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Journal articles on the topic 'Soil surface parameter'

Author: Grafiati

Published: 16 June 2023

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1

Schreiner, Simon, Dubravko Culibrk, Michele Bandecchi, Wolfgang Gross, and Wolfgang Middelmann. "Soil monitoring for precision farming using hyperspectral remote sensing and soil sensors." at - Automatisierungstechnik 69, no. 4 (2021): 325–35. http://dx.doi.org/10.1515/auto-2020-0042.

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Abstract This work describes an approach to calculate pedological parameter maps using hyperspectral remote sensing and soil sensors. These maps serve as information basis for automated and precise agricultural treatments by tractors and field robots. Soil samples are recorded by a handheld hyperspectral sensor and analyzed in the laboratory for pedological parameters. The transfer of the correlation between these two data sets to aerial hyperspectral images leads to 2D-parameter maps of the soil surface. Additionally, rod-like soil sensors provide local 3D-information of pedological parameter

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Dumbrovský, Miroslav, Ivana Kameníčková, Jana Podhrázská, František Pavlík, and Veronika Sobotková. "Evaluation of soil conservation technologies from the perspective of selected physical soil properties and infiltration capacity of the soil." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 59, no. 1 (2011): 37–48. http://dx.doi.org/10.11118/actaun201159010037.

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This paper evaluates different technologies of soil cultivation (conventional and minimization) in terms of physical properties and water regime of soils, where infiltration of surface water is a major component of subsurface water. Soil physical properties (the current humidity, reduced bulk density, porosity, water retention capacity of soil, pore distribution and soil aeration) is determined from soil samples taken from the organic horizon according to standard methodology. To observe the infiltration characteristics of surface layers of topsoil, the drench method (double ring infiltrometer

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Marthews, T. R., C. A. Quesada, D. R. Galbraith, et al. "High-resolution hydraulic parameter maps for surface soils in tropical South America." Geoscientific Model Development 7, no. 3 (2014): 711–23. http://dx.doi.org/10.5194/gmd-7-711-2014.

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Abstract. Modern land surface model simulations capture soil profile water movement through the use of soil hydraulics sub-models, but good hydraulic parameterisations are often lacking, especially in the tropics. We present much-improved gridded data sets of hydraulic parameters for surface soil for the critical area of tropical South America, describing soil profile water movement across the region to 30 cm depth. Optimal hydraulic parameter values are given for the Brooks and Corey, Campbell, van Genuchten–Mualem and van Genuchten–Burdine soil hydraulic models, which are widely used hydraul

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Marthews, T. R., C. A. Quesada, D. R. Galbraith, et al. "High-resolution hydraulic parameter maps for surface soils in tropical South America." Geoscientific Model Development Discussions 6, no. 4 (2013): 6741–74. http://dx.doi.org/10.5194/gmdd-6-6741-2013.

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Abstract. Modern land surface model simulations capture soil profile water movement through the use of soil hydraulics sub-models, but good hydraulic parameterisations are often lacking, especially in the tropics. We present much-improved gridded datasets of hydraulic parameters for surface soil for the critical area of tropical South America, describing soil profile water movement across the region to 30 cm depth. Optimal hydraulic parameter values are given for the Brooks and Corey, Campbell, van Genuchten–Mualem and van Genuchten–Burdine soil hydraulic models, which are widely-used hydrauli

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Mohanty, Binayak P., and Jianting Zhu. "Effective Hydraulic Parameters in Horizontally and Vertically Heterogeneous Soils for Steady-State Land–Atmosphere Interaction." Journal of Hydrometeorology 8, no. 4 (2007): 715–29. http://dx.doi.org/10.1175/jhm606.1.

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Abstract In this study, the authors investigate effective soil hydraulic parameter averaging schemes for steady-state flow in heterogeneous shallow subsurfaces useful to land–atmosphere interaction modeling. “Effective” soil hydraulic parameters of the heterogeneous shallow subsurface are obtained by conceptualizing the soil as an equivalent homogeneous medium. It requires that the effective homogeneous soil discharges the same mean surface moisture flux (evaporation or infiltration) as the heterogeneous media. Using the simple Gardner unsaturated hydraulic conductivity function, the authors d

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Fang, Xu, Anna Muntwyler, Pascal Schneider, et al. "Exploring Key Soil Parameters Relevant to Arsenic and Cadmium Accumulation in Rice Grain in Southern China." Soil Systems 6, no. 2 (2022): 36. http://dx.doi.org/10.3390/soilsystems6020036.

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Paddy soils in some areas of southern China are contaminated by arsenic (As) and cadmium (Cd), threatening human health via the consumption of As- and/or Cd-tainted rice. To date, a quantitative understanding of how soil characteristics control As and Cd accumulation in rice grains under field conditions is still deficient. Based on 31 paired soil-grain samples collected in southern China, we statistically explored which soil parameter or parameter combination from various soil analyses best estimates As and Cd in rice. We found that CaCl2 extraction of field-moist soil collected at rice harve

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Nie, S., J. Zhu, and Y. Luo. "Simultaneous estimation of land surface scheme states and parameters using the ensemble Kalman filter: idealized twin experiments." Hydrology and Earth System Sciences Discussions 8, no. 1 (2011): 1433–68. http://dx.doi.org/10.5194/hessd-8-1433-2011.

