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Spatial and Temporal Variability in the Precipitation Concentration in the Upper Reaches of the Hongshui River Basin, Southwestern China

机译:中国西南红水河流域上游降水浓度的时空变化

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The statistical characteristics of precipitation play important roles not only in flood and drought risk assessments but also in water resource management. This paper implements a statistical analysis to study the spatial and temporal variability in precipitation in the upper reaches of the Hongshui River basin (UHRB), southwestern China, by analysing time series of daily precipitation from 18 weather stations during the period of 1959 to 2015. To detect precipitation concentrations and the associated patterns, three indices, the precipitation concentration index (PCI), precipitation concentration degree (PCD), and precipitation concentration period (PCP), were used. The relationships between the precipitation concentration indices (PCI, PCD, and PCP) and geographic variables (latitude, longitude, and elevation), large-scale atmospheric circulation indices, and summer monsoon indices were investigated to identify specific dependencies and spatial patterns in the precipitation distribution and concentration. The results show that high PCI values were mainly observed in the northeastern portion of the basin, whereas low PCI values were mainly detected in the southwest. The Mann-Kendall test results demonstrate that the majority of the UHRB is characterized by nonsignificant trends in the PCI, PCD, and PCP from 1959 to 2015. The PCP results reveal that rainfall in the UHRB mainly occurs in summer months, and the rainy season arrives earlier in the eastern UHRB than in the western UHRB. Additionally, the PCD results indicate that the rainfall in the western UHRB is more dispersed throughout the year than that in the eastern UHRB. Compared with other geographical factors, longitude is the most important variable that governs the spatial distribution and variations in annual precipitation and the precipitation concentration indices. Due to a combination of topography, the Indian subtropical high, and monsoon weakening, precipitation may be more concentrated in one period, especially in the eastern part of the basin, which increases the risk of drought.
机译:降水的统计特征不仅在洪水和干旱风险评估中而且在水资源管理中都起着重要作用。本文通过对1959年至2015年期间18个气象站日降水量的时间序列进行分析,以进行统计分析,以研究中国西南红水河流域(UHRB)上游的降水量的时空变化。为了检测降水浓度及其相关模式,使用了三个指标:降水浓度指数(PCI),降水浓度度(PCD)和降水浓度周期(PCP)。研究了降水浓度指数(PCI,PCD和PCP)与地理变量(纬度,经度和海拔),大规模大气环流指数和夏季风指数之间的关系,以确定降水中的特定依存关系和空间格局分布和集中度。结果表明,高PCI值主要出现在流域的东北部,而低PCI值主要出现在西南部。曼恩·肯德尔(Mann-Kendall)测试结果表明,从1959年到2015年,大多数UHRB的特征在于PCI,PCD和PCP的趋势不明显。PCP结果显示,UHRB的降雨主要发生在夏季和雨季。 UHRB东部到达的时间早于UHRB西部。此外,PCD结果表明,UHRB西部地区的降雨全年比UHRB东部地区的降雨分散。与其他地理因素相比,经度是控制年降水量和降水浓度指数的空间分布和变化的最重要变量。由于地形,印度副热带高压和季风减弱的综合作用,一个时期的降水可能更集中,特别是在盆地东部,这增加了干旱的风险。

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