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Artykuły w czasopismach na temat „Soil property estimation”

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Data publikacji: 6 września 2023

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1

Fredlund, Delwyn G., Daichao Sheng, and Jidong Zhao. "Estimation of soil suction from the soil-water characteristic curve." Canadian Geotechnical Journal 48, no. 2 (2011): 186–98. http://dx.doi.org/10.1139/t10-060.

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Soil-water characteristic curves (SWCCs) are routinely used for the estimation of unsaturated soil property functions (e.g., permeability functions, water storage functions, shear strength functions, and thermal property functions). This paper examines the possibility of using the SWCC for the estimation of in situ soil suction. The paper focuses on the limitations of estimating soil suctions from the SWCC and also suggests a context under which soil suction estimations should be used. The potential range of estimated suction values is known to be large because of hysteresis between drying and

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Fredlund, Delwyn G. "The 1999 R.M. Hardy Lecture: The implementation of unsaturated soil mechanics into geotechnical engineering." Canadian Geotechnical Journal 37, no. 5 (2000): 963–86. http://dx.doi.org/10.1139/t00-026.

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The implementation of unsaturated soil mechanics into geotechnical engineering practice requires that there be a paradigm shift from classical soil mechanics methodology. The primary drawback to implementation has been the excessive costs required to experimentally measure unsaturated soil properties. The use of the soil-water characteristic curve has been shown to be the key to the implementation of unsaturated soil mechanics. Numerous techniques have been proposed and studied for the assessment of the soil-water characteristic curves. These techniques range from direct laboratory measurement

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Ng, Set Foong, Pei Eng Ch’ng, Yee Ming Chew, and Kok Shien Ng. "Applying the Method of Lagrange Multipliers to Derive an Estimator for Unsampled Soil Properties." Scientific Research Journal 11, no. 1 (2014): 15. http://dx.doi.org/10.24191/srj.v11i1.5416.

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Soil properties are very crucial for civil engineers to differentiate one type of soil from another and to predict its mechanical behavior. However, it is not practical to measure soil properties at all the locations at a site. In this paper, an estimator is derived to estimate the unknown values for soil properties from locations where soil samples were not collected. The estimator is obtained by combining the concept of the ‘Inverse Distance Method’ into the technique of ‘Kriging’. The method of Lagrange Multipliers is applied in this paper. It is shown that the estimator derived in this pap

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4

Ng, Set Foong, Pei Eng Ch’ng, Yee Ming Chew, and Kok Shien Ng. "Applying the Method of Lagrange Multipliers to Derive an Estimator for Unsampled Soil Properties." Scientific Research Journal 11, no. 1 (2014): 15. http://dx.doi.org/10.24191/srj.v11i1.9398.

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Soil properties are very crucial for civil engineers to differentiate one type of soil from another and to predict its mechanical behavior. However, it is not practical to measure soil properties at all the locations at a site. In this paper, an estimator is derived to estimate the unknown values for soil properties from locations where soil samples were not collected. The estimator is obtained by combining the concept of the ‘Inverse Distance Method’ into the technique of ‘Kriging’. The method of Lagrange Multipliers is applied in this paper. It is shown that the estimator derived in this pap

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5

Ortenzi, Sofia, Martina Mangoni, and Lucio Di Matteo. "Estimating moisture content and hydraulic properties of unsaturated sandy soils of Tiber River (Central Italy): integrating data from calibrated PR2/6 probe and hydraulic property estimator." Acque Sotterranee - Italian Journal of Groundwater 11, no. 1 (2022): 17–25. http://dx.doi.org/10.7343/as-2022-541.

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The correct estimation of soil moisture data is essential in soil-water management and estimating the hydraulic properties of unsaturated soils. The increased use of Multi-Sensor Capacitance Probes (MCAPs) requires careful calibration. Without accurate calibration, the use of MCAPs leads to incorrect water content estimation, making them of no practical use. This work presents the specific calibration equations for the correct use of the PR2/6 profile probe on sands of different nature. As the iron oxides content of the Tiber River basin sands increases, the calibration lines slope increases,

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Mattikalli, N. M., E. T. Engman, L. R. Ahuja, and T. J. Jackson. "Microwave remote sensing of soil moisture for estimation of profile soil property." International Journal of Remote Sensing 19, no. 9 (1998): 1751–67. http://dx.doi.org/10.1080/014311698215234.

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Odgers, Nathan P., Alex B. McBratney, and Budiman Minasny. "Digital soil property mapping and uncertainty estimation using soil class probability rasters." Geoderma 237-238 (January 2015): 190–98. http://dx.doi.org/10.1016/j.geoderma.2014.09.009.

