scispace - formally typeset
Search or ask a question
Journal ArticleDOI

Recharge estimation using infiltration models

01 Jan 2005-ISH Journal of Hydraulic Engineering (Taylor & Francis Group)-Vol. 11, Iss: 3, pp 1-10
TL;DR: In this paper, different infiltrations models were tested at 50 locations in a basin based on the soil type and land use variations at Neyveli and their results were compared with that of the standard SWAT (Soil and Water Assessment Tool) model developed by the USDA agricultural research service (ARS).
Abstract: Different infiltrations models were tested at 50 locations in a basin based on the soil type and land use variations at Neyveli. Infiltration models namely Green Ampt model, Modified Kostiakov model and Horton model were found to be fit to the observed field data to estimate infiltration rates at any given time and their parameters were determined using least square method. The basin is divided into four zones based on location of rain gauge stations. Ground water recharge was estimated using three infiltration models for each zone. Their results were compared with that of the standard SWAT (Soil and Water Assessment Tool) model developed by the USDA agricultural research service (ARS). Horton model was found to be high correlated with SWAT model when compared to the other two infiltration models. It can be concluded that Horton model is the most appropriate infiltration model for estimating recharge in Neyveli region.
Citations
More filters
Journal ArticleDOI
TL;DR: In this paper, the double ring Infiltrometer was used to measure soil infiltration rate in the field and the infiltration model parameters were determined graphically and analytically using Davis method.
Abstract: Prediction of soil infiltration rate is of prime importance in irrigation and drainage studies. Infiltration seems to be very simple, but field determination of soil infiltration is very tedious and time consuming task. This investigation was employed to predict the soil infiltration rate and estimate the soil infiltration model parameters. Two infiltration models namely, Kostiakov and Modified Kostiakov were studied to assess the predictability of water infiltration into a clay soil in Kopargaon of Maharashtra region. The double ring Infiltrometer was used to measure soil infiltration rate in the field. The soil infiltration measurements were made at 10 points over the study area. The infiltration model parameters were determined graphically and analytically using Davis method. Results of the investigation shows that the cumulative infiltrations predicted by Kostiakov and Modified Kostiakov models were very close to the field measured cumulative infiltration. The soil physical properties like moisture content, textural analysis and electrical conductivity exhibit the effect on soil infiltration rate and the amounts of infiltration model parameters for both the models. The statistical parameters, coefficient of determination (R2) reported very high values for both the models, while values of Root Mean Square Error (RMSE) were low, which reflected accuracy in estimation of infiltration. Absolute Mean Difference (AMD) between field measured and predicted by models were also very low.

6 citations

Journal ArticleDOI

4 citations


Cites methods from "Recharge estimation using infiltrat..."

  • ...Mohan and Sangeeta (2005) estimated recharge in four areas of the Neyveli basin in the Cuddalore region of Tamil Nadu state, using some methods such as modified Kostiakov, Horton model, and Green–Ampt....

    [...]

Book ChapterDOI
01 Jan 2019
TL;DR: A review of research undertaken in the area of estimation of infiltration rate/capacity by using experimental methods and mathematical models, highlighting the major findings of the past studies is presented in this article.
Abstract: Infiltration is an important process of hydrological cycle and needs to be studied for the proper and efficient management of water resources. Due to scarcity of water, especially in India, the study of various aspects of infiltration is of paramount importance. The rate and amount of infiltration are must to estimate the water requirements for an efficient irrigation system. The infiltration capacity is dependent mainly on soil texture, soil structure, vegetative cover, soil compaction, rainfall time, existing soil moisture content, etc. Infiltration characteristics can be estimated either by cylindrical infiltrometer method or by using mathematical models. The paper presents a review of research undertaken in the area of estimation of infiltration rate/capacity by using experimental methods and mathematical models, highlighting the major findings of the past studies. It is expected that outcome of this article may be utilized for selecting an appropriate technique for analyzing the problem of infiltration rate/capacity, which is urgently required for the management of available water resources in India.

