Skip to main content

Advertisement

Log in

Quantitative assessment and spatial characteristics analysis of agricultural drought vulnerability in China

  • Original Paper
  • Published:
Natural Hazards Aims and scope Submit manuscript

Abstract

In this study, the spatial characteristics of agricultural drought vulnerability in China were investigated using a GIS-based agricultural drought vulnerability assessment model, which was constructed by selecting three agricultural drought vulnerability factors. Seasonal crop water deficiency, available soil water-holding capacity and irrigation were identified as the main indicators of agricultural drought vulnerability in China. The study showed that the distribution of seasonal crop moisture deficiency showed significant differentiation in both north–south and east–west directions, and the agricultural drought vulnerability presented a similar trend. At a regional scale, southern and eastern China typically has a low- and moderate-vulnerability to drought, while high and very high vulnerability to agricultural drought is observed in northern and western China. In terms of China’s agricultural regions, the central part of the southwest region, the area between the southern Huang-Huai-Hai region and the northern part of the Middle and lower reaches of the Yangtze River region, and the northeast region are the areas of low agricultural drought vulnerability in China, while areas of high agricultural drought vulnerability are mainly located in the Inner Mongolia, Loess Plateau and Gan-Xin regions. Due to differences in the physical and social–economic conditions within the agricultural areas, vulnerability to agricultural drought exhibits substantial variability both between different agricultural regions and within the same region. The methodology of grid-cell-based agricultural drought vulnerability assessment, developed in this study, provides a foundation for better description of the differences in regional and even smaller scale.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Allen RG, Pereira LS, Raes D et al (1998) Crop evapotranspiration: guidelines for computing crop water requirement. FAO Irrigation and Drainage, Rome, p 56

    Google Scholar 

  • Bella S, Nemeth A, Szalai S (2005) Examination of drought vulnerability with GIS tools: Somogyi county case study. Gottinger Geographische Abhandlungen 113:209–217

    Google Scholar 

  • Blaikie P, Cannon T, Davis I, Wisner B (1994) At risk: natural hazards, people vulnerability, and disasters. Routledge Publisher, London and New York

    Google Scholar 

  • Chen Y (1995) Main crop water requirement and irrigation of China. Water Resources and Hydropower Press, Beijing

    Google Scholar 

  • Downing TE, Bakker K (2000) Drought discourse and vulnerability. In: Wilhite DA (ed) Drought: a global assessment, natural hazards and disasters series. Routledge Publishers, UK

    Google Scholar 

  • Fang X, He Y, Zhang W (1997) An EOF analysis on drought effect on agriculture in China during 1978–1994. J Nat Disasters 6(1):59–64

    Google Scholar 

  • Fu B (1991) Analysis of the geographical distribution and disastrous condition of drought in China. J Arid Land Resour Environ 5(4):1–7

    Google Scholar 

  • Gao Z (2006) Development and action of irrigation in China. J Econ Water Resour 24(1):36–39

    Google Scholar 

  • Hagman G (1984) Prevention better than cure. Report on human and environmental disasters in the third world. Swedish Red Cross, Stockholm. http://soils.usda.gov

  • Hutchinson MF (1991) The application of thin-plate smoothing splines to continent-wide data assimilation. In: Jasper JD (ed) Data assimilation systems, BMRC Res. report no. 27. Bureau of Meteorology, Melbourne, pp 104–113

    Google Scholar 

  • IPCC (2001) Climate change 2001: impacts, adaptation and vulnerability of climate change, working group II report. Cambridge University Press, London

    Google Scholar 

  • Kates RW (1985) The interaction of climate and society. In: Kates RW, Ausubel JH, Berberian M (eds) Climate impact assessment: studies of the interaction of climate and society. Wiley, Chichester

    Google Scholar 

  • Keenan SP, Krannich RS (1997) The social context of perceived drought vulnerability. Rural Sociol 62:69–88

    Google Scholar 

  • Kern JS (1995) Geographic patterns of soil water-holding capacity in the contiguous United States. Soil Sci Soc Amer 59:1126–1133

    Google Scholar 

  • Klocke NL, Hergert GW (1990) How soil holds water, new guide G90-964, INAR. University of Nebraska, Lincoln

