scholarly journals Effect of biogas waste applications on soil moisture characteristic curve and assessment of the predictive accuracy of the Van Genuchten model

2021 ◽  
Vol 10 (2) ◽  
pp. 142-149
Author(s):  
Pelin ALABOZ ◽  
Sinan DEMİR ◽  
Orhan DENGİZ ◽  
İbrahim ÖZ
Keyword(s):  
Soil Moisture ◽  
Predictive Accuracy ◽  
Characteristic Curve ◽  
Van Genuchten Model ◽  
Moisture Characteristic

COMPARISON OF METHODS FOR DETERMINING SATURATED HYDRAULIC CONDUCTIVITY AND DRAINABLE POROSITY OF TWO SOUTHERN ALBERTA SOILS

1986 ◽  
Vol 66 (2) ◽  
pp. 249-259 ◽  
Author(s):  
G. D. BUCKLAND ◽  
D. B. HARKER ◽  
T. G. SOMMERFELDT
Keyword(s):  
Soil Moisture ◽  
Hydraulic Conductivity ◽  
Characteristic Curve ◽  
Subsurface Drainage ◽  
Saturated Hydraulic Conductivity ◽  
Drainage Design ◽  
Moisture Characteristic ◽  
Constant Head ◽  
Subsurface Drains ◽  
Drainable Porosity

Saturated hydraulic conductivity (Ks) and drainable porosity (f) determined by different methods and for different depths were compared with those determined from the performance of drainage systems installed at two locations. These comparisons were made to determine which methods are suitable for use in subsurface drainage design. Auger hole and constant-head well permeameter Ks were 140 and 110%, respectively, of Ks determined from subsurface drains. Agreement of horizontal or vertical Ks, from in situ falling-head permeameters; to other methods was satisfactory providing sample numbers were large. Ks by Tempe cells was only 3–10% of drain Ks and in one instance was significantly lower than Ks determined by all other methods. At one site a profile-averaged value of f determined from the soil moisture characteristic curve (0–5 kPa) of semidisturbed cores agreed with that determined from drainage trials. At the other site, a satisfactory value of f was found only when the zone in which the water table fluctuated was considered. Results indicate that Ks determined by the auger hole and constant-head well permeameter methods, and f determined from the soil moisture characteristic curve of semidisturbed cores, are sufficiently reliable and practical for subsurface drainage design. Key words: Subsurface drainage, hydraulic conductivity, drainable porosity

Arbuscular mycorrhizae and soil/plant water relations

2004 ◽  
Vol 84 (4) ◽  
pp. 373-381 ◽  
Author(s):  
Robert M. Augé
Keyword(s):  
Soil Moisture ◽  
Stomatal Conductance ◽  
Water Relations ◽  
Arbuscular Mycorrhizae ◽  
Glomus Intraradices ◽  
Sandy Loam ◽  
Characteristic Curve ◽  
Mycorrhizal Symbiosis ◽  
Plant Colonization ◽  
Moisture Characteristic

The water relations of arbuscular mycorrhizal (AM) plants have been compared often. However, virtually nothing is known about the comparative water relations of AM and nonAM soils or about the relative influence of AM colonization of soil vs. AM colonization of plants on host water balance. In this review, I summarize findings that support the assertion that colonization of soil may play as important a role as colonization of roots regarding how AM symbiosis affects the water relations of host plants. We observed a slight but significant AM effect on the soil moisture characteristic curve of a Sequatchie fine sandy loam following 7 mo of mycorrhization by Glomus intraradices/Vigna unguiculata. In a separate study, few AM effects on either the wet or dry hysteretic curves were discernible after 12 mo of mycorrhization by G. intraradices or Gigaspora margarita on roots of Phaseolus vulgaris. Using myc- bean mutants, we determined that about half of the considerable promotion of stomatal conductance by G. intraradices and Gi. margarita was attributable to soil colonization and about half to plant colonization. A path analysis modeling approach revealed that soil hyphal colonization had larger direct and total effects on dehydration tolerance of bean than did root hyphal colonization or several other soil or plant variables. Key words: Mycorrhizal symbiosis, soil moisture characteristic, stomatal conductance, water relations

The Estimation of Soil Moisture Characteristic Curve and Model Parameters in a Steep Hillslope

2017 ◽  
Vol 17 (6) ◽  
pp. 175-184 ◽  
Author(s):  
Minji Cho ◽  
◽  
Yongseok Gwak ◽  
Sanghyun Kim ◽  
◽  
...  
Keyword(s):  
Soil Moisture ◽  
Characteristic Curve ◽  
Model Parameters ◽  
Moisture Characteristic

scholarly journals A scaling approach, predicting the continuous form of soil moisture characteristics curve, from soil particle size distribution and bulk density data

2013 ◽  
Vol 10 (11) ◽  
pp. 14305-14329 ◽  
Author(s):  
F. Meskini-Vishkaee ◽  
M. H. Mohammadi ◽  
M. Vanclooster
Keyword(s):  
Particle Size ◽  
Soil Moisture ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Characteristic Curve ◽  
Soil Samples ◽  
Continuous Form ◽  
Packing Parameter ◽  
Physically Based ◽  
Moisture Characteristic

Abstract. A substantial number of models, predicting the Soil Moisture Characteristic Curve (SMC) from Particle Size Distribution (PSD) data, underestimate the dry range of the SMC especially in soils with high clay and organic matter contents. In this study, we applied a continuous form of the PSD model to predict the SMC and subsequently, we developed a physically based scaling approach to reduce the model's bias at the dry range of the SMC. The soil particles packing parameter, obtained from the porosity was considered as a characteristic length. The model was tested by using eighty-two soil samples, selected from the UNSODA database. The result showed that the scaling approach properly estimate the SMC for all soil samples. In comparison to the formerly used physically based SMC model, the proposed approach improved the model estimations by an average of 30% for all soil samples. However, the advantage of this new approach was larger for the fine and medium textured soils than that for the coarse textured soil. In view that in this approach there is no further need for empirical parameters, we conclude that this approach could become applicable for estimating SMC at the larger field scale.

Application of Differential Evolution Cuckoo Search Algorithm in Parameter Optimization of VG Equation

2021 ◽  
Vol 35 (09) ◽  
pp. 2159033
Author(s):  
Bo Yuan ◽  
Deji Chen
Keyword(s):  
Soil Moisture ◽  
Differential Evolution ◽  
Parameter Optimization ◽  
Optimization Model ◽  
Hybrid Algorithm ◽  
Search Algorithm ◽  
Characteristic Curve ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Moisture Characteristic

Van Genuchten (VG) equation is the most commonly used equation of soil moisture characteristic curve, and the accuracy of its parameters directly affects the calculation accuracy of soil moisture motion equation. In order to obtain the parameters of the equation more accurately, this paper establishes an optimization model of the VG equation parameters. This optimization model uses the advantages of the cuckoo search algorithm and the differential evolution algorithm to combine the two into a new hybrid cuckoo search algorithm, namely DECS algorithm, and uses this algorithm to solve the parameter optimization problem of VG equation of soil moisture characteristic curve. By collecting and analyzing the relevant experimental data of various soil qualities, the dehumidification and moisture absorption curves of three different soil qualities were selected for simulation calculation. The results show that in the experiment of solving the parameter estimation problem of the VG equation, the DECS hybrid algorithm has better exploration and development capabilities than the cuckoo search algorithm. The hybrid algorithm has relatively significant performance in terms of calculation accuracy and convergence.

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