<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In India, drip irrigation with plastic mulch is a common practise for irrigation that conserves water. For the design and administration of irrigation regimes, a thorough understanding of the distribution and flow of soil water in the root zone is required. It has been demonstrated that simulation models are effective tools for this purpose. In this work, an automated drip-irrigated Okra field with seven treatments namely T1- Soil moisture-based drip irrigation to 100% FC, T2- Soil moisture-based drip irrigation to 80% FC, T3- Soil moisture-based drip irrigation to 60% FC, T4- Timer based drip irrigation to 100% CWR, T5- Timer based drip irrigation to 80% CWR, T6- Timer based drip irrigation to 60% CWR and T7- Conventional drip irrigation at 100% CWR were utilised to mimic the temporal fluctuations in soil water content using the numerical model HYDRUS- 2D. With the help of the observed data, the inverse solution was used to optimise the soil hydraulic parameters. The model was used to forecast soil water content for seven field treatments at optimal conditions. Root mean square error (RMSE) and coefficient of determination (R2) were used to assess the congruences between the predictions and data. With RMSE ranging from 0.036 to 0.067 cm3 cm- 3, MAE ranging from 0.020 to 0.059, and R2 ranging from 0.848 to 0.959, the findings showed that the model fairly represented the differences in soil water content at all sites in seven treatments.</p>
</abstract>

In India, drip irrigation with plastic mulch is a common practise for irrigation that conserves water. For the design and administration of irrigation regimes, a thorough understanding of the distribution and flow of soil water in the root zone is required. It has been demonstrated that simulation models are effective tools for this purpose. In this work, an automated drip-irrigated Okra field with seven treatments namely T1- Soil moisture-based drip irrigation to 100% FC, T2- Soil moisture-based drip irrigation to 80% FC, T3- Soil moisture-based drip irrigation to 60% FC, T4- Timer based drip irrigation to 100% CWR, T5- Timer based drip irrigation to 80% CWR, T6- Timer based drip irrigation to 60% CWR and T7- Conventional drip irrigation at 100% CWR were utilised to mimic the temporal fluctuations in soil water content using the numerical model HYDRUS- 2D. With the help of the observed data, the inverse solution was used to optimise the soil hydraulic parameters. The model was used to forecast soil water content for seven field treatments at optimal conditions. Root mean square error (RMSE) and coefficient of determination (R2) were used to assess the congruences between the predictions and data. With RMSE ranging from 0.036 to 0.067 cm3 cm- 3, MAE ranging from 0.020 to 0.059, and R2 ranging from 0.848 to 0.959, the findings showed that the model fairly represented the differences in soil water content at all sites in seven treatments.

Numerical Simulation of Soil Water Dynamics in Automated Drip Irrigated Okra Field Under Plastic Mulch

PhD Scholar, Department of Soil and Water Conservation Engineering

Faculty of Agricultural Engineering, Department of Soil and Water Conservation Engineering

Faculty of Agricultural Meteorology, Department of Agro Climate Research Centre

Faculty of Agricultural Statistics, Department of Physical Sciences and Information technology

Agricultural Engineering

This work is licensed under the Creative Commons Attribution 4.0 International License.

In India, drip irrigation with plastic mulch is a common practise for irrigation that conserves water. For the design and administration of irrigation regimes,...

Numerical Simulation of Soil Water Dynamics in Automated Drip Irrigated Okra Field Under Plastic Mulch

Data publikacji: 31 sty 2023

Zakres stron: 11 - 32

Otrzymano: 01 paź 2022

Przyjęty: 01 gru 2022

DOI: https://doi.org/10.2478/agriceng-2023-0002

Słowa kluczowe
Automated drip irrigation, HYDRUS-2D, mulch scenario, rootzone moisture, soil water movement

© 2023 Vidya K. Nagaraju et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Numerical Simulation of Soil Water Dynamics in Automated Drip Irrigated Okra Field Under Plastic Mulch

Data publikacji: 31 sty 2023

Zakres stron: 11 - 32

Otrzymano: 01 paź 2022

Przyjęty: 01 gru 2022

DOI: https://doi.org/10.2478/agriceng-2023-0002

Słowa kluczoweAutomated drip irrigation, HYDRUS-2D, mulch scenario, rootzone moisture, soil water movement

© 2023 Vidya K. Nagaraju et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
Automated drip irrigation, HYDRUS-2D, mulch scenario, rootzone moisture, soil water movement