    Google Scholar 

  • Knutson C, Hayes M, Phillips T (1998) How to reduce drought risk, western drought coordination council preparedness and mitigation group

  • Lei Z, Luo Y, Yang S, Shi X et al (1999) Calculation of crop coefficient with meteorological data. Tran Chin Soc Agric Eng 15(3):119–122

    Google Scholar 

  • Li K, Yin S, Sha W (1996) Characters of time-space of recent drought in China. Geogr Res 15(3):6–15

    Google Scholar 

  • Liu H, Kang Y (2006) Calculation of crop coefficient of winter wheat at elongation-heading stages. Trans Chin J Agric Eng 22(10):52–56

    Google Scholar 

  • Liu Y, Pereira LS (2000) Validation of FAO methods for estimating crop coefficients. Tran Chin Soc Agric Eng 16(5):26–30

    Google Scholar 

  • Liu C, Zhang X, You M (1998) Determination of daily evaporation and evapotranspiration of winter wheat field by large scale weighing lysimeter and micro lysimeter. J Hydraulic Eng 10:36–39

    Google Scholar 

  • Liu L, Liu S, Liu P et al (2002) Synthetic analysis and quantitative estimation of the agricultural vulnerability to drought disaster in Hunan Province. J Nat Disasters 11(4):78–83

    Google Scholar 

  • Liu M, Tang X, Zhuang D (2003) A new technique on spatial-temporal data fusion and construction of grid data platform. Geo-Inf Sci 4:63–68

    Google Scholar 

  • Liu LF, Guan X, Tang Y-S (2005) Vulnerability of agricultural drought and agricultural losses reduction during drought through implementation of ecological measures—A case study of Hengyang, Hu-nan Province. Bull Soil Water Conserv 25(2):69–73

    Google Scholar 

  • Marshall TJ (1979) Soil physics. Cambridge University Press, Cambridge

    Google Scholar 

  • NCAR (2005) Drought’s growing reach: NCAR study points to global warming as key factor. http://www.ucar.edu/news/releases/2005/drought_research.shtml

  • Pan Y, Gong D, Wang P (1996) A research on temporal-spatial characteristics of drought in China during 1949–1990. J Beijing Norm Univ 32(1):138–143

    Google Scholar 

  • Peng S, Ding J, Mao Z (2007) Estimation and verification of crop coefficient for water saving irrigation of late rice using the FAO-56 method. Trans Chin Soc Agric Eng 23(7):30–34

    Google Scholar 

  • Ribot JC, Najam A, Watson G (1996) Climate variation, vulnerability and sustainable development in the semi-arid tropics. In: Ribot JC, Magalhães AR, Panagides SS (eds) Climate variability, climate change and social vulnerability in the semi-arid tropics. Cambridge University Press, New York, pp 13–51

    Google Scholar 

  • Scotter DR (1981) Field capacity of water and soil available water. Soil Sci Am 45(5):852–855

    Google Scholar 

  • Shahid S, Behrawan H (2007) Drought risk assessment in the west part of Bangladesh. Nat Hazards 46:391–413

    Google Scholar 

  • Shang Y (1999) Agricultural drought disaster vulnerability assessment and the establishment of the correlation. J Hebei Norm Univ 23(3):420–428

    Google Scholar 

  • Shang Y (2000a) Causes analysis of the changes of agricultural drought disaster vulnerability in Hebei Province. J Nat Disasters 9(1):40–46

    Google Scholar 

  • Shang Y (2000b) The analysis of drought, agricultural drought disaster and the farmhouses vulnerability: taking the typical farmhouses of Xingtai County as an example. J Nat Disasters 9(2):55–61

    Google Scholar 

  • Shang Y, Shi P (1998) Discussion on the role of anthropogenic factors in the forming of agricultural drought disaster process. J Nat Disasters 7(4):35–43

    Google Scholar 

  • Shang Y, Huang D, Yang J (2006) Diagnosis and assessment of agricultural drought system’s vulnerability in irrigated area—taking Xingtai County of Hebei Province as an example. Areal Res Dev 25(5):117–121