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Abstract. The performance of the ensemble Kalman filter (EnKF) in soil moisture assimilation applications is investigated in the context of simultaneous state-parameter estimation in the presence of uncertainties from model parameters, initial soil moisture condition and atmospheric forcing. A physically-based land surface model is used for this purpose. Using a series of idealized twin experiments, model generated near-surface soil moisture observations are assimilated to estimate soil moisture state and three hydraulic parameters (the saturated hydraulic conductivity, the saturated soil mois

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ZHENG, Xingming, Kai ZHAO, and Xiaojie LI. "Accuracy Analysis of Agriculture Soil Surface Roughness Parameter." Journal of Geo-information Science 15, no. 5 (2013): 752. http://dx.doi.org/10.3724/sp.j.1047.2013.00752.

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9

Lehrsch, G. A., F. D. Whisler, and M. J. M. Römkens. "Selection of a Parameter Describing Soil Surface Roughness." Soil Science Society of America Journal 52, no. 5 (1988): 1439–45. http://dx.doi.org/10.2136/sssaj1988.03615995005200050044x.

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10

Nie, S., J. Zhu, and Y. Luo. "Simultaneous estimation of land surface scheme states and parameters using the ensemble Kalman filter: identical twin experiments." Hydrology and Earth System Sciences 15, no. 8 (2011): 2437–57. http://dx.doi.org/10.5194/hess-15-2437-2011.

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Abstract. The performance of the ensemble Kalman filter (EnKF) in soil moisture assimilation applications is investigated in the context of simultaneous state-parameter estimation in the presence of uncertainties from model parameters, soil moisture initial condition and atmospheric forcing. A physically based land surface model is used for this purpose. Using a series of identical twin experiments in two kinds of initial parameter distribution (IPD) scenarios, the narrow IPD (NIPD) scenario and the wide IPD (WIPD) scenario, model-generated near surface soil moisture observations are assimilat

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Mölders, Nicole. "Plant- and Soil-Parameter-Caused Uncertainty of Predicted Surface Fluxes." Monthly Weather Review 133, no. 12 (2005): 3498–516. http://dx.doi.org/10.1175/mwr3046.1.

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Abstract Simulated surface fluxes depend on one or more empirical plant or soil parameters that have a standard deviation (std dev). Thus, simulated fluxes will have a stochastic error (or std dev) resulting from the parameters’ std dev. Gaussian error propagation (GEP) principles are used to calculate the std dev for fluxes predicted by the hydro–thermodynamic soil–vegetation scheme to identify prediction limitations due to stochastic errors, parameterization weaknesses, and critical parameters, and to prioritize which parameters to measure with higher accuracy. Relative errors of net radiati

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Peng, Fei, and Guodong Sun. "Identifying Sensitive Model Parameter Combinations for Uncertainties in Land Surface Process Simulations over the Tibetan Plateau." Water 11, no. 8 (2019): 1724. http://dx.doi.org/10.3390/w11081724.

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Model parameters are among the primary sources of uncertainties in land surface models (LSMs). Over the Tibetan Plateau (TP), simulations of land surface processes, which have not been well captured by current LSMs, can significantly affect the accurate representations of the weather and climate impacts of the TP in numerical weather prediction and climate models. Therefore, to provide guidelines for improving the performance of LSMs over the TP, it is essential to quantify the uncertainties in the simulated land surface processes associated with model parameters and detect the most sensitive

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Jozefaciuk, Grzegorz, Kamil Skic, Agnieszka Adamczuk, Patrycja Boguta, and Krzysztof Lamorski. "Structure and Strength of Artificial Soils Containing Monomineral Clay Fractions." Materials 14, no. 16 (2021): 4688. http://dx.doi.org/10.3390/ma14164688.

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Structure and strength are responsible for soil physical properties. This paper determines in a uniaxial compression test the strength of artificial soils containing different proportions of various clay-size minerals (cementing agents) and silt-size feldspar/quartz (skeletal particles). A novel empirical model relating the maximum stress and the Young’s modulus to the mineral content basing on the Langmuir-type curve was proposed. By using mercury intrusion porosimetry (MIP), bulk density (BD), and scanning electron microscopy (SEM), structural parameters influencing the strength of the soils

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Zhu, Xiufang, Yaozhong Pan, Junxia Wang, and Ying Liu. "A Cuboid Model for Assessing Surface Soil Moisture." Remote Sensing 11, no. 24 (2019): 3034. http://dx.doi.org/10.3390/rs11243034.

