Journal of Soils and Sediments

, Volume 18, Issue 7, pp 2520–2534 | Cite as

Bibliometric analysis of insights into soil remediation

  • Guozhu Mao
  • Tongtong Shi
  • Shu Zhang
  • John Crittenden
  • Siyi Guo
  • Huibin Du
Soils, Sec 3 • Remediation and Management of Contaminated or Degraded Lands • Research Article
  • 114 Downloads

Abstract

Purpose

Environmental pollution is a great concern worldwide. The soil environment, an important compartment for global elemental cycling, has received tremendous research focuses over the past 20 years. This study investigated the current research activities in the field of contaminated soil remediation and determined the trend of research topics.

Materials and methods

We performed a quantitative bibliometric analysis based on journal articles published within the past 20 years using the Science Citation Index and Social Sciences Citation Index databases on the Web of Science. To further analyze the publication performance and identify the major soil contamination topics, we employed social network analysis and S-curve predictions.

Results and discussion

Chemosphere and Journal of Hazardous Materials were the most productive journals with a total of 433 and 431 articles from 1996 to 2015 on contaminated soil remediation, respectively. China had the largest amount of publications (n = 1518) and the Chinese Academy of Science was the most prominent institution (n = 475). Keyword analysis further identified the most studied soil pollutants, such as polycyclic aromatic hydrocarbons, crude oil, and heavy metals, in the top five productive countries, including China, USA, Spain, India, and Canada. Moreover, soil remediation technologies, including microbial remediation, phytoremediation, and electrokinetic remediation, were the major technologies receiving increasing interest in the results of the prediction analysis.

Conclusions

Our results identified the hotspots and developing trends of contaminated soil remediation studies and provide guidance for future research directions. However, transitions from the laboratory to field implementations are still required. Bibliometric analysis, combined with patent analysis, social network analysis, and S-curve prediction, is a useful tool to provide a quantitative measurement of research activities in the past and present, enabling a prediction on the future study of soil remediation.

Keywords

Collaborative relationships Journal articles Patent analysis SNA 

Notes

Acknowledgements

We would like to thank Dr. Hui Ding for his advice on the soil remediation technologies. Authors are grateful to Dr. Nancy Merino for her assistance of this work.

Funding information

This research is supported by the National Natural Science Foundation of China (51641407, 71673198).

