Simulating Soil Water Content under Surface and Subsurface Drip Irrigation with Municipal Wastewater

2017 ◽  
Vol 4 (03) ◽  
Author(s):  
VINOD KUMAR TRIPATHI
Keyword(s):  
Drip Irrigation ◽  
Water Distribution ◽  
Municipal Wastewater ◽  
Sandy Loam ◽  
Irrigation System ◽  
Soil Condition ◽  
Water Dynamics ◽  
Subsurface Drip Irrigation ◽  
Subsurface Drip ◽  
Irrigation Technologies

The demand of wastewater for irrigation is gradually increasing due to escalatingcompetition for freshwater by urban, industrial, and agricultural users. To sustain or increase agricultural production, there is a need to adopt highly efficient irrigation technologies such as surface or subsurface drip irrigation systems. Studies related to water distribution under any irrigation system and water quality are important for efficient water and nutrients application. In present study, the water dynamics under surface and subsurface drip irrigation was evaluated by taking cauliflower as a test crop on sandy loam soil. The calibrated model predicted all the parameters close to observed values with RMSE values ranging from 0.05to 0.92. HYDRUS -2D model has ability to predict water distribution with reasonably good accuracy in present crop and soil condition.

scholarly journals Predicting Wetting Patterns in Soil from a Single Subsurface Drip Irrigation System

2019 ◽  
Vol 25 (9) ◽  
pp. 41-53
Author(s):  
Heba Najem Abid ◽  
Maysoon Basheer Abid
Keyword(s):  
Drip Irrigation ◽  
Sandy Loam ◽  
Irrigation System ◽  
Subsurface Drip Irrigation ◽  
Statistical Parameters ◽  
Model Efficiency ◽  
Loam Soil ◽  
Wetted Area ◽  
Soil Wetting ◽  
Subsurface Drip

Soil wetted pattern from a subsurface drip plays great importance in the design of subsurface drip irrigation (SDI) system for delivering the required water directly to the roots of the plant. An equation to estimate the dimensions of the wetted area in soil are taking into account water uptake by roots is simulated numerically using HYDRUS (2D/3D) software. In this paper, three soil textures namely loamy sand, sandy loam, and loam soil were used with three different types of crops tomato, pepper, and cucumber, respectively, and different values of drip discharge, drip depth, and initial soil moisture content were proposed. The soil wetting patterns were obtained at every thirty minutes for a total time of irrigation equal to three hours. Equations for wetted width and depth were predicted and evaluated by utilizing the statistical parameters (model efficiency (EF), and root mean square error (RMSE)). The model efficiency was more than 95%, and RMSE did not exceed 0.64 cm for three soils. This shows that evolved formula can be utilized to describe the soil wetting pattern from SDI system with good accuracy.      

scholarly journals ANALYSIS THE WETTED AREA FOR SUBSURFACE DRIP IRRIGATION IN DIFFERENT SOILS TEXTURE

2020 ◽  
Vol 51 (2) ◽  
pp. 712-722
Author(s):  
Z. K. Rasheed
Keyword(s):  
Soil Water ◽  
Drip Irrigation ◽  
Sandy Loam ◽  
Irrigation System ◽  
Subsurface Drip Irrigation ◽  
Wetted Area ◽  
Subsurface Drip ◽  
Water Contents ◽  
Soil Water Contents ◽  
Volumetric Soil Water

Subsurface drip irrigation is one of the most efficient systems for management of water.  This study is aimed to analysis the wetted area for subsurface drip irrigation system.  Several models are developed for predicting the wetted widths and the wetted depths which are very important for designing an optimal irrigation system. HYDRUS/2D is used for predicting the dimensions of wetting patterns numerically by using the two dimensional transient flow of water from a subsurface drip irrigation through sandy loam and loamy sand soils.   The wetting patterns from a subsurface drip source are simulated by using the system of United States Department of Agriculture, USDA, the wetting patterns are simulated at different values of applied heads, different diameters of drip, and different values of initial volumetric soil water contents which selected as initial conditions.  In this work, greater spreading occurs in loamy sand than sandy loam in vertical and horizontal directions. Moreover, the results showed that the empirical formulas which can be used for estimating the wetting dimensions of wetted width and wetted depth in terms of initial volumetric soil water contents, applied heads, diameters of the drip and times of operation, are good with an average relative error not exceed 3%, so it can be used to assist the designers in irrigation field.

