Volume 36, Issue 2 (2021)
GeoRes 2021, 36(2): 217-232 |
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Article Type:
Subject:
History
Received: 2020/12/9 | Accepted: 2021/02/20 | Published: 2021/06/16
Received: 2020/12/9 | Accepted: 2021/02/20 | Published: 2021/06/16
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1- Department of GIS and RS, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran
2- Department of Geotechnics and Transportation, Faculty of Civil, water and environmental engineering, Shahid Beheshti University, Tehran, Iran
3- Department of Geospatial Information System, Faculty of Geodesy and Geomatic Engineering K. N. Toosi University of Technology, Tehran, Iran
4- Department of Natural Resources Engineering, Faculty of Natural Resources & Environment, Science & Research Branch, Islamic Azad University, Tehran, Iran
2- Department of Geotechnics and Transportation, Faculty of Civil, water and environmental engineering, Shahid Beheshti University, Tehran, Iran
3- Department of Geospatial Information System, Faculty of Geodesy and Geomatic Engineering K. N. Toosi University of Technology, Tehran, Iran
4- Department of Natural Resources Engineering, Faculty of Natural Resources & Environment, Science & Research Branch, Islamic Azad University, Tehran, Iran
Abstract (5242 Views)
Aims: The expansion of cities in recent years has led to an increase in uncontrolled construction around historic buildings and as a result has caused problems such as moisture leakage into the foundations of historic buildings. Isfahan province with more historic buildings It is the first city in 400 years that the sewerage network has been implemented. In recent years, some of these works have been exposed to moisture from old and dilapidated facilities. Therefore, overcoming this problem requires designing a spatial model based on smart technology in the operation of the municipal sewage network.
Methodology: This model was designed based on the combination of the Analytic Hierarchy Process (AHP) and Geographic Information System (GIS) based on the Getis ord GI* index. After combining the results of this combination with statistical analysis, using non-parametric Kendall and Spearman tests, wastewater accidents and their probability of occurrence in the context of historical regions were evaluated.
Findings: This model is capable of evaluating previous sewage accidents and predicting the possibility of future accidents in the historical regions of the cities. Such a model has an empirical nature and as a result, can be updated in the event of an accident in the future. The combination of the Analytical hierarchy process and the Getis ord Gi* index is a special feature of this research.
Conclusion: In the study area, soil type, inappropriate infrastructure, worn sewer pipes, small diameter pipes, and population density were identified as the most important causes of accidents in the sewerage network.
Methodology: This model was designed based on the combination of the Analytic Hierarchy Process (AHP) and Geographic Information System (GIS) based on the Getis ord GI* index. After combining the results of this combination with statistical analysis, using non-parametric Kendall and Spearman tests, wastewater accidents and their probability of occurrence in the context of historical regions were evaluated.
Findings: This model is capable of evaluating previous sewage accidents and predicting the possibility of future accidents in the historical regions of the cities. Such a model has an empirical nature and as a result, can be updated in the event of an accident in the future. The combination of the Analytical hierarchy process and the Getis ord Gi* index is a special feature of this research.
Conclusion: In the study area, soil type, inappropriate infrastructure, worn sewer pipes, small diameter pipes, and population density were identified as the most important causes of accidents in the sewerage network.
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