Volume 14, Issue 2 (9-2021)
ijhe 2021, 14(2): 319-334 |
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Mollaei A, Rafie R, Moeinaddini M, Khazaei S H. Modeling of leachate generation in Karaj landfill using HELP model. ijhe 2021; 14 (2) :319-334
URL: http://ijhe.tums.ac.ir/article-1-6554-en.html
URL: http://ijhe.tums.ac.ir/article-1-6554-en.html
1- Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, Karaj, Iran
2- Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, Karaj, Iran ,rrafiee@ut.ac.ir
2- Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, Karaj, Iran ,
Abstract: (1589 Views)
Background and Objective: The purpose of this study was to use the HELP model to estimate the leachate generation rate and its pattern in a landfill located in the semi-arid region of Iran.
Materials and Methods: The input data for the model were collected through fieldwork. To evaluate the accuracy of outputs, the actual amount of leachate production has been measured on-site for 10 months. In addition, sensitivity analysis was conducted to find out the most important parameters in leachate generation in the landfill.
Results: The results showed that the model was able to estimate the rate of leachate generation with an accuracy of 75.5% and the correlation between the model's estimated values and actual values was 60%. In addition. the sensitivity analysis showed that the most important factors affecting the leachate generation in the landfill were waste moisture content and rainfall, respectively.
Conclusion: The model showed satisfactory performance in the prediction of leachate generation in the arid area. The model showed that the moisture content of the waste significantly contributes to leachate generation in Karaj landfill and therefore, it is suggested to identify and implement procedures to reduce the moisture content of the waste at the source of generation.
Materials and Methods: The input data for the model were collected through fieldwork. To evaluate the accuracy of outputs, the actual amount of leachate production has been measured on-site for 10 months. In addition, sensitivity analysis was conducted to find out the most important parameters in leachate generation in the landfill.
Results: The results showed that the model was able to estimate the rate of leachate generation with an accuracy of 75.5% and the correlation between the model's estimated values and actual values was 60%. In addition. the sensitivity analysis showed that the most important factors affecting the leachate generation in the landfill were waste moisture content and rainfall, respectively.
Conclusion: The model showed satisfactory performance in the prediction of leachate generation in the arid area. The model showed that the moisture content of the waste significantly contributes to leachate generation in Karaj landfill and therefore, it is suggested to identify and implement procedures to reduce the moisture content of the waste at the source of generation.
Type of Study: Research |
Subject:
General
Received: 2021/07/30 | Accepted: 2021/11/7 | Published: 2021/12/26
Received: 2021/07/30 | Accepted: 2021/11/7 | Published: 2021/12/26
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