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This study proposes a cuboid model for soil moisture assessment. In the model, the three edges were the meteorological, soil, and vegetation feature parameters highly related to soil moisture, and the edge lengths represented the degree of influence of each feature parameter on soil moisture. Soil moisture is assessed by the cuboid diagonal, which is referred to as the cuboid soil moisture index (CSMI) in this paper. The model was applied and validated in the Huang-Huai-Hai Plain. The results showed that (1) the difference in land surface temperature between day and night (ΔLST), land surface

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15

Richter, H., A. W. Western, and F. H. S. Chiew. "The Effect of Soil and Vegetation Parameters in the ECMWF Land Surface Scheme." Journal of Hydrometeorology 5, no. 6 (2004): 1131–46. http://dx.doi.org/10.1175/jhm-362.1.

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Abstract Numerical Weather Prediction (NWP) and climate models are sensitive to evapotranspiration at the land surface. This sensitivity requires the prediction of realistic surface moisture and heat fluxes by land surface models that provide the lower boundary condition for the atmospheric models. This paper compares simulations of a stand-alone version of the European Centre for Medium-Range Weather Forecasts (ECMWF) land surface scheme, or the Viterbo and Beljaars scheme (VB95), with various soil and vegetation parameter sets against soil moisture observations across the Murrumbidgee River

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Orth, Rene, Emanuel Dutra, and Florian Pappenberger. "Improving Weather Predictability by Including Land Surface Model Parameter Uncertainty." Monthly Weather Review 144, no. 4 (2016): 1551–69. http://dx.doi.org/10.1175/mwr-d-15-0283.1.

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Abstract The land surface forms an important component of Earth system models and interacts nonlinearly with other parts such as ocean and atmosphere. To capture the complex and heterogeneous hydrology of the land surface, land surface models include a large number of parameters impacting the coupling to other components of the Earth system model. Focusing on ECMWF’s land surface model Hydrology Tiled ECMWF Scheme of Surface Exchanges over Land (HTESSEL), the authors present in this study a comprehensive parameter sensitivity evaluation using multiple observational datasets in Europe. The auth

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Zhang, Xiong, Beshoy Riad, and Eduardo E. Alonso. "Calibration of BBM Parameters using the Modified State Surface Approach." E3S Web of Conferences 382 (2023): 15001. http://dx.doi.org/10.1051/e3sconf/202338215001.

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The Barcelona Basic Model (BBM) developed by Alonso et al. [1] is the first and the mostwidely used elasto-plastic model for unsaturated soils. The BBM successfully explained many key features of unsaturated soils and received extensive acceptance. However, there is lack of a well-establishedmethod for selecting parameter values for the BBM from laboratory tests, although a variety of methods have been recently developed for calibrating model parameters for the BBM. Concerns still exist on the correctness and robustness of such parameter value selection procedures. The above statements were ev

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Tong, J. X., J. Z. Yang, and B. X. Hu. "Parameter identification and analysis of soluble chemical transfer from soil to surface runoff." Hydrology and Earth System Sciences Discussions 9, no. 3 (2012): 3901–31. http://dx.doi.org/10.5194/hessd-9-3901-2012.

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Abstract. A two-layer mathematical model is used to predict the chemical transfer from the soil into the surface runoff with ponding water. There are two incomplete infiltration-related parameter γ and runoff-related parameter α in the analytical solution to the model, which were assumed to be constant in previous studies (Tong et al., 2010). In this study, experimental data are used to identify the variable γ and α based on the analytical solution. The soil depth of the mixing zone is kept to be constant in different experiments, and the values of γ and α before the surface runoff occurs are

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Peng, X., R. Horn, D. Deery, M. B. Kirkham, and J. Blackwell. "Influence of soil structure on the shrinkage behaviour of a soil irrigated with saline - sodic water." Soil Research 43, no. 4 (2005): 555. http://dx.doi.org/10.1071/sr04116.

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Soil structural properties of swelling/shrinking soils play an important role in assessing hydraulic properties. However, the effect of shrinkage/swelling processes on structure formation and strength especially in saline–sodic soils, such as a Typic Chromexert, has not yet been clarified. In this study, we investigate the changes in the shrinkage pattern after applying saline sewage water and use a 3-parameter sigmoidal curve model to fit its shrinkage data. Our aims were to determine the overall effect of sewage water application on soil structure and shrinkage processes after applying salin

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20

Baroni, G., A. Facchi, C. Gandolfi, B. Ortuani, D. Horeschi, and J. C. Van Dam. "Uncertainty in the determination of soil hydraulic parameters and its influence on the performance of two hydrological models of different complexity." Hydrology and Earth System Sciences Discussions 6, no. 3 (2009): 4065–105. http://dx.doi.org/10.5194/hessd-6-4065-2009.

