暴雨灾害
暴雨災害
폭우재해
TORRENTIAL RAIN AND DISASTERS
2011年
4期
370-374
,共5页
高琦%金琪%王仁乔%顾永刚%徐明%王继竹
高琦%金琪%王仁喬%顧永剛%徐明%王繼竹
고기%금기%왕인교%고영강%서명%왕계죽
洪水%分级预估%面雨量预报%线性回归
洪水%分級預估%麵雨量預報%線性迴歸
홍수%분급예고%면우량예보%선성회귀
flood%classified forecast%area rainfall prediction%linear regression
基于面雨量预报和线性回归方法,建立长江上游洪水分级预估模型。在此基础上,挑选1971—2009年6—8月长江上游5个流域面雨量满足暴雨条件的203次过程,分别用一元多次方程、多元一次方程计算由暴雨产生的洪峰流量,并与实况流量增量进行对比,同时对该模型2010年汛期三次洪峰过程实时预报结果进行检验。结果表明:该预估模型对长江上游洪水分级具有一定的预估能力,其预报的宜昌洪峰流量以偏大为主,偏大(0.1~0.6)×104m3.s-1不等;同时,对长江上游洪水分级预估的量级把握较好,72 h内量级预报准确率达100%;洪峰流量逐日滚动预报误差检验结果显示,除一天的预报相对误差超过20%外,其余预报与实况的相对误差均小于20%;长江流域水文预报台7d面雨量定量预报产品的使用,可使宜昌洪峰预报提前5天。
基于麵雨量預報和線性迴歸方法,建立長江上遊洪水分級預估模型。在此基礎上,挑選1971—2009年6—8月長江上遊5箇流域麵雨量滿足暴雨條件的203次過程,分彆用一元多次方程、多元一次方程計算由暴雨產生的洪峰流量,併與實況流量增量進行對比,同時對該模型2010年汛期三次洪峰過程實時預報結果進行檢驗。結果錶明:該預估模型對長江上遊洪水分級具有一定的預估能力,其預報的宜昌洪峰流量以偏大為主,偏大(0.1~0.6)×104m3.s-1不等;同時,對長江上遊洪水分級預估的量級把握較好,72 h內量級預報準確率達100%;洪峰流量逐日滾動預報誤差檢驗結果顯示,除一天的預報相對誤差超過20%外,其餘預報與實況的相對誤差均小于20%;長江流域水文預報檯7d麵雨量定量預報產品的使用,可使宜昌洪峰預報提前5天。
기우면우량예보화선성회귀방법,건립장강상유홍수분급예고모형。재차기출상,도선1971—2009년6—8월장강상유5개류역면우량만족폭우조건적203차과정,분별용일원다차방정、다원일차방정계산유폭우산생적홍봉류량,병여실황류량증량진행대비,동시대해모형2010년신기삼차홍봉과정실시예보결과진행검험。결과표명:해예고모형대장강상유홍수분급구유일정적예고능력,기예보적의창홍봉류량이편대위주,편대(0.1~0.6)×104m3.s-1불등;동시,대장강상유홍수분급예고적량급파악교호,72 h내량급예보준학솔체100%;홍봉류량축일곤동예보오차검험결과현시,제일천적예보상대오차초과20%외,기여예보여실황적상대오차균소우20%;장강류역수문예보태7d면우량정량예보산품적사용,가사의창홍봉예보제전5천。
A flood classified projection model in the upper reaches of the Yangtze River was established with area rainfall forecast and linear regression method.We chose 203 processes whose area rainfall meets the heavy rain condition from five river basins in upper reaches of the Yangtze River during the period from June to August from 1971 to 2009.We also calculated the flood peak flow resulted from the heavy rain with the relevant regression equation and linear equation and contrasted the results with the observed flow increment.The real-time results made using this model were tested comparing with the three flood peak processes of flood season in 2010.The results show that the model has certain ability to predict flood classification in the upper reaches of the Yangtze River.The predicted flood flow result in Yichang was too large,which is(0.1~0.6)×104 m3.s-1.It has a better ability to predict the magnitude used for flood classification.The accuracy of predicted magnitude in 72 h reached 100%.The flood grades forecast of the upper reaches of the Yangtze River was realized with the model.The test result for 2010 showed that the qualified rate was all more than 80% except one day.By using the model the flood grades forecasted is 5 days ahead of the flood peak.