sharma.   

Abstract

The river Hindon is one of the important tributaries of river Yamuna in western Uttar Pradesh (India) and carries pollution loads from various municipal and industrial units and surrounding agricultural areas. The main sources of pollution in the river include municipal wastes from Saharanpur, Muzaffarnagar and Ghaziabad urban areas and industrial effluents of sugar, pulp and paper, distilleries and other miscellaneous industries through tributaries as well as direct inputs. In this paper, chemical mass balance approach has been used to assess the contribution from non-point sources of pollution to the river. The river system has been divided into three stretches depending on the land use pattern. The contribution of point sources in the upper and lower stretches are 95 and 81% respectively of the total flow of the river while there is no point source input in the middle stretch. Mass balance calculations indicate that contribution of nitrate and phosphate from non-point sources amounts to 15.5 and 6.9% in the upper stretch and 13.1 and 16.6% in the lower stretch respectively. Observed differences in the load along the river may be attributed to uncharacterized sources of pollution due to agricultural activities, remobilization from or entrainment of contaminated bottom sediments, ground water contribution or a combination of these sources.

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Year:  2007        PMID: 17616829     DOI: 10.1007/s10661-007-9630-5

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  4 in total

1.  Adsorption of zinc on bed sediment of River Hindon: adsorption models and kinetics.

Authors:  C K Jain; D C Singhal; M K Sharma
Journal:  J Hazard Mater       Date:  2004-10-18       Impact factor: 10.588

2.  Effects of seasonal variation in precipitation on estimation of non-point source pollution.

Authors:  Y C Lin; J J Kao
Journal:  Water Sci Technol       Date:  2003       Impact factor: 1.915

3.  Inferences about point source loadings from upstream/downstream river monitoring data.

Authors:  D M Dolan; A H El-Shaarawi
Journal:  Environ Monit Assess       Date:  1989-11       Impact factor: 2.513

4.  Recent water quality trends in the Schuylkill River, Pennsylvania, USA: a preliminary assessment of the relative influences of climate, river discharge and suburban development.

Authors:  Sebastian J Interlandi; Christopher S Crockett
Journal:  Water Res       Date:  2003-04       Impact factor: 11.236

  4 in total

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