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Environmental Science and Pollution Research

, Volume 26, Issue 10, pp 10083–10096 | Cite as

Estimating the spatial distribution of environmental suitability for female lung cancer mortality in China based on a novel statistical method

  • Xiao Han
  • Yanlong Guo
  • Hong GaoEmail author
  • Jianmin Ma
  • Manjie Sang
  • Sheng Zhou
  • Tao Huang
  • Xiaoxuan Mao
Research Article
  • 203 Downloads

Abstract

Lung cancer as one of the major causes of cancer mortality has been demonstrated to be closely related to the ambient atmospheric environment, but little has been done in the synthetic evaluation of the linkage between cancer mortality and combined impact of ambient air pollution and meteorological conditions. The present study determined the environmental suitability for female lung cancer mortality associated with air contaminants and meteorological variables. A novel fuzzy matter–element method was applied to identify the spatial distribution and regions for the environmental suitability for the female lung cancer mortality across China in 2013. The membership functions between the cancer mortality and 6 environmental factors, including PM2.5, NO2, SO2, PM10, the annual mean wind speed, and mean temperature, were generated and the weights of each of the environmental factors were established by the maximum entropy (MaxEnt) model. We categorized the environmental suitability combined with GIS spatial analysis into three zones, including low-suitable, medium-suitable, and high-suitable region where the cancer mortality ranging from low to high rate was identified. These three zones were quantified by the MaxEnt model taking different air pollutants and meteorological variables into consideration. We identified that NO2 was a most significant factor among the 6 environmental factors with the weight of 24.88%, followed by the annual mean wind speed, SO2, and PM2.5. The high-suitable area, mainly in the North China Plain which is a most heavily contaminated region by air pollution in China, covers 1.6195 million square kilometers, accounting for 17.85% of the total area investigated in this study. Identification of the impact of various environmental factors on cancer mortality in the different suitable area provides a scientific basis for the environmental management, risk assessment, and lung cancer control.

Keywords

Female Lung cancer mortality Spatial distribution China Fuzzy mathematics 

Notes

Funding information

This work was supported by the National Key Technology Research and Development Program of the Ministry of Science and Technology of China (grant number 2017YFC0212002) and the National Science Foundation of China (grant numbers 41671460 and 41701582).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

