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- Title
ESTIMATING DRAINAGE PERIODS FOR AGRICULTURAL FIELDS FROM MEASURED DATA: DATA-MINING METHODOLOGY AND A CASE STUDY (LA JAILLIÈRE, FRANCE).
- Authors
Trajanov, Aneta; Kuzmanovski, Vladimir; Leprince, Florence; Real, Benoit; Dutertre, Alain; Maillet‐Mezeray, Julie; Džeroski, Sašo; Debeljak, Marko
- Abstract
The identification of intensive drainage periods is important for determining mitigation strategies for protecting water against pollution with plant protection products (PPPs). Most attempts to estimate the start, duration and the end of a drainage period are based either on mechanistic modelling approaches or on empirical knowledge about tile drainage. Mechanistic modelling requires many parameters, while the empirical approach does not allow for making the simulations and predictions needed for proposing reliable mitigation measures. In order to complement these two approaches, we have used a data-mining approach on data from 25 (1987-2011) agricultural seasons (campaigns) from the experimental station La Jaillière, France. The models for estimating the start and the end of the intensive drainage period for a particular campaign have the form of decision trees and tell us which factors influence these dates the most. The start of a drainage period depends mostly on the cumulative drainage and the cumulative rainfall since the beginning of the campaign and the average air temperature of the last 7 days. For estimating the end of a drainage period, the most important variables are the cumulative rainfall of the last 7 days and the average air temperature of the following 7 days.
- Subjects
PLANT protection; WATER pollution; DATA mining; RAINFALL; DECISION trees
- Publication
Irrigation & Drainage, 2015, Vol 64, Issue 5, p703
- ISSN
1531-0353
- Publication type
Article
- DOI
10.1002/ird.1933