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8

Cho, Yongjin, Kenneth A. Sudduth, and Scott T. Drummond. "Profile Soil Property Estimation Using a VIS-NIR-EC-Force Probe." Transactions of the ASABE 60, no. 3 (2017): 683–92. http://dx.doi.org/10.13031/trans.12049.

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Abstract. Combining data collected in-field from multiple soil sensors has the potential to improve the efficiency and accuracy of soil property estimates. Optical diffuse reflectance spectroscopy (DRS) has been used to estimate many important soil properties, such as soil carbon, water content, and texture. Other common soil sensors include penetrometers that measure soil strength and apparent electrical conductivity (ECa) sensors. Previous field research has related these sensor measurements to soil properties such as bulk density, water content, and texture. A commercial instrument that can

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9

Zhang, Feixia, G. Ward Wilson, and D. G. Fredlund. "Permeability function for oil sands tailings undergoing volume change during drying." Canadian Geotechnical Journal 55, no. 2 (2018): 191–207. http://dx.doi.org/10.1139/cgj-2016-0486.

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The coefficient of permeability function is an important unsaturated soil property required when modeling seepage and contaminant transport phenomena. Inaccuracies in the estimation of the permeability function can lead to significant errors in numerical modeling results. Changes in void ratio and degree of saturation are factors that influence the permeability function. Presently available methodologies for estimating the unsaturated permeability function make the assumption that there is no volume change as soil suction is changed. As a result, volume changes are interpreted as changes in de

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10

Mohanty, Binayak P. "Soil Hydraulic Property Estimation Using Remote Sensing: A Review." Vadose Zone Journal 12, no. 4 (2013): vzj2013.06.0100. http://dx.doi.org/10.2136/vzj2013.06.0100.

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11

K. S. Lee, K. A. Sudduth, S. T. Drummond, D. H. Lee, N. R. Kitchen, and S. O. Chung. "Calibration Methods for Soil Property Estimation Using Reflectance Spectroscopy." Transactions of the ASABE 53, no. 3 (2010): 675–84. http://dx.doi.org/10.13031/2013.30059.

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Tan, Chee Ghuan, Taksiah Abdul Majid, Kamar Shah Ariffin, and Norazura Muhamad Bunnori. "Effects of Site Classification on Empirical Correlation between Shear Wave Velocity and Standard Penetration Resistance for Soils." Applied Mechanics and Materials 284-287 (January 2013): 1305–10. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.1305.

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In seismic engineering, the dynamic property of the soil is one of the most important aspects in ground response analysis. Dynamic property is significantly affected by local soil deposits. Shear wave velocity (Vs) of soil is one of the main parameters in determining the amplification factor on ground surface. It is not economically feasible to measure Vs for all sites. Therefore, a reliable empirical correlation between Vs and standard penetration resistance (Nspt) will be useful since Nspt data are easily obtainable in construction industry. This study aims to develop an empirical correlatio

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13

Cho, Yongjin, Kenneth A. Sudduth, and Sun-Ok Chung. "Soil physical property estimation from soil strength and apparent electrical conductivity sensor data." Biosystems Engineering 152 (December 2016): 68–78. http://dx.doi.org/10.1016/j.biosystemseng.2016.07.003.

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14

Cho, Yongjin, Alexander H. Sheridan, Kenneth A. Sudduth, and Kristen S. Veum. "Comparison of Field and Laboratory VNIR Spectroscopy for Profile Soil Property Estimation." Transactions of the ASABE 60, no. 5 (2017): 1503–10. http://dx.doi.org/10.13031/trans.12299.

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Abstract. In-field, in-situ data collection with soil sensors has potential to improve the efficiency and accuracy of soil property estimates. Optical diffuse reflectance spectroscopy (DRS) has been used to estimate important soil properties, such as soil carbon, nitrogen, water content, and texture. Most previous work has focused on laboratory-based visible and near-infrared (VNIR) spectroscopy using dried soil. The objective of this research was to compare estimates of laboratory-measured soil properties from a laboratory DRS spectrometer and an in-situ profile DRS spectrometer. Soil cores w

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15

Fredlund, Delwyn G., and Sandra L. Houston. "Protocol for the assessment of unsaturated soil properties in geotechnical engineering practice." Canadian Geotechnical Journal 46, no. 6 (2009): 694–707. http://dx.doi.org/10.1139/t09-010.

