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 Application of Horton’s infiltration model for the soil of Dediapada (Gujarat), India

2018 ◽  
Vol 10 (4) ◽  
pp. 1254-1258
Author(s):  
M H Fadadu ◽  
P K Shrivastava ◽  
D K Dwivedi
Keyword(s):  
Infiltration Rate ◽  
Least Square ◽  
Coefficient Of Determination ◽  
Reliable Estimate ◽  
Observation Data ◽  
Infiltration Capacity ◽  
Infiltration Model ◽  
Agricultural Engineering ◽  
Double Ring ◽  
A Site

The design and evaluation of surface irrigation systems of a site requires reliable data of infiltration which could be provided by an infiltration model. In this study, Horton’s infiltration model has been estimated for the soil located in a field of College of Agricultural Engineering and Technology, Dediapada, Gujarat using the infiltration data obtained from several locations in the field using double ring infiltrometer. The decay constant of the Horton’s infiltration model was obtained using graphical method and also by using semi-log plot of t (time) vs. (f – fc), where f is the infiltration rate (mm/hr) and fc is the initial rate of infiltration capacity (mm/hr). The potential of the Horton’s infiltration model so obtained was evaluated by least square fitting with the observed infiltration data. The Horton’s infiltration model was used to estimate infiltration rate (mm/hr) and cumulative infiltration (cm). The Horton’s model for infiltration rate obtained by semi-log plot method was obtained as i=20 + 94 e-1.02t, where i=infiltration rate (mm/hr) and t= time (min). The coefficient of determination obtained when the infiltration model was applied to observation data taken at various points in the field were found to 0.96. Therefore, it could be inferred that the Horton’s infiltration model could give a reliable estimate of infiltration for the soil of Dediapada.  

scholarly journals Evaluation of Infiltration Rate of Landmark University Soils, Omu-Aran, Nigeria

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
O.O Elemile ◽  
O.O Ibitoye ◽  
O.P Folorunso ◽  
E.M Ibitogbe
Keyword(s):  
Particle Density ◽  
Soil Analysis ◽  
Infiltration Rate ◽  
Mean Value ◽  
Outer Ring ◽  
Infiltration Capacity ◽  
Double Ring ◽  
Infiltration Rates ◽  
Significant Difference ◽  
Effective Drainage

The processing of adequate information of characteristics of soils is essential for designing quality soil management and construction practices on agricultural and urban lands. Little is known about the infiltration capacity of soils in institutions of higher learning, this study therefore evaluated the infiltration capacity of soils in the Landmark University, Omu-Aran. The double ring infiltrometer with an inner ring of 30 cm and a 50 cm diameter outer ring with a height of 30 cm above the ground was used to test infiltration rates at two sites, namely the University of Omu-Aran’s orchard area (OA) and the new college building area (NCBA). Six points labelled (A, B, C, D, E and F) were identified at 10 m grid intervals at which infiltration rates were determined using a 30 cm inner ring double ring infiltrometer and a 30 cm height outer ring. Results of soil analysis suggests sand dirty and silt texture and bulk density and particle density varied from 2.54–3.03 g/cm3 and 1.31–1.52 g/cm3 respectively. The infiltration rates ranged between 0.007 to 0.011 cm/sec with a mean of 0.009cm/sec in orchard area (OA) and 0.011 to 0.035 cm/sec with a mean value of 0.021 cm/sec in NCBA indicating a significant difference at both locations. The infiltration rate of soils at the OA is very low compare to that of NCBA therefore the OA is more prone to flooding. Effective drainage control system is recommended along the orchard area to prevent flooding.

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 Evaluating three commonly used infiltration methods for permeable surfaces in urban areas using the SWMM and STORM

2021 ◽  
Author(s):  
Frida E. Å. Parnas ◽  
Elhadi M. H. Abdalla ◽  
Tone M. Muthanna
Keyword(s):  
Urban Areas ◽  
Sandy Soils ◽  
High Sensitivity ◽  
Field Measurements ◽  
Infiltration Rate ◽  
Infiltration Capacity ◽  
Infiltration Process ◽  
Sewer Systems ◽  
Combined Sewer

Abstract Climate change and urbanization increase the pressure on combined sewer systems in urban areas resulting in elevated combined sewer overflows, degraded water quality in receiving waters, and changing stream flows. Permeable surfaces offer infiltration potential, which can contribute to alleviate the runoff to combined sewer systems. The variation in urban soil characteristics and the initial moisture conditions before a rainfall event are important factors affecting the infiltration process and consequently runoff characteristics. In this study, the urban hydrological models SWMM and STORM are used to evaluate the Green-Ampt, Horton, and Holtan infiltration methods for three urban sandy soils. A sensitivity analysis was carried out on a set of key parameter values. In addition, long-term simulations were conducted to evaluate the ability to account for initial soil moisture content. The results showed that the Holtan method's ability to account for both available storage capacity and maximum infiltration rate, as well as evapotranspiration in the regeneration of infiltration capacity, gave the best result with regards to runoff behaviour, especially for long-term simulations. Furthermore, the results from the urban sandy soils with different infiltration rate at saturation, together with a high sensitivity to the degree of sensitivity for maximum infiltration rate under dry conditions and minimum infiltration rate under wet conditions, indicate that field measurements of infiltration rate should be carried out at saturation for these soils.

