  We consider stochastic partial differential equations on $\mathbb{R}^{d},
d\geq 1$, driven by a Gaussian noise white in time and colored in space, for
which the pathwise uniqueness holds. By using the Skorokhod representation
theorem we establish various strong stability results. Then, we give an
application to the convergence of the Picard successive approximation. Finally,
we show that in the sense of Baire category, almost all stochastic partial
differential equations with continuous and bounded coefficients have the
properties of existence and uniqueness of solutions as well as the continuous
dependence on the coefficients.
