Exploring temperature dynamics in Madhya Pradesh: a spatial-temporal analysis

被引:7
|
作者
Kumar, Amit [1 ]
Kumar, Siddharth [2 ]
Rautela, Kuldeep Singh [3 ]
Kumari, Aksara [4 ]
Shekhar, Sulochana [5 ]
Thangavel, Mohanasundari [1 ]
机构
[1] Indian Inst Technol Indore, Sch Humanaties & Social Sci, Indore 453552, Madhya Pradesh, India
[2] Indian Inst Informat Technol, Dept Comp Sci Engn, Ranchi, Bihar, India
[3] Indian Inst Technol Indore, Dept Civil Engn, Indore 453552, Madhya Pradesh, India
[4] Nalanda Open Univ, MA Geog, Patna 800001, Bihar, India
[5] Cent Univ Tamil Nadu, Dept Geog, Thiruvarur 610005, Tamil Nadu, India
关键词
Climate change; Mann-Kendall test; Sen's slope estimator; Pettitt's test; Spatial-temporal distribution; Central India; TREND ANALYSIS; CLIMATE-CHANGE; REFERENCE EVAPOTRANSPIRATION; AIR TEMPERATURES; RIVER-BASIN; HEAT WAVES; VARIABILITY; RAINFALL; INDIA; COEFFICIENT;
D O I
10.1007/s10661-023-11884-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Understanding the dynamics of temperature trends is vital for assessing the impacts of climate change on a regional scale. In this context, the present study focuses on Madhya Pradesh state in Central Indian region to explore the spatial-temporal distribution patterns of temperature changes from 1951 to 2021. Gridded temperature data obtained from the Indian Meteorological Department (IMD) in 1 degrees x 1 degrees across the state are utilised to analyse long-term trends and variations in temperature. The Mann-Kendall (MK) test and Sen's slope (SS) estimator were used to detect the trends, and Pettitt's test was utilised for change point detection. The analysis reveals significant warming trends in Madhya Pradesh during the study period during specific time frames. The temperature variables, such as the annual mean temperature (T-mean), maximum temperature (T-max), and minimum temperature (T-min), consistently increase, with the most pronounced warming observed during winter. The trend analysis reveals that the rate of warming has increased in the past few years, particularly since the 1990s. However, Pettitt's test points out significant changes in the temperature, with T-mean rising from 25.46 degrees C in 1951-2004 to 25.78 degrees C in 2005-2021 (+0.33 degrees C), T-max shifting from 45.77 degrees C in 1951-2010 to 46.24 degrees C in 2011-2021 (+0.47 degrees C), and T-min increasing from 2.65 degrees C in 1951-1999 to 3.19 degrees C in 20002021 (+0.46 degrees C). These results, along with spatial-temporal distribution maps, shed important light on the alterations and variations in monthly T-mean, T-max, and T-min across the area, underlining the dynamic character of climate change and highlighting the demand for methods for adaptation and mitigation.
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页数:20
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