Literature DB >> 27783347

Drought trends based on the VCI and its correlation with climate factors in the agricultural areas of China from 1982 to 2010.

Xiaojin Qian1,2, Liang Liang3,4, Qiu Shen1, Qin Sun1, Lianpeng Zhang1, Zhixiao Liu5, Shuhe Zhao6, Zhihao Qin6.   

Abstract

Drought is a type of natural disaster that has the most significant impacts on agriculture. Regional drought monitoring based on remote sensing has become popular due to the development of remote sensing technology. In this study, vegetation condition index (VCI) data recorded from 1982 to 2010 in agricultural areas of China were obtained from advanced very high resolution radiometer (AVHRR) data, and the temporal and spatial variations in each drought were analyzed. The relationships between drought and climate factors were also analyzed. The results showed that from 1982 to 2010, the agricultural areas that experienced frequent and severe droughts were mainly concentrated in the northwestern areas and Huang-Huai Plain. Moreover, the VCI increased in the majority of agricultural areas, indicating that the drought frequency decreased over time, and the decreasing trend in the southern region was more notable than that in the northern region. A correlation analysis showed that temperature and wind velocity were the main factors that influenced drought in the agricultural areas of China. From a regional perspective, excluding precipitation, the climate factors had various effects on drought in different regions. However, the correlation between the VCI and precipitation was low, possibly due to the widespread use of artificial irrigation technology, which reduces the reliance of agricultural areas on precipitation.

Keywords:  Agricultural area; Climate factor; Correlation coefficient; Drought; VCI

Mesh:

Year:  2016        PMID: 27783347     DOI: 10.1007/s10661-016-5657-9

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  1 in total

1.  [Correlation analysis on normalized difference vegetation index (NDVI) of different vegetations and climatic factors in Southwest China].

Authors:  Yuan-Dong Zhang; Xiao-He Zhang; Shi-Rong Liu
Journal:  Ying Yong Sheng Tai Xue Bao       Date:  2011-02
  1 in total
  2 in total

1.  Probability assessment of vegetation vulnerability to drought based on remote sensing data.

Authors:  Esmail Heydari Alamdarloo; Maliheh Behrang Manesh; Hassan Khosravi
Journal:  Environ Monit Assess       Date:  2018-11-08       Impact factor: 2.513

2.  Analysis of flood inundation in ungauged basins based on multi-source remote sensing data.

Authors:  Wei Gao; Qiu Shen; Yuehua Zhou; Xin Li
Journal:  Environ Monit Assess       Date:  2018-02-09       Impact factor: 2.513

  2 in total

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