References

  1. Abbey DE, Nishino N, Mcdonnell WF, Burchette RJ, Knutsen SF, Lawrence BW, Yang JX (1999) Long-term inhalable particles and other air pollutants related to mortality in nonsmokers. Am J Respir Crit Care Med 159(2):373–382CrossRefGoogle Scholar
  2. Bull GM (1973) Meteorological correlates with myocardial and cerebral infarction and respiratory disease. Br J Prev Soc Med 27(2):108–113Google Scholar
  3. Carder M, McNamee R, Beverland I, Elton R, Van Tongeren M, Cohen GR, Boyd J, MacNee W, Agius RM (2008) Interacting effects of particulate pollution and cold temperature on cardiorespiratory mortality in Scotland. Occup Environ Med 65(3):197–204CrossRefGoogle Scholar
  4. Chen B, Ding SF (2007) Fuzzy matter element model based on information entropy for forecasting the population of the corn borer. Math Practice Theory 37(10):78–82 (in Chinese)Google Scholar
  5. Chen SJ, Li XY, Zhou LF (2003) Quantitative study by grey system on the latent period of lung cancer induced by air pollutants. Chin J Epidemiol 24(3):233–235 (in Chinese)Google Scholar
  6. Chen J, Yang ST, Li HW, Zhang B, Lv JR (2013) Research on geographical environment unit division based on the method of Natural Breaks (Jenks). Int Arch Photogramm Remote Sens Spat Inf Sci XL-4/W3(4):47–50CrossRefGoogle Scholar
  7. Chen WQ, Zheng RS, Baade PD, Zhang SW, Zeng HM, Bray F, Jemal A, Yu XQ, He J (2016) Cancer statistics in China, 2015. CA Cancer J Clin 66(2):115–132CrossRefGoogle Scholar
  8. Choi KS, Shinozaki R, Inoue S (1997) Air pollution, temperature, and regional differences in lung cancer mortality in Japan. Arch Environ Health 52(3):160–168CrossRefGoogle Scholar
  9. Cohen AJ, Brauer M, Burnett R, Anderson HR, Frostad J, Estep K, Balakrishnan K, Brunekreef B, Dandona L, Dandona R, Feigin V, Freedman G, Hubbell B, Jobling A, Kan H, Knibbs L, Liu Y, Martin R, Morawska L, Pope CA III, Shin H, Straif K, Shaddick G, Thomas M, Van Dingenen R, Van Donkelaar A, Vos T, Murray CJL, Forouzanfart MH (2017) Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution:an analysis of data from the global burden of diseases study 2015. Lancet 389(10082):1907–1918CrossRefGoogle Scholar
  10. Ehrlich R (1966) Effect of nitrogen dioxide on resistance to respiratory infection. Bacteriol Rev 30(30):604–614Google Scholar
  11. Fajersztajn L, Veras M, Barrozo LV, Saldiva P (2013) Air pollution: a potentially modifiable risk factor for lung cancer. Nat Rev Cancer 13:674–678CrossRefGoogle Scholar
  12. Fan QY, He FH, Ma GB, Wang XR, Wang LP, Jiang WG (2016) Risk assessment of rainstorm disaster based on process rainfall: a case study of Songhua river basin. Geogr Geo-Information Sci 32(2):100–104 (in Chinese)Google Scholar
  13. Feng RZ, Mao B (2015) A study on correlation between death time and solar term in patients with lung cancer. J Emerg Tradit Chin Med 24(2):222–224 (in Chinese)Google Scholar
  14. George JK (2000) Fuzzy sets: an overview of fundamentals, applications and personal views. Beijing Normal University Press, BeijingGoogle Scholar
  15. Guo YL, Gu W, Lu CY, Wei HY (2013) Deoxyschizandrin and γ-Schizandrin content in wild schisandra sphenanthera to determine potential distribution in Qinling Mountains. Chin Bull Bot 48(4):411–422 (in Chinese)Google Scholar
  16. Guo YL, Wei HY, Gu W, Zhang HL (2015) Potential distributions of Sinopodophyllum hexandrum based on fuzzy matter element model. Acta Ecol Sin 35:770–778 (In Chinese)Google Scholar
  17. Han X, Liu YQ, Gao H, Ma JM, Mao XX, Wang YT, Ma XD (2017) Forecasting PM2.5 induced male lung cancer morbidity in China using satellite retrieved PM2.5 and spatial analysis. Sci Total Environ 607-608:1009–1017CrossRefGoogle Scholar
  18. He J, Zhao P, Chen WQ (2012) 2011 Chinese cancer registry annual report. Military Medical Science Press, Beijing. (in Chinese)Google Scholar
  19. He J, Chen W, Q (2012) 2012 Chinese cancer registry annual report. Military Medical Science Press, Beijing. (in Chinese)Google Scholar
