  Extracting reliable information on certain physical properties of materials,
like thermal behavior, such as thermal transport, which can be very
computationally demanding. Aiming to overcome such difficulties in the
particular case of lattice thermal conductivity (LTC) of 2D nanomaterials, we
propose a simple, fast, and accurate semi-empirical approach for its
calculation.The approach is based on parameterized thermochemical equations and
Arrhenius-like fitting procedures, thus avoiding molecular dynamics or
\textit{ab initio} protocols, which frequently demand computationally expensive
simulations. As proof of concept, we obtain the LTC of some prototypical
physical systems, such as graphene (and other 2D carbon allotropes), hexagonal
boron nitride (hBN), silicene, germanene, binary, and ternary BNC latices and
two examples of the fullerene network family. Our values are in good agreement
with other theoretical and experimental estimations, nonetheless being derived
in a rather straightforward way, at a fraction of the computational cost.
