Natural Hazards

, Volume 85, Issue 1, pp 597–604 | Cite as

Tornado hazards on June 23 in Jiangsu Province, China: preliminary investigation and analysis

  • Hai-Min Lyu
  • Guo-Fu Wang
  • Wen-Chieh Cheng
  • Shui-Long Shen
Original Paper


This paper reported a tornado hazard happened on June 23, 2016, in Yancheng city, Jiangsu Province. The moving footprint of this huge tornado was from west to east. Shuoji, Chenliang, Goudun, Banhu, Xingou, Wutan towns in Funing district and Sheyang town in Sheyang district were severely hit by this tornado. This tornado along with rainstorm and hailstorm had claimed 99 lives and caused more than 3800 flats to collapse as well as damaged 48 high-voltage circuits. As the cold air from northwest met the subtropical high pressure system that forms over relatively cool water bodies (i.e., Indian and Pacific Oceans), such a powerful meteorological phenomenon was initiated. The strong connective airflow intensified the development of this tornado. Based on the preliminary investigation and analysis of this tornado, cost-effective timber structures with adequate anchorage of the framing to foundations and adequate connection between walls and roofs may be recommended to ensure occupants safety and reduce potential damage in these extreme wind events. Additionally, it is suggested to utilize early warning system along with geographical information system (GIS), Global Positioning System (GPS), and remote sensing (RS) (3S) to monitor and precast the occurrence of rainfall, hailstorm, and tornado hazards in future.


Tornado Report Investigation Countermeasures Jiangsu Province 



The research work described herein is funded by the National Nature Science Foundation of China (NSFC) (Grant No. 41672259) and the Shandong Nature Science Foundation (SNSF) with Grant Nos. ZR2014EEM029 and ZR2014EEQ028. These financial supports are gratefully acknowledged.


