Journal of Integrative Agriculture ›› 2013, Vol. 12 ›› Issue (2): 352-363.DOI: 10.1016/S2095-3119(13)60235-X

• 论文 • 上一篇    下一篇

Cold Damage Risk Assessment of Double Cropping Rice in Hunan, China

 CHENG Yong-xiang, HUANG Jing-feng, HAN Zhong-ling, GUO Jian-ping, ZHAO Yan-xia, WANG Xiu-zhen , GUO Rui-fang   

  1. 1.Institute of Remote Sensing and Information Application, Zhejiang University, Hangzhou 310058, P.R.China
    2.Key Laboratory of Polluted Environment Remediation and Ecological Health, Ministry of Education/College of Natural Resources and Environmental Science, Zhejiang University, Hangzhou 310058, P.R.China
    3.College of Life Science, Shihezi University, Shihezi 832000, P.R.China
    4.The Provinical Key Laboratory of Agricultural Remote Sensing and Information System, Zhejiang Province, Hangzhou 310058, P.R.China
    5.Institute of Information and Technology, Shihezi University, Shihezi 832000, P.R.China
    6.Chinese Academy of Meteorological Science, Beijing 100875, P.R.China
    7.Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou 311121, P.R.China
  • 收稿日期:2012-04-05 出版日期:2013-02-01 发布日期:2013-02-06
  • 通讯作者: Correspondence HUANG Jing-feng, Mobile: 13957171636, E-mail: hjf@zju.edu.cn
  • 作者简介:CHENG Yong-xiang, Mobile: 15088687895, E-mail: chengyongxiang_613@163.com
  • 基金资助:

    This research was funded by the Key Technologies R&D Program of China during the 12th Five-Year Plan period (2011BAD32B01), the National Natural Science Foundation of China (40875070), the Research Fund for Doctoral Program of Higher Education, China (20100101110035).

Cold Damage Risk Assessment of Double Cropping Rice in Hunan, China

 CHENG Yong-xiang, HUANG Jing-feng, HAN Zhong-ling, GUO Jian-ping, ZHAO Yan-xia, WANG Xiu-zhen , GUO Rui-fang   

  1. 1.Institute of Remote Sensing and Information Application, Zhejiang University, Hangzhou 310058, P.R.China
    2.Key Laboratory of Polluted Environment Remediation and Ecological Health, Ministry of Education/College of Natural Resources and Environmental Science, Zhejiang University, Hangzhou 310058, P.R.China
    3.College of Life Science, Shihezi University, Shihezi 832000, P.R.China
    4.The Provinical Key Laboratory of Agricultural Remote Sensing and Information System, Zhejiang Province, Hangzhou 310058, P.R.China
    5.Institute of Information and Technology, Shihezi University, Shihezi 832000, P.R.China
    6.Chinese Academy of Meteorological Science, Beijing 100875, P.R.China
    7.Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou 311121, P.R.China
  • Received:2012-04-05 Online:2013-02-01 Published:2013-02-06
  • Contact: Correspondence HUANG Jing-feng, Mobile: 13957171636, E-mail: hjf@zju.edu.cn
  • About author:CHENG Yong-xiang, Mobile: 15088687895, E-mail: chengyongxiang_613@163.com
  • Supported by:

    This research was funded by the Key Technologies R&D Program of China during the 12th Five-Year Plan period (2011BAD32B01), the National Natural Science Foundation of China (40875070), the Research Fund for Doctoral Program of Higher Education, China (20100101110035).

摘要: Combined with remote sensing data and meteorological data, cold damage risk was assessed for planting area of double cropping rice (DCR) in Hunan Province, China. A new methodology of cold damage risk assessment was built that apply to grid and have clear hazard-affected body. Each station cold damage annual frequency and average annual intensity of cold damage was calculated by using 1951-2010 station daily mean temperature and simple cold damage identification index. On this basis, average annual cold damage risk index was obtained by their product. The spatial analysis models of cold damage risk index about double-season early rice (DSER) and double-season later rice (DSLR) were established respectively by the relation of average annual cold damage risk index and its geographic factors. Critical threshold of level of average annual cold damage risk index for DSER and DSLR were respectively divided by the correlative equation of cold damage annual frequency and average annual intensity of cold damage. 2001-2010 planting area of DCR, acquired by time series analysis of MOD09A1 8-d composite land surface reflectance product, was as target of assessment. The results show average annual intensity of cold damage is exponential function of cold damage annual frequency, average annual cold damage risk index is directly proportional to cold damage cumulant and cold damage annual frequency, and is inversely proportional to happen times of cold damage and the square of statistical time sequence length. Cold damage risk of DSER is higher than DSLR in Hunan Province. In the 10-yr stacking map, DCR planting in low risk area accounted for 11.92% of total extraction area, in moderate risk area accounted for 69.62%, in high risk area accounted for 18.46%. According to the cold damage risk assessment result, DCR production can be guided to reduce cold damage losses.

关键词: double cropping rice , cold damage , risk assessment

Abstract: Combined with remote sensing data and meteorological data, cold damage risk was assessed for planting area of double cropping rice (DCR) in Hunan Province, China. A new methodology of cold damage risk assessment was built that apply to grid and have clear hazard-affected body. Each station cold damage annual frequency and average annual intensity of cold damage was calculated by using 1951-2010 station daily mean temperature and simple cold damage identification index. On this basis, average annual cold damage risk index was obtained by their product. The spatial analysis models of cold damage risk index about double-season early rice (DSER) and double-season later rice (DSLR) were established respectively by the relation of average annual cold damage risk index and its geographic factors. Critical threshold of level of average annual cold damage risk index for DSER and DSLR were respectively divided by the correlative equation of cold damage annual frequency and average annual intensity of cold damage. 2001-2010 planting area of DCR, acquired by time series analysis of MOD09A1 8-d composite land surface reflectance product, was as target of assessment. The results show average annual intensity of cold damage is exponential function of cold damage annual frequency, average annual cold damage risk index is directly proportional to cold damage cumulant and cold damage annual frequency, and is inversely proportional to happen times of cold damage and the square of statistical time sequence length. Cold damage risk of DSER is higher than DSLR in Hunan Province. In the 10-yr stacking map, DCR planting in low risk area accounted for 11.92% of total extraction area, in moderate risk area accounted for 69.62%, in high risk area accounted for 18.46%. According to the cold damage risk assessment result, DCR production can be guided to reduce cold damage losses.

Key words: double cropping rice , cold damage , risk assessment