Model of Dielectric Constant of Bound Water in Soil for Applications of Microwave Remote Sensing

Boyarskii, D. A.; Tikhonov, V. I.; Komarova, N. Yu.

doi:10.2528/pier01042403

Cited by 87 publications

(83 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…4 presents the dielectric constants and bound water contents of the biodrying samples at different stages. The dielectric constant of the bound water was approximately 3-4; the constant of the free water is approximately 81 at 20°C (Boyarskii et al, 2002). When the moisture content across different samples is constant, the higher dielectric constant indicates more free water in the sample.…”

Section: Extracellular Polymeric Substances Variationmentioning

confidence: 94%

“…Time domain reflectometry (TDR) has been used to assess the alteration of the dielectric constant, indicating the transformation of bound water to free water (Schwartz et al, 2008). At 20°C, the dielectric constants of free water, bound water, air, and solid particles (including organic matter) are approximately 81, 3-4, 1, and 3-12, respectively (Boyarskii et al, 2002). Because the dielectric constant of free water is much larger than other biodrying material constituents, determining free water content by measuring the dielectric constant is reasonable (Noborio, 2001).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Structure modification and extracellular polymeric substances conversion during sewage sludge biodrying process

Cai

Krafft

Chen

et al. 2016

Bioresource Technology

View full text Add to dashboard Cite

Section: Extracellular Polymeric Substances Variationmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Structure modification and extracellular polymeric substances conversion during sewage sludge biodrying process

Cai

Krafft

Chen

et al. 2016

Bioresource Technology

View full text Add to dashboard Cite

“…Attempts to suggest a physical model of dielectric properties of SD has been met with application complexity since analytical calculation of some parameters is impossible and they have to be retrieved experimentally for each type of SD. At present, models of SD permittivity exist reflecting certain physical and structural properties (e.g., [11,15]). Most of these models only took bulk permittivity into consideration [28].…”

Section: Permittivitymentioning

confidence: 99%

Review and Assessment of Electromagnetic Wave Propagation in Sand and Dust Storms at Microwave and Millimeter Wave Bands --- Part I

Musa¹,

Bashir²,

Abdalla³

2014

PIER M

View full text Add to dashboard Cite

Abstract-Electromagnetic wave propagation in arid and semi-arid regions is influenced by sand and dust storms. Meagre information has hitherto been reported as to the effect of storms on telecommunication systems operating in such regions. This paper presents a survey of current understanding of the wave propagation during storms. In this first part of the review-Part I, detailed parametric assessment of some electrical and mechanical properties affecting wave propagation in sand and dust storms is given. The second part of the review-Part II describes the principle of approach and technology adopted for the investigation highlighting both strengths and drawbacks. The results demonstrate that most authors have calculated signal attenuation effect, revealing that it is not very significant unless during severe storms. A few papers indicate the possibility of more significant cross polarisation. Part I explicitly gives an account of the sand and dust storms' phenomenon, reviews the storms' parameters affecting electromagnetic wave propagations and discusses the microwave and millimeter wave bands.

show abstract

“…The bound water relaxation is frequency-dependent (omega in Equations (25) and (26)). It also changes according to soil texture [66,67], the variation of which is reflected in the bound water relaxation model (25) and (26) by applying a linear equation varying with v clay to the estimation of the parameters ε max bound as shown in (32):…”

Section: Frequency-dependent Dielectric Relaxation Modelmentioning

confidence: 99%

New Approach for Calculating the Effective Dielectric Constant of the Moist Soil for Microwaves

et al. 2017

View full text Add to dashboard Cite

Microwave remote sensing techniques are used, among others, for temporally and spatially highly-resolved observations of land-surface properties, e.g., for the management of agricultural productivity and water resource, as well as to improve the performances of numerical weather prediction and climate simulations with soil moisture data. In this context, the effective dielectric constant of the soil is a key variable to quantify the land surface properties. We propose a new approach for the effective dielectric constant of the multiphase soil that is based on an arithmetic average of the dielectric constants of the land-surface components with damping. The results show, on average, better agreement with experimental data than previous approaches. Furthermore, the proposed new model overcomes the theoretical limitation of previous models in the incorporation of non-physical parameters to simulate measured data experimentally with satisfactory accuracy. For microwave remote sensing such as SMAP (Soil Moisture Active Passive), SMOS (Soil Moisture and Ocean Salinity) and AMSR-E (Advanced Microwave Scanning Radiometer for EOS), the physical-based model in our study showed a 23-35% RMSE (root-mean-square error) reduction compared to the most prevalent refractive mixing model in the prediction of the dielectric constant for the real and imaginary part, respectively. Furthermore, in radiowave bands used in portable soil sensors such as TDR (time-domain reflectometer) and GPR (ground-penetrating radar) the new dielectric mixing model reduced RMSE by up to 53% in the prediction of the dielectric constant. We found that the permittivity over the saturation point (porosity of dry soil) has a very different and varying pattern compared to that measured in the unsaturated condition. However, in our study, this pattern was mathematically derived from the same mixing rule applied for the unsaturated condition. It is expected that the new dielectric mixing model might help to improve the accuracy of flood monitoring by satellite.

show abstract

Model of Dielectric Constant of Bound Water in Soil for Applications of Microwave Remote Sensing

Cited by 87 publications

References 9 publications

Structure modification and extracellular polymeric substances conversion during sewage sludge biodrying process

Structure modification and extracellular polymeric substances conversion during sewage sludge biodrying process

Review and Assessment of Electromagnetic Wave Propagation in Sand and Dust Storms at Microwave and Millimeter Wave Bands --- Part I

New Approach for Calculating the Effective Dielectric Constant of the Moist Soil for Microwaves

Contact Info

Product

Resources

About