This paper studies the problem of constructing confidence intervals (CIs) for the difference between coefficients of variation (CV) of two censored zero-inflated gamma distributions. Firstly, we extend the CI construction method of gamma distribution, based on Fiducial inference, to the context of zero-inflated gamma distributions with censored data. Secondly, we propose a Box-Cox transformation based method to construct CIs for the CV difference of censored zero-inflated gamma distributions. Thirdly, we combine two gamma distribution CI estimates with three binomial distribution CI estimates using the Method of Variance Estimate Recovery (MOVER), and obtain six MOVER combination methods. Furthermore, we conduct Monte Carlo simulations to evaluate the performances of the proposed methods, the results indicate that all CI construction methods achieve satisfactory performances in terms of coverage probability, average length and tail error rates. Finally, we perform real data analysis using 11 years of precipitation data from Zhengzhou and Lhasa.