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Abstract. Data of soil hydraulic properties forms often a limiting factor in unsaturated zone modelling, especially at the larger scales. Investigations for the hydraulic characterization of soils are time-consuming and costly, and the accuracy of the results obtained by the different methodologies is still debated. However, we may wonder how the uncertainty in soil hydraulic parameters relates to the uncertainty of the selected modelling approach. We performed an intensive monitoring study during the cropping season of a 10 ha maize field in Northern Italy. These data were used to: i) compare

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21

Jin, Menglin, and Shunlin Liang. "An Improved Land Surface Emissivity Parameter for Land Surface Models Using Global Remote Sensing Observations." Journal of Climate 19, no. 12 (2006): 2867–81. http://dx.doi.org/10.1175/jcli3720.1.

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Abstract Because land surface emissivity (ɛ) has not been reliably measured, global climate model (GCM) land surface schemes conventionally set this parameter as simply constant, for example, 1 as in the National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Prediction (NCEP) model, and 0.96 for bare soil as in the National Center for Atmospheric Research (NCAR) Community Land Model version 2 (CLM2). This is the so-called constant-emissivity assumption. Accurate broadband emissivity data are needed as model inputs to better simulate the land surface climate.

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22

Robertson, D., M. Wood, and Q. J. Wang. "Estimating hydraulic parameters for a surface irrigation model from field conditions." Australian Journal of Experimental Agriculture 44, no. 2 (2004): 173. http://dx.doi.org/10.1071/ea02191.

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Border-check irrigation is the most common method of irrigating pastures in Northern Victoria. To make the best use of a border-check irrigation system, consideration needs to be given to the irrigation schedule and irrigation event management. Surface irrigation models can provide an inexpensive and rapid method for identifying optimal irrigation event performance. The most common difficulty encountered when using surface irrigation models is determining appropriate hydraulic parameters. Two experiments were conducted to investigate the relationship between hydraulic parameters of the Analyti

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Soet, M., R. J. Ronda, J. N. M. Stricker, and A. J. Dolman. "Land surface scheme conceptualisation and parameter values for three sites with contrasting soils and climate." Hydrology and Earth System Sciences 4, no. 2 (2000): 283–94. http://dx.doi.org/10.5194/hess-4-283-2000.

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Abstract. The objective of the present study is to test the performance of the ECMWF land surface module (LSM) developed by Viterbo and Beljaars (1995) and to identify primary future adjustments, focusing on the hydrological components. This was achieved by comparing off-line simulations against observations and a detailed state-of-the-art model over a range of experimental conditions. Results showed that the standard LSM, which uses fixed vegetation and soil parameter values, systematically underestimated evapotranspiration, partly due to underestimating bare soil evaporation, which appeared

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Silburn, DM, and RJ Loch. "Evaluation of the CREAMS model. I. Sensitivity analysis of the soil erosion sedimentation component for aggregated clay soils." Soil Research 27, no. 3 (1989): 545. http://dx.doi.org/10.1071/sr9890545.

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The sensitivity of the soil erosion component of the CREAMS model to changes in various input parameters was assessed in the range of parameter values suited to erosion from aggregated clay soils. Predictions of total sediment yield were sensitive to changes in a number of parameters, and interactions between parameter values were observed, e.g., for situations when either detachment of sediment or transport capacity of overland flow limited sediment yield. The CREAMS model was classified as: (i) sensitive to: specific gravity of sediment (Sgi), slope steepness; (ii) sensitive under some condi

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Hossain, F., E. N. Anagnostou, and K. H. Lee. "A non-linear and stochastic response surface method for Bayesian estimation of uncertainty in soil moisture simulation from a land surface model." Nonlinear Processes in Geophysics 11, no. 4 (2004): 427–40. http://dx.doi.org/10.5194/npg-11-427-2004.

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Abstract. This study presents a simple and efficient scheme for Bayesian estimation of uncertainty in soil moisture simulation by a Land Surface Model (LSM). The scheme is assessed within a Monte Carlo (MC) simulation framework based on the Generalized Likelihood Uncertainty Estimation (GLUE) methodology. A primary limitation of using the GLUE method is the prohibitive computational burden imposed by uniform random sampling of the model's parameter distributions. Sampling is improved in the proposed scheme by stochastic modeling of the parameters' response surface that recognizes the non-linea

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Teuling, Adriaan J., Remko Uijlenhoet, Bart van den Hurk, and Sonia I. Seneviratne. "Parameter Sensitivity in LSMs: An Analysis Using Stochastic Soil Moisture Models and ELDAS Soil Parameters." Journal of Hydrometeorology 10, no. 3 (2009): 751–65. http://dx.doi.org/10.1175/2008jhm1033.1.

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Abstract Integration of simulated and observed states through data assimilation as well as model evaluation requires a realistic representation of soil moisture in land surface models (LSMs). However, soil moisture in LSMs is sensitive to a range of uncertain input parameters, and intermodel differences in parameter values are often large. Here, the effect of soil parameters on soil moisture and evapotranspiration are investigated by using parameters from three different LSMs participating in the European Land Data Assimilation System (ELDAS) project. To prevent compensating effects from other

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Gehne, Maria, Thomas M. Hamill, Gary T. Bates, Philip Pegion, and Walter Kolczynski. "Land Surface Parameter and State Perturbations in the Global Ensemble Forecast System." Monthly Weather Review 147, no. 4 (2019): 1319–40. http://dx.doi.org/10.1175/mwr-d-18-0057.1.

