Momin et al. (2025) Potential Evapotranspiration Employing a Seasonal ARIMA Model for Bagalkot District, Karnataka, India

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Identification

• Journal: Journal of Geography Environment and Earth Science International
• Year: 2025
• Date: 2025-09-17
• Authors: Umarfarooque Momin, M. Sudhakara Reddy, Ambrish Ganachari, Megharani
• DOI: 10.9734/jgeesi/2025/v29i9946

Research Groups

Not specified in the provided text.

Short Summary

This study investigates the critical role of reference crop evapotranspiration (ET) in the Bagalkot district's agriculture, applying stochastic linear models, specifically ARIMA, to forecast ET based on historical data for improved irrigation management.

Objective

• To explore the pivotal role of reference crop evapotranspiration (ET) in the Bagalkot district's agricultural landscape and to forecast ET using stochastic linear models for enhancing real-time irrigation operations and sustainable agriculture.

Study Configuration

• Spatial Scale: Bagalkot district, India.
• Temporal Scale: Historical data for forecasting (specific duration not specified).

Methodology and Data

• Models used: Autoregressive Integrated Moving Average (ARIMA) model, SARIMA model (mentioned in results).
• Data sources: Historical hydrological data (temperature in kelvin or degrees Celsius, humidity, solar radiation in watts per square metre, wind speed in metres per second) and evapotranspiration time series.

Main Results

• The ARIMA model demonstrated strong performance in capturing time-dependent patterns and random fluctuations in evapotranspiration, indicating its general applicability across diverse regions.
• The study aims to enhance real-time irrigation operations by integrating on-farm and main systems, providing practical insights for sustainable agriculture in the Bagalkot district's unique climate.
• The findings improve the understanding of SARIMA models' effectiveness in forecasting potential evapotranspiration (PET) across different geographic locations.

Contributions

• Provides valuable knowledge to hydrological processes by demonstrating the effectiveness of stochastic linear models (ARIMA/SARIMA) for evapotranspiration forecasting.
• Offers actionable implications for water resource planning and irrigation system design, contributing to sustainable agriculture in the Bagalkot district.

Funding

Not specified in the provided text.

Citation

@article{Momin2025Potential,
  author = {Momin, Umarfarooque and Reddy, M. Sudhakara and Ganachari, Ambrish and Megharani},
  title = {Potential Evapotranspiration Employing a Seasonal ARIMA Model for Bagalkot District, Karnataka, India},
  journal = {Journal of Geography Environment and Earth Science International},
  year = {2025},
  doi = {10.9734/jgeesi/2025/v29i9946},
  url = {https://doi.org/10.9734/jgeesi/2025/v29i9946}
}