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The implementation of unsaturated soil mechanics into routine geotechnical engineering practice requires an evaluation of methodologies that may be used for the assessment of “unsaturated soil property functions.” Guidelines and recommendations need to be provided to practicing engineers. The guidelines need to take the form of “engineering protocols” that define acceptable standards for engineering practice. “Engineering protocols” for unsaturated soils engineering practice can be divided into “preliminary design” protocols and “final design” protocols. Both design levels involve the use of a

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16

Reidy, B., I. Simo, P. Sills та R. E. Creamer. "Pedotransfer functions for Irish soils – estimation of bulk density (<i>ρ</i><sub>b</sub>) per horizon type". SOIL 2, № 1 (2016): 25–39. http://dx.doi.org/10.5194/soil-2-25-2016.

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Abstract. Soil bulk density is a key property in defining soil characteristics. It describes the packing structure of the soil and is also essential for the measurement of soil carbon stock and nutrient assessment. In many older surveys this property was neglected and in many modern surveys this property is omitted due to cost both in laboratory and labour and in cases where the core method cannot be applied. To overcome these oversights pedotransfer functions are applied using other known soil properties to estimate bulk density. Pedotransfer functions have been derived from large internation

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17

Ren, Jianhua, Xiaojie Li, Sijia Li, Honglei Zhu, and Kai Zhao. "Quantitative Analysis of Spectral Response to Soda Saline-AlkaliSoil after Cracking Process: A Laboratory Procedure to Improve Soil Property Estimation." Remote Sensing 11, no. 12 (2019): 1406. http://dx.doi.org/10.3390/rs11121406.

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Cracking on the surface of soda saline-alkali soil is very common. In most previous studies, spectral prediction models of soil salinity were less accurate since spectral measurements were usually performed on 2 mm soil samples which cannot represent true soil surface condition very well. The objective of our research is to provide a procedure to improve soil property estimation of soda saline-alkali soil based on spectral measurement considering the texture feature of the soil surface with cracks. To achieve this objective, a cracking test was performed with 57 soil samples from Songnen Plain

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18

Kawamura, Kensuke, Tomohiro Nishigaki, Andry Andriamananjara, et al. "Using a One-Dimensional Convolutional Neural Network on Visible and Near-Infrared Spectroscopy to Improve Soil Phosphorus Prediction in Madagascar." Remote Sensing 13, no. 8 (2021): 1519. http://dx.doi.org/10.3390/rs13081519.

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As a proximal soil sensing technique, laboratory visible and near-infrared (Vis-NIR) spectroscopy is a promising tool for the quantitative estimation of soil properties. However, there remain challenges for predicting soil phosphorus (P) content and availability, which requires a reliable model applicable for different land-use systems to upscale. Recently, a one-dimensional convolutional neural network (1D-CNN) corresponding to the spectral information of soil was developed to considerably improve the accuracy of soil property predictions. The present study investigated the predictive ability

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19

Fredlund, Delwyn G., and Murray D. Fredlund. "Application of ‘Estimation Procedures’ in Unsaturated Soil Mechanics." Geosciences 10, no. 9 (2020): 364. http://dx.doi.org/10.3390/geosciences10090364.

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The application of unsaturated soil mechanics in routine geotechnical engineering applications requires the determination of unsaturated soil properties. Unfortunately, the cost of direct measurement of unsaturated soil properties goes beyond the financial budget of most clients. A solution has arisen, however, that involves the measurement of two less costly soil properties functions that can be used in conjunction with a series of assumptions and estimation methodologies. The two laboratory tests involve measurement of the: (i) gravimetric water content versus soil suction, referred to as th

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20

Xu, Zhengyuan, Shengbo Chen, Peng Lu, et al. "Optimizing a Standard Spectral Measurement Protocol to Enhance the Quality of Soil Spectra: Exploration of Key Variables in Lab-Based VNIR-SWIR Spectral Measurement." Remote Sensing 14, no. 7 (2022): 1558. http://dx.doi.org/10.3390/rs14071558.

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The method of proximal VNIR-SWIR (with a spectral region of 400–2500 nm) spectroscopy in a laboratory setting has been widely employed in soil property estimations. Increasing attention has been focused recently on establishing an agreed-upon protocol for soil spectral measurement, fueled by the recognition that studies carried out under different laboratory settings have made future data sharing and model comparisons difficult. This study aimed to explore the key factors in a lab-based spectral measurement procedure to provide recommendations for enhancing the spectra quality and promoting th

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21

Fredlund, Murray D., G. Ward Wilson, and Delwyn G. Fredlund. "Use of the grain-size distribution for estimation of the soil-water characteristic curve." Canadian Geotechnical Journal 39, no. 5 (2002): 1103–17. http://dx.doi.org/10.1139/t02-049.

