: Many hydraulic structures such as small dams, culvert of roads, retention and detention ponds and especially the collection and disposal of surface water in urban runoff systems are designed by using the design precipitation with return periods of time and duration of time of concentration. Therefore, in any region Intensity-Duration-Frequency (IDF) curves play a significant role in the design of dimensions and components of these systems. But following the increasing emission of greenhouse gases because of human activities, the phenomenon of climate change has been engendered. This phenomenon has led to a change in precipitation patterns in various regions in the world. Therefore, the historical IDF curves are not citable. However, over estimation of the precipitation patterns will lead to additional costs in the administration of the installations, and underestimation of that will lead to lack of the responsibility of the capacity of these systems, fatality and financial damages in the future. In the present study, these curves are derived according to the climate change phenomenon. A case study was accomplished on the data of maximum annual precipitation intensity of the Isfahan meteorological synoptic station. This station was selected because of it has appropriate accuracy and time of the registered data and also availability of the IDF curves based on the historical data. In Iran, extraction of the IDF curves encounter many difficulties, because of absence of the rain gauge stations in required regions or shortness of its the time duration. In this research, in order to eliminate this problem, extraction of precipitation intensity with continued short of 24-hour precipitation has been done by using fractal theory. The error of fractal theory with registered experimental data in Isfahan station was reported from 8.91% to 11.23 %. In the present study, extractions of the IDF curves were divided into three periods: the historical period (1967-1993), the present period (1994-2014), and the future period (2015-2035). It was perceived that precipitation intensity with short-term duration increased because of changing in the climatology, and IDF curves are shifted upwards. It should be noted that in order to preparation of the data for predicting the daily precipitation in the future, the climatic scenarios are required. At this moment, the most reliable tool for producing climate scenarios, is the three-dimensional coupled atmosphere-ocean general circulation models (AOGCM). In this study, weighted output 15 AOGCM models under A2 emission scenario related to the Fourth Assessment Report (AR4) IPCC were used. Keywords: Climate change, Intensity-Duration-Frequency curves, Fractal theory, Maximum annual precipitation intensity, Isfahan synoptic meteorological station.