巴基斯坦不同城市历史温度的分析,以确定温度的趋势和变化

Farah Khan, Amna Hassan, Syed Alamdar Ali Shah, Najma Nazeer, Alamgir Khan, Shahid Bukhari
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摘要

近几十年来,人类致病活动是造成温度指数上升的原因。为了研究这种变化,研究人员检查了巴基斯坦最大城市30个气象站的数据,以确定1981年至2020年间的年平均气温和最高气温。参数检验和非参数检验相结合,包括Sen斜率估计、Mann-Kendall趋势检验和线性回归,用于分析。NASA电力数据访问查看器提供了可靠的历史气候数据集,并提供了有希望的结果。我们从NASA网站上提取了历史气候足迹数据,并绘制了趋势图。年气温上升趋势约占90%,年气温下降趋势约占10%。吉尔吉特、海得拉巴、奎达和拉斯贝拉的年平均气温每10年上升0.49℃,变化幅度最大。吉德拉尔、吉尔吉特、纳瓦布沙和奎达的年气温增幅最大,为每十年0.34°C。各种指标,如简单线性回归和Mann-Kendall检验,分别显示年平均气温上升了0.001 %(0.06水平)。27个站点的年气温显著升高,其中23个站点的显著性水平为0.002(0.06)。总体而言,各气候参数均呈上升趋势,但在研究期间,年平均气温的上升速度快于年最高气温的上升速度。
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Analysis of the Historical Temperature of Different Cities of Pakistan to Determine the Trends and Shift in Temperature
Antrhopogenic activities are responsible for exponential increase in temperature in recent dacades. To examine this variation, data from 30 meteorological stations in Pakistan's largest cities were examined to determine the annual average and highest temperatures between 1981 and 2020. A combination of parametric and non-parametric tests, including Sen's slope estimator, the Mann-Kendall trend test, and linear regression, were utilized for the analysis. NASA Power Data Access Viewer provides historical climatic datasets which are reliable and provide promising results. We extracted historical footprints of climatic data from NASA website and mapped the trends. About 90% of the meterological stations had rising annual temperature trends, whereas 10% had declining trends. The average annual temperature increased by 0.49 °C per decade in Gilgit, Hyderabad, Quetta, and Lasbela, which was the largest rate of change. Chitral, Gilgit, Nawabshah, and Quetta experienced the biggest increase in annual temperature that was 0.34 °C per decade. Various indicators e.g., simple linear regression and the Mann-Kendall test, respectively, revealed that the yearly average temperature was rising at a 0.001 % (at the 0.06 level). Annual temperatures were increasing at 27 stations and 23 stations were experiencing 0.002 level of significance (at the 0.06 level). Overall, the findings indicated that all climatic parameters were increasing, but during the study period, the annual average temperature was increasing more quickly than the annual maximum temperature.
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