استفاده از تكنيك هاي داده كاوي در ارزيابي آسيب پذيري منابع آب زيرزميني در راستاي مديريت جامع منابع آب

چكيده انگليسي :

Data Mining Approaches on Groundwater Resources Vulnerability Assessment in Integrated Water Resources Management Hamed Taheri h taheri@cv iut ac ir Date of Submission April 7 2010 Department of Civil Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language Farsi Supervisor Dr Hamid Reza Safavi hasafavi@cc iut ac ir Advisor Dr M H Saraee mosaraee@cc iut ac ir Advisor Dr S Arshad sarshadir@yahoo com Abstract Managing natural resources is one of the main challenges facing every local government The growth of world population necessitates increase in agricultural and industrial products and consequently more of these resources to consume In addition managing the modern world has become a very difficult task which cannot be handled with the existing conventional techniques For a long time human activities were not controlled adequately in terms of supply and demand policies this leading to the situation that sustainability of water resources was harmed It is thought to be due to the lack of appropriate knowledge for decision makers On the other hand huge amounts of data are being generated from different resources which can be a great source are necessitated to become in usable form for managers Making use of suitable techniques to discover knowledge in form of patterns and rules from the distributed databases similar to water resources databases with noticeable complexity multiplicity and amount of data are seriously required Data Mining DM can be viewed as a result of the natural evolution of information technology Data Mining refers to extracting or mining knowledge from large amount of data searching for hidden pattern and identifying the relationship between the data This dissertation presents Data Mining DM approaches for groundwater resources vulnerability assessment in terms of knowledge towards integrated water resources management First of all providing an overview on water resources problems at the watershed scale the primary conceptual model on applying DM models towards water resources management problems has been developed Two case studies are presented to demonstrate the effectiveness of building DM models in water resources management First application is developed on estimating relative humidity in a climatological database Relative humidity is one of the important climatological parameters that has a significant effect on air quality and water resources management indices It is estimated by Psychrometric charts in climatological stations However different models are designed and implemented based on a Data Mining techniques to estimate relative humidity The proposed approach uses linear regression data mining technique to estimate the relative humidity by 94 accuracy The results obtained are very promising and shown the usability of the Data Mining techniques for estimating important climatological parameters The second application focuses on predicting and discovering knowledge of groundwater behavior due to different supply and demand polices In the study area because of numerous factors including the intensive and unbalanced usage of water in different regions continued growth of urban population development of new agriculture lands rapid increases in industrial demands and also climate change and severe droughts happened in this decade the future availability of water especially groundwater resources are threatened in many regions While there are good historical database of different parameters in the basin unused Najafabad aquifer s data in the upstream of Zayandeh Rud river basin are used for this part of research After preparing a conceptual model and preprocessing data variety of models based on different scenarios are designed and implemented The best developed model predicts the groundwater surface changes approximately by 90 accuracy Moreover post processing of the results also leads to valuable knowledge about the groundwater behavior in different conditions The r

طاهري، حامد

استفاده از تكنيك هاي داده كاوي در ارزيابي آسيب پذيري منابع آب زيرزميني در راستاي مديريت جامع منابع آب

تخمين رطوبت نسبي , سياست عرضه و تقاضا