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The implementation of unsaturated soil mechanics into engineering practice is dependent, to a large extent, upon an ability to estimate unsaturated soil property functions. The soil-water characteristic curve (SWCC), along with the saturated soil properties, has proven to provide a satisfactory basis for estimating the permeability function and shear strength functions for an unsaturated soil. The volume change functions have not been totally defined nor applied in geotechnical engineering. The objective of this paper is to present a procedure for estimating the SWCC from information on the gr

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22

KATSUMA, Shinya, Ryosuke YAJIMA, Shunsuke HAMASAKI, et al. "Soil Property Estimation Using 3-D Measurement Data for Autonomous Excavation in Consideration with Soil Properties." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2020 (2020): 2A2—A11. http://dx.doi.org/10.1299/jsmermd.2020.2a2-a11.

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23

Reidy, B., I. Simo, P. Sills, and R. E. Creamer. "Pedotransfer functions for Irish soils – estimation of bulk density (ρ<sub>b</sub>) per horizon type." SOIL Discussions 2, no. 2 (2015): 1039–74. http://dx.doi.org/10.5194/soild-2-1039-2015.

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Abstract. Soil bulk density is a key property in defining soil characteristics. It describes the packing structure of the soil and is also essential for the measurement of soil carbon stock and nutrient assessment. In many older surveys this property was neglected and in many modern surveys this property is omitted due to cost both in laboratory and labour and in cases where the core method cannot be applied. To overcome these oversights pedotransfer functions are applied using other known soil properties to estimate bulk density. Pedotransfer functions have been derived from large internation

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24

Angelopoulou, Theodora, Sabine Chabrillat, Stefano Pignatti, et al. "Evaluation of Airborne HySpex and Spaceborne PRISMA Hyperspectral Remote Sensing Data for Soil Organic Matter and Carbonates Estimation." Remote Sensing 15, no. 4 (2023): 1106. http://dx.doi.org/10.3390/rs15041106.

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Remote sensing and soil spectroscopy applications are valuable techniques for soil property estimation. Soil organic matter (SOM) and calcium carbonate are important factors in soil quality, and although organic matter is well studied, calcium carbonates require more investigation. In this study, we validated the performance of laboratory soil spectroscopy for estimating the aforementioned properties with referenced in situ data. We also examined the performance of imaging spectroscopy sensors, such as the airborne HySpex and the spaceborne PRISMA. For this purpose, we applied four commonly us

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25

TISCHLER, M., M. GARCIA, C. PETERSLIDARD, et al. "A GIS framework for surface-layer soil moisture estimation combining satellite radar measurements and land surface modeling with soil physical property estimation." Environmental Modelling & Software 22, no. 6 (2007): 891–98. http://dx.doi.org/10.1016/j.envsoft.2006.05.022.

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26

Varouchakis, E. A., G. V. Giannakis, M. A. Lilli, E. Ioannidou, N. P. Nikolaidis, and G. P. Karatzas. "Development of a statistical tool for the estimation of riverbank erosion probability." SOIL 2, no. 1 (2016): 1–11. http://dx.doi.org/10.5194/soil-2-1-2016.

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Abstract. Riverbank erosion affects river morphology and local habitat, and results in riparian land loss, property and infrastructure damage, and ultimately flood defence weakening. An important issue concerning riverbank erosion is the identification of the vulnerable areas in order to predict river changes and assist stream management/restoration. An approach to predict areas vulnerable to erosion is to quantify the erosion probability by identifying the underlying relations between riverbank erosion and geomorphological or hydrological variables that prevent or stimulate erosion. In the pr

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27

Zolfaghari Nia, Masoud, Mostafa Moradi, Gholamhosein Moradi, and Ruhollah Taghizadeh-Mehrjardi. "Machine Learning Models for Prediction of Soil Properties in the Riparian Forests." Land 12, no. 1 (2022): 32. http://dx.doi.org/10.3390/land12010032.