scholarly journals Evaluation of Kostiakov’s and Philip’s infiltration models on the soil of Dediapada, India

2018 ◽  
Vol 10 (3) ◽  
pp. 1073-1077 ◽  
Author(s):  
A H Jagani ◽  
P K Shrivastava ◽  
D K Dwivedi
Keyword(s):  
Simulated Data ◽  
Infiltration Rate ◽  
Coefficient Of Determination ◽  
Infiltration Depth ◽  
Clay Loam Soil ◽  
Double Ring ◽  
Infiltration Rates ◽  
Estimated Parameters ◽  
Infiltration Models ◽  
Loam Soil

Infiltration models are used in designing and optimizing irrigation projects as they are capable of predicting infiltration rate and accumulated infiltration depth to a reasonable level of accuracy. The objective of this study deals with obtaining the parameters of infiltration models like Kostiakov and Philip, applying these models to the soil of Dediapada and evaluating their performance by comparing it with the observed infiltration. Firstly, the accumulated infiltration and infiltration rates were determined by the field measurement using a double ring infiltrometer. Kostiakov’s and Philip’s infiltration models were then applied to obtain simulated data once its parameters were ascertained. The estimated parameters ‘m’ and ‘n’ for the Kostiakov model were 0.1311 and -0.3092 respectively and the corresponding equations obtained for estimating infiltration rate and accumulated infiltration depth were 0.13t-0.30 and 0.19t0.69. The estimated parameters ‘s’ and ‘k’ for the Philip model were 0.32 and 0.014 respectively and the corresponding equations obtained for estimating infiltration rate and accumulated infiltration depth were 0.16t-0.5+0.014 and 0.32t0.5+0.014t. The coefficient of determination values for evaluating the performance of the model were obtained in excess of 0.95 for both the models. Due to lack of research on the application of infiltration models on the clay loam soil of Dediapada, this study would prove to be useful for estimation of infiltration rate and depth.

scholarly journals Excel Approach for Infiltration Capacity for Different Lands

2018 ◽  
pp. 1-18
Author(s):  
Alaa Nabil El-Hazek
Keyword(s):  
Land Cover ◽  
Coefficient Of Determination ◽  
Infiltration Capacity ◽  
Microsoft Excel ◽  
Infiltration Model ◽  
Infiltration Rates ◽  
Loamy Sand Soil ◽  
Sandy Clay ◽  
Infiltration Models ◽  
Different Types

This paper presents an Excel approach for infiltration capacity for different types of lands. That is to employ the popular Microsoft Excel software to represent the measured infiltration data graphically. Regression analysis is performed for the accumulated infiltration versus the time. Equations are obtained to predict the accumulated infiltration at required times. Thirty one raw infiltration measurements from various sources are gathered, studied and analyzed applying this approach. Measurements include different types of soil textures and land covers. The infiltration rates are measured by the commonly used infiltrometer. Both single infiltrometer and double infiltrometer are employed. It is concluded that the presented Polynomial infiltration model of Excel approach for the accumulated infiltration is associated with high accuracy, where the values of coefficient of determination (R2) range between 0.9850 and 0.9998. The obtained equations can help in irrigation processes. All the gathered raw experimental infiltration measurements are also analyzed employing Horton and Kostiakov infiltration models. It is found that the Polynomial infiltration model of Excel approach has higher accuracy, followed by Kostiakov model, and finally Horton model. The values of different constants of Horton and Kostiakov infiltration models for all cases are obtained. The accuracy of the Polynomial, Horton and Kostiakov infiltration models are studied considering the types of soil texture and land cover. Investigating the constants A, B and C of the obtained equation of the polynomial infiltration model of Excel approach, it is found that all A values are negative, all B values are positive, and all C values are positive except for sandy clay and sandy clay loam soils. There is no specific trend for the effect of the associated land cover on constants A, B, and C except for loamy sand soil, where B and C values for bare land are greater than their values for irrigated land.

scholarly journals A NOVEL METHODOLOGY FOR INFILTRATION MODEL STUDIES

2020 ◽  
Vol 5 (3) ◽  
pp. 190-199
Author(s):  
Sunith David ◽  
Akash Shaji ◽  
Ashmy M S ◽  
Neenu Raju ◽  
Nimisha Sebastian
Keyword(s):  
Ground Water ◽  
Hydrological Cycle ◽  
Infiltration Rate ◽  
Degree Of Saturation ◽  
Model Studies ◽  
Infiltration Model ◽  
Double Ring ◽  
Ground Water Recharge ◽  
Infiltration Models ◽  
Water Recharge

