Scholarlink

Drought is a naturally occurring phenomenon that significantly challenges water resources and ecological stability. Drought analysis plays an important role in understanding and monitoring drought conditions. This analysis utilizes a variety of drought indices, which are used in the determination of duration, severity, and geographic spread of drought occurrences. SPI (standardized precipitation index) is widely recognized as a tool for drought analysis because of its simplicity, requiring only precipitation data for analysis, and its adaptability to different temporal scales, and diverse geographical areas make it a popular choice for drought research. VHI (vegetation health index) is a robust tool for drought monitoring in vegetation. This study investigates the spatial and temporal drought patterns in Odisha, India, using SPI and VHI, utilizing daily rainfall data, and MODIS satellite images from 2003 to 2021. Drought events were not uniformly distributed across Odisha which varies spatio-temporarily. Some administrative districts like Mayurbhanj, Keonjhar, and Jajpur experienced a higher frequency of droughts, whereas districts such as Jagatsinghpur and Sonepur witnessed fewer drought occurrences. June and July months are more prone to drought, while September generally experiences fewer occurrences. However, the severe drought in September 2021 highlights the unpredictability of these events. Drought severity varied significantly from year to year. Some years, such as 2003, 2005, and 2007, experienced widespread drought conditions, while others, like 2004, 2006, and 2020, were relatively drought-free. After estimation of SP and VHI, the correlation analysis indicates a strong positive relationship between SPI and VHI, suggesting that changes in precipitation are closely linked to changes in vegetation health. The high R2 values between SPI and VHI validate the use of satellite-derived VHI as a reliable indicator of drought conditions. This study underscores the need for comprehensive drought management plans, early systems of warning, integrated management of water resource, and adaptation of climatic change measures to mitigate the drought impacts in Odisha.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Assessment of Drought Dynamics in Odisha, India Using SPI and VHI

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Sutaapa Giri,
  • Jyotiprakash Padhi,
  • Bitanjaya Das

摘要

Drought is a naturally occurring phenomenon that significantly challenges water resources and ecological stability. Drought analysis plays an important role in understanding and monitoring drought conditions. This analysis utilizes a variety of drought indices, which are used in the determination of duration, severity, and geographic spread of drought occurrences. SPI (standardized precipitation index) is widely recognized as a tool for drought analysis because of its simplicity, requiring only precipitation data for analysis, and its adaptability to different temporal scales, and diverse geographical areas make it a popular choice for drought research. VHI (vegetation health index) is a robust tool for drought monitoring in vegetation. This study investigates the spatial and temporal drought patterns in Odisha, India, using SPI and VHI, utilizing daily rainfall data, and MODIS satellite images from 2003 to 2021. Drought events were not uniformly distributed across Odisha which varies spatio-temporarily. Some administrative districts like Mayurbhanj, Keonjhar, and Jajpur experienced a higher frequency of droughts, whereas districts such as Jagatsinghpur and Sonepur witnessed fewer drought occurrences. June and July months are more prone to drought, while September generally experiences fewer occurrences. However, the severe drought in September 2021 highlights the unpredictability of these events. Drought severity varied significantly from year to year. Some years, such as 2003, 2005, and 2007, experienced widespread drought conditions, while others, like 2004, 2006, and 2020, were relatively drought-free. After estimation of SP and VHI, the correlation analysis indicates a strong positive relationship between SPI and VHI, suggesting that changes in precipitation are closely linked to changes in vegetation health. The high R2 values between SPI and VHI validate the use of satellite-derived VHI as a reliable indicator of drought conditions. This study underscores the need for comprehensive drought management plans, early systems of warning, integrated management of water resource, and adaptation of climatic change measures to mitigate the drought impacts in Odisha.