References

  1. Agamuthu P, Abioye OP, Aziz AA (2010) Phytoremediation of soil contaminated with used lubricating oil using Jatropha curcas. J Hazard Mater 179(1-3):891–894.  https://doi.org/10.1016/j.jhazmat.2010.03.088 CrossRefGoogle Scholar
  2. Amagai T, Takahashi Y, Matsushita H, Morknoy D, Sukasem P, Tabucanon M (1999) A survey on polycyclic aromatic hydrocarbon concentrations in soil in Chiang-Mai, Thailand. Environ Int 25(5):563–572.  https://doi.org/10.1016/S0160-4120(99)00026-4 CrossRefGoogle Scholar
  3. Azcue JM, Mudroch A, Rosa F, Hall GEM (2008) Effects of abandoned gold mine tailings on the arsenic concentrations in water and sediments of jack of clubs lake, B.C. Environ Technol 15:669–678CrossRefGoogle Scholar
  4. Bejan A, Lorente S (2012) The physics of spreading ideas. Int J Heat Mass Tran 55(4):802–807.  https://doi.org/10.1016/j.ijheatmasstransfer.2011.10.029 CrossRefGoogle Scholar
  5. Bejan A, Lorente S, Yilbas BS, Sahin AZ (2013) Why solidification has an S-shaped history. Sci Rep 3(1):1711–1715.  https://doi.org/10.1038/srep01711 CrossRefGoogle Scholar
  6. Bornmann L, Daniel H-D (2007) What do we know about the h index? J Am Soc Inf Sci Tec 58(9):1381–1385.  https://doi.org/10.1002/asi.20609 CrossRefGoogle Scholar
  7. Bozeman B, Fay D, Slade CP (2012) Research collaboration in universities and academic entrepreneurship: the-state-of-the-art. J Technol Transf 38:1–67CrossRefGoogle Scholar
  8. Butler L (2003) Explaining Australia’s increased share of ISI publications—the effects of a funding formula based on publication counts. Res Policy 32:13CrossRefGoogle Scholar
  9. Byungun Yoon SL (2008) Patent analysis for technology forecasting: sector-specific applications, International Engineering Management Conference International Engineering Management Conference, pp 1–5Google Scholar
  10. Carlos Garbisu IA (2001) Phytoextraction: a cost-effective plant-based technology for the removal of metals from the environment. Bioresour Technol 77(3):229–236.  https://doi.org/10.1016/S0960-8524(00)00108-5 CrossRefGoogle Scholar
  11. Chen S-R, Chiu W-T, Ho YS (2005) Asthma in children: mapping the literature by bibliometric analysis. Rev Fr Allergol 45(6):442–446.  https://doi.org/10.1016/j.allerg.2005.08.002 Google Scholar
  12. Chen Y-H, Chen C-Y, Lee S-C (2011) Technology forecasting and patent strategy of hydrogen energy and fuel cell technologies. Int J Hydrogen Energ 36(12):6957–6969.  https://doi.org/10.1016/j.ijhydene.2011.03.063 CrossRefGoogle Scholar
  13. Chen B, Yuan M, Qian L (2012) Enhanced bioremediation of PAH-contaminated soil by immobilized bacteria with plant residue and biochar as carriers. J Soils Sediments 12:1350–1359CrossRefGoogle Scholar
  14. Chen H, Teng Y, Lu S, Wang Y, Wang J (2015) Contamination features and health risk of soil heavy metals in China. Sci Total Environ 512-513:143–153.  https://doi.org/10.1016/j.scitotenv.2015.01.025 CrossRefGoogle Scholar
  15. China MEP (2014) MEP and MLR announce the report on national general survey on soil contamination, Ministry of environmental protection and the ministry of land and resources issued a national survey on soil pollution, http://english.sepa.gov.cn/News_service/news_release/201404/t20140428_271088.shtml
  16. Dermont G, Bergeron M, Mercier G, Richer-Laflèche M (2008a) Metal-contaminated soils: remediation practices and treatment technologies. Pract Period HazardTox Radioact Waste Manage 12:23Google Scholar
