首页> 外文期刊>Current Journal of Applied Science and Technology >Spatial and Temporal Trends of Monthly, Seasonaland Annual Precipitation in Districts of Jharkhandin India
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Spatial and Temporal Trends of Monthly, Seasonaland Annual Precipitation in Districts of Jharkhandin India

机译:印度贾坎德邦地区季节性,季节性季节降水的时空趋势

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Characterization of spatial variability and temporal trends in precipitation in a changing climate is vital to assess climate-induced changes to support adequate agricultural planning and water resources management strategies for the future. In this context, spatial and temporal variability in the precipitation over Jharkhand state in Eastern plateau and hill region is investigated. Spatial distribution of precipitation was mapped using ‘ordinary kriging’ geostatistical interpolation technique. A comprehensive precipitation trend and periodic analysis at the monthly and seasonal scale on a 40 year data series (1975-2014) for 18 locations in Jharkhand are presented using Mann-Kendall and Sen’s slope methods. The seasonal and annual precipitation showed large spatial variability across the Jharkhand. Although, the spatial distribution of monsoon and annual precipitation are roughly similar, annual precipitation varied considerably in space due to the variations induced by pre-monsoon and winter precipitation. The statistical analysis revealed predominantly decreasing trends, both at the annual and seasonal scale. July precipitation showed significantly decreasing trend (-3.17 to -6.21 mm/year) in large number of districts (15), while the trend in May and other ‘monsoon’ months was not significant. Over the reference period, the negative trends in monsoon, winter and annual precipitation were significant for 61, 67 and 50% of the total districts analyzed with rate of decrease for monsoon and annual precipitation in the range of -5.3 to -13.0 and -5.3 to -15.9 mm/year, respectively. In view of the rainfall dependence of the agriculture in the state and decreasing trends of precipitation, the information presented in this paper can supports further climate change risk assessment and vulnerability adaptation planning.
机译:气候变化中降水的空间变异性和时间趋势的特征对于评估气候引起的变化以支持未来的适当农业计划和水资源管理策略至关重要。在此背景下,研究了东部高原和丘陵地区贾坎德邦州降水的时空变化。降水的空间分布是使用“普通克里格”地统计插值技术绘制的。利用Mann-Kendall和Sen的坡度方法,对贾坎德邦18个地点的40年数据系列(1975-2014年),进行了每月和季节性尺度的全面降水趋势和定期分析。贾坎德邦的季节性和年度降水量显示出较大的空间变异性。尽管季风的空间分布与年降水量大致相似,但由于季风前和冬季降水的变化,年降水量在空间上的变化很大。统计分析表明,在年度和季节范围内,趋势都有明显下降的趋势。在许多地区(15个地区),7月降水量显示出显着下降的趋势(-3.17至-6.21 mm /年),而5月和其他“季风”月份的趋势并不明显。在参考期内,季风,冬季和年降水量的负趋势在所分析的全部地区中分别占61%,67%和50%的显着趋势,季风和年降水量的减少率在-5.3至-13.0和-5.3之间分别达到-15.9毫米/年。鉴于该州农业对降雨的依赖性以及降水量的下降趋势,本文提供的信息可为进一步的气候变化风险评估和脆弱性适应计划提供支持。

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