| 洪水概率预报评价指标研究 |
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| 引用本文： | 蒋晓蕾,梁忠民,胡义明,王军,李彬权.洪水概率预报评价指标研究[J].湖泊科学,2020,32(2):539-552. |
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| 作者姓名： | 蒋晓蕾 梁忠民 胡义明 王军 李彬权 |
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| 作者单位： | 河海大学水文水资源学院, 南京 210098,河海大学水文水资源学院, 南京 210098,河海大学水文水资源学院, 南京 210098,河海大学水文水资源学院, 南京 210098,河海大学水文水资源学院, 南京 210098 |
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| 基金项目： | 国家重点基础研发计划项目（2016YFC0402709）和国家自然科学基金项目（41730750）联合资助. |
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| 摘 要： | 在分析现有洪水概率预报评价指标的基础上,建立了洪水概率预报的"精度-可靠度"联合评价指标体系"精度"指标用于评价倾向值预报的准确性,包括确定性系数、相对误差等指标;"可靠度"指标用于评价区间预报的合理性,包括覆盖率、区间离散度等指标其中,在"可靠度"评价指标中,提出了一个新的评价指标,即覆盖率判定系数,用以评价多个区间预报结果的整体合理性以淮河王家坝区间流域为例进行应用研究,结果表明:"精度-可靠度"联合评价指标体系可以对洪水概率预报结果的合理性做出更全面的评价.
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| 关 键 词： | 洪水概率预报 倾向值预报 区间预报 覆盖率判定系数 精度-可靠度联合评价指标体系 淮河流域 |
| 收稿时间： | 2019/5/16 0:00:00 |
| 修稿时间： | 2019/8/9 0:00:00 |
Research on assessment criteria in probabilistic flood forecasting |
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| JIANG Xiaolei,LIANG Zhongmin,HU Yiming,WANG Jun and LI Binquan.Research on assessment criteria in probabilistic flood forecasting[J].Journal of Lake Science,2020,32(2):539-552. |
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| Authors: | JIANG Xiaolei LIANG Zhongmin HU Yiming WANG Jun and LI Binquan |
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| Institution: | College of Hydrology and Water Resources, Hohai University, Nanjing 210098, P. R. China,College of Hydrology and Water Resources, Hohai University, Nanjing 210098, P. R. China,College of Hydrology and Water Resources, Hohai University, Nanjing 210098, P. R. China,College of Hydrology and Water Resources, Hohai University, Nanjing 210098, P. R. China and College of Hydrology and Water Resources, Hohai University, Nanjing 210098, P. R. China |
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| Abstract: | Based on the analysis of the evaluating indicators used in the study of probabilistic flood forecasting, a system of assessment criteria in probabilistic flood forecasting is established named as the "accuracy-reliability" joint assessment criteria system. In this system, the "accuracy" estimation refers to assess the precision of preferred prediction using the indicators like Nash-Sutcliffe efficiency, relative errors and so on. While the "reliability" assessment means to evaluate the reasonability of predicted interval using the indicators like containing ratio, deviation index and so on. Meanwhile, a new "reliability" assessment indicator named the containing ratio coefficient is proposed to assess the comprehensive reasonability of multiple predicted intervals. The accuracy-reliability joint assessment criteria system is tested in Wangjiaba subbasin in Huaihe River. The results suggested that this system gives a synthetic evaluation of the probabilistic flood forecasting. |
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| Keywords: | Probabilistic flood forecasting preferred value interval prediction containing ratio coefficient accuracy-reliability joint assessment criteria system Huaihe Basin |
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