Abstract
Spatial and temporal changes in flood events in China are becoming increasingly important due to the rapid climate warming that is occurring. This study was conducted to consider changes in flood events and the factors affecting such changes. To accomplish this, China was divided into natural and social-economic flood regions: north China, northwest China, northeast China, southwest China, central China, east China, south China, and Taiwan, Hong Kong and Macau. Spatial and temporal changes in flood patterns were rebuilt during 1980–2009, and Fast Fourier Transform Filtering was then employed to stimulate the changes in floods during this period. The factors affecting flooding were then analyzed quantitatively. The results showed that, based on the time series for China as a whole, flooding was more serious during 1990–1999 than 1980–1989 and 2000–2009. However, in different regions, the trends in flooding differed greatly. Based on spatial changes, the areas hardest hit by floods were northeast China in the 1980s, northeast China, central China and east China in the 1990s, and central China after 2000. In China, the main flood-affecting factors were meteorological, ecological, population, water conservation facilities, and policy factors. However, the main affecting factors differed by region. Overall, the complex spatial and temporal features of flood variations and various affecting factors demand proper national and regional governmental action in the face of the changing flood patterns in China. The results of the present study provide valuable information to flood policymakers and flood disaster researchers.
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References
Bates PD, Anderson MG (1996) A preliminary investigation into the impact of initial conditions on flood inundation predictions using a time/space distributed sensitivity analysis. Catena 26(1–2):115–134. doi:10.1016/0341-8162(95)00041-0
Blackmore S (1999) Flood warnings. Nature 400(6743):398
Bureau CM (ed) (2010) Atlas of china disastrous weather and climate. China Meteorological Press, Beijing (in Chinese)
Byrnes PE, Storbeck JE (2000) Efficiency gains from regionalization: economic development in China revisited. Socioecon Plann Sci 34(2):141–154. doi:10.1016/s0038-0121(99)00022-1
Deng X-P, Shan L, Zhang H, Turner NC (2006) Improving agricultural water use efficiency in arid and semiarid areas of China. Agr Water Manage 80(1–3):23–40. doi:10.1016/j.agwat.2005.07.021
Ding Y, Zhang J (eds) (2009) Rainstorm and flood. China meteorological press, Beijing (in Chinese)
Feng Q, Wang A, Li J (1998) The variation of precipitation in time and space and heavy-rain flood disaster in China. J Nat Disasters 7(1):87–93 (in Chinese)
Garcia-Castellanos D, Estrada F, Jimenez-Munt I, Gorini C, Fernandez M, Verges J, De Vicente R (2009) Catastrophic flood of the Mediterranean after the Messinian salinity crisis. Nature 462(7274):778–781
Ge Q, Zhao M, Zhang X (2001) Statistical analysis about the changes of forest resource and precipitation in China over the past 50 years. J Nat Resour 16(5):413–419 (in Chinese)
Ge Y, Xu W, Gu ZH, Zhang YC, Chen L (2011) Risk perception and hazard mitigation in the Yangtze River Delta region, China. Nat Hazards 56(3):633–648
Hong Y, Adhikari P, Douglas KR, Kirschbaum DB, Gourley J, Adler R et al (2010) A digitized global flood inventory (1998–2008): compilation and preliminary results. Nat Hazards 55(2):405–422
Huang C (ed) (2004) Risk assessment of natural disasters. Science Press, Beijing (in Chinese)
Khatibi R (2011) Evolutionary systemic modelling of practices on flood risk. J Hydrol 401(1–2):36–52. doi:10.1016/j.jhydrol.2011.02.006
Kjeldsen TR, Smithers JC, Schulze RE (2002) Regional flood frequency analysis in the KwaZulu-Natal province, South Africa, using the index-flood method. J Hydrol 255(1–4):194–211. doi:10.1016/s0022-1694(01)00520-0
Lecce SA, Pavlowsky RT (2004) Spatial and temporal variations in the grain-size characteristics of historical flood plain deposits, Blue River, Wisconsin, USA. Geomorphology 61(3–4):361–371. doi:10.1016/j.geomorph.2004.01.008
Li J, Zheng S, Dong J (1998) Affecting factors of flood and the forecasts in Hunan. Disaster Reduct China 8(1):46–50 (in Chinese)
