基于Budyko假设的昌马河流域径流变化归因分析
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尹振良, 朱睿, 方春爽, 杨华庆, 陈泽霞
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Attribution analysis of runoff variations in the Changma River Basin based on the Budyko hypothesis
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Zhenliang Yin, Rui Zhu, Chunshuang Fang, Huaqing Yang, Zexia Chen
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表5 径流与多个影响因子组合之间小波相干分析的统计值
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Table 5 Coherence between runoff and multiple influencing factor
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双变量 | MWC2 | PASC/% | 三变量 | MWC3 | PASC/% |
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LAI-SW | 0.95 | 60.65 | LAI-SW-SCE | 0.98 | 58.87 | LAI-SCE | 0.94 | 55.23 | LAI-SW-PCP | 0.98 | 58.03 | LAI-PCP | 0.95 | 53.40 | LAI-SW-ET0 | 0.98 | 55.55 | LAI-ET0 | 0.95 | 51.75 | LAI-SCE-PCP | 0.98 | 54.60 | PCP-SW | 0.95 | 51.24 | LAI-SCE-ET0 | 0.97 | 54.31 | PCP-ET0 | 0.95 | 51.19 | LAI-SW-SD | 0.97 | 54.29 | LAI-SD | 0.94 | 50.03 | LAI-PCP-ET0 | 0.98 | 53.11 | LAI-TMP | 0.95 | 47.23 | LAI-SCE-TMP | 0.97 | 51.84 | PCP-SCE | 0.96 | 44.40 | LAI-PCP-SD | 0.98 | 51.78 | PCP-SD | 0.95 | 40.47 | LAI-SW-TMP | 0.98 | 51.38 | PCP-TMP | 0.95 | 39.30 | LAI-SCE-SD | 0.97 | 49.20 |
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