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首页> 外文期刊>Advances in Meteorology >The Use of SPEI and TVDI to Assess Temporal-Spatial Variations in Drought Conditions in the Middle and Lower Reaches of the Yangtze River Basin, China
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The Use of SPEI and TVDI to Assess Temporal-Spatial Variations in Drought Conditions in the Middle and Lower Reaches of the Yangtze River Basin, China

机译:利用SPEI和TVDI评估中国长江中下游干旱条件下的时空变化

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摘要

Droughts represent the most complex and damaging type of natural disaster, and they have taken place with increased frequency in China in recent years. Values of the standardized precipitation evapotranspiration index (SPEI) calculated using station-based meteorological data collected from 1961 to 2013 in the middle and lower reaches of the Yangtze River Basin (MLRYRB) are used to monitor droughts. In addition, the SPEI is determined for different timescales (1, 3, 6, and 12 months) to characterize dry or wet conditions in this study area. Moreover, remote sensing methods can cover large areas, and multispectral and temporal observations are provided by satellite sensors. The temperature vegetation dryness index (TVDI) is selected to permit assessment of drought conditions. In addition, the correlation between the SPEI and TVDI values is calculated. The results show that the SPEI values over different timescales reflect complex variations in drought conditions and have been well applied in the MLRYRB. Droughts occurred on an annual basis in 1963, 1966, 1971, 1978, 1979, 1986, 2001, 2011, and 2013, particularly 2011. In addition, the regional average drought frequency in the study area during 1961–2013 is 30%, as determined using the SPEI. An analysis of the correlation between the monthly values of the TVDI and the SPEI-3 shows that a negative relationship exists between the SPEI-3 and the TVDI. That is, smaller TVDI values are associated with greater SPEI-3 values and reduced drought conditions, whereas larger TVDI values are associated with smaller SPEI-3 values and enhanced drought conditions. Therefore, this study of the relationship between the SPEI and the TVDI can provide a basis for government to mitigate the effects of drought.
机译:干旱是自然灾害中最复杂和最具破坏性的类型,近年来,干旱的发生频率在增加。使用从1961年至2013年在长江流域中下游(MLRYRB)收集的基于气象站的气象数据计算出的标准降水蒸发蒸腾指数(SPEI)的值用于监测干旱。此外,针对不同的时间范围(1、3、6和12个月)确定SPEI,以表征该研究区域的干燥或潮湿状况。此外,遥感方法可覆盖大面积区域,而卫星传感器可提供多光谱和时间观测。选择温度植被干燥指数(TVDI)以评估干旱条件。另外,还计算了SPEI和TVDI值之间的相关性。结果表明,不同时间尺度上的SPEI值反映了干旱条件的复杂变化,并已在MLRYRB中得到很好的应用。在1963年,1966年,1971年,1978年,1979年,1986年,2001年,2011年和2013年,特别是2011年,每年发生干旱。此外,1961-2013年研究区域的区域平均干旱频率为30%,使用SPEI确定。对TVDI和SPEI-3的月度值之间的相关性进行的分析表明,SPEI-3和TVDI之间存在负关系。也就是说,较小的TVDI值与较高的SPEI-3值和减少的干旱状况相关,而较大的TVDI值与较小的SPEI-3值和增强的干旱状况相关。因此,对SPEI与TVDI之间关系的研究可以为政府减轻干旱的影响提供基础。

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