Changes in Environmental Profiles of Cancer Villages: A Case Study of Aizheng Cun in China

Literature Cited

• Abdullah, A., A. Masrur, M. Adnan, M. Baky, Q. K. Hassan, and A. Dewan. 2019. Spatio-temporal patterns of land use/land cover change in the heterogeneous coastal region of Bangladesh between 1990 and 2017. Remote Sensing 11 (7):790. doi: 10.3390/rs11070790.
   Web of Science ®Google Scholar
• Agterberg, F. P. 1964. Methods of trend surface analysis. Quarterly of the Colorado School of Mines 59:111–30.
   Google Scholar
• Alawadi, F. 2010. Detection of surface algal blooms using the newly developed algorithm surface algal bloom index (SABI). Paper presented at the meeting on Remote Sensing of the Ocean, Sea Ice, and Large Water Regions, Toulouse, France, October.
   Google Scholar
• Anderson, J., E. Hardy, J. Roach, and R. Witmer. 1976. A land use and land cover classification system for use with remote sensor data. Geological Survey Professional Paper 964, U.S. Government Printing Office, Washington, DC.
   Google Scholar
• Arora, M. 2017. Arsenic-polluted water linked to cancer in India. Accessed December 13, 2018. https://www.cnn.com/2017/04/28/health/arsenic-water-pollution-cancer-india/index.html.
   Google Scholar
• Asrar, G., M. Fuchs, E. T. Kanemasu, and J. L. Hatfield. 1984. Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat. Agronomy Journal 76 (2):300–306.
   Web of Science ®Google Scholar
• Baba, S. H., M. H. Wani, B. A. Zargar, S. A. Wani, and S. S. Kubrevi. 2012. Pesticide delivery system in apple growing belt of Kashmir Valley. Agricultural Economics Research Review 25:435–44.
   Google Scholar
• Chen, W., R. Zheng, P. D. Baade, S. Zhang, H. Zeng, F. Bray, A. Jemal, X. Q. Yu, and J. He. 2016. Cancer statistics in China, 2015. CA: A Cancer Journal for Clinicians 66 (2):115–32. doi: 10.3322/caac.21338.
   PubMed Web of Science ®Google Scholar
• China Council for International Cooperation on Environment and Development. 2013. MEP releases the 12th five-year plan for prevention and control of environmental risk of chemicals. Accessed December 13, 2018. http://www.cciced.net/cciceden/NEWSCENTER/LatestEnvironmentalandDevelopmentNews/201302/t20130225_82442.html.
   Google Scholar
• China Water Risk. 2017. 2016 State of environment report review. Accessed December 13, 2018. https://www.chinawaterrisk.org/resources/analysis-reviews/2016-state-of-environment-report-review/.
   Google Scholar
• Chu, H., C. Liu, and C. Wang. 2013. Identifying the relationships between water quality and land cover changes in the Tseng-wen Reservoir watershed of Taiwan. International Journal of Environmental Research and Public Health 10 (2):478–89. doi: 10.3390/ijerph10020478.
   PubMed Web of Science ®Google Scholar
• Clark Labs. 2018. Land Change Modeler in TerrSet. Accessed December 13, 2018. https://clarklabs.org/terrset/land-change-modeler/.
   Google Scholar
• Cox, S. 2017. Chinese cancer villages show the high human cost of industrialization. Accessed February 1, 2019. https://allthatsinteresting.com/chinese-cancer-villages.
   Google Scholar
• Deng, F. 邓. 2009. Zhong guo bai chu zhi ai wei di中国百处致癌危地 [China’s 100 cancer causing places]. Fenghuang Weekly 凤凰周刊, April.
   Google Scholar
• Duh, J., V. Shandas, H. Chang, and L. George. 2008. Rates of urbanisation and the resiliency of air and water quality. The Science of the Total Environment 400 (1–3):238–56. doi: 10.1016/j.scitotenv.2008.05.002.
