Abstract

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.

Highlights

  • IntroductionIntroduction published maps and institutional affilAgricultural water management faces more and more challenges, having to cope with changing climate conditions including more occurrences of extreme droughts and precipitation

  • Introduction published maps and institutional affilAgricultural water management faces more and more challenges, having to cope with changing climate conditions including more occurrences of extreme droughts and precipitation

  • The objective of this study was to analyse the impact of three water management systems on the temporal heterogeneities of water table depth (WTD) submitted to precipitation events during four growing seasons (2017–2020) of cranberries in Québec, Canada

Read more

Summary

Introduction

Introduction published maps and institutional affilAgricultural water management faces more and more challenges, having to cope with changing climate conditions including more occurrences of extreme droughts and precipitation. One way to adapt is to implement integrated water management through agricultural hydroinformatics [1] The use of such tools actively relies on developing and incorporating real-time predictive and adaptive models of distribution patterns of water table depth (WTD). This kind of real-time water management has been studied widely through monitoring or modelling of soil water content or status [2,3], soil matric potential [4,5,6], crop parameters [7], and water table depth (WTD) [8,9]. Optimal cranberry farm water management usually has four basic elements: (i) an infrastructure for storing water, (ii) a network of channels and ditches to route water in and out of fields, (iii) a iations

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call