Impulsive noise is a significant concern for Single Input Multiple Output (SIMO) wireless communication systems. This paper evaluates the effectiveness of hybrid combining techniques in mitigating the impact of impulsive noise caused by both man-made and natural phenomena. The Selection combining-Equal Gain Combining (SC-EGC) and Selection Combining Maximal Ratio Combining (SC-MRC) hybrid techniques are considered in the presence of three different noise models: Additive White Gaussian Noise (AWGN), Middleton Class-A impulsive noise model, and Symmetric Alpha Stable (SαS) impulsive noise model for the Rayleigh and Rician fading channels. Bit Error Rate (BER) is used to assess channel performance. The research contribution of this paper is the comprehensive evaluation of hybrid combining techniques in a set of noise models that can arise in wireless communication systems, including both man-made and natural sources of impulsive noise. The findings suggest that impulsive noise has a greater impact on channel performance than AWGN noise, and hybrid combining techniques are more effective in mitigating its effects. The results have significant research significance and practical implications for SIMO wireless communication systems, and can guide the development of more robust and reliable communication systems in the presence of impulsive noise.