   PubMed Web of Science ®Google Scholar
• Ebenstein, A. 2012. The consequences of industrialization: Evidence from water pollution and digestive cancers in China. Review of Economics & Statistics 94 (1):186–201.
   Web of Science ®Google Scholar
• Environmental watchdog admits to “cancer village” phenomenon. 2013. South China Morning Post, February 21. Accessed December 13, 2018. https://www.scmp.com/news/china/article/1155528/environmental-watchdog-admits-cancer-village-phenomenon.
   Google Scholar
• Foody, G. M. 2002. Status of land cover classification accuracy assessment. Remote Sensing of Environment 80 (1):185–201.
   Web of Science ®Google Scholar
• Gao, H. 2013. Chinese government admits existence of cancer villages. The Lancet Oncology 14 (4):284. https://doi.org/10.1016/S1470-2045(13)70065-2
   PubMed Web of Science ®Google Scholar
• Garcia, R. A., P. Fearns, J. K. Keesing, and D. Liu. 2013. Quantification of floating macroalgae blooms using the scaled algae index. Journal of Geophysical Research: Oceans 118 (1):26–42. doi: 10.1029/2012JC008292.
   Web of Science ®Google Scholar
• Geographic Information Technology Training Alliance. 2012. Trend surface analysis. Accessed December 13, 2018. http://www.gitta.info/SpatChangeAna/en/html/spatial_dist_an_TrendSurf.html.
   Google Scholar
• Ghaffar, M., J. Li, L. Zhang, S. Khodahemmati, M. Wang, Y. Wang, L. Zhao, R. Jia, S. Chen, and Y. Zeng. 2018. Water carcinogenicity and prevalence of HPV infection in esophageal cancer patients in Huaihe River Basin, China. Gastroenterology Research and Practice 2018. doi: 10.1155/2018/2028986.
   PubMed Web of Science ®Google Scholar
• Gong, S., and T. Zhang. 2013. Temporal–spatial distribution changes of cancer villages in China. China Population: Resources and Environment 23 (9):156–64.
   Google Scholar
• Google Earth. 2018. pro. V 7.3.1. Google. Mountain View, CA.
   Google Scholar
• The Government of Shenqiu County. n.d. Shen qiu gai kuang沈丘概况 [The introduction of Shenqiu]. Accessed December 13, 2018. http://www.shenqiu.gov.cn/zjsq.asp.
   Google Scholar
• Granham-Harrison, E., and V. Liu. 2008. China “cancer village” pays ultimate price for growth. Accessed December 13, 2018. https://www.reuters.com/article/us-china-reforms-cancer/china-cancer-village-pays-ultimate-price-for-growth-idUSTRE4BA0KZ20081211.
   Google Scholar
• Guo, J. 2007. Bing dian: you yi zong li run miao shi sheng ming【冰点】：有一种利润蔑视生命 [Ice point: There is a profit that despise lives]. China Youth Daily, September 26. Accessed December 13, 2018. http://zqb.cyol.com/content/2007-09/26/content_1908671.htm.
   Google Scholar
• Huai he shui shang: yan he qu yu duo ai zheng cun shen qiu xian yi nian si wang liang qian ren淮河水殇:沿河区域多癌症村 沈丘县一年死亡两千人 [Huai River water war: Many cancer villages along the river two thousand deaths in one year in Shenqiu County]. Science and Technology Daily. Accessed December 4, 2020. http://css.stdaily.com/stdaily/content/2013-06/28/content_618602.htm
   Google Scholar
• Huang, J., J. Zhan, H. Yan, F. Wu, and X. Deng. 2013. Evaluation of the impacts of land use on water quality: A case study in the Chaohu Lake Basin. The Scientific World Journal 2013:1–7. doi: 10.1155%2F2013%2F32918.
