Document Type : Case Report
Authors
1 Graduate student GIS and Remote Sensing, University of Hormozgan, Qeshm, Iran
2 Assistant Professor, Department of Natural Resources, University of Hormozgan, Bandar Abbas, Iran
3 Associate Professor, Department of GIS and Rs, University of Tarbiat Modarres, Tehran, Iran
4 Master of water and wastewater, utility company of Qeshm, Qeshm, Iran
Abstract
Wastewater treatment technology in the cyclic nature of the process that takes a long time. But man tries to rush to their needs with experience and understanding of the natural processes of interaction, and using technology to build their Industrial development is authorized. Sewage treatment reed have been born from the vision of man's increasing need to water daily decreases the natural resources provide. Location of the place is one of the main uses of GIS and GIS Nowadays many ignorant people are familiar with the location. But what is remembered today as the location of the equivalent site selection, the order of analysis that will lead to the best place or places to be for a specific user. Therefore, using multiple and very diverse, the various layers of spatial data according to the criteria considered, together are usually the places where the best places are introduced, and the resulting method. This study is the first layer and standards were prepared from different sources of information, then based on the opinions of experts using analytic hierarchy process weight classes, each benchmark was performed. For network training algorithm of back-propagation and a sigmoidal activation function was used, the results indicate that it is a very high correlation coefficient of the neural network was able to identify suitable areas. Finally, about 104 km Qeshm Island area were suitable for the construction of wastewater treatment plant that requires ground visits is the expert.
Keywords
2-Dawson, C.W. Abrahart, R.J. Shamseldin, A.Y. and Wibly, R.L., (2006), ”Flood estimation ungauged sites using artificial neural networks,” Journal of Hydrology, 319: 391-409.
3-Ekmekcioglu, M. and Kaya, T. and Kahraman, C., (2010), “Fuzzy multicriteria disposal method and site selection for municipal solid waste ”, Waste Management journal. No.30, pp, 1729 – 1736
4- Fattahi, M. Toosi, S. and Zia Tabar Ahmadi, M.Kh., ( 2007), “Estimation of Neka river sediment load by artificial neural network,” 7th International Conference on River Engineering, Shahid Chamran University, Ahwaz, Iran, P 253-261
5-Guiqin, W. Li, Q., Guoxue, L., Lijun, C. 2009, Landfill site selection using spatial information technologies and AHP: A case study in Beijing, China, Journal of Environmental Management, pp.1-8
6-Ratnapriya, E. A. S. K. and De Silva, R.P., 2009, Location Optimization of Wastewater Treatment Plants using GIS: A Case Study in Upper Mahaweli Catchment Sri Lanka case, Applied Geoinformatics
for Society and Environment, Stuttgart University of Applied Sciences
7. Sener S. and Sener E. and Nas B. and Karaguzel R. ,2010, Combining AHP with GIS for landfill site selection: Acase study in the Lake Beysehir catchment area (Konya, Turkey), Journal of Waste Management, No 30, pp 2037-2046.
8.Zhao Y.W. and Qin Y. and Chen B. and Zhao X. and Li Y. and Yin X. A. and Chen G.Q.,2009,GISbased optimization for the locations of sewage treatment plants and sewage outfalls- A Case study of Nansha District in Guangzhou City, China, Communications in Nonlinear Science and Numerical Simulation, No 14, pp 1746- 1757.
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