Assessment of nitrogen excess in an agricultural area using a nitrogen balance approach

Muhammetoglu H., Muhammetoglu A., Soyupak S.

WATER SCIENCE AND TECHNOLOGY, cilt.51, sa.3-4, ss.259-266, 2005 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 51 Sayı: 3-4
  • Basım Tarihi: 2005
  • Doi Numarası: 10.2166/wst.2005.0599
  • Dergi Adı: WATER SCIENCE AND TECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.259-266
  • Anahtar Kelimeler: diffuse pollution, fertilizer applications, greenhouse farming, groundwater contamination, multiple linear regression, nitrate balance
  • Akdeniz Üniversitesi Adresli: Evet

Özet

A pilot study has been initiated to develop an approach for quantification of nitrogen excesses from agricultural activities that involve greenhouse farming in Kumluca Plain, Turkey. Detailed calculations utilizing the nitrogen balance method (NBM) were carried out at nine different locations within the plain over a time period of one year. The major contributing factors and governing operative mechanisms taken into consideration were nitrogen application rates both as organic and chemical fertilizers, irrigation water to application practices, and nitrogen uptake by plants. The adopted approach yielded valuable information such as plant nitrogen uptake efficiencies, excess nitrogen, leaching rates and leachate nitrogen concentrations. Further, a site specific multiple linear regression model has been developed to estimate the ratio (N-leachate/N-groundwater) as a function of independent variables: farming age, excess nitrogen application and SEEPAGE Index Number. The negative sign of the model parameters implies that the ratio (N-leachate/N-groundwater) decreases as values of the independent variables increase. The adopted approach and the obtained results can beneficially be applied to similar sites to establish basic parameters of irrigation and fertilizer application operations.