Drought is one of the severe natural disasters to impact human society and occurs widely and frequently in China,causing considerable damage to the living environment of humans.The Yellow River basin(YRB)of China show...Drought is one of the severe natural disasters to impact human society and occurs widely and frequently in China,causing considerable damage to the living environment of humans.The Yellow River basin(YRB)of China shows great vulnerability to drought in the major basins;thus,drought monitoring in the YRB is particularly important.Based on monthly data of 124 meteorological stations from 1961 to 2015,the Standardized Precipitation Evapotranspiration Index(SPEI)was used to explore the temporal and spatial patterns of drought in the YRB.The periods and trends of drought were identified by Extreme-point Symmetric Mode Decomposition(ESMD),and the research stages were determined by Bernaola-Galvan Segmentation Algorithm(BGSA).The annual and seasonal variation,frequency and intensity of drought were studied in the YRB.The results indicated that(1)for the past 55 years,the drought in the YRB has increased significantly with a tendency rate of-0.148(10 a)^(-1),in which the area Lanzhou to Hekou was the most vulnerable affected(-0.214(10 a)^(-1));(2)the drought periods(2.9,5,10.2 and 18.3 years)and stages(1961–1996,1997–2002 and 2003–2015)were characterized and detected by ESMD and BGSA;(3)the sequence of drought frequency was summer,spring,autumn and winter with mean values of 71.0%,47.2%,10.2%and 6.9%,respectively;and(4)the sequence of drought intensity was summer,spring,winter and autumn with mean values of 0.93,0.40,0.05 and 0.04,respectively.展开更多
基于黄河流域2000年6月至2017年12月的地面栅格CPAP数据,选择多时间尺度的标准化降水指数(SPI),运用统计指标评估IMERG Early Run V6降水产品在流域实时干旱监测的性能。结果表明,IMERG能较准确地捕捉黄河流域的降水量空间变化,相关系...基于黄河流域2000年6月至2017年12月的地面栅格CPAP数据,选择多时间尺度的标准化降水指数(SPI),运用统计指标评估IMERG Early Run V6降水产品在流域实时干旱监测的性能。结果表明,IMERG能较准确地捕捉黄河流域的降水量空间变化,相关系数高于0.8的区域占流域面积的73%,相对偏差绝对值低于25%的区域占54%;尤其在湿润地区表现出较好的稳定性和可靠性。IMERG、CPAP数据计算的SPI在中下游大部分地区相关性较好(C_(C)>0.6)、命中率较高(0.5<P_(OD)<0.8)、虚警率较低(F_(AR)<0.5),而在黄河源区空间异质性较高;另外,随着时间尺度的增加,IMERG计算的SPI指数的适用性显著提高。IMERG实时监测干旱的方案明显高估了干旱特征,而在河套平原的效果相对较好,因此该方案适合黄河流域部分区域,但整体存在一定偏差,需谨慎使用。展开更多
基金supported by the Henan Province Scientific and Technological Project (Grant Nos. 162102410066 & 172102410075)the National Key Research and Development Plan (Grant No. 2016YFC0401407)the open research fund of the State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin at the China Institute of Water Resources and Hydropower Research (Grant No. IWHR-SKL-201701)
文摘Drought is one of the severe natural disasters to impact human society and occurs widely and frequently in China,causing considerable damage to the living environment of humans.The Yellow River basin(YRB)of China shows great vulnerability to drought in the major basins;thus,drought monitoring in the YRB is particularly important.Based on monthly data of 124 meteorological stations from 1961 to 2015,the Standardized Precipitation Evapotranspiration Index(SPEI)was used to explore the temporal and spatial patterns of drought in the YRB.The periods and trends of drought were identified by Extreme-point Symmetric Mode Decomposition(ESMD),and the research stages were determined by Bernaola-Galvan Segmentation Algorithm(BGSA).The annual and seasonal variation,frequency and intensity of drought were studied in the YRB.The results indicated that(1)for the past 55 years,the drought in the YRB has increased significantly with a tendency rate of-0.148(10 a)^(-1),in which the area Lanzhou to Hekou was the most vulnerable affected(-0.214(10 a)^(-1));(2)the drought periods(2.9,5,10.2 and 18.3 years)and stages(1961–1996,1997–2002 and 2003–2015)were characterized and detected by ESMD and BGSA;(3)the sequence of drought frequency was summer,spring,autumn and winter with mean values of 71.0%,47.2%,10.2%and 6.9%,respectively;and(4)the sequence of drought intensity was summer,spring,winter and autumn with mean values of 0.93,0.40,0.05 and 0.04,respectively.
文摘基于黄河流域2000年6月至2017年12月的地面栅格CPAP数据,选择多时间尺度的标准化降水指数(SPI),运用统计指标评估IMERG Early Run V6降水产品在流域实时干旱监测的性能。结果表明,IMERG能较准确地捕捉黄河流域的降水量空间变化,相关系数高于0.8的区域占流域面积的73%,相对偏差绝对值低于25%的区域占54%;尤其在湿润地区表现出较好的稳定性和可靠性。IMERG、CPAP数据计算的SPI在中下游大部分地区相关性较好(C_(C)>0.6)、命中率较高(0.5<P_(OD)<0.8)、虚警率较低(F_(AR)<0.5),而在黄河源区空间异质性较高;另外,随着时间尺度的增加,IMERG计算的SPI指数的适用性显著提高。IMERG实时监测干旱的方案明显高估了干旱特征,而在河套平原的效果相对较好,因此该方案适合黄河流域部分区域,但整体存在一定偏差,需谨慎使用。