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Spatial variability of soil properties is a critical factor for the planning, management, and exploitation of soil resources. Thus, the use of different digital soil mapping models to provide accuracy plays a crucial role in providing soil physicochemical properties maps. Soil spatial variability in forest stands is not well-known in Iran. Meanwhile, riparian buffers are important for several services such as providing high water quality, nutrient recycling, and buffering agricultural production. Accordingly, in this research, 103 soil samples were taken using the Latin hypercubic method in th

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28

Neyshabouri, Mohammad Reza, Mehdi Rahmati, Claude Doussan, and Boshra Behroozinezhad. "Simplified estimation of unsaturated soil hydraulic conductivity using bulk electrical conductivity and particle size distribution." Soil Research 51, no. 1 (2013): 23. http://dx.doi.org/10.1071/sr12158.

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Unsaturated soil hydraulic conductivity K is a fundamental transfer property of soil but its measurement is costly, difficult, and time-consuming due to its large variations with water content (θ) or matric potential (h). Recently, C. Doussan and S. Ruy proposed a method/model using measurements of the electrical conductivity of soil core samples to predict K(h). This method requires the measurement or the setting of a range of matric potentials h in the core samples—a possible lengthy process requiring specialised devices. To avoid h estimation, we propose to simplify that method by introduci

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29

Azan Basallo, Yasser, FRANCISCO ANTONIO HORTA RANGEL, JULIO CESAR LEAL VACA, JOSE MIGUEL SORIA UGALDE, and Jorge Luis Morales Martínez. "ALTERNATIVE ESTIMATION OF THE SOIL WATER RETENTION CURVE BASED ON THE ARYA-PARIS MODEL." DYNA ENERGIA Y SOSTENIBILIDAD 12, no. 1 (2023): [11P.]. http://dx.doi.org/10.6036/es10775.

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ABSTRACT: The physical and chemical characteristics of a soil determine its hydraulic properties, such as hydraulic conductivity, infiltration, and moisture. Due to the usefulness of a soil's moisture retention characteristic curve, several methodologies have been developed to obtain it. Mathematical models for the prediction of this hydraulic property constitute a type of methodologies that is economical and very affordable. One of the most practical models is the model of Arya and Paris (1981), which, however, requires an adjustment parameter, which limits its applicability in some cases, an

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30

Yoon, Gil Lim, Byung Tak Kim, and Sang Soo Jeon. "Empirical correlations of compression index for marine clay from regression analysis." Canadian Geotechnical Journal 41, no. 6 (2004): 1213–21. http://dx.doi.org/10.1139/t04-057.

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Single and multiple regression models to estimate the compression index of marine clay in coastal areas in Korea were investigated based on soil property data from more than 1200 consolidation tests on undisturbed samples. Site-specific empirical correlations were proposed to estimate the compression index in terms of both single and multiple soil properties. The proposed regression equations were then compared with the existing empirical equations. It was found that the compression index predicted by a simple linear regression model involving the natural water content, natural void ratio, and

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Aashifa, M. A. R., and P. Loganathan. "Preliminary Studies on Existing Scenario of Selected Soil Property in Cheddikulam DS Division Vavuniya, Sri Lanka." International Journal of Environment 5, no. 4 (2017): 1–11. http://dx.doi.org/10.3126/ije.v5i4.16389.

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This study was conducted to quantify the spatial variability of soil properties, use this information to produce accurate map by means of ordinary kriging and find the ways to reclaim the problem soil and make suggestions to cultivate the crop variety which is suitable for the existing soil property.70 sampling points were selected for that research using stratified random sampling method. Stratification was based on the type of land cover, and following land cover patterns were identified forest patches, agriculture land patches, grass land patches and catchments. Sampling points were randoml

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32

Bahrawi, Jarbou A., Mohamed Elhag, Amal Y. Aldhebiani, Hanaa K. Galal, Ahmad K. Hegazy, and Ebtisam Alghailani. "Soil Erosion Estimation Using Remote Sensing Techniques in Wadi Yalamlam Basin, Saudi Arabia." Advances in Materials Science and Engineering 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/9585962.

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Soil erosion is one of the major environmental problems in terms of soil degradation in Saudi Arabia. Soil erosion leads to significant on- and off-site impacts such as significant decrease in the productive capacity of the land and sedimentation. The key aspects influencing the quantity of soil erosion mainly rely on the vegetation cover, topography, soil type, and climate. This research studies the quantification of soil erosion under different levels of data availability in Wadi Yalamlam. Remote Sensing (RS) and Geographic Information Systems (GIS) techniques have been implemented for the a

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LU, GUI-NING, CHEN YANG, XUE-QIN TAO, XIAO-YUN YI, and ZHI DANG. "ESTIMATION OF SOIL SORPTION COEFFICIENTS OF POLYCYCLIC AROMATIC HYDROCARBONS BY QUANTUM CHEMICAL DESCRIPTORS." Journal of Theoretical and Computational Chemistry 07, no. 01 (2008): 67–79. http://dx.doi.org/10.1142/s0219633608003599.

