The mining association rules for water table fluctuations analysis of Ghazvin city by Apriori algorithm

The necessity of existence of a model is very important for suitable planning along with management of ground water resources and with regard to water scarcity and decline aquifers. Because of various factors in the amount of changes the depth of the aquifer can be effective. in this article by using association rules, dependency between aquifer depth changes in irrigation network of Qazvin city and human and natural factors affecting on it, was investigated. for the years 2001 to 2015 using Apriori algorithm. to evaluate accuracy of the rules used three indicator such as lift, support percent and confidence percent.The results show that the maximum positive correlation has been between two sets of the Antecedent value, consisting high percent of relative humidity and low volume of water in irrigation network and withdraw of agricultural water, and Consequent, rising of aquifer depth more than one meter. With 4.8 percent of support it can be stated that effective factors on aquifer fluctuations are low precipitation, high volume of water in irrigation network and high crop water requirements occurred simultaneously with decline of 0.3 to one meter. In cases that the temperature was high, air humidity and precipitation were low, the decline has been 0.3 to one meter with 66 percent of confidence. Furthermore, due to the derived association rules by increasing withdrawal of water from the well, air temperature, volume of water in irrigation network and crop water requirements, causes aquifer drops and On the other hand, increasing air humidity and precipitation causes a slump in aquifer decline.