  20. He J, Chen WQ (2017) 2013 Chinese cancer registry annual report. Tsinghua University Press, Beijing. (in Chinese)Google Scholar
  21. He J, Zhao P, Chen WQ (2017) 2016 Chinese cancer registry annual report. Tsinghua University Press, Beijing (in Chinese)Google Scholar
  22. Heinrich J, Thiering E, Rzehak P, Krämer U, Hochadel M, Rauchfuss KM, Gehring U, Wichmann HE (2013) Long-term exposure to NO2 and PM10 and all-cause and cause-specific mortality in a prospective cohort of women. Occup Environ Med 70(3):179–186CrossRefGoogle Scholar
  23. Hu BQ (2010) The basis of fuzzy theory. Wuhan University Press, Wuhan (in Chinese)Google Scholar
  24. Huang Y, Dai CM (2014) Study on rainstorm and flood disaster risk zoning of Leshan based on GIS technology. Plateau Mt Meteorol Res 34(1):62–67 (in Chinese)Google Scholar
  25. IARC Working Group on the Evaluation of Carcinogenic Risks to Humans (2016) IARC Monographs Volume 109: Outdoor Air Pollution. IARC Monogr Eval Carcinog Risks Hum, 109. International Agency for Research on Cancer, Lyon, 9–444 pp.https://monographs.iarc.fr/iarc-monographs-on-the-evaluation-of-carcinogenic-risks-to-humans-7/
  26. Katanoda K, Sobue T, Satoh H, Tajima K, Suzuki T, Nakatsuka H, Takezaki T, Nakayama T, Nitta H, Tanabe K, Tominaga S (2011) An association between long-term exposure to ambient air pollution and mortality from lung cancer and respiratory diseases in Japan. J Epidemiol 21(2):132–143CrossRefGoogle Scholar
  27. Koskela H, Tukiainen H, Kononoff A, Pekkarinen H (1994) Effect of whole-body exposure to cold and wind on lung function in asthmatic patients. Chest 105(6):1728–1731CrossRefGoogle Scholar
  28. Laden F, Schwartz J, Speizer FE, Dockery DW (2006) Reduction in fine particulate air pollution and mortality: extended follow-up of the Harvard six cities study. Am J Respir Crit Care Med 173(6):667–672CrossRefGoogle Scholar
  29. Lamichhane DK, Leem JH, Kim HC (2018) Associations between ambient particulate matter and nitrogen dioxide and chronic obstructive pulmonary diseases in adults and effect modification by demographic and lifestyle factors. Int J Environ Res Public Health 15(2):363CrossRefGoogle Scholar
  30. Lavigne E, Yasseen ASIII, Stieb DM, Hystad P, Donkelaar AV, Martin RV, Brook JR, Crouse DL, Burnett RT, Chen H, Weichenthal S, Johnson M, Villeneuve PJ, Walker M (2016) Ambient air pollution and adverse birth outcomes: differences by maternal comorbidities. Environ Res 148:457–466CrossRefGoogle Scholar
  31. Lee WJ, Teschke K, Kauppinen T, Andersen A, Jäppinen P, Szadkowska-Stanczyk, Pearce N, Persson B, Bergeret A, Facchini LA, Kishi R, Kielkowski D, Rix BA, Henneberger P, Sunyer J, Colin D, Kogevinas M, Boffetta P (2002) Mortality from lung cancer in workers exposed to sulfur dioxide in the pulp and paper industry. Environ Health Perspect 110(10):991–995CrossRefGoogle Scholar
  32. Li WW (2011) The wind evil quantitative simulation study and the related factors of the lung. Shandong Traditional Chinese Medicine University, Shandong (in Chinese)Google Scholar
  33. Li P (2016) Study on hazard risk of atmospheric particlate matter to the population health in Beijing. Lanzhou University, Lanzhou (in Chinese)Google Scholar
  34. Li J, Heap AD (2011) A review of comparative studies of spatial interpolation methods in environmental sciences: performance and impact factors. Ecol Inf 6(3):228–241CrossRefGoogle Scholar
  35. Li HX, Wang PZ (1994) Fuzzy mathematics. National Defence Industry Press, Beijing (in Chinese)Google Scholar
  36. Li CL, Fu JM, Sheng GY, Bi XH, Hao YM, Wang XM, Mai BX (2005a) Vertical distribution of PAHs in the indoor and outdoor PM2.5 in Guangzhou, China. Build Environ 40(3):329–341CrossRefGoogle Scholar
  37. Li X, Guo LF, Dong HQ (2005b) Impacts of meteorological factors on cancer death rate. Meteorol Sci Technol 33(6):577–579 (in Chinese)Google Scholar
