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Spatial and temporal characteristics of droughts in Luanhe River basin, China

机译:Lu河流域干旱的时空特征

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The spatial and temporal characteristics of drought are investigated for Luanhe River basin, using monthly precipitation data from 26 stations covering the common period of 1958-2011. The spatial pattern of drought was assessed by applying principal component analysis (PCA) to the Standardized Precipitation Index (SPI) computed on 3- and 12-month time scales. In addition, annual SPI and seasonal SPIs (including spring SPI, summer SPI, autumn SPI, and winter SPI) were also defined and considered in this study to characterize seasonal and annual drought conditions, respectively. For all seven SPI cases, three distinctive sub-regions with different temporal evolutions of droughts are well identified, respectively, representing the southeast, middle, and northwest of the Luanhe River basin. The Mann-Kendall (MK) trend test with a trend-free pre-whitening (TFPW) procedure and Sen's method were used to determine the temporal trends in the annual and seasonal SPI time series. The continuous wavelet transform (CWT) was employed for further detecting the periodical features of drought condition in each sub-region. Results of MK and Sen's tests show a general tendency of intensification in summer drought over the entire basin, while a significant mitigating trend in spring drought. On the whole, an aggravating trend of inter-annual drought is discovered across the basin. Based on the CWT, the drought variability in the basin is generally dominated by 16- to 64-month cycles, and the 2- to 6-year cycles appear to be obvious when concerned with annual and seasonal droughts. Furthermore, a cross wavelet analysis was performed to examine the possible links between the drought conditions and large-scale climate patterns. The teleconnections of ENSO, NAO, PDO, and AMO show significant influences on the regional droughts principally concentrated in the 16- to 64-month period, maybe responsible for the physical causes of the cyclical behavior of drought occurrences. PDO and AMO also highlight a noteworthy correlation with drought variability on a decadal scale (around 128-month period). The findings of this study will provide valuable references for regional drought mitigation and water resource management.
机译:利用1958-2011年共同时期26个台站的月降水量数据,对he河流域的干旱时空特征进行了研究。通过将主成分分析(PCA)应用于以3个月和12个月时间尺度计算的标准降水指数(SPI),可以评估干旱的空间格局。此外,本研究中还定义并考虑了年度SPI和季节性SPI(包括春季SPI,夏季SPI,秋季SPI和冬季SPI)来分别表征季节和年度干旱状况。对于所有七个SPI案例,都可以很好地识别出三个分别具有不同干旱时间演变特征的分区,分别代表the河流域的东南部,中部和西北部。使用无趋势预增白(TFPW)程序和Sen方法的Mann-Kendall(MK)趋势测试来确定年度和季节性SPI时间序列的时间趋势。连续小波变换(CWT)被用于进一步检测每个分区干旱状况的周期性特征。 MK和Sen的检验结果表明,整个盆地夏季干旱普遍加剧,而春季干旱有明显缓解趋势。总体上,整个盆地发现年际干旱的加剧趋势。基于CWT,流域的干旱变化通常以16至64个月的周期为主导,而当涉及年度和季节性干旱时,2至6年的周期似乎很明显。此外,进行了交叉小波分析以检验干旱条件与大规模气候模式之间的可能联系。 ENSO,NAO,PDO和AMO的遥相关显示出对区域干旱的重大影响,这些干旱主要集中在16到64个月期间,这可能是造成干旱发生周期性行为的物理原因。 PDO和AMO还强调了十年尺度(约128个月左右)与干旱变异性之间的显着相关性。这项研究的结果将为减轻区域干旱和水资源管理提供有价值的参考。

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