Luo C-Z (1987) Investigation and regionalization of historical floods in China. J Hydrol 96(1–4):41–51. doi:10.1016/0022-1694(87)90142-9
Martinez J-M, Le Toan T (2007) Mapping of flood dynamics and spatial distribution of vegetation in the Amazon floodplain using multitemporal SAR data. Remote Sens Environ 108(3):209–223. doi:10.1016/j.rse.2006.11.012
O’Connell DRH (2005) Nonparametric Bayesian flood frequency estimation. J Hydrol 313(1–2):79–96. doi:10.1016/j.jhydrol.2005.02.005
Ouarda TBMJ, Cunderlik JM, St-Hilaire A, Barbet M, Bruneau P, Bobée B (2006) Data-based comparison of seasonality-based regional flood frequency methods. J Hydrol 330(1–2):329–339. doi:10.1016/j.jhydrol.2006.03.023
Parajka J, Kohnová S, Bálint G, Barbuc M, Borga M, Claps P et al (2010) Seasonal characteristics of flood regimes across the Alpine–Carpathian range. J Hydrol 394(1–2):78–89. doi:10.1016/j.jhydrol.2010.05.015
Plate EJ (2002) Flood risk and flood management. J Hydrol 267(1–2):2–11. doi:10.1016/s0022-1694(02)00135-x
Posthumus H, Hewett CJM, Morris J, Quinn PF (2008) Agricultural land use and flood risk management: engaging with stakeholders in North Yorkshire. Agr Water Manage 95(7):787–798. doi:10.1016/j.agwat.2008.02.001
Qaiser K, Ahmad S, Johnson W, Batista J (2011) Evaluating the impact of water conservation on fate of outdoor water use: a study in an arid region. J Environ Manage 92(8):2061–2068. doi:10.1016/j.jenvman.2011.03.031
Renyi L, Nan L (2002) Flood area and damage estimation in Zhejiang, China. J Environ Manage 66(1):1–8. doi:10.1006/jema.2002.0544
Schiermeier Q (2011) Increased flood risk linked to global warming. Nature 470(7334):316
Tan HZ, Huang X, Zhou J, Yang TB, Benjamin A, Wen SW et al (2008) Flood hazard in Hunan province of China: an economic loss analysis. Nat Hazards 47(1):65–73
Treby EJ, Clark MJ, Priest SJ (2006) Confronting flood risk: implications for insurance and risk transfer. J Environ Manage 81(4):351–359. doi:10.1016/j.jenvman.2005.11.010
Urgeles R, Locat J, Schmitt T, Hughes Clarke JE (2002) The July 1996 flood deposit in the Saguenay Fjord, Quebec, Canada: implications for sources of spatial and temporal backscatter variations. Mar Geol 184(1–2):41–60. doi:10.1016/s0025-3227(01)00303-6
Wang B, Yang X, Zhang B (2009) Dynamics of ecosystem services in China during 1973–2003. J Zhejiang Forestry Col 26(5):714–721 (in Chinese)
Wang J, Liu YL, Chen ZL, Xu SY, Hu BB (2011) Fifty-year rainfall change and its effect on droughts and floods in Wenzhou, China. Nat Hazards 56(1):131–143
Xu H, Liu D, Wu H (2001) Environmental regionalization for the management of township and village enterprises in China. J Environ Manage 63(2):203–210. doi:10.1006/jema.2001.0449
Yu F, Chen Z, Ren X, Yang G (2009) Analysis of historical floods on the Yangtze River, China: Characteristics and explanations. Geomorphology 113(3–4):210–216. doi:10.1016/j.geomorph.2009.03.008
Zhang J, Li N (eds) (2007) Quantitative methods and applications of risk assessment and management on main meteorological disasters. Beijing Normal University Press, Beijing (in Chinese)
Zhang Q, Zhang W, Chen YD, Jiang T (2011) Flood, drought and typhoon disasters during the last half-century in the Guangdong province, China. Nat Hazards 57(2):267–278
Zheng S (1995) Comparative analysis of the distribution of flood disaster in China. Disaster Reduct China 5(3):32–35 (in Chinese)
Acknowledgments
We are grateful to the Knowledge Innovation Program of the Chinese Academy of Sciences (KZCX2-YW-Q03-01) and the National Key Technology R&D Program (2008BAK50B05) for providing funding. We thank the Climate Data Center of the National Meteorological Center of the China Meteorological Administration and Data Sharing Infrastructure of Earth System Science for providing data. We also thank Naomi Brodkey for her help in editing the paper. We would like to specially thank to the anonymous reviewers for valuable comments and suggestions, which considerably improved the quality of the paper.
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Nie, C., Li, H., Yang, L. et al. Spatial and temporal changes in flooding and the affecting factors in China. Nat Hazards 61, 425–439 (2012). https://doi.org/10.1007/s11069-011-9926-1
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DOI: https://doi.org/10.1007/s11069-011-9926-1