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Volume 10, Issue 2 (Semi-Annual 2025)
CIAUJ 2025, 10(2): 27-46 |
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Soltanvash N, Zamani P, Zandsalimi M, Mirgholami M. (2025). Evaluating the impact of introducing landfill site with artificial intelligence algorithms, compatible with environmental and social issues in Rasht city. CIAUJ. 10(2), 27-46. doi:10.61882/ciauj.10.2.570
URL: http://ciauj-tabriziau.ir/article-1-570-en.html
URL: http://ciauj-tabriziau.ir/article-1-570-en.html
1- Department of Urban Design, Faculty of Architecture and Urban Planning, Tabriz Islamic Art University, Tabriz, Iran
2- Department of Urban Design, Faculty of Architecture and Urban Planning, Tabriz Islamic Art University, Tabriz, Iran ,pa.zamani@tabriziau.ac.ir
3- Department of Urban Planning and Design, Faculty of Art and Architecture, University of Kurdistan, Sanandaj, Iran
2- Department of Urban Design, Faculty of Architecture and Urban Planning, Tabriz Islamic Art University, Tabriz, Iran ,
3- Department of Urban Planning and Design, Faculty of Art and Architecture, University of Kurdistan, Sanandaj, Iran
Abstract: (819 Views)
The role of improving the quality of environmental management is considered one of the most important and strategic matters of urban management today. In recent years, the population growth and the change in the life patterns of human societies have caused many crises, including the burial and waste disposal system. This problem is very worrying in the northern cities of Iran due to the lack of suitable land and the high level of underground water. Therefore, this research aims to locate the best waste disposal sites. This site selection is based on population estimates up to the year 2050, and ultimately, in order to recommend the best landfill site with a horizon of 2050, the sites were evaluated using the RAIM matrix. Therefore, with the method of spatial analysis and evaluation of the outcome, in the recent study, 17 spatial criteria were selected, which were inves-tigated with the methods of artificial intelligence and vector machine to investigate the suitability of land for waste burial. The research results of the comparison of vector machine artificial intelligence showed that despite the use of fewer criteria, artificial intelligence has a higher ability to identify the talent of the region with an accuracy coefficient of ROC of 87.65% compared to the existing sites and threshold criteria of the country, the ability to rely on the results has it. The result of the study showed that 3% of the area will be able to create a landfill from 50 to 75%; 0.01 percent, equivalent to 22 hectares, has the potential of 75 to 85% of development. With these interpretations, the limits of Rasht city based on the artificial neural network model are very high and any attempt to create a burial site requires an evaluation of the consequences. Locations showed that 22 hectares with high capacity are located in the Zarbal factory and west of the Lakan forest. which is based on the results of evaluating the result of the RAIM matrix; The Lakan site is the best option for creating a new waste burial site. The criteria related to air quality, surface and underground water quality, and tourism contain the most threats. Also, compared to the continuation of the Caravan site, which has a -477 score, it is the worst possible scenario for the region.
Type of Study: Original Article |
Subject:
Conceptualization of theorizing in Islamic architecture and urban ism
Received: 2024/06/18 | Accepted: 2024/07/25 | ePublished: 2025/12/30
Received: 2024/06/18 | Accepted: 2024/07/25 | ePublished: 2025/12/30
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