Temporal and Local Heterogeneities of Water Table Depth under Different Agricultural Water Management Conditions

Water

Pierre Dutilleul¹  Virginie Vanlandeghem²  Silvio J. Gumiere²  Jacques Gallichand²  Alain N. Rousseau³  Jonathan A. Lafond⁴ 

[1] Department of Plant Science, McGill University, Ste-Anne-de-Bellevue, QC G1V 0A6, Canada;Department of Soils and Agri-Food Engineering, Laval University, Québec City, QC G1V 0A6, Canada;INRS-ETE, Institut National de la Recherche Scientifique, Centre Eau-Terre-Environnement, Québec City, QC G1V 0A6, Canada;Québec Research and Development Centre, Agriculture and Agri-Food Canada, Québec City, QC G1V 2J3, Canada;

关键词: water table management;    subirrigation;    controlled drainage;    multi-frequential periodogram analysis;    autoregressive modelling;   

DOI  :  10.3390/w13162148

来源: DOAJ

【 摘 要 】

Integrated water management has become a priority for cropping systems where subirrigation is possible. Compared to conventional sprinkler irrigation, the controlling water table can lead to a substantial increase in yield and water use efficiency with less pumping energy requirements. Knowing the spatiotemporal distribution of water table depth (WTD) and soil properties should help perform intelligent, integrated water management. Observation wells were installed in cranberry fields with different water management systems: Bottom, with good drainage and controlled WTD management; Surface, with good drainage and sprinkler irrigation management; Natural, without drainage, or with imperfectly drained and conventional sprinkler irrigation. During the 2017–2020 growing seasons, WTD was monitored on an hourly basis, while precipitation was measured at each site. Multi-frequential periodogram analysis revealed a dominant periodic component of 40 days each year in WTD fluctuations for the Bottom and Surface systems; for the Natural system, periodicity was heterogeneous and ranged from 2 to 6 weeks. Temporal cross correlations with precipitation show that for almost all the sites, there is a 3 to 9 h lag before WTD rises; one exception is a subirrigation site. These results indicate that automatic water table management based on continuously updated knowledge could contribute to integrated water management systems, by using precipitation-based models to predict WTD.

【 授权许可】

Unknown