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Quantitative structure–property relationship (QSPR) modeling is a powerful approach for predicting environmental behavior of organic pollutants with their structure descriptors. This study reports an optimal QSPR model for estimating logarithmic soil sorption coefficients (log K OC ) of polycyclic aromatic hydrocarbons (PAHs). Quantum chemical descriptors computed using density functional theory at the B3LYP/6-31G(d) level and partial least squares (PLS) analysis with an optimizing procedure were used to generate QSPR models for log K OC of PAHs. The correlation coefficient of the optimal mode

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BITTAR, ROBERTO DIB, SUELI MARTINS DE FREITAS ALVES, and FRANCISCO RAMOS DE MELO. "ESTIMATION OF PHYSICAL AND CHEMICAL SOIL PROPERTIES BY ARTIFICIAL NEURAL NETWORKS." Revista Caatinga 31, no. 3 (2018): 704–12. http://dx.doi.org/10.1590/1983-21252018v31n320rc.

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ABSTRACT Soil physical and chemical analyses are relatively high-cost and time-consuming procedures. In the search for alternatives to predict these properties from a reduced number of soil samples, the use of Artificial Neural Networks (ANN) has been pointed out as a great computational technique to solve this problem by means of experience. This tool also has the ability to acquire knowledge and then apply it. This study aimed at using ANNs to estimate the physical and chemical properties of soil. The data came from the physical and chemical analysis of 120 sampling points, which were submit

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Nakhaei, Mohammad, and Jiří Šimůnek. "Parameter estimation of soil hydraulic and thermal property functions for unsaturated porous media using the HYDRUS-2D code." Journal of Hydrology and Hydromechanics 62, no. 1 (2014): 7–15. http://dx.doi.org/10.2478/johh-2014-0008.

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Abstract Knowledge of soil hydraulic and thermal properties is essential for studies involving the combined effects of soil temperature and water input on water flow and redistribution processes under field conditions. The objective of this study was to estimate the parameters characterizing these properties from a transient water flow and heat transport field experiment. Real-time sensors built by the authors were used to monitor soil temperatures at depths of 40, 80, 120, and 160 cm during a 10-hour long ring infiltration experiment. Water temperatures and cumulative infiltration from a sing

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Fredlund, Delwyn G. "State of practice for use of the soil-water characteristic curve (SWCC) in geotechnical engineering." Canadian Geotechnical Journal 56, no. 8 (2019): 1059–69. http://dx.doi.org/10.1139/cgj-2018-0434.

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Routine geotechnical engineering practice has witnessed a significant increase in the usage of unsaturated soil mechanics principles. Laboratory measurement of the soil-water characteristic curve (SWCC) for a soil has been labelled as a primary reason for the improved understanding of unsaturated soil behaviour. Laboratory measurement of the “shrinkage curve” has yielded further insight into the estimation of unsaturated soil property functions (USPFs). The USPFs provide the necessary information for the simultaneous numerical modeling of the saturated and unsaturated portions of the soil prof

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Almeida, Karla Silva Santos Alvares de, Luciano Da Silva Souza, Vital Pedro Da Silva Paz, Maurício Antônio Coelho Filho, and Eduardo Holzapfel Hoces. "Models for moisture estimation in different horizons of yellow argisol using TDR." Semina: Ciências Agrárias 38, no. 4 (2017): 1727. http://dx.doi.org/10.5433/1679-0359.2017v38n4p1727.

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The determination of soil moisture is very important because it is the property with the most influence on the dielectric constant of the medium. Time-domain reflectometry (TDR) is an indirect technique used to estimate the water content of the soil (?) based on its dielectric constant (Ka). Like any other technique, it has advantages and disadvantages. Among the major disadvantages is the need for calibration, which requires consideration of the soil characteristics. This study aimed to perform the calibration of a TDR100 device to estimate the volumetric water content of four horizons of a Y

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Chang, Chen-Chao, and Dong-Hui Cheng. "Predicting the soil water retention curve from the particle size distribution based on a pore space geometry containing slit-shaped spaces." Hydrology and Earth System Sciences 22, no. 9 (2018): 4621–32. http://dx.doi.org/10.5194/hess-22-4621-2018.

