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<p>Effective water quality and quantity monitoring is essential for sustainable watershed management, particularly in the Tel River basin in India. This study aims to quantify and analyze the basin’s water balance components—precipitation, evapotranspiration, overland flow, and land-based storage—across four distinct periods (2005–2006, 2010–2011, 2015–2016, and 2020–2021) to understand seasonal variations and trends. By leveraging advanced remote sensing techniques and integrating diverse data sources, this study addresses the challenges of climate change, land use shifts, and human interventions affecting water availability. The results reveal the highest seasonal precipitation and evapotranspiration in 2006 and 2021, with respective peak values of 23.67 BCM and 13.07 BCM during wet periods. These findings underline the importance of satellite-derived data in capturing hydrological dynamics, offering valuable insights for refining water management strategies. Ultimately, the study’s methodology and outcomes contribute to water resource management practices in similar regions worldwide, emphasizing the need for collaborative data analysis to address uncertainties in hydrological assessments amid environmental changes.</p>

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Water budget assessment at data sparse Eastern Indian catchment: a seasonal perspective

  • 期刊论文

  • 发表日期：

    2025年2月17日

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  • B. B. Sahoo,
  • R. Giri,
  • M. Bhushan

摘要

Effective water quality and quantity monitoring is essential for sustainable watershed management, particularly in the Tel River basin in India. This study aims to quantify and analyze the basin’s water balance components—precipitation, evapotranspiration, overland flow, and land-based storage—across four distinct periods (2005–2006, 2010–2011, 2015–2016, and 2020–2021) to understand seasonal variations and trends. By leveraging advanced remote sensing techniques and integrating diverse data sources, this study addresses the challenges of climate change, land use shifts, and human interventions affecting water availability. The results reveal the highest seasonal precipitation and evapotranspiration in 2006 and 2021, with respective peak values of 23.67 BCM and 13.07 BCM during wet periods. These findings underline the importance of satellite-derived data in capturing hydrological dynamics, offering valuable insights for refining water management strategies. Ultimately, the study’s methodology and outcomes contribute to water resource management practices in similar regions worldwide, emphasizing the need for collaborative data analysis to address uncertainties in hydrological assessments amid environmental changes.