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Showing 2 results for Household Waste

Samira Bagheri, Farhad Nejadkoorki, Seyed Alireza Afshani, Vahid Mousavi,
Volume 15, Issue 4 (3-2023)
Abstract

Background and Objective:  One of the important environmental problems is the mass production of urban waste, which has increased per capita household waste production with the ever-increasing population growth; Therefore, nowadays, the use of intelligent systems has been expanded as a new solution in the analysis of environmental issues. Estimation of household waste through modeling, including the use of the fuzzy-neural network, leads to its better management. Therefore, the current research was conducted to investigate the socioeconomic factors on household waste production using the Adaptive Neural Fuzzy Inference System (ANFIS) in Tabriz city.
Materials and Method:   In this research, by using the adaptive neuro-fuzzy inference system (AFNIS) with the Fuzzy C-Means (FCM) method, domestic waste generation in Tabriz city has been predicted. According to the nature of the subject and the investigated indicators, the information collected in descriptive research was collected from the students of schools in Tabriz using a questionnaire. Also, socio-economic factors were statistically analyzed using SPSS version 26 software, and parameters affecting domestic waste production in Tabriz city were used for modeling in MATLAB software.
Results: The results of the study showed that the adaptive neuro-fuzzy inference system with the Fuzzy C-Means method has acceptable performance for domestic waste production in Tabriz city.
Conclusion:  According to the results obtained based on the statistical index, the forecasted model in domestic waste production in the Fuzzy C-Means method with the highest R (0.75) and the lowest error has an acceptable performance model in predicting the production of dry domestic waste in the studied area.

Razieh Rahimi, Gholamhossein Abdollahzadeh, Mohammad Sharif Sharifzadeh,
Volume 16, Issue 3 (12-2023)
Abstract

Background and Objective: many countries have currently put waste management as a priority on the agenda and are seeking to enhance its effectiveness by encouraging public participation. Therefore, this study aimed to evaluate the willingness of rural residents to participate in waste management processes in Jajarm County, North Khorasan Province.
Materials and Methods: The survey research method was used. The target population consisted of 4031 households from 37 villages in Jajarm County. The dependent variable of willingness to participate in waste management was measured with 5 variables, including willingness to pay for waste disposal, willingness to use special containers, eagerness to separate waste at source, eagerness to deliver separated waste, and tendency to cooperate with rural development. The impact of independent variables on the five dependent variables was evaluated by running five logit functions.
Results: The results of the models showed that age, education, regular waste collection by village councils, cooperation with rural cooperatives and organizations, payment for waste collection, familiarity with waste management methods, health effects of waste, familiarity with the harmful effects of waste, communication with extension agents and rural health liaisons, participation in waste management training classes, and satisfaction with the village council have a positive and significant (p0.05) impact on the willingness to participate in waste management.
Conclusion: Providing educational programs and introducing the consequences of non-separation of waste on human health and the environment is effective in attracting the participation of people in waste management plans and should be prioritized in waste management programs.
 


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