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Abstract. Traditional models employed to predict the soil water retention curve (SWRC) from the particle size distribution (PSD) always underestimate the water content in the dry range of the SWRC. Using the measured physical parameters of 48 soil samples from the UNSODA unsaturated soil hydraulic property database, these errors were proven to originate from an inaccurate estimation of the pore size distribution. A method was therefore proposed to improve the estimation of the water content at high suction heads using a pore model comprising a circle-shaped central pore connected to slit-shape

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Gnatowski, Tomasz. "Analysis of thermal diffusivity data determined for selected organic topsoil layer." Annals of Warsaw University of Life Sciences - SGGW. Land Reclamation 41, no. 2 (2009): 95–107. http://dx.doi.org/10.2478/v10060-008-0053-y.

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Analysis of thermal diffusivity data determined for selected organic topsoil layer Thermal diffusivity (KT) is a very complex soil property. However, proper estimation of this parameter is very important for the study of thermal processes in the soil. Nevertheless, the thermal diffusivity of peat and organic soils is not well characterized. The purpose of this study was to evaluate different methods for the assessment of the thermal diffusivity of selected organic topsoil layer. The first group of methods included calculation procedures developed from analytical solution of the heat transfer e

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Ouerghemmi, W., C. Gomez, S. Nacer, and P. Lagacherie. "SEMI-BLIND SOURCE SEPARATION FOR ESTIMATION OF CLAY CONTENT OVER SEMI-VEGETATED AREAS, FROM VNIR/SWIR HYPERSPECTRAL AIRBORNE DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W3 (August 19, 2015): 413–17. http://dx.doi.org/10.5194/isprsarchives-xl-3-w3-413-2015.

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The applicability of Visible, Near-Infrared and Short Wave Infrared (VNIR/SWIR) hyperspectral imagery for soil property mapping decreases when surfaces are partially covered by vegetation. The objective of this research was to develop and evaluate a methodology based on the “double-extraction” technique, for clay content estimation over semi-vegetated surfaces using VNIR/SWIR hyperspectral airborne data. The “double-extraction” technique initially proposed by Ouerghemmi et al. (2011) consists of 1) an extraction of a soil reflectance spectrum <i>s</i><sub>soil</sub> fro

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Rahman, Arafat, MJ Uddin, Md Raisuddin Sikder, et al. "Soil properties and carbon stock along the toposequence of Lalmai hill ecosystem of Bangladesh." Dhaka University Journal of Biological Sciences 30, no. 2 (2021): 331–43. http://dx.doi.org/10.3329/dujbs.v30i2.54658.

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A study was carried out in the Lalmai hill ecosystem of Bangladesh regarding their soil properties and soil organic carbon (SOC) stocks. The Lalmai hill ecosystem consists of three toposequence arrangements as hills, piedmonts, and floodplains. Forty-five soil samples covering nine soil profiles were selected to conduct the present study. Soil samples were collected at five different depths of 0-20 cm, 20-40 cm, 40-60 cm, 60-80 cm and 80-100 cm intervals from each pit of the study sites. Soil pH, percent SOC, percent total nitrogen (TN), bulk density, cation exchange capacity (CEC), particle s

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Wilson, Brian R., Phoebe Barnes, Terry B. Koen, Subhadip Ghosh, and Dacre King. "Measurement and estimation of land-use effects on soil carbon and related properties for soil monitoring: a study on a basalt landscape of northern New South Wales, Australia." Soil Research 48, no. 5 (2010): 421. http://dx.doi.org/10.1071/sr09146.

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There is a growing need for information relating to soil condition, its current status, and the nature and direction of change in response to management pressures. Monitoring is therefore being promoted regionally, nationally, and internationally to assess and evaluate soil condition for the purposes of reporting and prioritisation of funding for natural resource management. Several technical and methodological obstacles remain that impede the broad-scale implementation of measurement and monitoring schemes, and we present a dataset designed to (i) assess the optimum size of sample site for so

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Jiang, Xueqin, Shanjun Luo, Qin Ye, Xican Li, and Weihua Jiao. "Hyperspectral Estimates of Soil Moisture Content Incorporating Harmonic Indicators and Machine Learning." Agriculture 12, no. 8 (2022): 1188. http://dx.doi.org/10.3390/agriculture12081188.

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Soil is one of the most significant natural resources in the world, and its health is closely related to food security, ecological security, and water security. It is the basic task of soil environmental quality assessment to monitor the temporal and spatial variation of soil properties scientifically and reasonably. Soil moisture content (SMC) is an important soil property, which plays an important role in agricultural practice, hydrological process, and ecological balance. In this paper, a hyperspectral SMC estimation method for mixed soil types was proposed combining some spectral processin

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Pegalajar, M. C., L. G. B. Ruiz, and D. Criado-Ramón. "Munsell Soil Colour Classification Using Smartphones through a Neuro-Based Multiclass Solution." AgriEngineering 5, no. 1 (2023): 355–68. http://dx.doi.org/10.3390/agriengineering5010023.