  17. Dermont G, Bergeron M, Mercier G, Richer-Laflèche M (2008b) Soil washing for metal removal: a review of physical/chemical technologies and field applications. J Hazard Mater 152(1):1–31.  https://doi.org/10.1016/j.jhazmat.2007.10.043 CrossRefGoogle Scholar
  18. Du H, Li N, Brown MA, Peng Y, Shuai Y (2014) A bibliographic analysis of recent solar energy literatures: the expansion and evolution of a research field. Renew Energ 66:696–706.  https://doi.org/10.1016/j.renene.2014.01.018 CrossRefGoogle Scholar
  19. Du H, Li B, Brown MA, Mao G, Rameezdeen R, Chen H (2015) Expanding and shifting trends in carbon market research: a quantitative bibliometric study. J Clean Prod 103:104–111.  https://doi.org/10.1016/j.jclepro.2014.05.094 CrossRefGoogle Scholar
  20. Fan Y, Li H, Xue Z, Zhang Q, Cheng F (2017) Accumulation characteristics and potential risk of heavy metals in soil-vegetable system under greenhouse cultivation condition in Northern China. Ecol Eng 102:367–373CrossRefGoogle Scholar
  21. Fatima K, Afzal M, Imran A, Khan QM (2015) Bacterial rhizosphere and endosphere populations associated with grasses and trees to be used for phytoremediation of crude oil contaminated soil. Bull Environ Contam Tox 94(3):314–320.  https://doi.org/10.1007/s00128-015-1489-5 CrossRefGoogle Scholar
  22. Federal Remediation Technology Roundtable (2002) Remediation technologies screening matrix and reference guideGoogle Scholar
  23. Fent K (2004) Ecotoxicological effects at contaminated sites. Toxicology 205(3):223–240.  https://doi.org/10.1016/j.tox.2004.06.060 CrossRefGoogle Scholar
  24. Gan S, Lau EV, Ng HK (2009) Remediation of soils contaminated with polycyclic aromatic hydrocarbons (PAHs). J Hazard Mater 172:532–49Google Scholar
  25. Giripunje MD, Fulke AB, Meshram PU (2015) Remediation techniques for heavy-metals contamination in lakes: a mini-review. Clean - Soil Air Water 43:1350–1354CrossRefGoogle Scholar
  26. Hamid Darvish A, (2008) (Turkey ) The impact of the latent semantic analysis on science and technology: a bibliometric analysis. Int Inst Informatics & SystemicsGoogle Scholar
  27. Haritash AK, Kaushik CP (2009) Biodegradation aspects of polycyclic aromatic hydrocarbons (PAHs): a review. J Hazard Mater 169:1–15Google Scholar
  28. Hartman R, Kwon OS (2005) Sustainable growth and the environmental Kuznets curve. J Econ Dyn Control 29(10):1701–1736.  https://doi.org/10.1016/j.jedc.2004.10.001 CrossRefGoogle Scholar
  29. He J, Sung Y, Krajmalnik-Brown R, Ritalahti KM, Löffler FE (2005) Isolation and characterization of Dehalococcoides sp strain FL2, a trichloroethene (TCE)- and 1,2-dichloroethene-respiring anaerobe. Environ Microbiol 7(9):1442–1450.  https://doi.org/10.1111/j.1462-2920.2005.00830.x CrossRefGoogle Scholar
  30. Hicks D, Wouters P, Waltman L, Rijcke SD, Rafols I (2015) The Leiden Manifesto for research metrics. Nature 520(7548):429–431.  https://doi.org/10.1038/520429a CrossRefGoogle Scholar
  31. Hirsch JE (2010) An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship. Scientometrics 85(3):741–754.  https://doi.org/10.1007/s11192-010-0193-9 CrossRefGoogle Scholar
  32. Ibrahim RK, Hayyan M, MA AS, Hayyan A, Ibrahim S (2016) Environmental application of nanotechnology: air, soil, and water. Environ Sci Pollut Res Int 23(14):13754–13788.  https://doi.org/10.1007/s11356-016-6457-z CrossRefGoogle Scholar
