Application of hierarchy-fuzzy analysis models and artificial neural networks in locating urban waste burial (Case Study: Lali city)
الموضوعات :
Fatemeh Amiri
1
(Department of Petroleum, Masjed-Soleiman Branch, Islamic Azad University, Masjed-Soleiman, Iran)
Ladan Khedri Gharibvand
2
(Department of Remote Sensing, Dezful Branch, Islamic Azad University, Dezful, Iran)
Asghar Khedrifar
3
(Master's degree in remote sensing and GIS)
الکلمات المفتاحية: Artificial Neural Network, GIS, fuzzy hierarchical analysis, waste burial localization,
ملخص المقالة :
Background and objective:Today, waste burial is the most common method in many countries due to its lower cost and acceptance of a wider range of waste. In locating the waste landfill, various parameters such as the needs of urban communities, government, and environmental laws, and a large number of quantitative and qualitative criteria are evaluated. For this purpose, several multi-criteria decision-making methods are used in prioritizing suitable places.Materials and methods:This study aims to investigate the suitable places to bury urban wastes in Lali city using a hierarchical-fuzzy analysis process (FAHP) along with a spatial information system and artificial neural network. For this purpose, data such as slope, slope direction, geology, land use, fault, precipitation, soil science, topography, vegetation, communication lines, hydrographic networks, wind, underground water level, and population centers as Information layers were used to locate the waste burial. After standardizing and preparing the maps, the steps related to the weighting of the desired layers were carried out to achieve the weight and importance of each in the positioning process. Then, pairwise comparisons were made between the indicators based on fuzzy numbers and using the FAHP technique.Results and conclusion:Considering all the effective factors in locating and weighting each of the criteria and sub-criteria and combining the data with GIS and artificial neural networks, the proposed areas for landfilling according to the direction of the prevailing winds in the region, in the southeast part of the range Studies were considered that the city has the least development in this direction. Whereas, the location of the current waste burial site is located in an inappropriate place in the north of the city and a tourist area.
Abdoli, Mohammad Ali and Samiei Zafarqandi, Rudabeh (2018). Criteria for selecting waste burial place, 6th National Congress of Civil Engineering, Tehran.
Ataei, M., Kakaie, R., & Mirza, A. (2019). Estimation of the first roof weighting interval incorporating roof strata capability. Journal of Mining Engineering, 14(43), 64-49.
Bani Asadi, F., Safari, H., & Maqshoudi, A. A. (2013). The effect of saline water irrigation and putrescine application on the morphological characteristics of marigold medicinal plant, 12th National Conference on Irrigation and Evaporation Reduction, Kerman.
Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European journal of operational research, 95(3), 649-655. https://doi.org/10.1016/0377-2217(95)00300-2
Chang, N. B., Parvathinathan, G., & Breeden, J. B. (2008). Combining GIS with fuzzy multicriteria decision-making for landfill siting in a fast-growing urban region. Journal of environmental management, 87(1), 139-153. https://doi.org/10.1016/j.jenvman.2007.01.011
Charnpratheep, K., Zhou, Q., & Garner, B. (1997). Preliminary landfill site screening using fuzzy geographical information systems. Waste management & research, 15(2), 197-215. https://doi.org/10.1006/wmre.1996.0076
Ghane Ezabadi, N., Azhdar, S., & Jamali, A. A. (2021). Analysis of dust changes using satellite images in Giovanni NASA and Sentinel in Google Earth Engine in western Iran. Journal of Nature and Spatial Sciences (JONASS), 1(1), 17-26. https://doi.org/10.30495/jonass.2021.680327
He, S., Wang, D., Li, Y., Zhao, P., Lan, H., Chen, W., ... & Chen, X. (2021). Social-ecological system resilience of debris flow alluvial fans in the Awang basin, China. Journal of Environmental Management, 286, 112230. https://doi.org/10.1016/j.jenvman.2021.112230
He, S., Wang, D., Zhao, P., Li, Y., Lan, H., Chen, W., & Jamali, A. A. (2020). A review and prospects of debris flow waste-shoal land use in typical debris flow areas, China. Land Use Policy, 99, 105064. https://doi.org/10.1016/j.landusepol.2020.105064
Mahdipour, F. & Mesgari, M. S. (2016). A model for locating based on multi-criteria decision-making methods in GIS, Geomatics Conference.
Mahtabi Oghani, M., Najafi, A. & Younesi, H. E. (2012). comparison of two methods of Hierarchical Analysis Process and TOPSIS in locating municipal waste landfills (case study: selection of municipal waste landfills in Karaj), Journal of Health and Environment, No. 3 , pages 341-352
Masoumi, H., Jamali, A. A., & Khabazi, M. (2014). Investigation of role of slope, aspect and geological formations of landslide occurrence using statistical methods and GIS in some watersheds in Chahar Mahal and Bakhtiari Province. J. Appl. Environ. Biol. Sci, 4(9), 121-129.
Parsasyrat, L., & Jamali, A. A. (2015). The effects of impermeable surfaces on the flooding possibility in Zarrin-Shahr, Isfahan Municipal Watershed. J Appl Environ Biol Sci, 5(1), 28-38.
Qanbari, V., & Jamali, A. A. (2015). The relationship between elevation, soil properties and vegetation cover in the Shorb-Ol-Ain watershed of Yazd. J Biodivers Environ Sci (JBES), l.
Saaty, T. L. (1988). What is the analytic hierarchy process? (pp. 109-121). Springer Berlin Heidelberg.
Shah A., & Abbas A. (2015). collection of articles on clean earth day conference and waste management, urban solid waste and a look at its management in Tehran city, Tehran Municipal Materials Recycling and Conversion Organization.
Shahabi, H. (2018). The role of geomorphic factors in locating the landfill site of Saqqez urban waste using GIS and measurement technology from the master's thesis course, Tabriz University.
Yousefi, Z., (2011). colleagues, suitable location for sanitary landfill of urban waste using GIS, case study, Gonbad Kavus city, Environmental Health, Volume 22, Number 1.
