灾害学
災害學
재해학
JOURNAL OF CATASTROPHOLOGY
2015年
1期
187-192
,共6页
接小峰%徐林荣%曹禄来%吴强
接小峰%徐林榮%曹祿來%吳彊
접소봉%서림영%조록래%오강
铁路水害%特征分析%Logistic模型%概率预测%风险管理
鐵路水害%特徵分析%Logistic模型%概率預測%風險管理
철로수해%특정분석%Logistic모형%개솔예측%풍험관리
railway water disaster%feature analysis%Logistic model%probability prediction%risk management
我国铁路水害频发且损失巨大,如何有效防范,已成业界难题,更为运营部门汛期工作重点。但铁路水害泛指由降水或其他水源造成断道、限速事故的灾害,预测预报缺乏针对性。鉴于此,首先,借鉴水利学水害概念,丰富了铁路水害的机理内涵,再结合铁路调研,明确了预测目标的外延;其次,基于京广线湖(南)广(东)区段水害气象、地质与设施条件统计,分析了铁路水害的时空分布特征,建立了致灾因子指标体系;最后,针对降水这一关键诱发因子,筛选出1 h与日降雨量两个相关性最强的计算参数,建立了logistic概率预测模型。模型检验表明:其统计学检验通过,且对于灾害实际情况预测效果较好,可为铁路水害风险管理及防范措施的制定提供参考。
我國鐵路水害頻髮且損失巨大,如何有效防範,已成業界難題,更為運營部門汛期工作重點。但鐵路水害汎指由降水或其他水源造成斷道、限速事故的災害,預測預報缺乏針對性。鑒于此,首先,藉鑒水利學水害概唸,豐富瞭鐵路水害的機理內涵,再結閤鐵路調研,明確瞭預測目標的外延;其次,基于京廣線湖(南)廣(東)區段水害氣象、地質與設施條件統計,分析瞭鐵路水害的時空分佈特徵,建立瞭緻災因子指標體繫;最後,針對降水這一關鍵誘髮因子,篩選齣1 h與日降雨量兩箇相關性最彊的計算參數,建立瞭logistic概率預測模型。模型檢驗錶明:其統計學檢驗通過,且對于災害實際情況預測效果較好,可為鐵路水害風險管理及防範措施的製定提供參攷。
아국철로수해빈발차손실거대,여하유효방범,이성업계난제,경위운영부문신기공작중점。단철로수해범지유강수혹기타수원조성단도、한속사고적재해,예측예보결핍침대성。감우차,수선,차감수리학수해개념,봉부료철로수해적궤리내함,재결합철로조연,명학료예측목표적외연;기차,기우경엄선호(남)엄(동)구단수해기상、지질여설시조건통계,분석료철로수해적시공분포특정,건립료치재인자지표체계;최후,침대강수저일관건유발인자,사선출1 h여일강우량량개상관성최강적계산삼수,건립료logistic개솔예측모형。모형검험표명:기통계학검험통과,차대우재해실제정황예측효과교호,가위철로수해풍험관리급방범조시적제정제공삼고。
Railway water disasters occur repeatedly,and cause great losses.How to effectively monitor and prevent the disasters is a work focus of the operation unit during flood seasons and is a difficult problem.However, railway floods generally refer to disasters of off road or speed limit accidents caused by precipitation or other water causes,whose prediction and forecast lack pertinence.In view of this,first of all,the mechanism connotation of railway water disaster is enriched according to the conservancy connotation of water disaster.Combining with rail-way research,the extension of the forecasting target is defined.Then,based on statistics on meteorological,geolog-ical and facilities conditions of water disasters along Jing-Guang railway,temporal and spatial distribution character-istics of railway water disasters are analyzed and a disaster factor index system is established.Finally,according to the critical precipitation inducing factor,two calculation parameters with the strongest correlation are selected as 1 h and the daily rainfall,and a logistic probability prediction model is established.Model test shows that:its statisti-cal test is passed,and the actual situation of disaster prediction is good,which could provide reference for railway flood risk management and prevention.