A survey of knowledge, attitude, and performance of Kerman residents on segregation and recycling of household solid wastes during COVID-19 period
Journal Title: Environmental Health Engineering and Management Journal - Year 2023, Vol 10, Issue 4
Abstract
Background: Awareness, knowledge, and attitude towards waste management, environmental factors of waste disposal sites and citizens’ as well as waste generators’ behaviors should be considered for implementing a waste segregation plan at the source. Methods: The statistical population of this cross-sectional study includes 150 000 households living in Kerman. The sample size is calculated as 444 individuals using a stratified sampling method considering a 15% withdrawal probability. The correlation between Kerman citizens’ demographic data (age, gender, mean income, and household head’s educational level) and behavioral patterns (knowledge and awareness, attitude and behavior) regarding waste management and environmental factors of waste disposal sites was evaluated using SPSS software. Results: Examining the variables indicates that attitude, environmental factors, behavior, awareness, and knowledge have the highest mean and standard deviation, respectively. The highest mean score of awareness and knowledge was observed among individuals who earned 40 million IRR and higher income (2.55 ± 0.24) and those who had a PhD degree (2.63 ± 0.27). The results show that one unit increase in the score of awareness and knowledge, attitude and environmental factors could increase the mean behavior score. Conclusion: Teaching the households waste-related environmental issues and how to properly separate recyclable waste as well as providing correct information regarding the current (COVID-19 period) and future plans and policies of the waste management organization, and developing suitable motivational mechanisms could improve the performance level of a society.
Authors and Affiliations
Hoda Amiri, Majid Hashemi, Moghadameh Mirzaei, Abedin Iranpour, Ramin Moradi
Modeling the concentration of suspended particles by fuzzy inference system (FIS) and adaptive neuro-fuzzy inference system (ANFIS) techniques: A case study in the metro stations
Background: Today, the usage of artificial intelligence systems and computational intelligence is increasing. This study aimed to determine the fuzzy system algorithms to model and predict the amount of air pollution b...
Photocatalytic removal of Malachite green dye from aqueous solutions by nano-composites containing titanium dioxide: A systematic review
Background: Malachite green (MG) is widely used as a fungicide, Bactericide parasiticide in the aquaculture industry, as a food additive, medical disinfectant, and also, as a dye for materials such as silk, leather, pape...
Evaluation of the efficiency of electrocoagulation process in removing cyanide, nitrate, turbidity, and chemical oxygen demand from landfill leachate
Background: Leachate contains toxic and non-biodegradable substances that are not easily treated by conventional treatment methods. This study investigated the effect of pH, current density, and reaction time parameter...
Evaluation and spatial noise mapping using geographical information system (GIS): A case study in Zaria city, Kaduna State, Nigeria
Background: Spatial noise level mapping using a geographical information system (GIS) is essential for the visual colour representation of noise analysis, which is a necessity for strategic planning and mitigating meas...
Wastewater reuse in agriculture: A review of soil and crops parasitic contamination, associated health risks and mitigation approach
Background: Wastewater reuse in agriculture can potentially result in adverse health implications including parasitic diseases spread. Trichuris, Ascaris, and Giardia are major pathogenic parasites of concern associate...