中国农村水利水电
中國農村水利水電
중국농촌수이수전
CHINA RURAL WATER AND HYDROPOWER
2014年
11期
86-89,97
,共5页
陈啸%张祺%杜征%周家文
陳嘯%張祺%杜徵%週傢文
진소%장기%두정%주가문
堰塞湖%风险评估%逻辑回归%主成分分析
堰塞湖%風險評估%邏輯迴歸%主成分分析
언새호%풍험평고%라집회귀%주성분분석
dammed lake%risk assessment%logistic regression%principal components analysis
堰塞湖是一种由地震、降水等原因引发的山崩、滑坡堵截河道,使河道贮水形成湖泊的常见地质现象。大部分堰塞湖会在形成后短时间内溃决,所以快速准确地评价堰塞湖溃决的风险就显得相当重要。从应急评估的要求出发,综合考虑影响堰塞湖溃决的关键因素,借助主成分分析确定评价指标。在此基础上利用日本的36例堰塞湖及汶川地震形成的8例堰塞湖建立了2种评估堰塞湖稳定性的逻辑回归模型,其预测结果的准确率均为86.4%,证明其有较好的预测能力。同时文章进一步讨论了如何利用逻辑函数值进行堰塞湖风险评估,并总结了逻辑回归模型的优势与不足。
堰塞湖是一種由地震、降水等原因引髮的山崩、滑坡堵截河道,使河道貯水形成湖泊的常見地質現象。大部分堰塞湖會在形成後短時間內潰決,所以快速準確地評價堰塞湖潰決的風險就顯得相噹重要。從應急評估的要求齣髮,綜閤攷慮影響堰塞湖潰決的關鍵因素,藉助主成分分析確定評價指標。在此基礎上利用日本的36例堰塞湖及汶川地震形成的8例堰塞湖建立瞭2種評估堰塞湖穩定性的邏輯迴歸模型,其預測結果的準確率均為86.4%,證明其有較好的預測能力。同時文章進一步討論瞭如何利用邏輯函數值進行堰塞湖風險評估,併總結瞭邏輯迴歸模型的優勢與不足。
언새호시일충유지진、강수등원인인발적산붕、활파도절하도,사하도저수형성호박적상견지질현상。대부분언새호회재형성후단시간내궤결,소이쾌속준학지평개언새호궤결적풍험취현득상당중요。종응급평고적요구출발,종합고필영향언새호궤결적관건인소,차조주성분분석학정평개지표。재차기출상이용일본적36례언새호급문천지진형성적8례언새호건립료2충평고언새호은정성적라집회귀모형,기예측결과적준학솔균위86.4%,증명기유교호적예측능력。동시문장진일보토론료여하이용라집함수치진행언새호풍험평고,병총결료라집회귀모형적우세여불족。
Dammed Lake is a common geological phenomenon which happens when landslides caused by earthquakes ,rainfalls block the river course .After the formation of a dammed lake ,it usually fails in a short period of time .Thus ,it's vital to assess the proba‐bility of dammed lakes'breaching quickly and precisely .This paper focuses on the demand of emergent risk assessment ,takes chief factors that influence the stability of dammed lakes into consideration to select several significant variables ,and utilizing principal components analysis (PCA) to determine the combination of these variables .Based on a dataset consisting of 36 Japanese dammed lakes and 8 Chinese dammed lakes showed after the Wenchuan earthquake ,this study establishes two logistic regression models .The accuracy of two models'forecast is 86 .4% ,showing that they have rather high predictive abilities .Then this paper discusses how to use the results of two models to assess the risk of dammed lakes ,and discusses advantages and limitations of the logistic regression models .