REGRESSIVE MODELING OF SOIL-WATER TABLE FLUCTUATIONS

Environmental and agricultural studies require spatial information on the soil water table level. Data collection based on dip-well measurem ents 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, requirin g a limited number of dip-wells and related mapped soil information, t o describe water table depth fluctuations in time and space. A dip-wel l 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 parame ters and mapped soil data, spatially extended models were created.