正Objective The Khondalite Belt is a nearly E–W-trending Paleoproterozoic Himalayan-type orogen in the Western Block of the North China Craton. It is regarded as a result of the collision between the northern Yinshan Block and the southern Ordos Block at ~1.95 Ga, which led to the formation of the united basement of the Western Block(e.g., Zhao et al., 2005; Yin et al., 2011). The Khondalite Belt has undergone long-term continent-continen collisional orogenic processes, and a remarkable series of late-stage orogen-parallel ductile shear zones developed(e.g., Huang et al., 2013; Gong et al., 2014). 相似文献
In the numerical simulation of groundwater flow, uncertainties often affect the precision of the simulation results. Stochastic and statistical approaches such as the Monte Carlo method, the Neumann expansion method and the Taylor series expansion, are commonly employed to estimate uncertainty in the final output. Based on the first-order interval perturbation method, a combination of the interval and perturbation methods is proposed as a viable alternative and compared to the well-known equal interval continuous sampling method (EICSM). The approach was realized using the GFModel (an unsaturated-saturated groundwater flow simulation model) program. This study exemplifies scenarios of three distinct interval parameters, namely, the hydraulic conductivities of six equal parts of the aquifer, their boundary head conditions, and several hydrogeological parameters (e.g. specific storativity and extraction rate of wells). The results show that the relative errors of deviation of the groundwater head extremums (RDGE) in the late stage of simulation are controlled within approximately ±5% when the changing rate of the hydrogeological parameter is no more than 0.2. From the viewpoint of the groundwater head extremums, the relative errors can be controlled within ±1.5%. The relative errors of the groundwater head variation are within approximately ±5% when the changing rate is no more than 0.2. The proposed method of this study is applicable to unsteady-state confined water flow systems.