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

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 dama...

Full description

Bibliographic Details
Main Authors: Yong-xiang CHENG, Jing-feng HUANG, Zhong-ling HAN, Jian-ping GUO, Yan-xia ZHAO, Xiu-zhen WANG, Rui-fang GUO
Format: Article
Language:English
Published: Elsevier 2013-02-01
Series:Journal of Integrative Agriculture
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S209531191360235X
id doaj-668854a9492847c5b3e114243cabf0e6
record_format Article
spelling doaj-668854a9492847c5b3e114243cabf0e62021-06-07T06:48:20ZengElsevierJournal of Integrative Agriculture2095-31192013-02-01122352363Cold Damage Risk Assessment of Double Cropping Rice in Hunan, ChinaYong-xiang CHENG0Jing-feng HUANG1Zhong-ling HAN2Jian-ping GUO3Yan-xia ZHAO4Xiu-zhen WANG5Rui-fang GUO6Institute of Remote Sensing and Information Application, Zhejiang University, Hangzhou 310058, P.R. China; 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; College of Life Science, Shihezi University, Shihezi 832000, P.R. China; CHENG Yong-xiang, Mobile: 15088687895Institute of Remote Sensing and Information Application, Zhejiang University, Hangzhou 310058, P.R. China; 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; The Provinical Key Laboratory of Agricultural Remote Sensing and Information System, Zhejiang Province, Hangzhou 310058, P.R. China; Correspondence HUANG Jing-feng, Mobile: 13957171636Institute of Information and Technology, Shihezi University, Shihezi 832000, P.R. ChinaChinese Academy of Meteorological Science, Beijing 100875, P.R. ChinaChinese Academy of Meteorological Science, Beijing 100875, P.R. ChinaInstitute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou 311121, P.R. ChinaInstitute of Remote Sensing and Information Application, Zhejiang University, Hangzhou 310058, P.R. ChinaCombined 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.http://www.sciencedirect.com/science/article/pii/S209531191360235Xdouble cropping ricecold damagerisk assessment
collection DOAJ
language English
format Article
sources DOAJ
author Yong-xiang CHENG
Jing-feng HUANG
Zhong-ling HAN
Jian-ping GUO
Yan-xia ZHAO
Xiu-zhen WANG
Rui-fang GUO
spellingShingle Yong-xiang CHENG
Jing-feng HUANG
Zhong-ling HAN
Jian-ping GUO
Yan-xia ZHAO
Xiu-zhen WANG
Rui-fang GUO
Cold Damage Risk Assessment of Double Cropping Rice in Hunan, China
Journal of Integrative Agriculture
double cropping rice
cold damage
risk assessment
author_facet Yong-xiang CHENG
Jing-feng HUANG
Zhong-ling HAN
Jian-ping GUO
Yan-xia ZHAO
Xiu-zhen WANG
Rui-fang GUO
author_sort Yong-xiang CHENG
title Cold Damage Risk Assessment of Double Cropping Rice in Hunan, China
title_short Cold Damage Risk Assessment of Double Cropping Rice in Hunan, China
title_full Cold Damage Risk Assessment of Double Cropping Rice in Hunan, China
title_fullStr Cold Damage Risk Assessment of Double Cropping Rice in Hunan, China
title_full_unstemmed Cold Damage Risk Assessment of Double Cropping Rice in Hunan, China
title_sort cold damage risk assessment of double cropping rice in hunan, china
publisher Elsevier
series Journal of Integrative Agriculture
issn 2095-3119
publishDate 2013-02-01
description 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.
topic double cropping rice
cold damage
risk assessment
url http://www.sciencedirect.com/science/article/pii/S209531191360235X
work_keys_str_mv AT yongxiangcheng colddamageriskassessmentofdoublecroppingriceinhunanchina
AT jingfenghuang colddamageriskassessmentofdoublecroppingriceinhunanchina
AT zhonglinghan colddamageriskassessmentofdoublecroppingriceinhunanchina
AT jianpingguo colddamageriskassessmentofdoublecroppingriceinhunanchina
AT yanxiazhao colddamageriskassessmentofdoublecroppingriceinhunanchina
AT xiuzhenwang colddamageriskassessmentofdoublecroppingriceinhunanchina
AT ruifangguo colddamageriskassessmentofdoublecroppingriceinhunanchina
_version_ 1721392509403267072