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Abstract The National Centers for Environmental Prediction (NCEP) Global Ensemble Forecast System (GEFS) is underdispersive near the surface, a common characteristic of ensemble prediction systems. Here, several methods for increasing the spread are tested, including perturbing soil initial conditions, soil tendencies, and surface parameters, with physically based perturbations. Perturbations are applied to the soil initial conditions based on empirical orthogonal functions (EOFs) of differences between normalized soil moisture states from two land surface models (LSMs). Perturbations to rough

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Kovář, P., D. Vaššová, and M. Janeček. "Surface runoff simulation to mitigate the impact of soil erosion, case study of Třebsín (Czech Republic)." Soil and Water Research 7, No. 3 (2012): 85–96. http://dx.doi.org/10.17221/50/2011-swr.

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The relation between soil erosion and its redistribution on land strictly depends on the process of surface runoff formation during intensive rainfall. Therefore, interrupting and reducing continuous surface runoff, using adequate conservation measures, may be implemented in order to reduce the shear stress of flowing water. This paper describes the outcomes of the KINFIL model simulation in assessing the runoff from extreme rainfall on hill slopes. The model is a physically based and parameter distributed 3D model that was applied at the Třebs&iacute;n experimental station in the Czech Re

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Szerakowska, Sylwia, Maria Jolanta Sulewska, Edward Stanisław Oczeretko, Jerzy Trzciński, and Barbara Woronko. "Application of Fractal Geometry in the Evaluation of Surface Microtexture of Soil Particles." Applied Mechanics and Materials 797 (November 2015): 238–45. http://dx.doi.org/10.4028/www.scientific.net/amm.797.238.

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The shape of particles building the solid phase of soils is an important factor influencing soil behaviour. Three parameters defining the characteristics of particle shape: roundness, angularity and texture are the most commonly analyzed. The most difficult issue is texture determination due to its complex nature. Quantitative evaluation of this parameter creates serious problems, however, is not impossible. A new mathematical tool, such as fractal geometry, may be helpful. Through the use of power law, fractal analysis allows to designate fractal dimension that specifies the complexity of the

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Holford, ICR, and AD Doyle. "Influence of intensity/quantity characteristics of soil phosphorus tests on their relationships to phosphorus responsiveness of wheat under field conditions." Soil Research 30, no. 3 (1992): 343. http://dx.doi.org/10.1071/sr9920343.

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Six soil phosphorus tests (lactate, Brayl, Bray2, neutral fluoride, Olsen and Colwell) were regressed against potassium chloride-soluble phosphorus (intensity) and isotopically exchangeable phosphorus (quantity) measured in 59 soils of the northern and central wheat belts of New South Wales. Wheat nutrition experiments on these soils during 1986-89 measured yield responses to phosphate and nitrogen fertilizers. Soil tests varied widely in their correlations with yield responsiveness to phosphate, with the lactate and Bray2 tests accounting for more than twice the variance accounted for by othe

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Bayad, Mohamed, Henry Wai Chau, Stephen Trolove, Jim Moir, Leo Condron, and Moussa Bouray. "The Relationship between Soil Moisture and Soil Water Repellency Persistence in Hydrophobic Soils." Water 12, no. 9 (2020): 2322. http://dx.doi.org/10.3390/w12092322.

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In this work, we modelled the response of soil water repellency (SWR) persistence to the decrease in moisture in drying soils, and we explored the implication of soil particle size distribution and specific surface area on the SWR severity and persistence. A new equation for the relationship between SWR persistence and soil moisture (θ) is described in this paper. The persistence of SWR was measured on ten different hydrophobic soils using water drop penetration time (WDPT) at decreasing levels of gravimetric water content. The actual repellency persistence showed a sigmoidal response to soil

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Maggioni, V., E. N. Anagnostou, and R. H. Reichle. "The impact of model and rainfall forcing errors on characterizing soil moisture uncertainty in land surface modeling." Hydrology and Earth System Sciences 16, no. 10 (2012): 3499–515. http://dx.doi.org/10.5194/hess-16-3499-2012.

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Abstract. The contribution of rainfall forcing errors relative to model (structural and parameter) uncertainty in the prediction of soil moisture is investigated by integrating the NASA Catchment Land Surface Model (CLSM), forced with hydro-meteorological data, in the Oklahoma region. Rainfall-forcing uncertainty is introduced using a stochastic error model that generates ensemble rainfall fields from satellite rainfall products. The ensemble satellite rain fields are propagated through CLSM to produce soil moisture ensembles. Errors in CLSM are modeled with two different approaches: either by

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Liu, Yongwei, Wen Wang, and Yiming Hu. "Investigating the impact of surface soil moisture assimilation on state and parameter estimation in SWAT model based on the ensemble Kalman filter in upper Huai River basin." Journal of Hydrology and Hydromechanics 65, no. 2 (2017): 123–33. http://dx.doi.org/10.1515/johh-2017-0011.

