scholarly journals Effect of Moistube Fertigation on Infiltration and Distribution of Water-Fertilizer in Mixing Waste Biomass Soil

2019 ◽  
Vol 11 (23) ◽  
pp. 6757 ◽  
Author(s):  
Sun ◽  
Li ◽  
Liu ◽  
Cui ◽  
Gao ◽  
...  
Keyword(s):  
Soil Water ◽  
Infiltration Rate ◽  
Available P ◽  
Distribution Characteristics ◽  
Waste Biomass ◽  
Mixing Ratio ◽  
Infiltration Model ◽  
Nitrate N ◽  
Cumulative Infiltration ◽  
Fertilizer Solution

A series of indoor soil box simulation experiments were carried out to investigate the infiltration capacity of fertilizer solution in mixing waste biomass and the distribution characteristics of water-fertilizer in wetted soil under moistube fertigation. The infiltration rate and cumulative infiltration of moistube fertigation in soils as well as the distribution characteristics of water-fertilizer (soil water, nitrate–N, available P, and available K) in wetted soil were studied in three waste biomass (peanut shell) mixing ratios (MR1.5%, MR3.0%, and MR4.5%) taking a not amended soil as control (CK). The cumulative infiltration of fertilizer solution and the distribution of water-fertilizer were fitted by a modified infiltration model. Results indicated that increasing the mixing ratio improved significantly the infiltration rate and cumulative infiltration of fertilizer solution and the distribution area and content of water-fertilizer in amended wetting soil compared with CK. The relationship between the cumulative infiltration of fertilizer solution and infiltration time conformed to the Kostiakov infiltration model. The distribution uniformity coefficient of soil water and nitrate–N increased with the increase in waste biomass mixing ratio, whereas available P and available K decreased in wetted soil. The 4-parameter log-logistic model fitted well with the distribution of water-fertilizer in mixing waste biomass wetted soil under moistube fertigation. The research results could provide a theoretical basis and practical reference for the popularization and application of new moistube fertigation technology.

Infiltration Characteristics of Soil Moisture in Liangping County

2014 ◽  
Vol 641-642 ◽  
pp. 183-186
Author(s):  
Shu Yan ◽  
Juan Gao ◽  
Zhong Yuan Zhang ◽  
Feng Lin Zuo ◽  
Wei Hua Zhang
Keyword(s):  
Soil Moisture ◽  
Soil Water ◽  
Infiltration Rate ◽  
Water Shortage ◽  
Water Infiltration ◽  
Soil Infiltration ◽  
Infiltration Model ◽  
Double Ring ◽  
Soil Water Infiltration ◽  
Relationship Of

In order to relieve water shortage, many countries develop water-saving industries and increase water use rate of irrigation. The research on soil water infiltration has important effect on infiltration and runoff, as well as for irrigation. The study carried out in Liangping district of Chongqing by using double ring infiltration method and exploring the reasonable infiltration model in the study area. The relationship of initial soil moisture and irrigation coefficient was studied as well. The results showed that: the Kostiakov empirical formula could simulate the process of soil water infiltration properly. The soil infiltration rate of Liangping is 0.0320cm/min in the selected location.

Evaluation and modelling of furrow infiltration for uncropped ridge - furrow tillage in Loess Plateau soils

Soil Research ◽  
2012 ◽  
Vol 50 (5) ◽  
pp. 360 ◽  
Author(s):  
Yongyong Zhang ◽  
Pute Wu ◽  
Xining Zhao ◽  
Ping Li
Keyword(s):  
Soil Water ◽  
Loess Plateau ◽  
Water Infiltration ◽  
Flow Section ◽  
Design Management ◽  
Infiltration Model ◽  
Cumulative Infiltration ◽  
Infiltration Models ◽  
Soil Water Dynamic ◽  
Semi Arid Region

The soil water dynamic process is critical for the design, management, and evaluation of ridge–furrow tillage in the semi-arid region of the Loess Plateau. The aim of this study was to determine the effectual infiltration variables, to evaluate the performance of four classical infiltration models, and to investigate the effect of those variables on the infiltration characteristics in a ridge–furrow configuration. Sixteen experimental treatments with two replications were conducted to monitor furrow infiltration in four types of Loess Plateau soils. The path analysis method was applied to quantify the effects of variables—opportunity time (T), initial soil water content (Q), bulk density (P), flow section area (S), and wetted perimeter (Wp) as independent variables—on cumulative infiltration (I). The results revealed that the direct effects of variables Wp, P, T, Q, and S on I were 0.751, –0.649, 0.291, –0.251, and –0.123, respectively. Variables Wp and P were the effectual components of furrow infiltration. The direct effect and total effect of Q on I were relatively minor compared with the other variables. The performance of four infiltration models (Philip model, Kostiakov–Lewis model, Kostiakov model, and Horton model) was investigated on the basis of evaluation indices. The Kostiakov–Lewis infiltration model with three parameters provided the best description of the relationship between cumulative infiltration and time. The influence of Wp on the constant coefficient k of the Kostiakov–Lewis model was significant. A furrow infiltration model taking Wp into consideration was developed. Validations in different Wp of two other soil types indicated that the soil water infiltration characteristics could be effectively simulated by the effectual variable based model for an uncropped ridge–furrow system. The information obtained from this research is useful in designing irrigation schemes and field management for ridge–furrow tillage.

scholarly journals Performance of Horton Infiltration model in Predicting the Infiltration Capacity of some Soils of the Sudan Savanna of Nigeria.

