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Spatio-temporal variability of precipitation, temperature and agricultural drought indices in Central Italy

机译:意大利中部降水,温度和农业干旱指数的时空变化

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a- Annual and winter period rainfall is decreasing especially in the more humid areas. a- More humid areas show also decreasing rainfall trends in the irrigation season. a- Maximum and minimum temperatures often show asymmetric trends. a- The risk of extreme drought event in a 30-year period is expected to double. a- Crop water consumption are expected to increase up to 30% in a 50-year period. The agricultural sector is probably the one that will suffer most directly from the climatic variations expected at the global level. In particular, the analysis of the changes expected in water availability and demand is fundamental in order to correctly establish both the present water resource management and the definition of new strategies. In this paper the time series of some climatic and agro-climatic indices in the Region of Umbria (Central Italy) have been analyzed with the aim of finding signs of climate changes and identifying the potential impacts on the agricultural water balance. The aforesaid indices include the precipitation, the mean maximum and minimum temperatures (Tmin, Tmax), the mean temperature range ( Delta T), the reference evapotranspiration (ET0) and two drought indices, Standardized Precipitation Index (SPI) and Standardized Deficit Index (SDI, based on the difference between ET0 and precipitation). These indices were analyzed with reference to different periods (in particular the average growing and irrigation seasons). Furthermore, more specific information was obtained by analyzing the simulated water requirement (CWR) and evapotranspiration deficit (ED) of two typical annual crops (corn and sunflower). The time series of the indices were quantified for 38 stations in the region and they were then analyzed with non-parametric tests both at single sites and at the regional level. The tendencies in cumulated precipitation are generally decreasing (particularly during the wet period) and they are also characterized by a defined spatial pattern. The rainfall reduction during the irrigation season, although less widespread, could have the most important practical consequences. The significant trends detected for both the Tmax and Tmin are mainly positive, and they are more evident for Tmin, often resulting in a reduction of Delta T. ET0 shows a prevailing stationary condition due to the counteracting effects of the prevalent reduction observed for the Delta T and the increment of the mean temperature. At any rate, with reference to the irrigation season, ET0 trends are mainly positive. The results obtained for SPI and SDI are in accordance with the tendencies of non-standardized indices with an expectation of extreme drought event occurrence doubled or even tripled over a 30-year time span. Finally, the analysis of the CWR for corn and the ED for sunflower shows a relevant presence of significant positive trends whose impacts can be estimated in respective mean increments of about 23% and 44% over a 50-year time span.
机译:a-年度和冬季降雨正在减少,尤其是在较潮湿的地区。 a-较潮湿的地区在灌溉季节的降雨量也呈下降趋势。 a-最高和最低温度通常显示出不对称趋势。 a-预计30年内发生极端干旱的风险将增加一倍。 a-预计50年内作物用水量将增加30%。农业部门可能是最受全球范围预期气候变化影响的部门。尤其是,对水资源供应和需求预期变化的分析至关重要,以便正确地建立当前的水资源管理和新战略的定义。本文分析了翁布里亚地区(意大利中部)的一些气候和农业气候指数的时间序列,目的是寻找气候变化的迹象并确定对农业水平衡的潜在影响。上述指标包括降水,平均最高和最低温度(Tmin,Tmax),平均温度范围(Delta T),参考蒸散量(ET0)和两个干旱指数,标准降水指数(SPI)和标准赤字指数( SDI,基于ET0和降水之间的差异)。参照不同时期(尤其是平均生长季节和灌溉季节)对这些指数进行了分析。此外,通过分析两种典型的一年生作物(玉米和向日葵)的模拟需水量(CWR)和蒸散量(ED),可以获得更具体的信息。对该地区38个台站的指标的时间序列进行了量化,然后在单个站点和地区级别上使用非参数测试对其进行了分析。累积降水的趋势通常在下降(特别是在湿润时期),并且它们的特征还在于确定的空间格局。灌溉季节的降雨减少虽然不那么普遍,但却可能带来最重要的实际后果。对于Tmax和Tmin而言,检测到的显着趋势主要是正的,而对于Tmin则更为明显,通常会导致Delta T的减小。由于Delta观察到的普遍减小的抵消作用,ET0显示出主要的静止状态。 T和平均温度的增量。无论如何,相对于灌溉季节,ET0趋势主要为正。 SPI和SDI的结果符合非标准化指标的趋势,在30年的时间范围内,极端干旱事件发生的预期增加了一倍甚至三倍。最后,对玉米的CWR和向日葵的ED的分析表明,存在明显的积极趋势,其趋势可以在50年的时间里分别以分别约23%和44%的平均增量估算。

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