ADVANCE OF INVERT SIMULATION METHODS FOR GROUNDWATER POLLUTION SOURCE IDENTIFICATION

Abstract

Groundwater pollution source identification (GPSI) is an important support of contaminate removing, groundwater protecting, potable water security. As a typical ill-posed problem, GPSI has been studied for thirty years, and a brief review is given to conclude the characteristics of GPSI problems and the simulation method. The invert simulation method could be classified into four types: simulation-optimization method, analytical and regression method, direct method, and stochastic method. Most of these methods were studied with ideal numerical cases, further researches may focus on more complex GPSI problem, expressing physical chemistry and biological process, improving GPSI modeling efficiency, and model uncertainty.

Authors and Affiliations

Yuqiao Long, Tingting Cui, Wei Li, Zhongping Yang, Yongwei Gai

Keywords

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  • EP ID EP410931
  • DOI 10.26480/iceti.01.2017.86.89
  • Views 47
  • Downloads 0

How To Cite

Yuqiao Long, Tingting Cui, Wei Li, Zhongping Yang, Yongwei Gai (2017). ADVANCE OF INVERT SIMULATION METHODS FOR GROUNDWATER POLLUTION SOURCE IDENTIFICATION. Topics in Civil, Environmental & Building Engineering (TICEBE), 1(2), 86-89. https://europub.co.uk/articles/-A-410931