   Google Scholar
• Hussein, K., K. Alkaabi, D. Ghebreyesus, M. U. Liaqat, and H. O. Sharif. 2020. Land use/land cover change along the eastern coast of the UAE and its impact on flooding risk. Geomatics, Natural Hazards and Risk 11 (1):112–30.
   Web of Science ®Google Scholar
• Kinthada, N. R., M. K. Gurram, A. Eadara, and V. R. Velagala. 2014. Land use/land cover and NDVI analysis for monitoring the health of micro-watersheds of Sarada river basin, Visakhapatnam District, India. Journal of Geology & Geosciences 3 (2):1000146. doi: 10.4172/2329-6755.1000146.
   Google Scholar
• Krishnatreya, M. 2018. Cancer trends and burden in India. The Lancet Oncology 19 (12):e660. doi: 10.1016/S1470-2045(18)30708-3.
   PubMedGoogle Scholar
• Lein, J. K. 2012. Environmental sensing: Analytical techniques for earth observation. New York: Springer.
   Google Scholar
• Lein, J. K., and X. Hong. 2017. Fingerprinting anthropogenic “waste” heat across an urban landscape using earth observational satellite data. Advances in Environment and Pollution Research:101011. doi: 10.29199/2637-7063/ESAR-101011.
   Google Scholar
• Lin, W., Y. Lin, Y. Wang, T. Chang, and L. Chiang. 2014. Assessing and mapping spatial associations among oral cancer mortality rates, concentrations of heavy metals in soil, and land use types based on multiple scale data. International Journal of Environmental Research and Public Health 11 (2):2148–68. doi: 10.3390/ijerph110202148.
   PubMed Web of Science ®Google Scholar
• Liu, L. 2010. Cancer villages: Made in China. Environment Magazine 52 (2):9–21.
   Google Scholar
• Lora-Wainwright, A. 2010. An anthropology of cancer villages: Villages’ perspectives and the politics of responsibility. Journal of Contemporary China 19 (63):79–99.
   Web of Science ®Google Scholar
• Maxwell, S., J. Meliker, and P. Goovaerts. 2010. Use of land surface remotely sensed satellite and airborne data for environmental exposure assessment in cancer research. Journal of Exposure Science & Environmental Epidemiology 20 (2):176–85. doi: 10.1038/jes.2009.7.
   PubMed Web of Science ®Google Scholar
• McBeath, J. H., J. McBeath, and Q. Tian. 2014. Environmental pollution, cancer villages and the state’s response. Paper presented at the conference of the American Association for Chinese Studies. Accessed August 8, 2020. http://aacs.ccny.cuny.edu/2014conference/Papers/Jenifer%20McBeath.pdf.
   Google Scholar
• McFeeters, S. 1996. The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. International Journal of Remote Sensing 17 (7):1425–32.
   Web of Science ®Google Scholar
• McFeeters, S. 2013. Using the Normalized Difference Water Index (NDWI) within a geographic information system to detect swimming pools for mosquito abatement: A practical approach. Remote Sensing 5 (7):3544–61. doi: 10.3390/rs5073544.
   Web of Science ®Google Scholar
• Mokondoko, P., R. Manson, and O. Perez-Maqueo. 2016. Assessing the service of water quality regulation by quantifying the effects of land use on water quality and public health in Central Veracruz, Mexico. Ecosystem Services 22:161–73. doi: 10.1016/j.ecoser.2016.09.001.
   Web of Science ®Google Scholar
• Mudur, G. 2005. India has some of the highest cancer rates in the world. BMJ (Clinical Research ed.) 330 (7485):215. doi: 10.1136/bmj.330.7485.215-c.
   PubMedGoogle Scholar
• Mwanjalolo, M. G. J., B. Bernard, M. I. Paul, W. Joshua, K. Sophie, N. Cotilda, N. Bob, D. John, S. Edward, and N. Barbara. 2018. Assessing the extent of historical, current, and future land use systems in Uganda. Land 7 (4):132. doi: 10.3390/land7040132.
