| 考虑不确定性的长江流域极值降水指标时空变异分析 |
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| 引用本文： | 郭家力,郭靖,祝薄丽,李英海,程雄,戴凌全.考虑不确定性的长江流域极值降水指标时空变异分析[J].水文,2017,37(3):14-21. |
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| 作者姓名： | 郭家力 郭靖 祝薄丽 李英海 程雄 戴凌全 |
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| 作者单位： | 1.三峡大学水利与环境学院2.水资源安全保障湖北省协同创新中心3.梯级水电站运行与控制湖北省重点实验室(三峡大学)4.中国电建集团华东勘测设计研究院有限公司5.河海大学水文水资源学院 |
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| 基金项目： | 国家自然科学基金项目(41401018,51409152,51509141)；梯级水电站运行与控制湖北省重点实验室开放基金(2015KJX02)；三峡大学人才科研启动基金(KJ2014B030)； |
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| 摘 要： | 降低不确定性影响是进行极值降水事件时空变异合理分析的前提。基于6种大气环流模式的输出结果,采用分位数映射校正方法和多模式集合平均方法降低不确定性影响,分析了长江流域极值降水指标的时空变异规律。结果表明:原始的气候模式输出结果具有较大的不确定性,必须对其进行定量分析和采取适当有效的措施进行缓解。5个极值降水指标总体上相对于基准期均增加,最大增幅10%左右。仅个别区域的极值降水指标显示出变异的时间一致性,而空间变异在相同情景和时段上差别明显。
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| 关 键 词： | 长江流域 极值降水指标 不确定性 偏差校正 多模式集合 |
| 收稿时间： | 2016/9/15 0:00:00 |
Temporal and Spatial Variability of Extreme Precipitation Indices over Yangtze River Basin on Consideration of Uncertainty |
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| GUO Jiali,GUO Jing,ZHU Boli,LI Yinghai,CHENG Xiong,DAI Lingquan.Temporal and Spatial Variability of Extreme Precipitation Indices over Yangtze River Basin on Consideration of Uncertainty[J].Hydrology,2017,37(3):14-21. |
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| Authors: | GUO Jiali GUO Jing ZHU Boli LI Yinghai CHENG Xiong DAI Lingquan |
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| Institution: | 1. College of Hydraulic and Environmental Engineering, China Three Gorges University, Yichang 443002, China; 2. Hubei Provincial Collaborative Innovation Center for Water Resources Security, Wuhan 430072, China; 3. Hubei Key Laboratory of Cascaded Hydropower Stations Operation & Control, China Three Gorges University, Yichang 443002, China; 4. Huadong Engineering Corporation Limited, Power China, Hangzhou 310014, China; 5. College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China |
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| Abstract: | Reducing uncertainty is the premise to obtain reasonable analysis of spatial and temporal variation for extreme precipitation events. Based on the methods of quantile mapping and multi-model ensemble, the uncertainty could be diminished and the output data of six general circulation models were downscaled to analyze the spatial and temporal variation of the Extreme Precipitation Indices (EPI) in the Yangtze River Basin. The results indicate that sufficient uncertainty exists in the original global circulation model output, so uncertainty analysis and eliminating its impact by useful measures is necessary. Each EPI tends to increase compared to the baseline period and the maximum increase may reach to about 10%. The EPI shows the consistency of variation only in several regions at temporal scale, while exhibits great difference at spatial scale for the same emission scenario and period |
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| Keywords: | Yangtze River Basin extreme precipitation indices uncertainty bias correction multi-GCM ensemble |
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