  38. Li GX, Tao H, Liu LQ, Guo YM, Pan XC (2012) Interaction between inhalable particulate matter and apparent temperature on respiratory emergency room visits of a hospital in Beijing. J Environ Health 29(6):483–486Google Scholar
  39. Li YY, Meng YJ, Xia LF, Chen QQ, Qi XP, Ma JQ (2014) The application of spatial empirical Bayesian smoothing method in the spatial analysis of lung cancer mortality. China Digit Med 9(3):104–106 (in Chinese)Google Scholar
  40. Li SS, Ma ZW, Xiong XZ, Christiani DC, Wang ZX, Liu Y (2016) Satellite and ground observations of severe air pollution episodes in the winter of 2013 in Beijing, China. Aerosol Air Qual Res 16(4):977–989CrossRefGoogle Scholar
  41. Lin HL, Guo YF, Zheng Y, Zhao X, Cao Z, Rigdon SE, Xian H, Li X, Liu T, Xiao JP, Zeng WL, Weaver NL, Qian ZMM, Ma WJ, Wu F (2017) Exposure to ambient PM2.5 associated with overall and domain-specific disability among adults in six low- and middle-income countries. Environ Int 104:69–75CrossRefGoogle Scholar
  42. Lindeboom W, Alam N, Begum D, Streatfield PK (2012) The association of meteorological factors and mortality in rural Bangladesh, 1983–2009. Glob Health Action 5(11):1–13Google Scholar
  43. Lisa C, Vinikoor IJ, Allen D (2011) An ecologic analysis of county-level PM2.5 concentrations and lung cancer incidence and mortality. Int J Environ Res Public Health 8(6):1865–1871CrossRefGoogle Scholar
  44. Liu MY, Lin JT, Wang YC, Sun Y, Zheng B, Shao JY, Chen LL, Zheng YX, Chen JX, Fu M, Yan YY, Zhang Q, Wu ZH (2018) Spatiotemporal variability of NO2 and PM2.5 over eastern China: observational and model analyses with a novel statistical method. Atmos Chem Phys:1–34Google Scholar
  45. Loomis D, Grosse Y, Lauby-Secretan B, El Ghissassi F, Bouvard V, Benbrahim-Tallaa L, Guha N, Baan R, Mattock H, Straif K (2013) The carcinogenicity of outdoor air pollution. Lancet Oncol 14:1262–1263CrossRefGoogle Scholar
  46. Lu CY, Gu W, Dai AH, Wei HY (2012) Assessing habitat suitability based on geographic information system (GIS) and fuzzy: a case study of Schisandra sphenanthera Rehd. et Wils. in Qinling Mountains, China. Ecol Model 242(3):105–115CrossRefGoogle Scholar
  47. Luo W, Taylor MC, Parker SR (2008) A comparison of spatial interpolation methods to estimate continuous wind speed surfaces using irregularly distributed data from England and Wales. Int J Climatol 28(7):947–959CrossRefGoogle Scholar
  48. Men BH (2009) Fuzzy matter element model for evaluating environmental carrying capacity of ground water. International conference on fuzzy systems and knowledge discovery. 3, 109–113Google Scholar
  49. Michelle CT, Daniel K, Pope CAIII, Chen Y, Gapstur SM, Thun MJ (2011) Long-term ambient fine particulate matter air pollution and lung cancer in a large cohort of never-smokers. Am J Respir Crit Care Med 184(12):1374–1381CrossRefGoogle Scholar
  50. Mou NX, Liu WB, Wang HY, Dai HL (2012) ArcGIS 10 tutorial: from beginner to master, vol 339. Surveying and Mapping Press, Beijing (in Chinese)Google Scholar
  51. Mouton AM, Alcaraz-Hernández JD, De Baets B, Goethals PLM, Martínez-Capel F (2011) Data-driven fuzzy habitat suitability models for brown trout in Spanish Mediterranean rivers. Environ Model Softw 26(5):615–622CrossRefGoogle Scholar
  52. Mu L, Liu L, Niu RG, Zhao BX, Shi JP, Li YL, Swanson M, Scheider W, Su J, Chang SC, Yu SZ, Zhang ZF (2013) Indoor air pollution and risk of lung cancer among Chinese female non-smokers. Cancer Causes Control 24(3):439–450CrossRefGoogle Scholar
  53. Nawrot TS, Nackaerts K, Hoet PHM, Nemery B (2007) Lung cancer mortality and fine particulate air pollution in Europe. Int J Cancer 120(8):1825–1826CrossRefGoogle Scholar
  54. Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modeling of species geographic distributions. Ecol Model 190:231–259CrossRefGoogle Scholar
  55. Pope CAIII, Burnett RT, Thun MJ, Calle EE, Krewski D, Ito K, Thurston GD (2002) Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution. J Am Med Assoc 287(9):1132–1141CrossRefGoogle Scholar
