Investigation of Soil Wetting Pattern in Drip Irrigation using LoraWAN Technology

2020 ◽  
Author(s):  
Xiaohu Jiang ◽  
Long He ◽  
Jin Tong
Keyword(s):  
Drip Irrigation ◽  
Soil Wetting ◽  
Wetting Pattern

Simulation of soil wetting pattern with subsurface drip irrigation from line source

2006 ◽  
Vol 83 (1-2) ◽  
pp. 130-134 ◽  
Author(s):  
D.K. Singh ◽  
T.B.S. Rajput ◽  
D.K. Singh ◽  
H.S. Sikarwar ◽  
R.N. Sahoo ◽  
...  
Keyword(s):  
Drip Irrigation ◽  
Line Source ◽  
Subsurface Drip Irrigation ◽  
Soil Wetting ◽  
Subsurface Drip ◽  
Wetting Pattern

scholarly journals Numerical Simulation of Water Distribution with Uptake Root in Drip Irrigation using Different Soil Hydraulic Models

2021 ◽  
Vol 27 (4) ◽  
pp. 46-61
Author(s):  
Israa Saad Faraj ◽  
Maysoon Basheer Abid
Keyword(s):  
Relative Error ◽  
Drip Irrigation ◽  
Water Distribution ◽  
Sandy Loam ◽  
Irrigation System ◽  
Trickle Irrigation ◽  
Statistical Parameters ◽  
Soil Wetting ◽  
Surface Drip Irrigation ◽  
Wetting Pattern

Surface drip irrigation is one of the most conservative irrigation techniques that help control providing water directly on the soil through the emitters. It can supply fertilizer and providing water directly to plant roots by drippers. One of the essential needs for trickle irrigation nowadays is to obtain more knowledge about the moisture pattern under the trickling source for various types of soil with various discharge levels with trickle irrigation. Simulation numerical using HYDRUS-2D software, version 2.04 was used to estimate an equation for the wetted area from a single surface drip irrigation in unsaturated soil is taking into account water uptake by roots. In this paper, using two soil types were used, namely sandy loam and clay loam, with three types of plants; (corn, tomato, and sweet sorghum). The soil wetting pattern was analyzed each half an hour for three hours of irrigation time and three initial soil moisture content. Equations for wetted radius and wetted depth were predicted and evaluated by utilizing the statistical parameters for the different hydraulic soil models (Model Efficiency (EF) and Root Mean Squares Error (RMSE)). The values RMSE does not exceed 0.40 cm, and EF is greater than 0.96 for all types of soil. These values were between the values obtained from program  HYDRUS-2D and the values obtained from formulas. This shows that evolved formula can be utilized to describe the soil wetting pattern from the surface drip irrigation system. The relative error for the different hydraulic soil models was calculated and compared with Brooks and Corey's model, 1964. There was good agreement compared with different models. RMSE was 0.23 cm, while the relative error -1% and 1 for EF for wetted radius.

scholarly journals Simulated and measured soil wetting patterns for overlap zone under double points sources of drip irrigation

2011 ◽  
Vol 10 (63) ◽  
pp. 13744-13755 ◽  
Author(s):  
Shan Yuyang ◽  
Wang Quanjiu ◽  
Wang Chunxia
Keyword(s):  
Drip Irrigation ◽  
Double Points ◽  
Soil Wetting

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.      

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