Stochastic modelling of N-leaching using GIS and miultivariate statistical methods

T. Németh, L. Pásztor, J. Szabó

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

After the growing season, a part of the nitrogen remains in forms sensitive to changes of the conditions, such as nitrate. In years with above-average precipitation a significant amount of nitrate can leave the rooting zone. Integration of knowledge related to environmental conditions of a certain area with the soil, water, and crop management practices helps to prevent the simultaneity of the unfavourable processes leading to nitrate leaching, thus water resources may be protected from nitrate pollution of agricultural origin. In our work we present a stochastic approach for the evaluation of the vulnerability of soils for nitrate leaching. The method was applied for mapping N-leaching hazard in Hungary at a scale of 1:1 M.

Original languageEnglish
Pages (from-to)191-197
Number of pages7
JournalWater Science and Technology
Volume38
Issue number10 pt 8
DOIs
Publication statusPublished - 1998

Fingerprint

Geographic information systems
Leaching
Nitrates
Statistical methods
GIS
leaching
nitrate
modeling
Soils
rooting
Water resources
Crops
management practice
Hazards
vulnerability
Pollution
growing season
soil water
water resource
environmental conditions

Keywords

  • Geographic information systems
  • Information theory
  • Multivariate statistics
  • Nitrate-leaching
  • Stochastic models
  • Vulnerability mapping

ASJC Scopus subject areas

  • Water Science and Technology

Cite this

Stochastic modelling of N-leaching using GIS and miultivariate statistical methods. / Németh, T.; Pásztor, L.; Szabó, J.

In: Water Science and Technology, Vol. 38, No. 10 pt 8, 1998, p. 191-197.

Research output: Contribution to journalArticle

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