Literature DB >> 29198576

Influencing factors of domestic waste characteristics in rural areas of developing countries.

Zhiyong Han1, Yong Liu2, Min Zhong3, Guozhong Shi4, Qibin Li5, Dan Zeng6, Yu Zhang3, Yongqiang Fei3, Yanhua Xie3.   

Abstract

Waste management in rural areas has become a major challenge for governments of developing countries. The success of waste management decisions directly lies in the accuracy and reliability of the data on which choices are based; many factors influence these data. Here, we examined the factors influencing domestic waste in rural areas of developing countries (RADIC), using both field surveys and by reviewing previous literature. The social factors included population, education and culture. There was a positive linear relationship between waste generation amount and population size (R2 = 0.9405). Environmental education, training and demonstration projects played a positive role in improving people's awareness of the benefits of recycling and reducing waste. Traditional and national cultures, consumption and living habits contributed to variations in the generation and composition of domestic waste. Generally, practices related to conservation of and reverence for nature and green consumption encourage people to reduce, reuse and recycle waste in their daily life. Economic factors included household income and expenditure, energy and fuel structure, and types of industry that occurred in villages. A Kuznets inverted "U" curve relationship existed between domestic waste generation and people's income in rural areas of China. However, the waste generation rate had a linear relationship with the gross national income per capita in RADIC. The composition, bulk density and calorific value of domestic waste were variously affected by the energy and fuel structure and the types of industry that occurred. The natural factors included geography and climate (including rainfall, humidity, temperature and harvest seasons). The moisture content of waste was directly influenced by rainfall and humidity. Temperature affected waste characteristics by influencing residential heating modes. The waste characteristics were also influenced by the mixing of agricultural and aquacultural waste into domestic waste in the harvesting season. In different geographies, significant differences of domestic waste characteristics were observed as a result of comprehensive effects caused by multiple factors. Other factors included the administrative levels of communities and survey methods. The characteristics of domestic waste in towns or central villages were similar with those in cities, but were different from those in common villages (the smallest type of community). The domestic waste sampled in households indicated a lower rate of generation and lower ash content than when the waste was sampled at transfer stations or dumping sites. Based on the above analysis, the factors influencing domestic waste must be considered in order to optimize the design of waste management strategies in the RADIC. Furthermore, it is valuable and important to obtain more accurate data about waste characteristics.
Copyright © 2017. Published by Elsevier Ltd.

Entities:  

Keywords:  Developing countries; Domestic waste; Influencing factors; Rural areas; Waste characteristics

Mesh:

Year:  2017        PMID: 29198576     DOI: 10.1016/j.wasman.2017.11.039

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  10 in total

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Authors:  Aijun Liu; Maurice Osewe; Huixin Wang; Hang Xiong
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9.  Research on the Long-Term Governance Mechanism of Urban and Rural Living Environment Based on the Ordered Logistic-ISM Model in the Perspective of Sustainable Development.

Authors:  Yufeng Li; Ziwei Huang; Yonghang Li; Pu Xu
Journal:  Int J Environ Res Public Health       Date:  2022-10-07       Impact factor: 4.614

10.  A Study of the Relationships between the Characteristics of the Village Population Structure and Rural Residential Solid Waste Collection Services: Evidence from China.

Authors:  Sha Cao; Dingde Xu; Shaoquan Liu
Journal:  Int J Environ Res Public Health       Date:  2018-10-25       Impact factor: 3.390

  10 in total

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