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 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.

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.

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.

scholarly journals Traffic and Tillage Effects on Soil Water Conservation and Winter Wheat Yield in the Loess Plateau, China

2013 ◽  
Vol 20 (3) ◽  
pp. 507-517
Author(s):  
Hao Chen
Keyword(s):  
Soil Water ◽  
Loess Plateau ◽  
Crop Yield ◽  
Water Conservation ◽  
Wheat Yield ◽  
Soil Layer ◽  
Water Infiltration ◽  
No Tillage ◽  
Yearly Variation ◽  
Controlled Traffic

Abstract In semi-humid Loess Plateau of northern China, water is the limiting factor for rain-fed crop yields. In this region, long-term traditional ploughing with straw removal has resulted in poor soil structure, water conservation and crop yield. Controlled traffic, combined with no-till and straw cover has been proposed to improve soil water conservation and crop yield. From 1999 to 2007, a field experiment on winter wheat was conducted in the dryland area of Loess Plateau of northern China, to investigate the effects of traffic and tillage on soil water conservation and crop yield. The field experiment was conducted using two controlled traffic treatments, no tillage with residue cover and no compaction (NTCN), shallow tillage with residue cover and no compaction (STCN) and one conventional tillage treatment (CK). Results showed that controlled traffic system reduced soil compaction in the top soil layer, increased soil water infiltration. The benefit on soil water infiltration translated into more soil conservation (16.1%) in 0-100 cm soil layer in fellow period, and achieved higher soil water availability at planting (16.5%), with less yearly variation. Consequently, controlled traffic system increased wheat yield by 12.6% and improved water use efficiency by 5.2%, both with less yearly variation, compared with conventional tillage. Within controlled traffic treatments, no tillage treatment NTCN showed better overall performance. In conclusion, controlled traffic combined with no-tillage and straw cover has higher performance on conserving water, improving yield and water use efficiency. It is a valuable system for soil and water conservation for the sustainable development of agriculture in dryland China.

scholarly journals Development and analysis of the Soil Water Infiltration Global database

2018 ◽  
Vol 10 (3) ◽  
pp. 1237-1263 ◽  
Author(s):  
Mehdi Rahmati ◽  
Lutz Weihermüller ◽  
Jan Vanderborght ◽  
Yakov A. Pachepsky ◽  
Lili Mao ◽  
...  
Keyword(s):  
Land Use ◽  
Soil Water ◽  
Land Surface ◽  
Agricultural Land ◽  
Water Infiltration ◽  
Pedotransfer Functions ◽  
Dominant Type ◽  
Global Database ◽  
Soil Water Infiltration ◽  
Infiltration Models

Abstract. In this paper, we present and analyze a novel global database of soil infiltration measurements, the Soil Water Infiltration Global (SWIG) database. In total, 5023 infiltration curves were collected across all continents in the SWIG database. These data were either provided and quality checked by the scientists who performed the experiments or they were digitized from published articles. Data from 54 different countries were included in the database with major contributions from Iran, China, and the USA. In addition to its extensive geographical coverage, the collected infiltration curves cover research from 1976 to late 2017. Basic information on measurement location and method, soil properties, and land use was gathered along with the infiltration data, making the database valuable for the development of pedotransfer functions (PTFs) for estimating soil hydraulic properties, for the evaluation of infiltration measurement methods, and for developing and validating infiltration models. Soil textural information (clay, silt, and sand content) is available for 3842 out of 5023 infiltration measurements (∼ 76%) covering nearly all soil USDA textural classes except for the sandy clay and silt classes. Information on land use is available for 76 % of the experimental sites with agricultural land use as the dominant type (∼ 40%). We are convinced that the SWIG database will allow for a better parameterization of the infiltration process in land surface models and for testing infiltration models. All collected data and related soil characteristics are provided online in *.xlsx and *.csv formats for reference, and we add a disclaimer that the database is for public domain use only and can be copied freely by referencing it. Supplementary data are available at https://doi.org/10.1594/PANGAEA.885492 (Rahmati et al., 2018). Data quality assessment is strongly advised prior to any use of this database. Finally, we would like to encourage scientists to extend and update the SWIG database by uploading new data to it.

