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Standardized Precipitation Index Analyses with Wavelet Techniques at Watershed Basin

机译：小波技术在流域盆地标准化降水指数分析

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摘要

Climatic changes play an important role on agricultural production. Their impacts on agricultural sciences are significantly different form one region to another. There are many factors on the impact of climate change in farmlands. SPI (Standardized Precipitation Index) is one of the drought indices. SPI values show similar variation in relatively drought periods and different amounts of precipitation. The main aim of this study is to understand different factors and their role at different scales with wavelet analysis of long-term precipitation and the SPI data. All data is being evaluated under the catchment basin area. Data records cover Big Menderes Catchment area at Aegean Region in Turkey between 1960 and 2015. The results of this study underline in general small scale influences have more important role in all selected stations. Spatial variation of entropy at watershed basin has been associated with micro, meso or large scale influences. In general, gradually increasing trends of drought and wet conditions are resulted in small scale factors.
机译：气候变化对农业生产起着重要作用。它们对农业科学的影响从一个地区到另一个地区是截然不同的。有许多因素影响气候变化对农田的影响。 SPI（标准降水指数）是干旱指数之一。 SPI值在相对干旱时期和不同降水量下显示出相似的变化。本研究的主要目的是通过长期降水的小波分析和SPI数据来了解不同因素及其在不同尺度上的作用。所有数据都在流域范围内进行评估。数据记录涵盖了1960年至2015年之间土耳其爱琴海地区的大曼德斯集水区。这项研究的结果强调，一般的小规模影响在所有选定的测站中都具有更重要的作用。流域盆地熵的空间变化与微观，中观或大规模影响有关。通常，干旱和潮湿条件的逐渐增加趋势导致小规模因素。

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