Long term (1901-2021) trends and prediction of climatic variability in selected agro-ecological zones of Himachal Pradesh using coupled statistical and machine learning approaches

被引:0
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作者
Thakur, Swati [1 ]
Kumar, Manish [2 ]
Tiwari, Akash [2 ]
Yadav, Ankur [2 ]
Soni, Tamanna [2 ]
Tripathi, Dinesh Kumar [3 ]
机构
[1] Univ Delhi, Dyal Singh Coll, Dept Geog, New Delhi, India
[2] Cent Univ Haryana, Sch Basic Sci, Dept Geog, Pali 123031, Haryana, India
[3] Rana Pratap Post Grad Coll, Sultanpur 228001, Uttar Pradesh, India
关键词
Satluj River Basin; climate variability; trend analysis; machine learning; SINDH RIVER-BASIN; PRECIPITATION; RAINFALL;
D O I
10.1111/sjtg.12530
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
This study analyses the trends of changing climatic elements in the hydrological regime of the Indian Himalayan Region with specific focus on Agro-ecological zone II & III of Himachal Pradesh for the period of 1901-2021. The upper, middle, and lower catchment areas of Sutlej River Basin were studied to reveal regional trends in climatic parameters. The Mann-Kendall test and Sen Slope analysis were used to estimate annual and seasonal trends and their magnitude. The results showed a significant decreasing trend in the lower catchment area, with a break point year estimated to be 1953 for the entire basin. Two blocks of analysis, 1901-1953 and 1954-2021, showed significant variations. Annual rainfall data revealed a statistically significant decreasing trend at different stations. The lower catchment area received a significant increase in rainfall compared to higher altitude stations. In terms of seasonal variation, the pre-monsoon season showed a significant decrease, while the entire basin recorded a significant increase in average monthly temperature. The study concludes by generating future time series predictions using an ANN model for the period of 2022-2050. Overall, the study's findings indicate a significant change in climatic variables with signs of increasing monthly temperatures and decreasing annual rainfall.
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页码:384 / 402
页数:19
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