2019 ◽  
pp. 10-16
Author(s):  
Girei A. ◽  
Nabayi A. ◽  
Aliyu J. ◽  
Garba J. ◽  
Hashim S. ◽  
...  
Keyword(s):  
Particle Density ◽  
Field Measurements ◽  
Infiltration Rate ◽  
Coefficient Of Determination ◽  
Infiltration Capacity ◽  
Undisturbed Soil ◽  
Infiltration Model ◽  
Double Ring ◽  
Cumulative Infiltration ◽  
Sudan Savanna

Infiltration study is very crucial in modelling water requirement of crops during their growth season. Infiltration rate measurements were carried out on dryland areas of Sokoto, Sudan savanna ecological zone of Nigeria; using the double ring infiltrometer. Disturbed and undisturbed soil samples were used to determine some physical characteristics (Texture, Saturated hydraulic Conductivity, particle density, bulk density, porosity and organic matter) of the soil. The results showed that the cumulative infiltration predicted by Horton infiltration model was very close to the field measurements for all the spots from the average values (3.35, 2.83 and 1.71 cm/min) and predicted rates (2.37,2.34 and 1.54 cm/min) with coefficient of determination (R2) close to unity (0.98, 0.97, 0.97) for the three spots. The study showed that the Horton infiltration model can be applied to estimate infiltration characteristics of some soils in Sudan Savanna of Nigeria.

scholarly journals Cumulative infiltration and infiltration rate prediction using optimized deep learning algorithms: A study in Western Iran

2021 ◽  
Vol 35 ◽  
pp. 100825
Author(s):  
Mahdi Panahi ◽  
Khabat Khosravi ◽  
Sajjad Ahmad ◽  
Somayeh Panahi ◽  
Salim Heddam ◽  
...  
Keyword(s):  
Deep Learning ◽  
Learning Algorithms ◽  
Infiltration Rate ◽  
Western Iran ◽  
Rate Prediction ◽  
Cumulative Infiltration

scholarly journals Effect of Nano-Carbon on Water Holding Capacity in a Sandy Soil of the Loess Plateau

2017 ◽  
Vol 21 (4) ◽  
pp. 189-195 ◽  
Author(s):  
Beibei Zhou ◽  
Xiaopeng Chen
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Loess Plateau ◽  
Sandy Soil ◽  
Water Retention ◽  
Soil Mixture ◽  
Cumulative Infiltration ◽  
Nano Carbon ◽  
Water Contents ◽  
Soil Water Contents

The poor water retention capacity of sandy soils commonly aggregate soil erosion and ecological environment on the Chinese Loess Plateau. Due to its strong capacity for absorption and large specific surface area, the use of nanocarbon made of coconut shell as a soil amendment that could improve water retention was investigated. Soil column experiments were conducted in which a layer of nanocarbon mixed well with the soil was formed at a depth of 20 cm below the soil surface. Four different nanocarbon contents by weight (0%, 0.1%, 0.5%, and 1%) and five thicknesses of the nanocarbon- soil mixture layer ranging from 1 to 5 cm were considered. Cumulative infiltration and soil water content distributions were determined when water was added to soil columns. Soil Water Characteristic Curves (SWCC) were obtained using the centrifuge method. The principal results showed that the infiltration rate and cumulative infiltration increased with the increases of nanocarbon contents, to the thicknesses of the nano carbon-soil mixture layer. Soil water contents that below the soil-nano carbon layer decreased sharply. Both the Brooks-Corey and van Genuchten models could describe well the SWCC of the disturbed sandy soil with various nano carbon contents. Both the saturated water content (θs), residual water content (θr) and empirical parameter (α) increased with increasing nano carbon content, while the pore-size distribution parameter (n) decreased. The available soil water contents were efficiently increased with the increase in nanocarbon contents.

