Environmental Science and Pollution Research

, Volume 25, Issue 10, pp 10115–10125 | Cite as

The spatio-temporal dynamic pattern of rural domestic solid waste discharge of China and its challenges

  • Guangjin Tian
  • Lingqiang Kong
  • Xiaojuan Liu
  • Wenping Yuan
Research Article


At present, construction of rural domestic waste treatment facilities is seriously lagging, and in many cases, treatment facilities do not yet exist in some villages of China. Serious rural waste pollution has not only impacted the quality of surface water and groundwater but also the atmosphere and the living environment of farmers of China. There are relatively few studies of rural domestic waste pollution, especially with respect to the spatio-temporal dynamic pattern of rural domestic waste discharge. Using survey data and income per capita, we calculated rural domestic waste discharge per capita per day. From this, we calculated provincial rural domestic waste discharge. According to our study, rural domestic waste discharge was 1.42 × 108 t/year in 2000. This number increased to 2.3 × 108 t/year in 2006 and to 2.47 × 108 t/year in 2010. Rural domestic waste increased dramatically while the actual rural population and the proportion of the rural population declined. When examining the eight regions, the rural domestic waste discharge of northeastern China, Qinghai-Tibet, middle China, and southwestern China had increased dramatically, while that of northern China, southern China, and eastern China increased relatively slowly. The economies of northern China, southern China, and eastern China are more developed; their rural domestic waste discharge has been high since 2000 and has continued to increase slowly. In northeastern China, Qinghai-Tibet, middle China, and southwestern China, rural domestic waste discharge was low in 2000; however, in the ten-year period from 2000 to 2010, their rural domestic waste discharge increased dramatically.


Rural China Rural domestic solid waste discharge Spatio-temporal dynamic pattern 


Funding information

This research was funded by the National Basic Research Program of China (Grant 2015CB953602), National Social Science Fund of China (Grant 17BGL256), and Crossing-discipline Open Grounds, School of Government, Beijing Normal University. The results, discussion, and conclusions of this paper do not necessarily represent the views of the funding agencies.


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of GovernmentBeijing Normal UniversityBeijingPeople’s Republic of China
  2. 2.State Key Laboratory of Water Environment Simulation, School of EnvironmentBeijing Normal UniversityBeijingPeople’s Republic of China
  3. 3.School of Atmospheric SciencesSun Yat-Sen UniversityGuangzhouChina

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