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Colour is a property widely used in many fields to extract information in several ways. In soil science, colour provides information regarding the chemical and physical characteristics of soil, such as genesis, composition, and fertility, amongst others. Thus, accurate estimation of soil colour is essential for many disciplines. To achieve this, experts traditionally rely on comparing Munsell colour charts with soil samples, which is a laborious process. In this study, we proposed using artificial neural networks to catalogue soil colour with a two-step classification. Firstly, the hue variabl

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Andersen, Lars Vabbersgaard, John Dalsgaard Sørensen, Sun-Bin Kim, Jin-Hak Yi, Gil-Lim Yoon, and Lance Manuel. "Influence of Characteristic-Soil-Property-Estimation Approach on the Response of Monopiles for Offshore Wind Turbines." Journal of Ocean and Wind Energy 2, no. 3 (2015): 160–67. http://dx.doi.org/10.17736/jowe.2015.jcr39.

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Thnh, Nguyen Trung, Hichem Sahli, and Dinh Nho Ho. "Finite-Difference Methods and Validity of a Thermal Model for Landmine Detection With Soil Property Estimation." IEEE Transactions on Geoscience and Remote Sensing 45, no. 3 (2007): 656–74. http://dx.doi.org/10.1109/tgrs.2006.888862.

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Motoyama, Hiroki, and Muneo Hori. "Construction and Usefulness Verification of Modeling Method of Subsurface Soil Layers for Numerical Analysis of Urban Area Ground Motion." GeoHazards 3, no. 2 (2022): 242–51. http://dx.doi.org/10.3390/geohazards3020013.

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Estimation of urban seismic damage using numerical simulation needs an automatic modeling method of surface layers and residential buildings. This study focuses on modeling of surface layers and shows a method of constructing models by interpolating boring data. An important property of the modeling method is robustness, that means that the method works for boring data with inconsistent soil layers. To satisfy this, we developed the method using artificial layers. We applied the method to a test site and checked its robustness. This test also showed that the method gave realistic models. Final

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Castaldi, Fabio, Sabine Chabrillat, and Bas van Wesemael. "Sampling Strategies for Soil Property Mapping Using Multispectral Sentinel-2 and Hyperspectral EnMAP Satellite Data." Remote Sensing 11, no. 3 (2019): 309. http://dx.doi.org/10.3390/rs11030309.

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Designing a sampling strategy for soil property mapping from remote sensing imagery entails making decisions about sampling pattern and number of samples. A consistent number of ancillary data strongly related to the target variable allows applying a sampling strategy that optimally covers the feature space. This study aims at evaluating the capability of multispectral (Sentinel-2) and hyperspectral (EnMAP) satellite data to select the sampling locations in order to collect a calibration dataset for multivariate statistical modelling of the Soil Organic Carbon (SOC) content in the topsoil of c

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Zhang, Feixia, and D. G. Fredlund. "Examination of the estimation of relative permeability for unsaturated soils." Canadian Geotechnical Journal 52, no. 12 (2015): 2077–87. http://dx.doi.org/10.1139/cgj-2015-0043.

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The unsaturated permeability function is an important soil property function used in the numerical modeling of saturated–unsaturated soil systems. The permeability function is generally predicted by integrating along the soil-water characteristic curve (SWCC) starting at saturated soil conditions. The integration is based on a particular integral formula. The Fredlund–Xing–Huang permeability function is a flexible integration technique used for calculating the unsaturated permeability function. The original permeability theory published by Fredlund, Xing, and Huang in 1994 specified that the a

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Shang, Songhao. "Log-Cubic Method for Generation of Soil Particle Size Distribution Curve." Scientific World Journal 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/579460.

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Particle size distribution (PSD) is a fundamental physical property of soils. Traditionally, the PSD curve was generated by hand from limited data of particle size analysis, which is subjective and may lead to significant uncertainty in the freehand PSD curve and graphically estimated cumulative particle percentages. To overcome these problems, a log-cubic method was proposed for the generation of PSD curve based on a monotone piecewise cubic interpolation method. The log-cubic method and commonly used log-linear and log-spline methods were evaluated by the leave-one-out cross-validation metho

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