   Web of Science ®Google Scholar
• NASA Earth Observatory. n.d. Measuring vegetation (NDVI& EVI). Accessed December 13, 2018. https://earthobservatory.nasa.gov/Features/MeasuringVegetation/measuring_vegetation_2.php.
   Google Scholar
• National Bureau of Statistics of China. 2010. China statistical yearbook. Beijing: China Statistics Press.
   Google Scholar
• National Bureau of Statistics of China. n.d. China population: Henan: Zhoukou: Shenqiu. Accessed August 8, 2020. https://www.ceicdata.com/en/china/population-county-level-region/population-henan-zhoukou-shenqiu.
   Google Scholar
• Pettorelli, N., J. O. Vik, A. Mysterud, J. Gaillard, C. J. Tucker, and N. C. Stenseth. 2005. Using the satellite-derived NDVI to assess ecological responses to environmental change. Trends in Ecology & Evolution 20 (9):503–10. doi: 10.1016/j.tree.2005.05.011.
   PubMed Web of Science ®Google Scholar
• Qi, X., W. Ji, H. Ren, Y. Guo, M. Zhou, G. Yang, and D. Zhuang. 2012. Model analysis of upper digestive tract cancer and environmental pollution in Huaihe River watershed. Geo-Information Science 14 (4):432–41.
   Google Scholar
• Rafiq, M., A. K. Mishra, and M. S. Meer. 2018. On land-use and land-cover changes over Lidder Valley in changing environment. Annals of GIS 24 (4):275–85.
   Web of Science ®Google Scholar
• Ren, H., X. Wan, F. Yang, X. Shi, J. Xu, D. Zhuang, and G. Yang. 2014. Association between changing mortality of digestive tract cancers and water pollution: A case study in the Huai River Basin, China. International Journal of Environmental Research and Public Health 12 (1):214–26. doi: 10.3390/ijerph120100214. [
   PubMed Web of Science ®Google Scholar
• Richards, J. A., and X. Jia. 2006. Remote sensing digital image analysis: An introduction, 4th ed. Berlin: Springer Verlag.
   Google Scholar
• Rokni, K., A. Ahmad, A. Selamat, and S. Hazini. 2014. Water feature extraction and change detection using multitemporal Landsat imagery. Remote Sensing 6 (5):4173–89.
   Web of Science ®Google Scholar
• Rouse, J. W., R. H. Haas, J. A. Schell, and D. W. Deng. 1974. Monitoring vegetation systems in the Great Plains with ERTS. Paper presented at the NASA Goddard Space Flight Center 3d ERTS-1 Symposium, Washington, DC, December 10-14.
   Google Scholar
• Sellers, P. J., J. A. Berry, G. J. Collatz, C. B. Field, and F. G. Hall. 1992. Canopy reflectance, photosynthesis, and transpiration: III. A reanalysis using improved leaf models and a new canopy integration scheme. Remote Sensing of Environment 42 (3):187–216. doi: 10.1016/0034-4257(92)90102-P.
   Web of Science ®Google Scholar
• Shagun, S. 2016. Development and disease: A study of cancer villages in China. Politikon: IAPSS Journal of Political Science 29:189–200.
   Google Scholar
• Shen, L., and C. Li. 2010. Water body extraction from Landsat ETM + imagery using adaboost algorithm. Paper presented at the 18th International Conference on Geoinformatics, Beijing, China, June 18–20.
   Google Scholar
• Sohu Health. 2013. He nan ai zheng cun 15 nian yin ai zheng si ren shu shi ren di xia shui zai cao wu ran 河南癌症村15年因癌症死数十人 地下水再遭污染 [Dozens of people have died in 15 years in Henan Cancer Villages, groundwater is contaminated again]. Accessed December 13, 2018. http://health.sohu.com/20130328/n370723694.shtml.
