Document Type : ORIGINAL RESEARCH ARTICLE
Department of Human Geography, Faculty of Geography, University of Tehran, Tehran, Iran
The current study was carried out to evaluate the quantity and quality of rural domestic waste generation and to identify the factors affecting it in rural areas of Khodabandeh county in Zanjan Province, Iran. Waste samplings consisted of 318 rural households in 11 villages. In order to evaluate the quality and quantity of the rural domestic waste, waste production was classified into 12 groups and 2 main groups of organic waste and solid waste. Moreover, kriging interpolation technique in ARC-GIS software was used to evaluate the spatial distribution of the generated domestic waste and ultimately multiple regression analysis was used to evaluate the factors affecting the generation of domestic waste. The results of this study showed that the average waste generated by each person was 0.588 kilograms per day. with the share of organic waste generated by each person being 0.409 kilograms per day and the share of solid waste generated by each person being 0.179 kilograms per day. The results from spatial distribution of waste generation showed a certain pattern in three groups and a higher rate of waste generation in the northern and northwestern parts, especially in the subdistrict. The results of multiple regression analysis showed that the households’ income, assets, age, and personal attitude are respectively the most important variables affecting waste generation. The housholds’ attitude and indigenous knowledge on efficient use of materials are also the key factors which can help reducing waste generation.
- The average generated waste was equal to 0.588 kg where the share of organic waste was 0.409 kg and the share of solid waste was as 0.179 kg
- The variable of income, age, property and personal attitude were the most important variables that affecting waste generation
- Indigenous knowledge on optimum use of materials is one of the key factors that can be helped in reducing waste generation.
- Khodabandeh County
- Kriging interpolation
- Multiple regression analysis
- Rural household
- Waste generation
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