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Abstract This paper investigates the impact of surface soil moisture assimilation on the estimation of both parameters and states in the Soil and Water Assessment Tool (SWAT) model using the ensemble Kalman filter (EnKF) method in upper Huai River basin. The investigation is carried out through a series of synthetic experiments and real world tests using a merged soil moisture product (ESA CCI SM) developed by the European Space Agency, and considers both the joint state-parameter updating and only state updating schemes. The synthetic experiments show that with joint state-parameter update, t

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Yang, Yukun, Baoqin Wen, Longpeng Ding, Liqiao Li, Xinghua Chen, and Jingbin Li. "Soil Particle Modeling and Parameter Calibration for Use with Discrete Element Method." Transactions of the ASABE 64, no. 6 (2021): 2011–23. http://dx.doi.org/10.13031/trans.14083.

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HighlightsSoil particle shapes were statistically analyzed, and four representative particles were obtained.A particle model was established using three-dimensional non-contact surface topography.This study used a response surface design method to calibrate significant soil parameters.The simulation parameters were verified by rotary tiller experiment.Abstract. The discrete element method (DEM) has broad prospects for application in soil-tool simulations. To ensure the reliability of simulations, appropriate simulation parameters and particle modeling are essential. Therefore, in this article,

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Arsenault, Kristi R., Grey S. Nearing, Shugong Wang, Soni Yatheendradas, and Christa D. Peters-Lidard. "Parameter Sensitivity of the Noah-MP Land Surface Model with Dynamic Vegetation." Journal of Hydrometeorology 19, no. 5 (2018): 815–30. http://dx.doi.org/10.1175/jhm-d-17-0205.1.

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Abstract The Noah land surface model with multiple parameterization options (Noah-MP) includes a routine for the dynamic simulation of vegetation carbon assimilation and soil carbon decomposition processes. To use remote sensing observations of vegetation to constrain simulations from this model, it is necessary first to understand the sensitivity of the model to its parameters. This is required for efficient parameter estimation, which is both a valuable way to use observations and also a first or concurrent step in many state-updating data assimilation procedures. We use variance decompositi

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Fér, Miroslav, Martin Leue, Radka Kodešová, Horst H. Gerke, and Ruth H. Ellerbrock. "Droplet infiltration dynamics and soil wettability related to soil organic matter of soil aggregate coatings and interiors." Journal of Hydrology and Hydromechanics 64, no. 2 (2016): 111–20. http://dx.doi.org/10.1515/johh-2016-0021.

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Abstract The organo-mineral coatings of soil aggregates, cracks, and biopores control sorption and macropore-matrix exchange during preferential flow, in particular in the clay-illuvial Bt-horizon of Luvisols. The soil organic matter (SOM) composition has been hypothesized to explain temporal changes in the hydraulic properties of aggregate surfaces. The objective of this research was to find relations between the temporal change in wettability, in terms of droplet infiltration dynamics, and the SOM composition of coated and uncoated aggregate surfaces. We used 20 to 40 mm sized soil aggregate

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Soylu, M. E., E. Istanbulluoglu, J. D. Lenters, and T. Wang. "Quantifying the impact of groundwater depth on evapotranspiration in a semi-arid grassland region." Hydrology and Earth System Sciences 15, no. 3 (2011): 787–806. http://dx.doi.org/10.5194/hess-15-787-2011.

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Abstract. Interactions between shallow groundwater and land surface processes play an important role in the ecohydrology of riparian zones. Some recent land surface models (LSMs) incorporate groundwater-land surface interactions using parameterizations at varying levels of detail. In this paper, we examine the sensitivity of land surface evapotranspiration (ET) to water table depth, soil texture, and two commonly used soil hydraulic parameter datasets using four models with varying levels of complexity. The selected models are Hydrus-1D, which solves the pressure-based Richards equation, the I

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Vázquez, Eva Vidal, Sidney Rosa Vieira, Isabella Clerici De Maria, and Antonio Paz González. "Geostatistical analysis of microrelief of an oxisol as a function of tillage and cumulative rainfall." Scientia Agricola 66, no. 2 (2009): 225–32. http://dx.doi.org/10.1590/s0103-90162009000200012.

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Surface roughness can be influenced by type and intensity of soil tillage among other factors. In tilled soils microrelief may decay considerably as rain progresses. Geostatistics provides some tools that may be useful to study the dynamics of soil surface variability. The objective of this study was to show how it is possible to apply geostatistics to analyze soil microrelief variability. Data were taken at an Oxisol over six tillage treatments, namely, disk harrow, disk plow, chisel plow, disk harrow + disk level, disk plow + disk level and chisel plow + disk level. Measurements were made in

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Munoz-Martin, Joan Francesc, Nereida Rodriguez-Alvarez, Xavier Bosch-Lluis, and Kamal Oudrhiri. "Effective Surface Roughness Impact in Polarimetric GNSS-R Soil Moisture Retrievals." Remote Sensing 15, no. 8 (2023): 2013. http://dx.doi.org/10.3390/rs15082013.

