极端天气事件及其对印度奥里萨邦沿海地区水稻生产的影响

S Vijayakumar, AK Nayak, N Manikandan, Suchismita Pattanaik, Rahul Tripathi, CK Swain
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引用次数: 0

摘要

该研究通过使用RClimDex软件包计算1980-2010年期间的18个天气指数(8个温度指数和10个降雨指数),研究了印度沿海奥里萨邦的极端日降水和温度趋势。采用线性回归和非参数Mann-Kendall检验进行趋势分析,确定各指标的统计学显著性。结果表明,气温指数变化趋势强且显著,降水指数变化趋势弱且不显著。Tmax平均值、Tmin平均值、TN90p(暖夜)、TX90p(暖日)、日温差、暖期持续时间指标、连续干燥日数均呈上升趋势,表明奥里萨邦沿海地区暖事件发生频率增加。最大1天降水、最大2天降水、最大3天降水、最大5天降水、强降水日数(64.5mm)、特强降水日数(124.5mm)呈正趋势,降雨日数(R2.5mm)、连续湿日数呈负趋势,表明奥里萨邦沿海地区降水分布偏强、偏弱。极端降水和温度事件对水稻产量产生了负面影响,所有沿海地区都出现了急剧下降。该研究强调需要新的技术/管理实践来尽量减少这些影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extreme weather events and its impacts on rice production in coastal Odisha region of India
The study examines extreme daily precipitation and temperature trends in coastal Odisha, India by calculating 18 weather indices (8 temperature indices and 10 rainfall indices) using the RClimDex software package for the period 1980-2010. Statistical significance of the indices was determined through trend analysis using linear regression and non-parametric Mann-Kendall test. Results indicated, a strong and significant trend in temperature indices while the weak and non-significant trend in precipitation indices. The positive trend in Tmax mean, Tmin mean, TN90p (warm nights), TX90p (warm days), diurnal temperature range, warm spell duration indicator, consecutive dry days indicates increasing the frequency of warming events in coastal Odisha. Similarly, positive trend in highest maximum 1-day precipitation, highest maximum 2-consecutive day precipitation, highest maximum 3 consecutive day precipitation, highest maximum 5-consecutive day precipitation, number of heavy precipitation days (64.5mm), number of very heavy precipitation days (124.5mm) and negative trend in the number of rainy days (R2.5mm), consecutive wet days indicate changes toward the more intense and poor distribution of precipitation in coastal Odisha. Extreme precipitation and temperature events negatively impacted rice yield, with a sharp decline observed in all coastal districts. The study highlights the need for new technology/management practices to minimize these impacts.
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