  33. Ie IR, Hung CH, Jen YS, Yuan CS, Chen WH (2013) Adsorption of vapor-phase elemental mercury (Hg 0 ) and mercury chloride (HgCl 2 ) with innovative composite activated carbons impregnated with Na 2 S and S 0 in different sequences. Chem Eng J 229:469–476.  https://doi.org/10.1016/j.cej.2013.06.059 CrossRefGoogle Scholar
  34. Jiang X, Zhang Q, Zhao H, Geng G, Peng L, Guan D, Kan H, Huo H, Lin J, Brauer M (2015) Revealing the hidden health costs embodied in Chinese exports. Environ Sci Technol 49(7):4381–4388.  https://doi.org/10.1021/es506121s CrossRefGoogle Scholar
  35. Johnson BL (1995) Nature, extent, and impact of superfund hazardous waste sites. Chemosphere 31(1):2415–2428.  https://doi.org/10.1016/0045-6535(95)00112-L CrossRefGoogle Scholar
  36. Jones C, Volpe EH (2011) Organizational identification: extending our understanding of social identities through social networks. J Organ Behav 32(3):413–434.  https://doi.org/10.1002/job.694 CrossRefGoogle Scholar
  37. Judit Lienerta FS, Ingold K (2013) Stakeholder analysis combined with social network analysis provides finegrained insights into water infrastructure planning processes. J Environ Manag 125:134–148.  https://doi.org/10.1016/j.jenvman.2013.03.052 CrossRefGoogle Scholar
  38. Julie M, Nightingale GM (2013) Reprint of “Citation analysis as a measure of article quality, journal influence and individual researcher performance”. Nurse Educ Pract 13:429–436CrossRefGoogle Scholar
  39. Kong X (2014) China must protect high-quality arable land. Nature 506(7486):7.  https://doi.org/10.1038/506007a CrossRefGoogle Scholar
  40. Kumpiene J, Lagerkvist A, Maurice C (2008) Stabilization of As, Cr, Cu, Pb and Zn in soil using amendments - a review. Waste Manag 28:215–225CrossRefGoogle Scholar
  41. Kuppusamy S, Thavamani P, Venkateswarlu K, Lee YB, Naidu R, Megharaj M (2017) Remediation approaches for polycyclic aromatic hydrocarbons (PAHs) contaminated soils: technological constraints, emerging trends and future directions. Chemosphere 168:944–968.  https://doi.org/10.1016/j.chemosphere.2016.10.115 CrossRefGoogle Scholar
  42. Ledley LMF (2012) Patterns of technological innovation in biotech. Nat Biotechnol 30:937–944CrossRefGoogle Scholar
  43. Lewis TA, Newcombe DA, Crawford RL (2004) Bioremediation of soils contaminated with explosives. J Environ Manag 70(4):291–307.  https://doi.org/10.1016/j.jenvman.2003.12.005 CrossRefGoogle Scholar
  44. Li J, Zheng Y, Luo X, Lin Z, Zhang W, Wang X (2016) PAH contamination in Beijing’s topsoil: a unique indicator of the megacity’s evolving energy consumption and overall environmental quality. Sci Rep 6(1):33245.  https://doi.org/10.1038/srep33245 CrossRefGoogle Scholar
  45. Lim MW, Lau EV, Poh PE (2016) A comprehensive guide of remediation technologies for oil contaminated soil—present works and future directions. Mar Pollut Bull 109(1):14–45.  https://doi.org/10.1016/j.marpolbul.2016.04.023 CrossRefGoogle Scholar
  46. Liu J, Diamond J (2005) China’s environment in a globalizing world. Nature 435(7046):1179–1186.  https://doi.org/10.1038/4351179a CrossRefGoogle Scholar
  47. Liu C-Y, Wang J-C (2009) Forecasting the development of the biped robot walking technique in Japan through S-curve model analysis. Scientometrics 82:21–36CrossRefGoogle Scholar
  48. Loet Leydesdorff IR (2011) Interactive overlays: a new method for generating global journal maps from web-of-science data. J Inf Secur 6:15Google Scholar