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Single-pass soil moisture retrieval has been a key objective of Global Navigation Satellite System-Reflectometry (GNSS-R) for the last decade. Achieving this goal will allow small satellites with GNSS-R payloads to perform such retrievals at high temporal resolutions. Properly modeling the soil surface roughness is key to providing high-quality soil moisture estimations. In the present work, the Physical Optics and Geometric Optics models of the Kirchhoff Approximation are implemented to the coherent and incoherent components of the reflectometry measurements collected by the SMAP radar receiv

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Huang, Maoyi, Zhangshuan Hou, L. Ruby Leung, et al. "Uncertainty Analysis of Runoff Simulations and Parameter Identifiability in the Community Land Model: Evidence from MOPEX Basins." Journal of Hydrometeorology 14, no. 6 (2013): 1754–72. http://dx.doi.org/10.1175/jhm-d-12-0138.1.

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Abstract In this study, the authors applied version 4 of the Community Land Model (CLM4) integrated with an uncertainty quantification (UQ) framework to 20 selected watersheds from the Model Parameter Estimation Experiment (MOPEX) spanning a wide range of climate and site conditions to investigate the sensitivity of runoff simulations to major hydrologic parameters and to assess the fidelity of CLM4, as the land component of the Community Earth System Model (CESM), in capturing realistic hydrological responses. They found that for runoff simulations, the most significant parameters are those r

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Ta, Na, Chutian Zhang, Hongru Ding, and Qingfeng Zhang. "Effect of tillage, slope, and rainfall on soil surface microtopography quantified by geostatistical and fractal indices during sheet erosion." Open Geosciences 12, no. 1 (2020): 232–41. http://dx.doi.org/10.1515/geo-2020-0036.

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AbstractTillage and slope will influence soil surface roughness that changes during rainfall events. This study tests this effect under controlled conditions quantified by geostatistical and fractal indices. When four commonly adopted tillage practices, namely, artificial backhoe (AB), artificial digging (AD), contour tillage (CT), and linear slope (CK), were prepared on soil surfaces at 2 × 1 × 0.5 m soil pans at 5°, 10°, or 20° slope gradients, artificial rainfall with an intensity of 60 or 90 mm h−1 was applied to it. Measurements of the difference in elevation points of the surface profile

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Van Diest, H., and J. Kesselmeier. "Soil atmosphere exchange of carbonyl sulfide (COS) regulated by diffusivity depending on water-filled pore space." Biogeosciences 5, no. 2 (2008): 475–83. http://dx.doi.org/10.5194/bg-5-475-2008.

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Abstract. The exchange of carbonyl sulfide (COS) between soil and the atmosphere was investigated for three arable soils from Germany, China and Finland and one forest soil from Siberia for parameterization in the relation to ambient carbonyl sulfide (COS) concentration, soil water content (WC) and air temperature. All investigated soils acted as sinks for COS. A clear and distinct uptake optimum was found for the German, Chinese, Finnish and Siberian soils at 11.5%, 9%, 11.5%, and 9% soil WC, respectively, indicating that the soil WC acts as an important biological and physical parameter for

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Van Diest, H., and J. Kesselmeier. "Soil atmosphere exchange of Carbonyl Sulfide (COS) regulated by diffusivity depending on water-filled pore space." Biogeosciences Discussions 4, no. 5 (2007): 3701–22. http://dx.doi.org/10.5194/bgd-4-3701-2007.

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Abstract. The exchange of carbonyl sulfide (COS) between soil and the atmosphere was investigated for three arable soils from Germany, China and Finland and one forest soil from Siberia for parameterization in the relation to ambient carbonyl sulfide (COS) concentration, soil water content (WC) and air temperature. All investigated soils acted as significant sinks for COS. A clear and distinct uptake optimum was found for the German, Chinese, Finnish and Siberian soils at 11.5%, 9%, 11.5%, and 9% soil WC, respectively, indicating that the soil WC acts as an important biological and physical pa

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Silburn, D. M. "Hillslope runoff and erosion on duplex soils in grazing lands in semi-arid central Queensland. II. Simple models for suspended and bedload sediment." Soil Research 49, no. 2 (2011): 118. http://dx.doi.org/10.1071/sr09069.

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The use of simple models of soil erosion which represent the main effects of management in grazing lands in northern Australia is limited by a lack of measured parameter values. In particular, parameters are needed for erosion models (sediment concentration v. cover equations) used in daily soil-water balance models. For this research, we specifically avoided equations that use rainfall and runoff rates (e.g. peak flow), as current daily models are limited in their ability to estimate these rates. The resulting models will therefore give poor estimates of soil losses for individual events, but

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Alkassem Alosman, Mohamed, Stéphane Ruy, Samuel Buis, et al. "An Improved Method to Estimate Soil Hydrodynamic and Hydraulic Roughness Parameters by Using Easily Measurable Data During Flood Irrigation Experiments and Inverse Modelling." Water 10, no. 11 (2018): 1581. http://dx.doi.org/10.3390/w10111581.

