[PDF][PDF] Factors affecting the rural domestic waste generation
AR Darban Astane, M Hajilo - Global Journal of Environmental Science …, 2017 - gjesm.net
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 …
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 …
Factors affecting the rural domestic waste generation
M Hajilo, ARD Astane - Global Journal of Environmental Science and …, 2017 - agris.fao.org
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 …
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 …
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