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坝系相对稳定原理是淤地坝规划的理论基础。依据影响坝系稳定性的7个主要因素:坝控面积、坝数、总库容、可淤库容、坝前水深、防洪能力、淤地面积,以Matlab 7.0为平台,采用混沌神经网络(COBP)模型对马家沟流域13个坝系进行了稳定性分析。结果表明,13个坝系中有7个坝系处于不稳定状态,采用坝系稳定系数来校核COBP模型的计算结果,得出的结论一致,因此,可以判定采用神经网络方法得出的结果基本可信。此外,分析了7个坝系不稳定的原因,采用增加坝高和增加淤地坝数量的方法使7个不稳定坝系均达到稳定状态。通过对马家沟13个小流域淤地坝重新规划,形成的13个坝系全部处于稳定状态,可见COBP方法在确定流域坝系稳定方面具有实用的价值。
Dam system is relatively stable principle of silt dam planning theory. Based on the seven main factors that affect the stability of the dam system, such as dam control area, dam number, total storage capacity, silt storage capacity, water depth before dam, flood control capacity and siltation area, the Matlab 7.0 is used as the platform and the chaotic neural network (COBP) The model is used to analyze the stability of 13 dam systems in Majiagou watershed. The results show that seven of the 13 dam systems are in an unstable state. The stability of the dam system is used to check the calculation results of the COBP model. The conclusions are consistent. Therefore, the results obtained by the neural network method can be judged Basically credible. In addition, the reasons for the instability of the seven dam systems were analyzed. The methods of increasing the dam height and increasing the number of check dam were used to stabilize all seven unstable dam systems. Through the re-planning of the silt dam in 13 small watersheds in Majiagou, the 13 dam systems formed are all in a stable state. Therefore, the COBP method is of practical value in determining the stability of dam systems in the river basin.