Estimating Pore Water Electrical Conductivity of Sandy Soil from Time Domain Reflectometry Records Using a Time-Varying Dynamic Linear Model
| dc.contributor.author | Aljoumani, Basem | |
| dc.contributor.author | Sanchez-Espigares, Jose A. | |
| dc.contributor.author | Wessolek, Gerd | |
| dc.date.accessioned | 2019-02-18T11:08:58Z | |
| dc.date.available | 2019-02-18T11:08:58Z | |
| dc.date.issued | 2018-12-13 | |
| dc.description.abstract | Despite the importance of computing soil pore water electrical conductivity (σp) from soil bulk electrical conductivity (σb) in ecological and hydrological applications, a good method of doing so remains elusive. The Hilhorst concept offers a theoretical model describing a linear relationship between σb, and relative dielectric permittivity (εb) in moist soil. The reciprocal of pore water electrical conductivity (1/σp) appears as a slope of the Hilhorst model and the ordinary least squares (OLS) of this linear relationship yields a single estimate ( 1/σpˆ ) of the regression parameter vector (σp) for the entire data. This study was carried out on a sandy soil under laboratory conditions. We used a time-varying dynamic linear model (DLM) and the Kalman filter (Kf) to estimate the evolution of σp over time. A time series of the relative dielectric permittivity (εb) and σb of the soil were measured using time domain reflectometry (TDR) at different depths in a soil column to transform the deterministic Hilhorst model into a stochastic model and evaluate the linear relationship between εb and σb in order to capture deterministic changes to (1/σp). Applying the Hilhorst model, strong positive autocorrelations between the residuals could be found. By using and modifying them to DLM, the observed and modeled data of εb obtain a much better match and the estimated evolution of σp converged to its true value. Moreover, the offset of this linear relation varies for each soil depth. | en |
| dc.description.sponsorship | DFG, 325093850, Open Access Publizieren 2017 - 2018 / Technische Universität Berlin | de |
| dc.description.sponsorship | DFG, GRK 2032, Grenzzonen in urbanen Wassersystemen | de |
| dc.identifier.eissn | 1424-8220 | |
| dc.identifier.uri | https://depositonce.tu-berlin.de/handle/11303/9124 | |
| dc.identifier.uri | http://dx.doi.org/10.14279/depositonce-8213 | |
| dc.language.iso | en | en |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en |
| dc.subject.ddc | 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten | de |
| dc.subject.other | electrical conductivity | en |
| dc.subject.other | relative dielectric permittivity | en |
| dc.subject.other | time domain reflectometry | en |
| dc.subject.other | kalman filter | en |
| dc.subject.other | dynamic linear model | en |
| dc.title | Estimating Pore Water Electrical Conductivity of Sandy Soil from Time Domain Reflectometry Records Using a Time-Varying Dynamic Linear Model | en |
| dc.type | Article | en |
| dc.type.version | publishedVersion | en |
| dcterms.bibliographicCitation.articlenumber | 4403 | en |
| dcterms.bibliographicCitation.doi | 10.3390/s18124403 | en |
| dcterms.bibliographicCitation.issue | 12 | en |
| dcterms.bibliographicCitation.journaltitle | Sensors | en |
| dcterms.bibliographicCitation.originalpublishername | MDPI | en |
| dcterms.bibliographicCitation.originalpublisherplace | Basel | en |
| dcterms.bibliographicCitation.volume | 18 | en |
| tub.accessrights.dnb | free | en |
| tub.affiliation | Verbundforschung::Graduiertenkollegs (GRK)::GRK 2032 - UWI | de |
| tub.affiliation | Fak. 6 Planen Bauen Umwelt::Inst. Ökologie::FG Ökohydrologie & Landschaftsbewertung | de |
| tub.affiliation.faculty | Verbundforschung | de |
| tub.affiliation.faculty | Fak. 6 Planen Bauen Umwelt | de |
| tub.affiliation.group | GRK 2032 - UWI | de |
| tub.affiliation.group | FG Ökohydrologie & Landschaftsbewertung | de |
| tub.affiliation.institute | Graduiertenkollegs (GRK) | de |
| tub.affiliation.institute | Inst. Ökologie | de |
| tub.publisher.universityorinstitution | Technische Universität Berlin | en |