期刊
JOURNAL OF CONTAMINANT HYDROLOGY
卷 185, 期 -, 页码 51-60出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jconhyd.2016.01.004
关键词
Source identification; Groundwater pollution; Surrogate model
资金
- National Natural Science Foundation of China [41372237]
- Doctoral Program of the Ministry of Education [20120061110058]
- Graduate Innovation Fund of Jilin University [2015026, 2015083]
As the incidence frequency of groundwater pollution increases, many methods that identify source characteristics of pollutants are being developed. In this study, a simulation optimization approach was applied to determine the duration and magnitude of pollutant sources. Such problems are time consuming because thousands of simulation models are required to run the optimization model. To address this challenge, the Kriging surrogate model was proposed to increase computational efficiency. Accuracy, time consumption, and the robustness of the Kriging model were tested on both homogenous and non-uniform media, as well as steady-state and transient flow and transport conditions. The results of three hypothetical cases demonstrate that the Kriging model has the ability to solve groundwater contaminant source problems that could occur during field site source identification problems with a high degree of accuracy and short computation times and is thus very robust. (C) 2016 Elsevier B.V. All rights reserved.
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