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Determination of spatiotemporal distribution of Agricultural drought in Central Serbia (umadija)

机译:确定塞尔维亚中部农业干旱的时空分布(umadija)

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Over the past several decades, extreme drought events have become increasingly frequent in Central Serbia and have affected vast areas of land. In agriculture, the impact of drought is dramatic, especially if the soils in the affected area are shallow, like in most of the Šumadija Region where field crops, fruits and grapevines are traditionally rainfed. Exceptionally dry years have a multiple-year effect. Investment in irrigation is imminent but not feasible without state subsidies. To arrive at an impartial decision as to which part of a region should be given priority, it is extremely important to study the spatial distribution and severity of drought. Assessments made to date have resulted in the identification of areas with similar precipitation patterns. However, these assessments are rather crude and have classified parts of Serbia by precipitation depth or climatological precipitation deficit; as such, they are not accurate enough for agricultural purposes. Present-day needs call for more detailed analyses on a smaller scale for specific purposes such as plant production. It is a well-known fact that drought does not simultaneously affect an entire region. It is generally more severe in a certain area, less severe in another area, and may leave parts of the region unaffected. The objective of this research was to conduct a statistical analysis to determine the homogeneity of drought within a region, in spatial and temporal terms. Towards that end, the Standardized Precipitation Index (SPI) of the growing season was studied in 12 areas over a monitoring period of 60 years. Applying the Principle Component Analysis (PCA) method, a single dominant component with a total variance of 69.47% was determined, to which all sites contributed equally. Varimax rotation was then applied and resulted in the identification of three areas. Based on this study of the spatial distribution of drought in the considered region, only one area to the east could be reliably identified as experiencing neither extreme drought nor excessive moisture, while no such claim could be made about two other areas which were assessed. Consequently, drought mitigation measures may be based on separate, homogeneous units.
机译:在过去的几十年中,中塞尔维亚的极端干旱事件变得越来越频繁,并影响了大片土地。在农业中,干旱的影响是巨大的,尤其是在受灾地区土壤很浅的情况下,例如在Š umadija地区的大多数地区,传统上以大田作物,水果和葡萄为食。异常干燥的年份具有多年的影响。灌溉投资迫在眉睫,但没有国家补贴是不可行的。为了做出公正的决定,应优先考虑某个地区的哪个部分,研究干旱的空间分布和严重程度极为重要。迄今为止进行的评估已经确定了降水模式相似的地区。但是,这些评估相当粗略,并根据降水深度或气候降水不足对塞尔维亚的部分地区进行了分类。因此,它们对于农业目的而言不够准确。当前的需求要求针对特定目的(例如工厂生产)以较小的规模进行更详细的分析。众所周知,干旱并不会同时影响整个地区。通常在某个区域会更严重,而在另一个区域则不太严重,并且可能会使该区域的某些部分不受影响。这项研究的目的是进行统计分析,以时空角度确定区域内干旱的均匀性。为此,在60年的监测期内,在12个地区研究了生长期的标准降水指数(SPI)。应用主成分分析(PCA)方法,确定了一个总方差为69.47%的单一主要成分,所有位点均对其贡献相等。然后应用Varimax旋转,并确定了三个区域。根据对所考虑区域干旱空间分布的研究,仅能可靠地确定东部没有一个地区既没有遭受极端干旱也没有过分潮湿,而对另外两个被评估的地区则没有这样的主张。因此,减轻干旱的措施可能基于单独的同类单位。

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