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Spatial and temporal characteristics of rainfall across Ganjiang River Basin in China

机译:赣江流域降水的时空特征

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The hydrological variations of Ganjiang River Basin have significant influence on the ecological environment of Poyang Lake, which is one of the largest freshwater lake and wetland in the world. This study analyzed the spatial and temporal characteristics of rainfall across Ganjiang River Basin. The analyses include annual total rainfall amount (ATRA), annual total rainy day (ATRD) and annual mean daily rainfall intensity (AMDRI). To detect changes in the hydrological trends, data from 19 rainfall stations from 1953 to 2013 were used in the analyses. First, quality control and homogeneity detection was carried out to examine the annual rainfall series. Second, the spatial correlation analysis was used to identify the spatial relationship among the measurements from different stations. Finally, the statistics of coefficient of variation (CV) and average were used to analyze the interannual variation trend. The modified Mann-Kendall (MMK) trend test method was used to detect the temporal characteristics of rainfall. The results include: (1) Some outliers were detected and corrected. (2) The correlation of ATRA and ATRD series of all the stations had lower spatial variability while the AMDRI series of all the stations had higher spatial variability. On the other hand, the ATRA, ATRD and AMDRI series of single stations show similar spatial variability and the influencing radius of the rainfall events was less than 50 km. (3) the rainfall at the northern and southern parts of the basin had smaller CV. Further, by applying the MMK test method to the ATRA, ATRD, and AMDRI series, the ATRA series has an increasing trend which is opposite to that of the ATRD series. The increasing trend in the ATRA series also led to the increasing trend in the AMDRI series. These stations are mainly in central and northern parts of the basin which are more likely to experience droughts and floods. Thus, for the central and northern parts of the basin, they should receive particular attention on the prevention and treatment of droughts and floods.
机译:赣江流域的水文变化对of阳湖的生态环境有重要影响,Po阳湖是世界上最大的淡水湖和湿地之一。本研究分析了赣江流域降雨的时空特征。分析包括年度总降雨量(ATRA),年度总雨天(ATRD)和年度平均日降雨强度(AMDRI)。为了检测水文趋势的变化,在分析中使用了1953年至2013年的19个降雨站的数据。首先,进行质量控制和均质性检测以检验年降雨量序列。其次,使用空间相关性分析来识别来自不同站点的测量值之间的空间关系。最后,使用变异系数(CV)和平均值的统计数据来分析年际变化趋势。改进的Mann-Kendall(MMK)趋势测试方法用于检测降雨的时间特征。结果包括:(1)检测并纠正了一些异常值。 (2)所有台站的ATRA和ATRD系列的相关性具有较低的空间变异性,而所有台站的AMDRI系列的相关性具有较高的空间变异性。另一方面,ATRA,ATRD和AMDRI系列单站显示出相似的空间变异性,降雨事件的影响半径小于50 km。 (3)流域北部和南部的降雨CV较小。此外,通过将MMK测试方法应用于ATRA,ATRD和AMDRI系列,ATRA系列具有与ATRD系列相反的增长趋势。 ATRA系列的增长趋势也导致了AMDRI系列的增长趋势。这些站主要位于盆地的中部和北部,它们更容易遭受干旱和洪灾。因此,对于盆地的中部和北部,应该特别注意干旱和洪水的预防和处理。

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