  56. Qin GH, Meng ZQ (2009) Effects of sulfur dioxide derivatives on expression of oncogenes and tumor suppressor genes in human bronchial epithelial cells. Food Chem Toxicol 47(4):734–744CrossRefGoogle Scholar
  57. Richters A, Kuraitis K (1981) Inhalation of NO2 and blood borne cancer cell spread to the lungs. Arch Environ Health 36(1):36–39CrossRefGoogle Scholar
  58. Rüger N, Schlüter M, Matthies M (2005) A fuzzy habitat suitability index for Populus euphratica, in the Northern Amudarya delta (Uzbekistan). Ecol Model 184:313–328CrossRefGoogle Scholar
  59. Shao S, Li X, Cao JH, Yang LL (2016) China’s economic policy choices for governing smog pollution based on spatial spillover effects. Economic Research Journal. 2016(9):73–88 (in Chinese)Google Scholar
  60. Siu-Nganlam N (1983) Spatial interpolation methods: a review. Am Cartogr 10(2):129–149CrossRefGoogle Scholar
  61. Sun LK, Jin JS, Geng JB (2012) Research on the influence factors of the equipment’s expense based on the amend grey correlation. Journal of Mathematics in Practice and Theory. 42(8):140–145 (in Chinese)Google Scholar
  62. Tang GA, Yang X (2006) ArcGIS experimental tutorial on spatial analysis of geographic information system. Science Press, Beijing (in Chinese)Google Scholar
  63. Tango T (1994) Effect of air pollution on lung cancer: a Poisson regression model based on vital statistics. Environ Health Perspect 102(Suppl 8):41–44CrossRefGoogle Scholar
  64. Tian L, Liang FC, Guo Q, Chen S, Xiao SN, Wu ZT, Jin XB, Pan XC (2018) The effects of interaction between particulate matter and temperature on mortality in Beijing, China. Environ Sci Process Impacts 20(2):395–405CrossRefGoogle Scholar
  65. Tseng CY, Huang YC, Su SY, Huang JY, Lai CH, Lung CC, Ho CC, Liaw YP (2012a) Cell type specificity of female lung cancer associated with sulfur dioxide from air pollutants in Taiwan: an ecological study. BMC Public Health 12(1):4CrossRefGoogle Scholar
  66. Tseng CY, Huang YC, Su SY, Huang JY, Lai CH, Lung CC, Ho CC, Liaw YP (2012b) Cell type specificity of female lung cancer associated with sulfur dioxide from air pollutants in Taiwan: an ecological study. BMC Public Health 12(1):1471–2458Google Scholar
  67. Tuan NT, Qiu JJ, Verdoodt A, Ranst EV (2011) Temperature and precipitation suitability evaluation for the winter wheat and summer maize cropping system in the Huang-Huai-Hai Plain of China. Agric Sci China 10(2):275–288CrossRefGoogle Scholar
  68. Van Donkelaar A, Martin RV, Brauer M, Kahn R, Levy R, Verduzco C, Villeneuve PJ (2010) Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: development and application. Environ Health Perspect 118(6):847–855CrossRefGoogle Scholar
  69. Van Donkelaar A, Martin RV, Brauer M, Hsu NC, Kahn RA, Levy RC, Lyapustin A, Sayer AM, Winker DM (2016) Global estimates of fine particulate matter using a combined geophysical-statistical method with information from satellites, models, and monitors. Environ Sci Technol 50(7):3762–3772CrossRefGoogle Scholar
  70. Wang XD (2014) Study of the damage effect of nitrogen dioxide and its derivatives on lung and brain. Shanxi University, Taiyuan (in Chinese)Google Scholar
  71. Wang H, Zhuang ZW (2000) Determination of membership function in fuzzy reliability analysis. Electron Prod Reliab Environ Test (4):2–7 (in Chinese)Google Scholar
  72. Weber TC (2011) Maximum entropy modeling of mature hardwood forest distribution in four U.S. states. For Ecol Manag 261:779–788CrossRefGoogle Scholar
  73. Wen HR, Zhou WS (2014) Research progress on mechanism of toxicity and carcinogenicity of PM2.5 in atmosphere. J Public Health Prev Med 25(6):70–73 (in Chinese)Google Scholar
  74. Wu M (2016) Spatial distribution and influencing factors of cancer villages in China. Henan University, Henan (in Chinese)Google Scholar
  75. Xia CF, Zheng RS, Zeng HM, Zhou MG, Wang LJ, Zhang SW, Zou XN, Sun KX, Yang ZX, Li H, Parascandola M, Islami F, Chen WQ (2018) Provincial-level cancer burden attributable to active and second-hand smoking in China. Tob Control.  https://doi.org/10.1136/tobaccocontrol-2018-054583