    Google Scholar 

  • Smith RM (1986) Comparing traditional methods for selecting class intervals on choropleth maps. Prof Geogr 38(1):62–67

    Google Scholar 

  • Su Y, Li L, Wu Z-Z et al (2005) Analysis of hazard-affected body s vulnerability in formative process of agricultural drought: a case study on Dingcheng district in Hunan. J Nat Disasters 14(6):83–87

    Google Scholar 

  • Sun J, Liu Z, Zhang J et al (2002) Crop coefficients of spring wheat in Windy dust area. Trans Chin Soc Agric Eng 18(6):55–58

    Google Scholar 

  • Wang Y (1981) Affect of altitude to the two factors (δ/((δ+γ) and γ/((δ+γ) in Penman formula. Acta Meteorol Sin 39(4):503–506 (in Chinese)

    Google Scholar 

  • Wang L, Chen S, Hou G (1988) Revision of Penman formula by altitude to calculate potential evapotranspiration. Acta Meteorol Sini 46(3):381–383 (in Chinese)

    Google Scholar 

  • Wang J, Sun H, Xu W (2002) Spatio temporal change of drought disaster in China in recent 50 years. J Nat Disasters 11(2):1–6

    Google Scholar 

  • Wang J, Shang Y, Su Y et al (2005a) A vulnerability diagnosis of agricultural drought disasters and regional sustainable development in China. J Beijing Norm Univ 3:031–731 (Social Science Edition)

    Google Scholar 

  • Wang X, Liang W, Wen D (2005b) Analysis of paddy field evapotranspiration in North China and calculation of crop coefficient. Chin J Appl Ecol 16(1):69–72

    Google Scholar 

  • Wang J, Su Y, Shang Y (2006) Vulnerability identification and assessment of agriculture drought disaster in China. Adv Earth Sci 21(2):161–168

    Google Scholar 

  • Wilhelmi OV, Wilhite DA (2002) Assessing vulnerability to agricultural drought: a Nebraska case study. Nat Hazards 25:37–58

    Google Scholar 

  • Wilhite DA (1993) The enigma of drought, chapter 1. In: Wilhite DA (ed) Drought assessment, management, and planning: theory and case studies. Kluwer Academic Publishers, Boston, MA, pp 3–17

    Google Scholar 

  • Wilhite DA (2000) Drought as a natural hazard: concepts and definitions, chapter 1. In: Wilhite DA (ed) Drought: a global assessment, natural hazards and disasters series. Routledge Publishers, UK

    Google Scholar 

  • Wu S, Yin Y, Zheng D et al (2005) Aridity/humidity status of land surface in China during the last three decades. Sci China Ser D Earth Sci 48(9):1510–1518

    Google Scholar 

  • Yang X, Bouman BAM, Zhang Q et al (2006) Crop coefficient of aerobic rice in North China. Trans Chin Soc Agric Eng 22(2):37–41

    Google Scholar 

  • Yin Y, Wu S, Zheng D et al (2005) Regional difference of aridity/humidity conditions changeover China during the last thirty years. Chin Sci Bull 50(19):2226–2233

    Google Scholar 

  • Zhang F, Wang D, Qiu B (1987) China’s agricultural phrenology Atlas. Science Press, Beijing

    Google Scholar 

  • Zhang X, Chen S, Pei D et al (2002) Evapotranspiration, yield and crop coefficient of irrigated maize under straw mulch conditions. Prog Geogr 21(6):583–592

    Google Scholar 

  • Zuo D, Yixian W, Jiansui C (1993) Spatial distribution characteristics of solar radiation in China, Zuo Dakang’s geographical research papers in Chinese. Science Press, Beijing, pp 168–185

    Google Scholar 

Download references

Acknowledgments

Foundation: National Natural Science Foundation of China, No. NSFC40601091; National Science and Technology Support Program of China, No. 2006BAD20B02 and No. 2006BAC18B06.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jianjun Wu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wu, J., He, B., Lü, A. et al. Quantitative assessment and spatial characteristics analysis of agricultural drought vulnerability in China. Nat Hazards 56, 785–801 (2011). https://doi.org/10.1007/s11069-010-9591-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11069-010-9591-9

Keywords

Navigation