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Surface irrigation is known as a highly water-consuming system and needs to be optimized to save water. Models can be used for this purpose but require soil parameters at the field scale. This paper aims to estimate effective soil parameters by combining: (i) a surface flow-infiltration model, namely CALHY; (ii) an automatic fitting algorithm based on the SIMPLEX method; and (iii) easily accessible and measurable data, some of which had never been used in such a process, thus minimizing parameter estimation errors. The validation of the proposed approach was performed through three successive

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Schweppe, Robert, Stephan Thober, Sebastian Müller, et al. "MPR 1.0: a stand-alone multiscale parameter regionalization tool for improved parameter estimation of land surface models." Geoscientific Model Development 15, no. 2 (2022): 859–82. http://dx.doi.org/10.5194/gmd-15-859-2022.

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Abstract. Distributed environmental models such as land surface models (LSMs) require model parameters in each spatial modeling unit (e.g., grid cell), thereby leading to a high-dimensional parameter space. One approach to decrease the dimensionality of the parameter space in these models is to use regularization techniques. One such highly efficient technique is the multiscale parameter regionalization (MPR) framework that translates high-resolution predictor variables (e.g., soil textural properties) into model parameters (e.g., porosity) via transfer functions (TFs) and upscaling operators

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Silburn, DM, and DM Freebairn. "Evaluations of the CREAMS model. III. Simulation of the hydrology of vertisols." Soil Research 30, no. 5 (1992): 547. http://dx.doi.org/10.1071/sr9920547.

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The CREAMS hydrology model was evaluated for two Vertisols, each with three fallow management strategies, by comparing predictions of runoff, soil moisture and drainage with 5-8 years of measured data. Model parameter values were derived by: (i) using a combination of measured site characteristics and published values, and (ii) optimizing selected parameters, particularly the runoff parameter (curve number). With parameter values from published sources, runoff was overpredicted by 1 to 39%; good estimates of total soil moisture were obtained. Using optimized curve numbers, runoff was predicted

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Gao, Chen, Min Xu, Hanzeyu Xu, and Wei Zhou. "Retrieving Photometric Properties and Soil Moisture Content of Tidal Flats Using Bidirectional Spectral Reflectance." Remote Sensing 13, no. 7 (2021): 1402. http://dx.doi.org/10.3390/rs13071402.

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Moisture content in tidal flats changes frequently and spatially on account of tidal fluctuations, which greatly influence the reflectance of the tidal flat surface. Precise prediction of the spatial-temporal variation of tidal flats’ moisture content is an important foundation of surface bio-geophysical information research by remote sensing. In this paper, we first measured the multi-angle reflectance of soil samples obtained from tidal flats in the northeastern Dongtai, Jiangsu Province, China, in the laboratory. Then, based on the particle swarm optimization (PSO) algorithm, we retrieved t

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Sufardi, Sufardi, Teti Arabia, Khairullah Khairullah, Karnilawati Karnilawati, Sahbudin Sahbudin, and Zainabun Zainabun. "Charge Characteristics and Cation Exchanges Properties of Hilly Dryland Soils Aceh Besar, Indonesia." Aceh International Journal of Science and Technology 9, no. 2 (2020): 90–101. http://dx.doi.org/10.13170/aijst.9.2.17565.

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Soil surface charge and cation exchange are important parameters of soil fertility in tropical soils. This study was conducted to investigate characteristics of surface charges and cation exchanges on four soil orders of the dryland in Aceh Besar district. The soil order includes Entisols Jantho (05o16’58.41” N; 95o37’51.82” E), Andisols Saree (05o27'15.6" N; 95o44'09,1" E), Inceptisols Cucum (05º18’18,37” N; 95º32’48,04” E), dan Oxisols Lembah Seulawah (05o27’19,4” N; 95o46’19,2” E). The charge characteristics of surface charge are evaluated from the parameter of DpH (pHH2O-pHKCl), variable c

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CHE, AILAN, XIANQI LUO, JINGHUA QI, and DEYONG WANG. "STUDY ON CORRELATION BETWEEN SHEAR WAVE VELOCITY AND GROUND PROPERTIES FOR GROUND LIQUEFACTION INVESTIGATION OF SILTS." International Journal of Modern Physics B 22, no. 31n32 (2008): 5705–10. http://dx.doi.org/10.1142/s0217979208051042.

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Shear wave velocity (V s ) of soil is one of the key parameters used in assessment of liquefaction potential of saturated soils in the base with leveled ground surface; determination of shear module of soils used in seismic response analyses. Such parameter can be experimentally obtained from laboratory soil tests and field measurements. Statistical relation of shear wave velocity with soil properties based on the surface wave survey investigation, and resonant column triaxial tests, which are taken from more than 14 sites within the depth of 10 m under ground surface, is obtained in Tianjin (

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