A Point Count System model, DRASTIC, was used to assess the groundwater pollution potential from nitrogen fertilizers in Ludhiana district of Punjab, India. Thematic maps of the seven parameters of the model i.e. depth to water table, recharge, aquifer media, soil, topography, impact of vadose zone and hydraulic conductivity were prepared in a geographic information system (GIS) environment to obtain nitrogen pollution potential indexes based on the consumption of nitrogenous fertilizers. The model was calibrated and validatedfor the region.Statistical analysis showed good agreement between model computed and observed values of Nitrate-N concentration. The model was used to predict the future scenario. As per model prediction, the area under critical value may reach up to 50730 ha by the year 2012. Machhiwara, Sidhwan bet and Ludhiana-2 blocks of the district will be severely affected.To prevent this grave situation, the areas having higher nitrate pollution potential index may be enforced with restricted fertilizer use and be made the focus of attention for preventing contamination of the underlying groundwater sources.
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A Point Count System model, DRASTIC, was used to assess the groundwater pollution potential from nitrogen fertilizers in Ludhiana district of Punjab, India. Thematic maps of the seven parameters of the model i.e. depth to water table, recharge, aquifer media, soil, topography, impact of vadose zone and hydraulic conductivity were prepared in a geographic information system (GIS) environment to obtain nitrogen pollution potential indexes based on the consumption of nitrogenous fertilizers. The model was calibrated and validatedfor the region.Statistical analysis showed good agreement between model computed and observed values of Nitrate-N concentration. The model was used to predict the future scenario. As per model prediction, the area under critical value may reach up to 50730 ha by the year 2012. Machhiwara, Sidhwan bet and Ludhiana-2 blocks of the district will be severely affected.To prevent this grave situation, the areas having higher nitrate pollution potential index may be enforced with restricted fertilizer use and be made the focus of attention for preventing contamination of the underlying groundwater sources.
Er. Ram Naresh is now working as District Extension Specialist at Department of Soil & Water Engineering, CCS Haryana Agricultural University, INDIA. He did his B.Tech in Agril. Engg. from CCS HAU, Hisar in 2001 and M.Tech in Soil & Water Engg. from PAU, Ludhiana in 2004 with ICAR JRF fellowship.He has published 6 research papers & 40 articles.
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Naresh RamEr. Ram Naresh is now working as District Extension Specialist at Department of Soil & Water Engineering, CCS Haryana Agricultural University, INDIA. He did his B.Tech in Agril. Engg. from CCS HAU, Hisar in 2001 and M.Tech . Nº de ref. del artículo: 5519735
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Taschenbuch. Condición: Neu. Groundwater Pollution Vulnerability Assessment | Assessing groundwater pollution potential from nitrogen fertilizer using geographic information system | Ram Naresh (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783848403530 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 106588282
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