  49. Ma WC, You XY (2016) Numerical simulation of plant-microbial remediation for petroleum-polluted soil. Soil Sediment Contam 25:272–283CrossRefGoogle Scholar
  50. Mandal BK, Suzuki KT (2002) Arsenic round the world: a review. Talanta 58(1):201–235.  https://doi.org/10.1016/S0039-9140(02)00268-0 CrossRefGoogle Scholar
  51. Mao G, Liu X, Du H, Zuo J, Wang L (2015a) Way forward for alternative energy research: a bibliometric analysis during 1994–2013. Renew Sust Energ Rev 48:276–286.  https://doi.org/10.1016/j.rser.2015.03.094 CrossRefGoogle Scholar
  52. Mao G, Zou H, Chen G, Du H, Zuo J (2015b) Past, current and future of biomass energy research: a bibliometric analysis. Renew Sust Energ Rev 52:1823–1833.  https://doi.org/10.1016/j.rser.2015.07.141 CrossRefGoogle Scholar
  53. Marks SC Jr (2003) The use and abuse of impact factors. Clin Anat 16(3):282–283.  https://doi.org/10.1002/ca.10139 CrossRefGoogle Scholar
  54. Matera V, Hécho IL, Laboudigue A, Thomas P, Tellier S, Astruc M (2003) A methodological approach for the identification of arsenic bearing phases in polluted soils. Environ Pollut 126(1):51–64.  https://doi.org/10.1016/S0269-7491(03)00146-5 CrossRefGoogle Scholar
  55. Mchenry C, McIntyre AJ, Ungers LJ (1985) Release of arsenic from semiconductor wafers. Am Ind Hyg Assoc J 46:416–420CrossRefGoogle Scholar
  56. McLinden D (2013) Concept maps as network data: analysis of a concept map using the methods of social network analysis. Eval Program Plann 36(1):40–48.  https://doi.org/10.1016/j.evalprogplan.2012.05.001 CrossRefGoogle Scholar
  57. Mico C, Recatala L, Peris M, Sanchez J (2006) Assessing heavy metal sources in agricultural soils of an European Mediterranean area by multivariate analysis. Chemosphere 65(5):863–872.  https://doi.org/10.1016/j.chemosphere.2006.03.016 CrossRefGoogle Scholar
  58. Neuberger J, Counsell C (2002) Impact factors: uses and abuses. Eur J Gastroenterol Hepatol 14(3):209–211.  https://doi.org/10.1097/00042737-200203000-00001 CrossRefGoogle Scholar
  59. Nriagu JO, Azcue JM (1990) Food contamination with arsenic in the environment. In: Nriagu JO Simmons MS (eds) Food contamination from environmental sources. John Wiley & Sons, Inc. N.Y., pp 121–144Google Scholar
  60. Nriagu JO, Azcue JM, Nriagu JO, Simmons MS (1990) Food contamination with arsenic in the environment. Adv. Environ. Sci. TechnolGoogle Scholar
  61. Pan K, Zhu A, Xu Z, Wang W (2014) Copper contamination in coastal and estuarine waters of China. Asian J Ecotoxicol 9:618–631Google Scholar
  62. Panagos P, Van Liedekerke M, Yigini Y, Montanarella L (2013) Contaminated sites in Europe: review of the current situation based on data collected through a European network. J Environ Public Health, Article ID 158764Google Scholar
  63. Paria S (2008) Surfactant-enhanced remediation of organic contaminated soil and water. Adv Colloid Interf Sci 138(1):24–58.  https://doi.org/10.1016/j.cis.2007.11.001 CrossRefGoogle Scholar
  64. Pereira F, Rui JCS, Soares AMM, Araújo MF (2013) The role of arsenic in chalcolithic copper artefacts–insights from Vila Nova de São Pedro (Portugal). J Archaeol Sci 40(4):2045–2056.  https://doi.org/10.1016/j.jas.2012.12.015 CrossRefGoogle Scholar
  65. Perez-Sanz A, Millan R, Sierra MJ, Alarcon R, Garcia P, Gil-Diaz M, Vazquez S, Lobo MC (2012) Mercury uptake by Silene vulgaris grown on contaminated spiked soils. J Environ Manag 95:S233–S237.  https://doi.org/10.1016/j.jenvman.2010.07.018 CrossRefGoogle Scholar
