高基流标准化基流干旱指数与SPEI的比较

Katherine A. Clancy
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引用次数: 0

摘要

增加使用流量,最重要的是最小流量/基流数据应纳入干旱指数,特别是在河流具有高基流成分的区域。对威斯康辛州北部、中部和南部17个以基流为主的流域进行了标准化降水和蒸散指数(SPEI)干旱指数的比较,并对径流标准偏离(SDSF)和基流标准偏离(SDBF)进行了比较。对于每个分水岭,SDSF、SDBF和SPEI时间序列(1个月、3个月和12个月时间尺度)的比较使用相关性、负值和正值的运行长度、符号一致性和Mann-Kendall趋势检验进行评估。一般来说,在较长的时间尺度上,SDBF比SDSF表现得更好。与SDSF和SPEI-1、SPEI-3和SPEI-12相比,SDBF的湿度变化趋势似乎更早得到区分。本研究的结果与区域气候对降水和降水强度变化的研究是一致的。这项研究强调了标准化基流数据的可靠性,并与SPEI 12个月的时间尺度进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Standardized Baseflow Drought Index Comparison to SPEI in High Baseflow Streams
Increased use of streamflow, most importantly minimum flow/baseflow data should be incorporated into drought indices, especially in regions where streams have a high baseflow component. Standard departure for streamflow (SDSF) and standard departure for baseflow (SDBF) were compared to the standardized precipitation and evapotranspiration index (SPEI) drought index values for 17 baseflow-dominated watersheds in the northern, central, and southern regions of Wisconsin. For each watershed, comparisons of SDSF, SDBF, and SPEI time series (for 1, 3, and 12-month time scales) were evaluated using correlation, run lengths of negative and positive values, sign congruence, and Mann-Kendall trend test. In general, SDBF performed better than SDSF for longer time scales. Trends of wetness appear to be distinguished earlier in SDBF compared to SDSF and SPEI-1, SPEI-3, and SPEI-12. The results of this study are consistent with regional statewide climate studies on precipitation and changes in precipitation intensity. This study highlights how standardized baseflow data are robust and compare to SPEI 12-month time scales.
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