Literature DB >> 15850205

Modelling nitrate losses from agricultural activities on a national scale.

S M Dunn1, A J A Vinten, A Lilly, J DeGroote, M McGechan.   

Abstract

The Nitrogen Risk Assessment Model for Scotland (NIRAMS) has been developed as a screening tool for prediction of streamwater N concentrations draining from agricultural land in Scotland. The objective of the model is to be able to predict N concentrations for ungauged catchments, to fill gaps in monitoring data and provide guidance in relation to policy development. The model uses national land use, soils and meteorology data sets and has been developed within an ArcView GIS user interface. The model includes modules to calculate N inputs to the land, residual N remaining at the end of the growing season, weekly time-series of leached N and transport of N at the catchment scale. The N leaching and transport are. controlled by hydrological modules, including a national water balance model and a catchment scale transport model. Preliminary testing of NIRAMS has been carried out on eight Scottish catchments, diverse in terms of geographic location as well as land use. The model is capable of predicting the correct mean level of stream N concentrations, as well as the basic characteristics of seasonal variation. As such the model can be of value for providing estimates of N concentrations in ungauged areas.

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Year:  2005        PMID: 15850205

Source DB:  PubMed          Journal:  Water Sci Technol        ISSN: 0273-1223            Impact factor:   1.915


  2 in total

1.  Contamination of nitrate in groundwater and its potential human health: a case study of lower Mae Klong river basin, Thailand.

Authors:  Jaturong Wongsanit; Piyakarn Teartisup; Prapeut Kerdsueb; Prapin Tharnpoophasiam; Suwalee Worakhunpiset
Journal:  Environ Sci Pollut Res Int       Date:  2015-04-01       Impact factor: 4.223

2.  Nitrates and phosphates in cave waters of Kraków-Częstochowa Upland, southern Poland.

Authors:  Jacek Różkowski; Kazimierz Różkowski; Oimahmad Rahmonov; Hanna Rubin
Journal:  Environ Sci Pollut Res Int       Date:  2017-09-22       Impact factor: 4.223

  2 in total

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