中国给水排水
中國給水排水
중국급수배수
CHINA WATER & WASTEWATER
2010年
3期
57-61
,共5页
降雨径流%过程模拟%不确定性分析%IHACRES水文模型%GLUE方法
降雨徑流%過程模擬%不確定性分析%IHACRES水文模型%GLUE方法
강우경류%과정모의%불학정성분석%IHACRES수문모형%GLUE방법
rainfall runoff%process simulation%uncertainty analysis%IHACRES hydrological model%GLUE method
根据降雨径流过程的特征,修正了IHACRES水文模型,并将其与GLUE方法结合,提出了资料缺乏区域降雨径流的分析方法,该方法包括模型参数范围的确定、参数组的筛选与权重的计算、验证与不确定性评价、预测等.利用该方法对深圳石岩河流域两场降雨径流过程的分析表明:模型校准和验证的Nash效率系数R~2分别为0.917和0.59,验证时实测径流量基本位于90%置信度预测区间内.该方法对研究流域降雨径流过程的模拟效果较好,径流预测及其不确定性分析可靠,其结果可为资料缺乏区域初期雨水截留规模的设计和方案优化提供依据.
根據降雨徑流過程的特徵,脩正瞭IHACRES水文模型,併將其與GLUE方法結閤,提齣瞭資料缺乏區域降雨徑流的分析方法,該方法包括模型參數範圍的確定、參數組的篩選與權重的計算、驗證與不確定性評價、預測等.利用該方法對深圳石巖河流域兩場降雨徑流過程的分析錶明:模型校準和驗證的Nash效率繫數R~2分彆為0.917和0.59,驗證時實測徑流量基本位于90%置信度預測區間內.該方法對研究流域降雨徑流過程的模擬效果較好,徑流預測及其不確定性分析可靠,其結果可為資料缺乏區域初期雨水截留規模的設計和方案優化提供依據.
근거강우경류과정적특정,수정료IHACRES수문모형,병장기여GLUE방법결합,제출료자료결핍구역강우경류적분석방법,해방법포괄모형삼수범위적학정、삼수조적사선여권중적계산、험증여불학정성평개、예측등.이용해방법대심수석암하류역량장강우경류과정적분석표명:모형교준화험증적Nash효솔계수R~2분별위0.917화0.59,험증시실측경류량기본위우90%치신도예측구간내.해방법대연구류역강우경류과정적모의효과교호,경류예측급기불학정성분석가고,기결과가위자료결핍구역초기우수절류규모적설계화방안우화제공의거.
According to the characteristics of rainfall runoff process, the IHACRES model was modified and combined with the GLUE method to develop a simulation method for analyzing rainfall runoff in areas short of observed data. The simulation method includes four steps : determining the range of mod-el parameters, screening parameter sets and calculating their corresponding likelihood weights, validating and evaluating model uncertainties, and using the model to predict rainfall runoff. The simulation method was applied to analyze the rainfall runoff of two storm events in Shiyan River catchment of Shenzhen City. The results show that the Nash efficiency coefficients for the model calibration and validation are 0.917 and 0.59 respectively, and most observed runoff values in the model validation are located in the 90% confidence interval. With high simulation efficiency of rainfall runoff and reliable simulation and uncer-tainty analysis, the simulation method can provide a reference for the design and optimization of storm wa-ter interception projects in areas short of observed data.