3 citations

01 Jan 2012
TL;DR: Kopargaon et al. as discussed by the authors made an attempt to determine infiltration rates of soil under different land cover conditions and to compare validity of different infiltration equations viz. Kostiakov, modified Kostiakov, Horton and Philip.
Abstract: Procedures adopted for infiltration calculations vary greatly in sophistication right from the application of reported average rates for specific soil types and vegetal land covers to the use of differential equations governing the flow of water in unsaturated porous media. In this work attempt is made to determine infiltration rates of soil under different land cover conditions and to compare validity of different infiltration equations viz. Kostiakov, modified Kostiakov, Horton and Philip. The various land covers such as Grapes, Gram, Bajra, Weeds and Cucumber were selected at a location Brahmangaon in Tq. Kopargaon, dist. Nagar (M.S.). Observations were taken by using double ring infiltrometer for two seasons' winter and summer. The field observations, analysis of data and graphical representations indicates that the infiltration rate in summer was around twice the infiltration rate in winter. Suitability of the infiltration model under different conditions has been indicated. Further, the Kostiakov equation was found to be the best for almost all cultivated land covers.

3 citations

References
More filters
Journal ArticleDOI
TL;DR: In this article, a simple groundwater flow and height model was added to an existing basin-scale surface water model and validated on a 471 km2 watershed near Waco, Texas.

916 citations


"Recharge estimation using infiltrat..." refers background in this paper

  • ...Groundwater flow contribution to total stream flow is simulated by routing a shallow aquifer storage component to the stream (Arnold et al., 1993)....

    [...]

Journal ArticleDOI
TL;DR: In this paper, it was shown that if rain is continued at an intensity i> f, the infiltration capacity will decrease with rain duration in accordance with the equation (8) -K£t f = f.+ (fo-f c )e.
Abstract: INFILTRATION-CAPACITY was first defined 1 by the author as the maximum rate at which a given soil when in a given condition can absorb rain as it falls (6, 7). Infiltration-capacity is usually designated by f, and since f varies with time, especially during the early part of rain, it is to be understood that the condition of the soil and hence the infiltration-capacity, vary with time, until a certain minimum infiltration-capacity fc is reached. It would be better to use the term "terrain" rather than the term "soil" in discussing infiltration-capacity, for the reason that infiltration-capacity is governed not only by soil in the ordinary sense— comminuted mineral matter, with more or less organic matter—but in the broader sense of the soil as involving not only its mineral composition, texture and micro-structure or ordinary crumb-structure but also its macro-structures, including root systems, root perforations, sun-checks, earthworm perforations and other biologic structures, and its vegetal cover. Certain other factors, such as temperature of the air, and of rain and soil surface, rain intensity, initial soil-moisture, initial and residual rain occurring at intensities less than the infiltration-capacity, also require consideration. In a previous paper the author showed that f has an initial value fo at the beginning of rain and that if rain is continued at an intensity i> f, the infiltrationcapacity will decrease with rain duration in accordance with the equation (8) -K£t f = f.+ (fo-f c )e . i This was originally given as an empirical equation. It can, however, be derived from the simple assumption that the processes involved in the reduction of f as rain continues are of the nature of exhaustion processes. These processes include rain-packing, inwashing, breaking down of the crumb-structure of the soil, the swelling of colloids and, in cases where they occur, the closing of sun-checks. The graph of an inverse exponential equation can be represented over a considerable range by a hyper-

890 citations


"Recharge estimation using infiltrat..." refers background in this paper

  • ...According to the Horton (1940) the infiltration rate and cumulative infiltration equations can written as :...

    [...]

Journal ArticleDOI
TL;DR: In this paper, an infiltrometer was used at multiple locations at a site in Lee County, Fl. to define the spatial variability in infiltration parameters, and water-level data from a well at this site were collected hourly and used to determine the temporal variability in recharge.
Abstract: An infiltrometer was used at multiple locations at a site in Lee County, Fl. to define the spatial variability in infiltration parameters. Water-level data from a well at this site were collected hourly and used to determine the temporal variability in recharge. These results were used to define recharge in a representative stochastic numerical model of the aquifer. Model results without recharge compare well with existing analytical solutions for spatial head variability. Simulations with representative recharge events indicate that recharge produces a significant to dominant effect on head variability, which creates dispersion of contaminants, and that small-scale spatial and temporal recharge variations are the predominant mechanism causing the head variations.

4 citations