Literature DB >> 30460653

A study of "cancer villages" in Jiangsu Province of China.

Yuanyuan Cheng1, C Paul Nathanail2.   

Abstract

China's economic boom has created many environmental and health challenges, including so-called cancer villages. This study, the first to use the lens of "cancer villages" at provincial level, examines the correlation between changes in Jiangsu cancer villages and economic and environmental quality indicators identified as being relevant, and hence to highlight environmental issues that should be mitigated to protect public health. Since 2001, 25 cancer villages have been reported in Jiangsu. The distribution pattern of these villages is of a cluster whose mean centre had moved from Suzhou city in 2001 to Taizhou in 2006 and 2011. By applying the buffer analysis tool of ArcGIS10.2.2 using 3-km and 5-km radius buffer, to examine the relationship between these cancer villages and the surrounding rivers, it was revealed that 76% of the villages fall within the 3-km buffer zone, and 88% are within the 5-km buffer zone. A fairly strong correlation between the cancer villages and annual GDP, as well as pollutant discharge, was found, with correlation coefficients of 0.94 for Jiangsu, 0.89 for Northern Jiangsu, 0.93 for Central Jiangsu, 0.83 for Southern Jiangsu and 0.64 for city level. The change of newly added cancer villages is significantly influenced by the discharge of sewage water (raising COD) and SO2, and the peak of newly added cancer villages, as well as discharge of COD and SO2 all occurred in 2005. For four cities, the total sewage water discharge and SO2 emissions are consistent with the order of the distribution density of the villages. The phenomenon of cancer villages in China will gradually be resolved as the government takes effective measures to tackle environmental issues coupled with people's increasing environmental and health awareness.

Entities:  

Keywords:  Annual GDP; ArcGIS; Environmental quality; Jiangsu Province; SO2 emissions; “Cancer village”

Mesh:

Year:  2018        PMID: 30460653     DOI: 10.1007/s11356-018-3758-4

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  20 in total

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