Scholarlink

<p>The Himalayan region is one of the most hazard-prone regions in India, and the majority of these hazards are mainly triggered by rainfall. The extent of rain-induced hazards varies significantly in the Himalayan region, and can be very high in a few regions such as Chamba and Mandi districts in Himachal Pradesh, and Chamoli district in Uttarakhand in the Northwest Himalayas, India. Rainfall trend detection is necessary to understand these hazards, laying a foundation for a rainfall forecasting system. The present study explores these regions’ spatiotemporal annual and seasonal rainfall trends. The analysis used daily rainfall data for 75&#xa0;years, from 1949 to 2023. Mann–Kendall test, Innovative Trend Analysis (ITA), Sen’s slope estimator, along with linear regression, were adopted to conduct the rainfall trend detection and estimate the rate of change in the rainfall. Spatial distribution maps of rainfall and its trend were generated. Based on the analysis, it is inferred that over these 75&#xa0;years, the annual rainfall trend varies between − 24.6&#xa0;mm/year and 10.4&#xa0;mm/year across the selected region. Several dam sites located in these regions experience an increasing rainfall trend. There is an urgent need for a rainfall forecasting system followed by appropriate mitigation measures.</p>

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

Spatiotemporal trend analysis of the annual and seasonal rainfall in selected regions across the Northwest Himalayas

  • 期刊论文

  • 发表日期：

    2026年3月24日

查看全文
  • Anoopsingh Chandel,
  • N. K. Goel,
  • Manohar Arora,
  • B. R. K. Pillai,
  • Chander Kant

摘要

The Himalayan region is one of the most hazard-prone regions in India, and the majority of these hazards are mainly triggered by rainfall. The extent of rain-induced hazards varies significantly in the Himalayan region, and can be very high in a few regions such as Chamba and Mandi districts in Himachal Pradesh, and Chamoli district in Uttarakhand in the Northwest Himalayas, India. Rainfall trend detection is necessary to understand these hazards, laying a foundation for a rainfall forecasting system. The present study explores these regions’ spatiotemporal annual and seasonal rainfall trends. The analysis used daily rainfall data for 75 years, from 1949 to 2023. Mann–Kendall test, Innovative Trend Analysis (ITA), Sen’s slope estimator, along with linear regression, were adopted to conduct the rainfall trend detection and estimate the rate of change in the rainfall. Spatial distribution maps of rainfall and its trend were generated. Based on the analysis, it is inferred that over these 75 years, the annual rainfall trend varies between − 24.6 mm/year and 10.4 mm/year across the selected region. Several dam sites located in these regions experience an increasing rainfall trend. There is an urgent need for a rainfall forecasting system followed by appropriate mitigation measures.