The late-summer drought indexes are defined by using meteorological elements. And the variations of late summer drought in Chongqing is made with analysis of wavelet. The late summer drought prediction model based on BP neural network is established, too. The results show that the variations of late-summer drought in Chongqing contain obvious periodic features. The model is a superior and useful one for the actual operational forecasting.