   Google Scholar
• Ullah, S., A. A. Tahir, T. A. Akbar, Q. K. Hassan, A. Dewan, A. J. Khan, and M. Khan. 2019. Remote sensing-based quantification of the relationships between land use land cover changes and surface temperature over the lower Himalayan region. Sustainability 11 (19):5492. doi: 10.3390/su11195492.
   Web of Science ®Google Scholar
• U.S. Geological Survey. 2017. Department of Interior. Landsat-5, Scene ID: LT51230371987269BJC01, Landsat-8, Scene ID: LC81230372017255LGN00. Accessed November 1, 2017. https://earthexplorer.usgs.gov/.
   Google Scholar
• Wang, J. 2004. Riverside villages count cancer cases. China Daily, October 19. Accessed February 11, 2019. https://www.chinadaily.com.cn/english/doc/2004-10/19/content_383720.htm.
   Google Scholar
• Wilson, E. H., and S. A. Sader. 2002. Detection of forest harvest type using multiple dates of Landsat TM imagery. Remote Sensing of Environment 80 (3):385–96.
   Web of Science ®Google Scholar
• The World Bank. 2007. Cost of pollution in China. Rural Development, Natural Resources and Environmental and Social Development Unit, East Asia and Pacific Region, Washington, DC.
   Google Scholar
• Wu, C., C. Maurer, Y. Wang, S. Xue, and D. L. Davis. 1999. Water pollution and human health in China. Environmental Health Perspectives 107 (4):251–56. doi: 10.1289/ehp.99107251.
   PubMed Web of Science ®Google Scholar
• Wu, J., J. Cao, S. Shi, X. Huang, and Z. Lu. 2015. Spatio-temporal variability of habitat quality in Beijing–Tianjin–Hebei area based on land use change. Ying Yong Sheng Tai Xue Bao: The Journal of Applied Ecology 26 (11):3457–66.
   PubMedGoogle Scholar
• Xu, H. 2006. Modification of Normalised Difference Water Index (NDWI) to enhance open water features in remotely sensed imagery. International Journal of Remote Sensing 27 (14):3025–33.
   Web of Science ®Google Scholar
• Yang, G., and D. Zhuang, eds. 2014. Research on the correlation between cancer and the Huai River water environment. In Atlas of the Huai River Basin water environment: Digestive cancer mortality, 1–16. Dordrecht, The Netherlands: Springer.
   Google Scholar
• Yang, T. Forthcoming. China’s cancer villages. In The Cambridge handbook on environmental justice and sustainable development, ed. S. Atapattu, C. G. Gonzalez, and S. Seck. Santa Clara, CA: Santa Clara University.
   Google Scholar
• Zhang, P., J. Lee, G. Kang, Y. Li, D. Yang, B. Pang, and Y. Zhang. 2018. Disparity of nitrate and nitrite in vivo in cancer villages as compared to other areas in Huai River Basin, China. The Science of the Total Environment 612:966–74. doi: 10.1016/j.scitotenv.2017.08.245.
   PubMed Web of Science ®Google Scholar
• Zhang, Y., X. Liu, B. Qin, K. Shi, J. Deng, and Y. Zhou. 2016. Aquatic vegetation in response to increased eutrophication and degraded light climate in Eastern Lake Taihu: Implications for lake ecological restoration. Scientific Reports 6. doi: 10.1038/srep23867.
   Web of Science ®Google Scholar
• Zhao, C., A. E. Gebeyehu, Y. Zhou, and S. Pingale. 2018. Overview of prominent problems in Huai River Basin, China. International Journal of Hydrology 2 (1):9–12.
   Google Scholar
• Zhao, D. 2003. Application of NDVI to detecting algal bloom in the Bohai Sea of China from AVHRR. In Ocean Remote Sensing and Applications, ed. R. Frouin, Y. Yuan, and H. Kawamura, vol. 4892, 241–46. Hangzhou, China: SPIE. doi: 10.1117/12.466132.
   Google Scholar