Review of the uncertainty analysis of groundwater numerical simulation

来源 :Chinese Science Bulletin | 被引量 : 0次 | 上传用户:youqianlowa
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Groundwater system is a complex and open system, which is affected by natural conditions and human activities. Natural hydrological processes is conceptualized through relatively simple flow governing equations in groundwater models. Moreover, observation data is always limited in field hydrogeological conditions. Therefore, the predictive results of groundwater simulation often deviate from true values, which is attribute to the uncertainty of groundwater numerical simulation. According to the process of system simulation, the uncertainty sources of groundwater numerical simulation can be divided into model parameters, conceptual model and observation data uncertainties. In addition, the uncertainty stemmed from boundary conditions is sometimes refered as scenario uncertainty. In this paper, the origination and category of groundwater modeling uncertainty are analyzed. The recent progresses on the methods of groundwater modeling uncertainty analysis are reivewed. Furthermore, the researches on the comprehensive analysis of uncertainty sources, and the predictive uncertainty of model outputs are discussed. Finally, several prospects on the deveolpment of groundwater modeling uncetainty analysis are proposed. Groundwater system is a complex and open system, which is affected by natural conditions and human activities. Natural, hydrological processes are conceptualized through relatively simple flow governing equations in groundwater models. Therefore, the predictive results of groundwater simulation often deviate from true values, which is attribute to the uncertainty of groundwater numerical simulation. In addition, the uncertainty stemmed from boundary conditions is sometimes refered as scenario uncertainty. In this paper, the origives and category of groundwater modeling uncertainty analyzed are reivewed. arches on the comprehensive analysis of uncertainty sources, and the predictive uncertainty of model outputs are discussed. Finally, Several prospects on the deveolpment of groundwater modeling uncetainty analysis are proposed.
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