title: Field calibrations of soil moisture sensors in a forested watershed.
abstract: Spatially variable soil properties influence the performance of soil water content monitoring sensors. The objectives of this research were to: (i) study the spatial variability of bulk density (ρ(b)), total porosity (θ(t)), clay content (CC), electrical conductivity (EC), and pH in the upper Mākaha Valley watershed soils; (ii) explore the effect of variations in ρ(b) and θ(t) on soil water content dynamics, and (iii) establish field calibration equations for EC-20 (Decagon Devices, Inc), ML2x (Delta-T-Devices), and SM200 (Delta-T-Devices) sensors to mitigate the effect of soil spatial variability on their performance. The studied soil properties except pH varied significantly (P < 0.05) across the soil water content monitoring depths (20 and 80 cm) and six locations. There was a linear positive and a linear inverse correlation between the soil water content at sampling and ρ(b), and between the soil water content at sampling and θ(t), respectively. Values of laboratory measured actual θ(t) correlated (r = 0.75) with those estimated from the relationship θ(t) = 1 - ρ(b)/ρ(s), where ρ(s) is the particle density. Variations in the studied soil properties affected the performance of the default equations of the three tested sensors; they showed substantial under-estimations of the actual water content. The individual and the watershed-scale field calibrations were more accurate than their corresponding default calibrations. In conclusion, the sensors used in this study need site-specific calibrations in order to mitigate the effects of varying properties of the highly weathered tropical soils.
authors.affiliation: Natural Resources and Environmental Management Department, University of Hawaii-Manoa, Honolulu, HI 96822, USA. farhat@hawaii.edu
authors.forename: Farhat
authors.initials: F
authors.lastname: Abbas
authors.forename: Ali
authors.initials: A
authors.lastname: Fares
authors.forename: Samira
authors.initials: S
authors.lastname: Fares
mesh_terms: D002138:Calibration; D004553:Electric Conductivity; D004784:Environmental Monitoring / Q000379:methods; D004867:Equipment Design; D006863:Hydrogen-Ion Concentration; D007700:Kinetics; D015233:Models, Statistical; D016062:Porosity; D011891:Rain; D012987:Soil / Q000737:chemistry*; D014197:Trees; D014329:Tropical Climate; D014867:Water / Q000032:analysis / Q000737:chemistry
chemical_list: D012987:Soil; D014867:Water