Using time compression approximation to determine actual infiltration rate from variable rainfall events

2017 ◽  
Vol 50 (1) ◽  
pp. 155-165 ◽  
Author(s):  
Yanyan Cheng ◽  
Guotao Cui ◽  
Jianting Zhu
Keyword(s):  
Infiltration Rate ◽  
Maximum Error ◽  
Richards Equation ◽  
Rainfall Time Series ◽  
Rainfall Events ◽  
Practical Applications ◽  
Time Compression ◽  
Cumulative Infiltration ◽  
Rainfall Patterns ◽  
Numerical Solver

Abstract Understanding infiltration into soils from rainfall events is important for many practical applications. The idea of time compression approximation (TCA) was proposed to simulate infiltration rate, which only requires the relationship between the potential infiltration rate (PIR) and potential cumulative infiltration (PCI). The TCA-based method can be used in any rainfall–runoff models since the PIR vs. PCI relationship can be developed independent of actual rainfall patterns. The main objective of this study is to establish guidelines on when this method can be adequately applied. The results based on the TCA are compared with those from the field observations and the Richards equation numerical solver for observed rainfall events and randomly generated rainfall patterns with prescribed temporal variabilities and hiatuses. For continuous rainfall with potential ponding, the maximum error of infiltration amount using the TCA-based method is less than 5%. The TCA-based method, in general, underestimates the total infiltration amount from variable rainfall events. Variance in rainfall time series does not significantly affect the errors of using the TCA-based method to determine the actual infiltration rate. The TCA-based method can produce reasonable results in simulating the actual infiltration rate for rainfall events with a short hiatus.

scholarly journals Predicted Infiltration for Sodic/Saline Soils from Reclaimed Coastal Areas: Sensitivity to Model Parameters

2014 ◽  
Vol 2014 ◽  
pp. 1-12
Author(s):  
Dongdong Liu ◽  
Dongli She ◽  
Shuang’en Yu ◽  
Guangcheng Shao ◽  
Dan Chen
Keyword(s):  
Water Movement ◽  
Soil Surface ◽  
Coastal Areas ◽  
Model Parameters ◽  
Wetting Front ◽  
Sodic Soils ◽  
Infiltration Process ◽  
Infiltration Model ◽  
Soil Physical Quality ◽  
Cumulative Infiltration

This study was conducted to assess the influences of soil surface conditions and initial soil water content on water movement in unsaturated sodic soils of reclaimed coastal areas. Data was collected from column experiments in which two soils from a Chinese coastal area reclaimed in 2007 (Soil A, saline) and 1960 (Soil B, nonsaline) were used, with bulk densities of 1.4 or 1.5 g/cm3. A 1D-infiltration model was created using a finite difference method and its sensitivity to hydraulic related parameters was tested. The model well simulated the measured data. The results revealed that soil compaction notably affected the water retention of both soils. Model simulations showed that increasing the ponded water depth had little effect on the infiltration process, since the increases in cumulative infiltration and wetting front advancement rate were small. However, the wetting front advancement rate increased and the cumulative infiltration decreased to a greater extent whenθ0was increased. Soil physical quality was described better by theSparameter than by the saturated hydraulic conductivity since the latter was also affected by the physical chemical effects on clay swelling occurring in the presence of different levels of electrolytes in the soil solutions of the two soils.

scholarly journals Soil Water Infiltration Model for Sprinkler Irrigation Control Strategy: A Case for Tea Plantation in Yangtze River Region

Agriculture ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 206
Author(s):  
Lu ◽  
Liu ◽  
Montazar ◽  
Paw U ◽  
Hu
Keyword(s):  
Soil Water ◽  
Sprinkler Irrigation ◽  
Application Rate ◽  
Water Infiltration ◽  
Water Application ◽  
Slope Gradient ◽  
Infiltration Depth ◽  
Infiltration Model ◽  
Soil Water Infiltration ◽  
River Region

The sprinkler irrigation method is widely applied in tea farms in the Yangtze River region, China, which is the most famous tea production area. Knowledge of the optimal irrigation time for the sprinkler irrigation system is vital for making the soil moisture range consistent with the root boundary to attain higher yield and water use efficiency. In this study, we investigated the characteristics of soil water infiltration and redistribution under the irrigation water applications rates of 4 mm/h, 6 mm/h, and 8 mm/h, and the slope gradients of 0°, 5°, and 15°. A new soil water infiltration model was established based on water application rate and slope gradient. Infiltration experimental results showed that soil water infiltration rate increased with the application rate when the slope gradient remained constant. Meanwhile, it decreased with the increase in slope gradient at a constant water application rate. In the process of water redistribution, the increment of volumetric water content (VWC) increased at a depth of 10 cm as the water application rate increased, which affected the ultimate infiltration depth. When the slope gradient was constant, a lower water application rate extended the irrigation time, but increased the ultimate infiltration depth. At a constant water application rate, the infiltration depth increased with the increase in slope gradient. As the results showed in the infiltration model validation experiments, the infiltration depths measured were 38.8 cm and 41.1 cm. The relative errors between measured infiltration depth and expected value were 3.1% and 2.7%, respectively, which met the requirement of the soil moisture range consistent with the root boundary. Therefore, this model could be used to determine the optimal irrigation time for developing a sprinkler irrigation control strategy for tea fields in the Yangtze River region.

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