  1. Ashley WS (2007) Spatial and temporal analysis of tornado fatalities in the United States: 1880–2005. Weather Forecast 22(6):1214–1228CrossRefGoogle Scholar
  2. Ashley WS, Strader S, Rosencrants T, Krmenec AJ (2014) Spatiotemporal changes in tornado hazard exposure: the case of the expanding bull’s-eye effect in Chicago, Illinois. Weather Clim Soc 6(2):175–193CrossRefGoogle Scholar
  3. Brooks HE (2004) On the relationship of tornado path length and width to intensity. Weather Forecast 19(2):310–319CrossRefGoogle Scholar
  4. Brooks HE, Doswell CA, Kay MP (2003) Climatological estimates of local daily tornado probability for the United States. Weather Forecast 18(4):626–640CrossRefGoogle Scholar
  5. Huang ZH, Fan XG, Cai LP, Shi SQ (2016) Tornado hazard for structural engineering. Nat Hazards. Published online 30 May 2016Google Scholar
  6. Jauernic ST, Van Den Broeke MS (2016) Perceptions of tornadoes, tornado risk, and tornado safety actions and their effects on warning response among Nebraska undergraduates. Nat Hazards 80(1):329–350CrossRefGoogle Scholar
  7. Ni JC, Cheng WC, Ge L (2011) A case history of field pumping tests in a deep gravel formation in the Taipei Basin, Taiwan. Eng Geol 117(1–2):17–28CrossRefGoogle Scholar
  8. Ni JC, Cheng WC, Ge L (2013) A simple data reduction method for pumping tests with tidal, partial penetration, and storage effects. Soils Found 53(6):894–902CrossRefGoogle Scholar
  9. Ren DJ, Shen SL, Cheng WC, Zhang N, Wang ZF (2016) Geological formation and geo-hazards during subway construction in Guangzhou. Environ Earth Sci 75(11):1–14CrossRefGoogle Scholar
  10. Rosencrants TD, Ashley WS (2015) Spatiotemporal analysis of tornado exposure in five US metropolitan areas. Nat Hazards 78(1):121–140CrossRefGoogle Scholar
  11. Shen GQ, Hwang SN (2015) A spatial risk analysis of tornado-induced human injuries and fatalities in the USA. Nat Hazards 77:1223–1242CrossRefGoogle Scholar
  12. Shen SL, Xu YS (2011) Numerical evaluation of land subsidence induced by groundwater pumping in Shanghai. Can Geotech J 48(9):1378–1392CrossRefGoogle Scholar
  13. Shen SL, Ma L, Xu YS, Yin ZY (2013) Interpretation of increased deformation rate in aquifer IV due to groundwater pumping in Shanghai. Can Geotech J 50(11):1129–1142CrossRefGoogle Scholar
  14. Shen SL, Wu HN, Cui YJ, Yin ZY (2014) Long-term settlement behavior of the metro tunnel in Shanghai. Tunn Undergr Space Technol 40:309–323CrossRefGoogle Scholar
  15. Shen SL, Wang JP, Wu HN, Xu YS, Ye GL (2015) Evaluation of hydraulic conductivity for both marine and deltaic deposits based on piezocone testing. Ocean Eng 110:174–182CrossRefGoogle Scholar
  16. Shen SL, Cui QL, Ho EC, Xu YS (2016) Ground response to multiple parallel microtunneling operations in cemented silty clay and sand. J Geotech Geoenviron Eng 142(5):04016001(1–11). doi: 10.1061/(ASCE)GT.1943-5606.0001441 CrossRefGoogle Scholar
  17. Van Den Broeke MS, Jauernic ST (2014) Spatial and temporal characteristics of polarimetric tornadic debris signatures. J Appl Meteorol Climatol 53(10):2217–2231CrossRefGoogle Scholar
  18. Wu YX, Shen SL, Xu YS, Yin ZY (2015a) Characteristics of groundwater seepage with cutoff wall in gravel aquifer. I: field observations. Can Geotech J 52(10):1526–1538Google Scholar
  19. Wu YX, Shen SL, Yin ZY, Xu YS (2015b) Characteristics of groundwater seepage with cutoff wall in gravel aquifer. II: numerical analysis. Can Geotech J 52(10):1539–1549Google Scholar
  20. Wu YX, Shen SL, Wu HN, Xu YS, Yin ZY, Sun WJ (2015c) Environmental protection using dewatering technology in a deep confined aquifer beneath a shallow aquifer. Eng Geol 196(2015):59–70CrossRefGoogle Scholar
  21. Wu HN, Shen SL, Liao SM, Yin ZY (2015d) Longitudinal structural modelling of shield tunnels considering shearing dislocation between segmental rings. Tunn Undergr Space Technol 50(2015):317–323CrossRefGoogle Scholar
  22. Xu YS, Ma L, Shen SL, Sun WJ (2012) Evaluation of land subsidence by considering underground structures that penetrate the aquifers of Shanghai, China. Hydrogeol J 20(8):1623–1634CrossRefGoogle Scholar
  23. Xu YS, Yuan Y, Shen SL, Yin ZY, Wu HN, Ma L (2015) Investigation into subsidence hazards due to groundwater pumping from Aquifer II in Changzhou, China. Nat Hazards 78(1):281–296CrossRefGoogle Scholar
  24. Yin ZY, Jin YF, Shen SL, Huang HW (2016a) An efficient optimization method for identifying parameters of soft structured clay by an enhanced genetic algorithm and elastic viscoplastic model. Acta Geotechnica. doi: 10.1007/s11440-016-0486-0 Google Scholar
  25. Yin ZY, Jin YF, Huang HW, Shen SL (2016b) Evolutionary polynomial regression based modelling of clay compressibility using an enhanced hybrid real-coded genetic algorithm. Eng Geol 210(5):158–167. doi: 10.1016/j.enggeo.2016.06.016 CrossRefGoogle Scholar
  26. Yin ZY, Hicher PY, Dano C, Jin YF (2016c) Modeling the mechanical behavior of very coarse granular materials. J Eng Mech ASCE. doi: 10.1061/(ASCE)EM.1943-7889.0001059 Google Scholar
  27. Yu Y, Li JL, Xie J, Liu C (2016) Climatic characteristics of thunderstorm days and the influence of atmospheric environment in Northwestern China. Nat Hazards 80:823–838CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  1. 1.State Key Laboratory of Ocean Engineering and Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration (CISSE), Department of Civil EngineeringShanghai Jiao Tong UniversityShanghaiChina
  2. 2.Jinan Rail Transit Group Co., Ltd.JinanChina
  3. 3.College of Architecture and Civil EngineeringShandong University of Science and TechnologyQingdaoChina

Personalised recommendations