  66. Prathap G (2009) Is there a place for a mock h-index? Scientometrics 84:153–165CrossRefGoogle Scholar
  67. Pritchard A (1969) Statistical bibliography or bibliometrics? J Doc 25:348–349Google Scholar
  68. Qu A, Brulc JM, Wilson MK, Law BF, Theoret JR, Joens LA, Konkel ME, Angly F, Dinsdale EA, Edwards RA (2008) Comparative metagenomics reveals host specific metavirulomes and horizontal gene transfer elements in the chicken cecum microbiome. PLoS One 3(8):e2945.  https://doi.org/10.1371/journal.pone.0002945 CrossRefGoogle Scholar
  69. Qu C, Shi W, Guo J, Fang B, Wang S, Giesy JP, Holm PE (2016) China’s soil pollution control: choices and challenges. Environ Sci Technol 50(24):13181–13183.  https://doi.org/10.1021/acs.est.6b05068 CrossRefGoogle Scholar
  70. Seo JS, Keum YS, Li QX (2009) Bacterial degradation of aromatic compounds. Int. J. Environ. Res Public Health 6:278–309Google Scholar
  71. Song B, Zeng G, Gong J, Jie L, Xu P, Liu Z, Yi Z, Chen Z, Min C, Yang L (2017) Evaluation methods for assessing effectiveness of in situ remediation of soil and sediment contaminated with organic pollutants and heavy metals. Environ Int 105:43–55.  https://doi.org/10.1016/j.envint.2017.05.001 CrossRefGoogle Scholar
  72. Tian C, Wang MD, Si YB (2010) Influences of charcoal amendment on adsorption-desorption of isoproturon in soils. Agr Sci China 9(2):257–265.  https://doi.org/10.1016/S1671-2927(09)60091-2 CrossRefGoogle Scholar
  73. Usman M, Faure P, Lorgeoux C, Ruby C, Hanna K (2013) Treatment of hydrocarbon contamination under flow through conditions by using magnetite catalyzed chemical oxidation. Environ Sci Pollut Res Int 20:22–30CrossRefGoogle Scholar
  74. Vaidehi K, Kulkarni SD (2012) Microbial remediation of polycyclic aromatic hydrocarbons: an overview. Res J Chem Environ 16:200–212Google Scholar
  75. Varjani SJ (2017) Microbial degradation of petroleum hydrocarbons. Bioresour Technol 223:277–286.  https://doi.org/10.1016/j.biortech.2016.10.037 CrossRefGoogle Scholar
  76. Virkutytea J, Sillanpää M, Latostenmaa P (2002) Electrokinetic soil remediation - critical overview. Sci Total Environ 289:25Google Scholar
  77. Waller AS, Krajmalnik-Brown R, Löffler FE, Edwards EA (2005) Multiple reductive-dehalogenase-homologous genes are simultaneously transcribed during dechlorination by Dehalococcoides-containing cultures. Appl Environ Microbiol 71(12):8257–8264.  https://doi.org/10.1128/AEM.71.12.8257-8264.2005 CrossRefGoogle Scholar
  78. Wang J, Feng X, Anderson CW, Xing Y, Shang L (2012) Remediation of mercury contaminated sites - a review. J Hazard Mater 221-222:1–18.  https://doi.org/10.1016/j.jhazmat.2012.04.035 CrossRefGoogle Scholar
  79. Wang L, Zhao L, Mao G, Zuo J, Du H (2017) Way to accomplish low carbon development transformation: a bibliometric analysis during 1995–2014. Renew Sust Energ Rev 68:57–69.  https://doi.org/10.1016/j.rser.2016.08.021 CrossRefGoogle Scholar
  80. Weissenfels WD, Klewer HJ, Langhoff J (1992) Adsorption of polycyclic aromatic hydrocarbons (PAHs) by soil particles: influence on biodegradability and biotoxicity. Appl Microbiol Biot 36:689–696CrossRefGoogle Scholar
  81. Wen XL, Yang YN (2008) Application and prospect of biological remediation technology in organic contaminated soils. Environ Sci Technol 25:1806–1814Google Scholar
  82. Xu J, Pancras T, Grotenhuis T (2011) Chemical oxidation of cable insulating oil contaminated soil. Chemosphere 84(2):272–277.  https://doi.org/10.1016/j.chemosphere.2011.03.044 CrossRefGoogle Scholar
