Scale-Dependent Field Partition Based on Water Retention Functional Data

Functional data are being used increasingly in recent years and many environmental sciences, such as hydrology applied to agriculture. This means that the output, instead of a scalar variable represented by spatial map, is given function. Furthermore, site-specific management, there need delineate field into management areas depending on agricultural procedure scale application. In this paper, an approach based multivariate geostatistics illustrated uses parameters Dexter’s water retention model some soil properties arrive at multiscale delineation Iran. One hundred geo-referenced samples were taken subjected various measurements. The volumetric contents different suctions fitted model. estimated curve plus measurements variables transformed standardized Gaussian values geostatistical cokriging factorial procedures. These results show (organic carbon, bulk density, saturated hydraulic conductivity tensile strength aggregates) influence model, although extents. thematic maps both displayed varying degree association allowed identification homogeneous within field. first regionalized factors (F1) scales 508 m 3000 made it possible provide delineations function scale, characterized specific physical properties. F1 short long distance could be interpreted “porosity indicator” “hydraulic indicator”, respectively. Such type proves particularly useful sustainable irrigation management. paper emphasizes importance taking account precision