机译:结合监视位置影响因子和频率因子的链接模拟-优化,有效识别未知地下水污染源
Discipline of Civil and Environmental Engineering, School of Engineering and Physical Sciences,James Cook University, Townsvillc, QLD 4811, Australia,CRC for Contamination Assessment and Remediation of the Environment, Mawson Lakes,SA 5095, Australia;
Discipline of Civil and Environmental Engineering, School of Engineering and Physical Sciences,James Cook University, Townsvillc, QLD 4811, Australia,CRC for Contamination Assessment and Remediation of the Environment, Mawson Lakes,SA 5095, Australia;
Discipline of Civil and Environmental Engineering, School of Engineering and Physical Sciences,James Cook University, Townsvillc, QLD 4811, Australia;
Discipline of Civil and Environmental Engineering, School of Engineering and Physical Sciences,James Cook University, Townsvillc, QLD 4811, Australia;
Optimal monitoring network; Groundwater pollution; Pollution source identification; Genetic programming; Simulated annealing; Optimization;
机译:多目标监测网络设计,结合基于遗传程序的监测方法,可有效识别未知地下水污染源
机译:基于ANN-GA的模拟优化模型识别未知的地下水污染源并确定最佳井位
机译:基于ANN-GA的模拟优化模型识别未知的地下水污染源并确定最佳井位
机译:一种新的仿真优化方法,用于同时识别面下地下水污染源的空间分布和源通量
机译:两种与染色质相关的因子的研究:MeCP2分析和与Rett综合征相关的突变鉴定绝缘子蛋白CTCF的辅助因子
机译:影响移动源空气污染影响的空间范围的因素:荟萃分析
机译:优化监测网络设计,以了解未知地下水污染源的高效识别