人民黄河
人民黃河
인민황하
Yellow River
2014年
6期
43-46
,共4页
部分概率权重矩%矩法%GEV分布%Monte Carlo试验%参数估计%频率分析%洪水
部分概率權重矩%矩法%GEV分佈%Monte Carlo試驗%參數估計%頻率分析%洪水
부분개솔권중구%구법%GEV분포%Monte Carlo시험%삼수고계%빈솔분석%홍수
partial probability weifhted moments%method of moment%GEV distribution%Monte Carlo experiments%parameter estimatinf%fre-quency analysis%flood
应用部分概率权重矩研究了洪水频率分布参数的估计方法，采用MATLAB编程求解了GEV参数，并通过Monte Carlo试验对比了不同低删失样本的部分概率权重矩和矩法估计量的统计特性。以渭河林家村站、张家山站、氵状头站的年最大洪峰流量系列为例，进行了两种GEV分布参数估计方法的对比。结果表明：低删失样本的部分概率权重矩在高分位数估计方面呈现出良好的有效性，估计量的统计特性均较矩法好。
應用部分概率權重矩研究瞭洪水頻率分佈參數的估計方法，採用MATLAB編程求解瞭GEV參數，併通過Monte Carlo試驗對比瞭不同低刪失樣本的部分概率權重矩和矩法估計量的統計特性。以渭河林傢村站、張傢山站、氵狀頭站的年最大洪峰流量繫列為例，進行瞭兩種GEV分佈參數估計方法的對比。結果錶明：低刪失樣本的部分概率權重矩在高分位數估計方麵呈現齣良好的有效性，估計量的統計特性均較矩法好。
응용부분개솔권중구연구료홍수빈솔분포삼수적고계방법，채용MATLAB편정구해료GEV삼수，병통과Monte Carlo시험대비료불동저산실양본적부분개솔권중구화구법고계량적통계특성。이위하림가촌참、장가산참、수상두참적년최대홍봉류량계렬위례，진행료량충GEV분포삼수고계방법적대비。결과표명：저산실양본적부분개솔권중구재고분위수고계방면정현출량호적유효성，고계량적통계특성균교구법호。
It applied partial probability weifhted moments to research the flood frequency distribution parameters estimation. MATLAB proframs were used to achieve the parameters′numerical solution of the GEV. Monte Carlo experiments were performed to assess the statistical properties of parameters estimation of the GEV distribution by the method of PPWM from different lower bound censored samples and the method of moment. The method of estimatinf parameters of the GEV distribution from PPWM and MOM were used for flood frequency analysis of annual maximum floods peak flow series of LinJiacun,ZhanfJiashan and Zhuanftou hydrolofical stations. The results indicate that the method of partial probability weifhted moments from lower bound censored samples still has food effectiveness in hifh quantile estimation,the statistical properties of the estimators are al-so better than that of the moment method.