  83. Yang BM, Kao CM, Chen CW, Sung WP, Surampalli RY (2012) Application of in situ chemical oxidation for the remediation of TPH-contaminated soils. Appl Mech Mater 121-126:196–200CrossRefGoogle Scholar
  84. Yang J, Teng Y, Wu J, Chen H, Wang G, Song L, Yue W, Zuo R, Zhai Y (2017) Current status and associated human health risk of vanadium in soil in China. Chemosphere 171:635–643.  https://doi.org/10.1016/j.chemosphere.2016.12.058 CrossRefGoogle Scholar
  85. Yao Y (2016) Pollution: spend more on soil clean-up in China. Nature 533(7604):469.  https://doi.org/10.1038/533469a CrossRefGoogle Scholar
  86. Yao Z, Li J, Xie H, Yu C (2012) Review on remediation technologies of soil contaminated by heavy metals. Procedia Environ Sci 16:722–729.  https://doi.org/10.1016/j.proenv.2012.10.099 CrossRefGoogle Scholar
  87. Ye Q, Song H, Li T (2012) Cross-institutional collaboration networks in tourism and hospitality research. Tourism Manag Perspectives 2-3:55–64.  https://doi.org/10.1016/j.tmp.2012.03.002 CrossRefGoogle Scholar
  88. Yongming L (2009) Current research and development in soil remediation technologies. Prog Chem 20:117–132Google Scholar
  89. Yoon B, Park Y (2004) A text-mining-based patent network: analytical tool for high-technology trend. The Journal of High Technology Management Research 15(1):37–50.  https://doi.org/10.1016/j.hitech.2003.09.003 CrossRefGoogle Scholar
  90. Yu-Shuang LI (2012) Advances in soil remediation Technologies of Urban Industrial Contaminated Sites. Journal of Anhui Agricultural SciencesGoogle Scholar
  91. Zhang F, Li G (2016) China released the Action Plan on Prevention and Control of Soil Pollution. Front Env Sci Eng 10(4):19–20.  https://doi.org/10.1007/s11783-016-0867-5 CrossRefGoogle Scholar
  92. Zhang Y, Zhang H, Yang W (2015) Rabbit protein adsorption properties of copper (II) ion-polluted soil. Pol J Environ Stud 24:2295–2300CrossRefGoogle Scholar
  93. Zhang S, Mao G, Crittenden J, Liu X, Du H (2017) Groundwater remediation from the past to the future: a bibliometric analysis. Water Res 119:114–125.  https://doi.org/10.1016/j.watres.2017.01.029 CrossRefGoogle Scholar
  94. Zhao FJ, Ma Y, Zhu YG, Tang Z, McGrath SP (2015) Soil contamination in China: current status and mitigation strategies. Environ Sci Technol 49:750–9Google Scholar
  95. Zhou F, Guo H-C, Ho Y-S, Wu C-Z (2007) Scientometric analysis of geostatistics using multivariate methods. Scientometrics 73(3):265–279.  https://doi.org/10.1007/s11192-007-1798-5 CrossRefGoogle Scholar

Copyright information

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

Authors and Affiliations

  1. 1.Key Laboratory of Efficient Utilization of Low and Medium Grade Energy, School of Environmental Science and EngineeringTianjin UniversityTianjinChina
  2. 2.Global Research Center for Environment and Energy based on Nanomaterials ScienceNational Institute for Materials ScienceTsukubaJapan
  3. 3.Brook Byers Institute for Sustainable Systems, School of Civil and Environmental EngineeringGeorgia Institute of TechnologyAtlantaUSA
  4. 4.Department of Chemical and Biomolecular EngineeringUniversity of CaliforniaLos AngelesUSA
  5. 5.College of Management and EconomicsTianjin UniversityTianjinChina
  6. 6.Center for Energy & Environmental Policy ResearchInstitute of Policy and Management, Chinese Academy of SciencesBeijingChina

Personalised recommendations