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Design of Water Conveyance Systems Route Applying Satellite Images, Geographic Information System(GIS) & Genetic Algorithm

Ghasemi, Abazar | 2009

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 39312 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Shamsai, Abulfazl
  7. Abstract:
  8. To reduce construction costs selecting the optimal route for water conveyance line entails ample observation and considering all effective parameters. Some part of Aidoghmoush dam project of water conveyance line located in Azerbijan the east has been investigated in this research. First, by investigating, effective factors in determining the optimal route have been identified and then categorized into two groups of quantitative criteria(technical-economical) and qualitative criteria(environmental). Quantitative objectives include: slope, transportation system, infrastructures, fault and soil type. Qualitative objectives include: environmental considerations, land use and land cover. Because of the significance of land use and land cover criteria and lack of up to date data, these data layers are extracted using IRS satellite images taken in 2007. Other criteria are prepared and updated using basic maps and satellite images. Determined factors are analyzed in separate models based on experts viewpoints and their weights are specified by applying the method of Analytic Hierarchical Process (AHP) in the relevant groups. After forming, processing and synthesizing quantitative and qualitative factors in a geographic information system(GIS), spatial modeling of the zone has been done. Afterwards, by applying the method of optimization of Genetic Algorithm, the optimizing procedure of routing is investigated by weighted method and multi objective method. The results of the study have revealed that for a complicated geographical questions which has multiple possible solutions, applying multi objective genetic algorithm helps finding a trade off curve among diverse and inconsistent objectives for descion makers in less time with precision. The results also prove higher efficiency of genetic algorithm in solving complicated questions, such as routing on the raster surface. Investigating some routes have revealed that by considering only 10% of environmental objectives in the optimization model, the damage to the environment decreases up to 60%
  9. Keywords:
  10. Routing ; Multiobjective Optimization ; Geographic Information System (GIS) ; Satellite Imagery ; Analytical Hierarchy Process (AHP) ; Genetic Algorithm ; Water Transfer

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