Infiltration is treated as one of the important parameter of the hydrological cycle as far as ground water recharge is concerned. It depends on soil characteristics such as soil texture, hydraulic conductivity, soil structure, vegetation cover, porosity, permeability, degree of saturation etc. Determination of infiltration rates is useful for mitigation of hydrological riskand reflects the future of ground water resources in the study area. Infiltration of water into the soil is determined by a simple instrument called Double ring infiltrometer. Infiltration models are the empirical formulae developed using infiltration concepts which is used to determine the infiltration rate of soil. One way ANOVA test was performed to find the significance of the infiltration models. In the present study an attempt is made to validate the Horton’s model, Green ampt model and Kostiakov’s infiltration model with observed field data for a residential area, Ernakulam. From the present study significant model for the particular site is determined by using decision factor analysis.

scholarly journals Evaluation of the infiltration capacity of soil in a winter wheat stand during the growing season 2010

2011 ◽  
Vol 59 (6) ◽  
pp. 225-234
Author(s):  
Tomáš Mašíček ◽  
František Toman ◽  
Martina Vičanová ◽  
Věra Hubačíková
Keyword(s):  
Soil Moisture ◽  
Winter Wheat ◽  
Field Measurements ◽  
Growing Season ◽  
Specific Weight ◽  
Infiltration Capacity ◽  
Undisturbed Soil ◽  
Volume Weight ◽  
Basin Irrigation ◽  
Moisture Conditions

The aim of the presented paper was to map the course of infiltration during the growing season of 2010 in a winter wheat stand on a selected locality in the Sazomín cadastral area on the basis of selected hydro-physical properties of soil (specific weight, reduced volume weight, actual soil moisture, absorptivity, retention water capacity, porosity, capillary, semi-capillary and non-capillary pores and aeration) evaluated from the analyses of undisturbed soil samples. In order to assess the infiltration capacity of soil at the U Jasana locality in the season April–October, four surveys were realized always with three measurements within each of the surveys. The measurement of infiltration took place in the form of basin irrigation. To evaluate field measurements of infiltration empirical relations were used, namely Kostiakov equations. The highest cumulative infiltration and speed of infiltration were noted in June at the high actual soil moisture and closed stand. In case of October measurement, effects of agro-technical operations became evident on the slightly lower infiltration capacity of soil as compared to June measurements at nearly identical moisture conditions. The lowest infiltration capacity of soil reaching the same level, namely in spite of different moisture conditions and the stand character (July – full-grown stand, August – stubble-field) was found in July and August.

ANALYSIS OF INFILTRATION RELATIONS WITH LAND PHYSICAL PROPERTIES

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Awliya Tribhuwana ◽  
Agung Prasetyo
Keyword(s):  
Physical Properties ◽  
Water Content ◽  
Infiltration Rate ◽  
Soil Conditions ◽  
Infiltration Capacity ◽  
Constant Rate ◽  
Cumulative Infiltration ◽  
Before And After ◽  
Normal Soil ◽  
Dry Water

ABSTRACTSoil types have different infiltration rates and vary depending on the characteristics of the soil, how the infiltration relationship occurs with dry water content and saturated water content, infiltration relationship with the soil after being compacted and before compacted and how the infiltration rate of the two types of relationship and how infiltration water that happened. Soil tests are carried out in the laboratory, soil water content before and after the soil has been solidified, changes in the time of infiltration capacity with the Horton equation, rain hydrograph for overall infiltration analysis, including cumulative infiltration and runoff rates.Soils experience porosity filling not as great as in normal soil conditions, normal soil conditions changes in water content reaches 5.22 mm/hour while in soil conditions that experience changes in water content compaction at 30 minutes by 0.14 mm/hour and experiences a constant rate in the 40th minute at a rate of 0.20 mm/hour, so there is a difference in water content of 5.08 mm/hour between normal soil and soil after solidification, due to compacting it causes runoff of 8.92 mm/hour, normal soil with runoff of 3.78 mm/hour.Keyword :  Infiltration, soil physical properties, runoff.

scholarly journals The determination of reasonable number of soil infiltration test in farmland

2019 ◽  
Vol 136 ◽  
pp. 07020
Author(s):  
Xu Yang ◽  
Jiamin Yu ◽  
Yangren Wang ◽  
Yanjie Li
Keyword(s):  
Statistical Analysis ◽  
Soil Infiltration ◽  
Infiltration Process ◽  
Infiltration Model ◽  
Double Ring ◽  
Reasonable Number ◽  
Cumulative Infiltration ◽  
Infiltration Test ◽  
Experimental Base

At the experimental base of Tianjin Agricultural University, the infiltration process of water was measured by double - ring infiltration instrument at six points. Horton，Philip and Kostiakov-lewis (K-l) infiltration models were fitted with the infiltration data measured and the parameters were correspondingly obtained. Six sets of parameters of the corresponding infiltration model were obtained, and six sets of parameters were used for statistical analysis. The reasonable number of points of the corresponding model was obtained. Then, the statistical analysis of the cumulative infiltration amount was used to obtain the variation of the number of reasonable points in the three models with time. The results show that the imitative effect of accumulative infiltration water and time in K-l model is the best, and the curve of reasonable test points determined by K-l model with time is located under the other two models; The reasonable number of points determined by the parameter K in the K-l model is the least and most reasonable. In view of this, the number of reasonable points was determined by using the parameter K in the K-l model.

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