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An accurate forecast of runoff is very significant so that there is ample time for the pertinent authority to issue a forewarning of the impending flood. Due to the highly dimension and nonlinear, the calibration of hydrological model become very complex, so the unique “best” parameter set can not be obtained easily. In this study, an MCMC sampler entitled the Shuffled Complex Evolution Metropolis...
A new fuzzy multi-objective decision-making model based on vague set theory and entropy method is presented in this paper. In the proposed model, the alternative schemes are weighted evaluation according to the integrated vague value of its elements relative to the ideal scheme. In order to calculate attributes weights objectively and accurately, a modified entropy weights calculation formula is proposed...
The objective of this study is to carry out reliability and risk analyses of a methodology of dynamically applying Flood Control Level (FCL) within a constraint boundary for the Three Gorges Reservoir (TGR) in middle China. The dynamic application model is based on the mid-term inflow forecasts, with different dispatching rules developed for forthcoming inflows of different magnitudes. The reliability...
Genetic algorithm (GA) is a global search technique and useful in finding near optimal solutions to complex non-linear optimization problems. Therefore, it is applied in this study to calibrate a lumped Xinanjiang hydrological model having 16 parameters. The lumped model consists 4 components: runoff generation, evapotranspiration , runoff subdivision and slope runoff routing. It is ?lumped?, for...
According to the objective weigh provided by fuzzy iteration methodology, the paper presents the concept of weight tradeoff coefficient, combining subjective and objective weight together. Since the method takes into account, in the meantime, the objective intent of decision-maker and the natural property of alternative, the weight and relative member-ship degree are directly obtained from the recommended...
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