Abstract
Environmental and agricultural studies require spatial information on the soil water table level. Data collection based on dip-well measurements requires frequent measurements and a high number of dip-wells as the soil water table depth is varying strongly within short distances and time intervals. This paper presents a model based method, requiring a limited number of dip-wells and related mapped soil information, to describe water table depth fluctuations in time and space. A dip-well specific, regressive model was developed with meteorological data as input. This model described the fluctuations in time at the dip-well locations successfully. Based on the relationship between model parameters and mapped soil data, spatially extended models were created.
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 callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