  76. Xie JJ, Liu CP (2000) Fuzzy mathematical method and its application. Huazhong University of Science and Technology Press, Wuhan, pp 37–38 (in Chinese)Google Scholar
  77. Xie R, Sabel CE, Lu X, Zhu WM, Kan HD, Nielsen CP, Wang HK (2016) Long-term trend and spatial pattern of PM2.5 induced premature mortality in China. Environ Int 97:180–186CrossRefGoogle Scholar
  78. Xu ZY, Yang YF (2002) Comprehensive treatment of lung cancer with traditional Chinese and western medicine. People’s Health Press, Beijing (in Chinese)Google Scholar
  79. Xu WY, Zhao CS, Ran L, Deng ZZ, Liu PF, Ma N, Lin WL, Xu XB, Yan P, He X, Yu J, Liang WD, Chen LL (2011) Characteristics of pollutants and their correlation to meteorological conditions at a suburban site in the North China Plain. Atmos Chem Phys Discuss 11(3):4353–4369CrossRefGoogle Scholar
  80. Yan HH, Zhang XY, Wang WH (2015) Spatiotemporal variations of NO2 and SO2 over global region and China by OMI observations during 2004-2014. Sci Technol Rev 33(17):41–51 (in Chinese)Google Scholar
  81. Yang GH, Ma JM, Liu N (2005) Smoking and passive smoking in Chinese, 2002. Chin J Epidemiol 26(2):77–83 (in Chinese)Google Scholar
  82. Zhang XQ, Liang C (2005) Application of fuzzy matter-element model based on coefficients of entropy in comprehensive evaluation of water quality. J Hydraul Eng 36(9):1057–1061Google Scholar
  83. Zhang JH, Men BH, Zhang XQ, Liang C (2003) Fuzzy matter element analysis of grassland types based on information entropy. J Mt Sci 21(supplement):64–68 (In Chinese)Google Scholar
  84. Zhang SL, Zhao GF, Li JW (2007) The research progress and significance of lung cancer related genes. J Prev Med Chin People’s Liberation Army 25(2):149–151 (in Chinese)Google Scholar
  85. Zhang GQ, Wang N, Wang T, Zhu WX, Qu CX, Xing XM (2009) Influence of tobacco consumption and air pollution on lung cancer mortality of permanent residents in Beijing urban area. J Environ Health 26(8):666–669 (in Chinese)Google Scholar
  86. Zhang M, Wang LM, Li YC, Li XY, Jiang Y, Hu N, Xiao L, Li Q, Yang Y, Yang GH (2012) Cross-sectional survey on smoking and smoking cessation behaviors among Chinese adults in 2010. Chin J Prev Med 46(5):404–408 (in Chinese)Google Scholar
  87. Zhang X, Yang QY, Lin GZ, Shen JC, Zhou Q, Li K, Dong H, Song SF, Liu BY, Chen Q (2014) Grey relational analysis on association between urban air pollution and lung cancer in China. Chin J Public Health 30(20):165–170 (in Chinese)Google Scholar
  88. Zhao P, Chen WQ (2009) 2008 Chinese cancer registry annual report. Military Medical Science Press, Beijing (in Chinese)Google Scholar
  89. Zhao P, Chen WQ (2010) 2009 Chinese cancer registry annual report. Military Medical Science Press, Beijing (in Chinese)Google Scholar
  90. Zhao P, Chen WQ (2011) 2010 Chinese cancer registry annual report. Military Medical Science Press, Beijing (in Chinese)Google Scholar
  91. Zhou D (1983) The effect of nitrogen dioxide on lung resistance. Railw Energ Saving Environ Prot Occup Saf Health (2):65–68 (in Chinese)Google Scholar
  92. Zou YZ (2017) Study on the environmental factors of lung cancer in China based on GIS and remote sensing. University of Chinese Academy of Sciences, Beijing (in Chinese)Google Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Xiao Han
    • 1
  • Yanlong Guo
    • 2
  • Hong Gao
    • 1
    Email author
  • Jianmin Ma
    • 1
    • 3
  • Manjie Sang
    • 4
  • Sheng Zhou
    • 1
  • Tao Huang
    • 1
  • Xiaoxuan Mao
    • 1
  1. 1.Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental SciencesLanzhou UniversityLanzhouChina
  2. 2.Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhouChina
  3. 3.College of Urban and Environmental SciencePeking UniversityBeijingChina
  4. 4.Research Center for Eco-Environment Sciences in ShanxiTaiyuanChina

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