Iman A. Kebria - ۱Environmental Researcher, Linnaeus University, Växjö
William Hogland, (Sweden) - Department of Biology and Environmental Science, Linnaeus University, Kalmar

Analysis of urban climate changing is the basis for the implementation of storm water managementmeasurements. Climate tensions such as changing precipitation patterns, fluctuations in temperature, andextreme events are already affecting water resources. For instance, precipitation pattern will be changed dueto more water vapor in the atmosphere. Hence, it will not be evenly distributed. Some places will see morerain, others will get less snow. However, climate changes, such as the amount, timing, and intensity of rainevents, in combination with land development, can significantly affect the amount of storm water runoff thatneeds to be managed. Firstly, this essay will be discussed about the prediction of climate change using a fuzzyneural network (FNN) and it shows the accuracy of this method for anticipating storm water. Secondly, basedon the results of the first phase, it determines the critical area for preparing storm water systems with theapplication of GIS tools and technology.

Storm water management, Climate change, Fuzzy Neural Network, Geographic information system