指数时空插值法在某渠道污染物扩散模拟中的应用

Application of Exponential Spatiotemporal Interpolation Method in Simulation of Pollutant Diffusion in a Channel

文章结合污染物自身扩散理论特性和物理影响因素,引入时空插值基本理论即线性反距离时空插值计算法,然而其计算结果与污染物实测值之间存在一定的差异性。据此,文章对线性反距离时空插值法利用遗传法进行指数优化,并得到指数时空插值计算法。研究表明:相对于传统的采用单一时空插值法,基于遗传算法的线性反距离时空插值优化法可将预测结果精度提高约10%,同时表现出较强的精确性和可靠性,文章的研究成果可为渠道水污染预警提供一种新的解决方方法和思路。

Combined with the theoretical characteristics and physical effect factors of pollutants self diffusion,the principal theory of space-time interpolation was introduced in this paper,being the linear inverse distance interpolation algorithm,however,there were a certain of differences between results calculated and measured values of pollutants. In accordance with this,the linear inverse distance space-time interpolation method was optimized in exponents based on the genetic method in this study,afterwards,the method of exponential time and space interpolation was obtained. The study shows that：relative to traditional single space-time interpolation method,the linear inverse distance interpolation optimization method can increase about 10% of the predicted accuracy based on the genetic algorithm,meanwhile,showing strong accuracy and reliability,the achievements researched can provide a new solution method and thinking for warning against channel water pollution.