CSIR-National Environmental Engineering Research Institute, Nagpur, 440020, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
Int J Biometeorol. 2022 Jul;66(7):1473-1485. doi: 10.1007/s00484-022-02296-0. Epub 2022 May 4.
Regional weather variability depends on various meteorological variables such as temperature and rainfall. The current research focuses on the variability and trends in annual aerosol optical depth (AOD), temperature (T), and rainfall (RF) in 11 Vidarbha districts. The annual trend analysis of AOD, T, and R is determined using the non-parametric Sen slope and Mann-Kendall (MK) test at a 5% significant level from 1980 to 2019. Annual T and AOD indicate a substantial increase in this study, whereas rainfall shows a non-significant trend (MK, test) over the study period. According to Sen's slope trends, the relatively high rainfall area (Chandrapur = 1.273 and Garchiroli = 4.06) got positive trends, but Gondia and Bhandara districts have negative (Sen's slope = - 2.79 and - 2.56) trends. The moderate rainfall areas are showing a less negative Sen slope (Wardha = - 0.21, Washim = - 1.13 and Yavatmal = - 2.75), whereas Nagpur districts' Sen's slope shows a positive value (Sens's slope = 0.72). The assured rainfall area districts show Sen's slope trends are positive (Akola = 0.45, Amravati = 1.17 and Buldana = 0.42). Sen's slope trend indicates rising rainfall, whereas negative trends indicate decreasing rainfall in the time series. This study has also looked at the effect of RF, AOD, and T on the last two decades' cash crop production (2000-2019) for Vidarbha districts. The relationship between rainfall departure (DRF) and cash crop yield has also been highlighted. Five cash crops, such as cotton (Ct), total cereals (TCrl), total oilseeds (TOsd), total pulses (TPS), and sugarcane (Sc), are selected for the present study.
区域天气变化取决于温度和降雨量等各种气象变量。目前的研究重点是在马哈拉施特拉邦的 11 个 Vidarbha 区的年度气溶胶光学深度（AOD）、温度（T）和降雨量（RF）的变化和趋势。从 1980 年到 2019 年，使用非参数 Sen 斜率和 Mann-Kendall（MK）检验在 5%的显著水平下确定 AOD、T 和 R 的年趋势分析。本研究中，T 和 AOD 的年值显示出显著增加，而降雨在研究期间显示出非显著趋势（MK 检验）。根据 Sen 斜率趋势，相对高降雨量地区（钱德拉布尔 = 1.273 和加尔奇罗利 = 4.06）呈正趋势，但贡迪亚和班德拉地区呈负（Sen 斜率 = -2.79 和-2.56）趋势。中度降雨量地区的 Sen 斜率呈较小的负值（沃德哈 = -0.21、瓦希姆 = -1.13 和耶瓦塔尔马 = -2.75），而那格浦尔地区的 Sen 斜率呈正值（Sen 斜率 = 0.72）。有保证降雨量的地区的 Sen 斜率趋势为正（阿克拉 = 0.45、阿玛拉瓦蒂 = 1.17 和布尔达纳 = 0.42）。Sen 斜率趋势表明降雨量在增加，而负趋势表明在时间序列中降雨量在减少。本研究还研究了过去 20 年（2000-2019 年）RF、AOD 和 T 对 Vidarbha 区经济作物产量的影响。还强调了降雨量偏离（DRF）与经济作物产量之间的关系。选择了五种经济作物，如棉花（Ct）、总谷物（TCrl）、总油籽（TOsd）、总豆类（TPS）和甘蔗（Sc）进行本研究。