The effect of land cover/vegetation on soil water dynamic in the hilly area of the loess plateau, China

CATENA ◽  
2007 ◽  
Vol 70 (2) ◽  
pp. 200-208 ◽  
Author(s):  
Liding Chen ◽  
Zhilin Huang ◽  
Jie Gong ◽  
Bojie Fu ◽  
Yilong Huang
Keyword(s):  
Land Cover ◽  
Soil Water ◽  
Loess Plateau ◽  
The Loess Plateau ◽  
Hilly Area ◽  
Soil Water Dynamic

scholarly journals Water mass balance in the case of vertical infiltration

2013 ◽  
Vol 7 (3) ◽  
pp. 274-280
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Algebraic Model ◽  
Water Infiltration ◽  
Wetting Front ◽  
Retention Curve ◽  
Soil Water Infiltration ◽  
Cumulative Infiltration ◽  
Richard's Equation ◽  
Water Mass Balance

Water movement in the unsaturated zone is an important hydrological process. Richard’s equation is windily used to describe both soil water infiltration and soil water absorption. Various methods have been developed to solve Richard’s equation. Wang et al. (2003) have developed an algebraic model for the description of soil water infiltration, based on Parlange’s solution of Richard’s equation and on soil retention curve and hydraulic conductivity equation given by Brooks and Corey. Their model utilizes experimental measurements of the cumulative infiltration volume and the wetting front distance as functions of time in order to describe soil water infiltration. The objective of this paper is to test the accuracy of the Wang et al. algebraic model for the one-dimensional (vertical) soil water infiltration. A vertical infiltration experiment was conducted on a sandy soil, for the measurement of the cumulative infiltration volume and the wetting front distance. Soil water content was determined at selected times and positions, using gamma ray absorption. Additionally the hydraulic conductivity K(θ) and the soil retention curve Ψ(θ) were determined. The algebraic model developed by Wang et al., was found simple to use since the required data are the cumulative infiltration (F), the wetting front distance (zf) and the initial and saturated soil water content (θi and θs respectively). The results show a fair agreement between calculated and measured values on soil water content profiles, hydraulic conductivity and on the water mass balance.

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.

scholarly journals Improving Infiltration Prediction by Point-based PTFs for Some Soils in Southern of Iran

2021 ◽  
Author(s):  
Maryam Molayem ◽  
S A. Abtahi ◽  
M. Jafarinia ◽  
J. Yasrebi
Keyword(s):  
Soil Water ◽  
Regional Scale ◽  
Water Infiltration ◽  
Ann Model ◽  
Sodic Soils ◽  
Soil Water Infiltration ◽  
Infiltration Models ◽  
Ann Models ◽  
Better Than ◽  
Mlr Model

Abstract Modeling soil water infiltration at the field scale with ruler of calcareous, saline and sodic conditions is important for a better understanding of infiltration processes in these soils and future of infiltration modeling. The aim of the present study was to derive and evaluate soil water infiltration models for some calcareous, saline and sodic soils in Marvdasht plain, southern of Iran. The infiltration data was measured in 72 locations at the regional scale with 3 replications. In each location, the basic soil properties were also measured. The multiple linear regression (MLR) and feed-forward multilayer perceptron artificial neural networks (ANN) model were used to estimate cumulative soil water infiltration at different time. The results performance of water infiltration models such as Kostiakov, Kostiakov–Lewis, USDA-NRCS, Philip, Horton and Green-Ampt models according to the mean R2, ME, RMSE and SDRMSE indices for all soils showed the Kostiakov–Lewis model provided the most accurate predictions. Moreover, the results showed that the derived ANN models at different times with a R2 of 0.438-0.661 and a RMSE of 0.977-17.111 performed better than MLR model. There would be great interest to improve the cumulative soil water infiltration in site-specific soil utilization, management and protection of the environment by MLR and ANN methods.

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