scholarly journals Modeling of Fertilizer Transport for Various Fertigation Scenarios under Drip Irrigation

Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 893 ◽  
Author(s):  
Romysaa Elasbah ◽  
Tarek Selim ◽  
Ahmed Mirdan ◽  
Ronny Berndtsson
Keyword(s):  
Drip Irrigation ◽  
Sandy Loam ◽  
Loamy Sand ◽  
Nitrogen Fertilizers ◽  
Subsurface Drip Irrigation ◽  
Application Rates ◽  
Use Efficiency ◽  
Phosphorus And Potassium ◽  
Subsurface Drip ◽  
The Impact

Frequent application of nitrogen fertilizers through irrigation is likely to increase the concentration of nitrate in groundwater. In this study, the HYDRUS-2D/3D model was used to simulate fertilizer movement through the soil under surface (DI) and subsurface drip irrigation (SDI) with 10 and 20 cm emitter depths for tomato growing in three different typical and representative Egyptian soil types, namely sand, loamy sand, and sandy loam. Ammonium, nitrate, phosphorus, and potassium fertilizers were considered during simulation. Laboratory experiments were conducted to estimate the soils’ adsorption behavior. The impact of soil hydraulic properties and fertigation strategies on fertilizer distribution and use efficiency were investigated. Results showed that for DI, the percentage of nitrogen accumulated below the zone of maximum root density was 33%, 28%, and 24% for sand, loamy sand, and sandy loam soil, respectively. For SDI with 10 and 20 cm emitter depths, it was 34%, 29%, and 26%, and 44%, 37%, and 35%, respectively. Results showed that shallow emitter depth produced maximum nitrogen use efficiency varying from 27 to 37%, regardless of fertigation strategy. Therefore, subsurface drip irrigation with a shallow emitter depth is recommended for medium-textured soils. Moreover, the study showed that to reduce potential fertilizer leaching, fertilizers should be added at the beginning of irrigation events for SDI and at the end of irrigation events for DI. As nitrate uptake rate and leaching are affected by soil’s adsorption, it is important to determine the adsorption coefficient for nitrate before planting, as it will help to precisely assign application rates. This will lead to improve nutrient uptake and minimize potential leaching.

Can Subsurface Drip Irrigation (SDI) be a Competitive Irrigation System in the Great Plains Region for Commodity Crops?

2010 ◽  
Author(s):  
Freddie R Lamm ◽  
Paul D Colaizzi ◽  
James P Bordovsky ◽  
Todd P Trooien ◽  
Juan Enciso-Medina ◽  
...  
Keyword(s):  
Great Plains ◽  
Drip Irrigation ◽  
Irrigation System ◽  
Subsurface Drip Irrigation ◽  
Subsurface Drip

scholarly journals Subsurface Drip Irrigation (SDI) for Enhanced Water Distribution: SDI - Seepage Hybrid System

EDIS ◽  
2013 ◽  
Vol 2013 (4) ◽  
Author(s):  
Lincoln Zotarelli ◽  
Libby Rens ◽  
Charles Barrett ◽  
Daniel J. Cantliffe ◽  
Michael D. Dukes ◽  
...  
Keyword(s):  
Drip Irrigation ◽  
Water Distribution ◽  
Management Practices ◽  
Irrigation Management ◽  
Soil Surface ◽  
High Water ◽  
Subsurface Drip Irrigation ◽  
Irrigation Systems ◽  
Seepage Irrigation ◽  
Subsurface Drip

In terms of water use efficiency, the traditional seepage irrigation systems commonly used in areas with high water tables are one of the most inefficient methods of irrigation, though some irrigation management practices can contribute to better soil moisture uniformity. Subsurface drip irrigation systems apply water below the soil surface by microirrigation, improving the water distribution and time required to raise the water table for seepage irrigation. This 6-page fact sheet was written by Lincoln Zotarelli, Libby Rens, Charles Barrett, Daniel J. Cantliffe, Michael D. Dukes, Mark Clark, and Steven Lands, and published by the UF Department of Horticultural Sciences, March 2013. http://edis.ifas.ufl.edu/hs1217

Sign in / Sign up

Export Citation Format

Share Document