Drought assessment of China in 2002-2017 based on a comprehensive drought index
文献类型:期刊论文
作者 | Xu, Yuyue1,2,4,5; Zhu, Xiaoyun1,2,5; Cheng, Xing1,2,5; Gun, Zhao1,2,5; Lin, Jing1,2,5; Zhao, Jianwei1,2,5; Yao, Ling3; Zhou, Chenghu3 |
刊名 | AGRICULTURAL AND FOREST METEOROLOGY
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出版日期 | 2022-05-15 |
卷号 | 319页码:14 |
关键词 | Drought GRACE Drought index China |
ISSN号 | 0168-1923 |
DOI | 10.1016/j.agrformet.2022.108922 |
通讯作者 | Yao, Ling(yaoling@lreis.ac.cn) |
英文摘要 | Drought, as an extreme natural disaster event, can cause or exacerbate water, food, and national security hazards. However, because of differences in the regional characteristics and applicability of drought indices, a more comprehensive drought index is necessary for drought assessment over large areas. Here, we propose a new detrended combined climatologic deviation index (Detrended-CCDI), and monitor drought over China from 2002 to 2017 on the basis of pixels on pixels by Detrended-CCDI. Results show that Detrended-CCDI has recorded monthly drought distribution results for China from April 2002 to June 2017, which are similar to those recorded by the Gravity Recovery and Climate Experiment - Drought Severity Index (GRACE-DSI), the Palmer Drought Severity Index (PDSI), the Standardized Precipitation-Evapotranspiration Index (SPEI), and the China Flood and Drought Disaster Bulletin. Detrended-CCDI has a good drought monitoring capability and captures drought recovery more quickly. Three main drought characteristics identified by Detrended-CCDI is similar to those demonstrated by other indices. The drought trend obtained by Detrended-CCDI is similar to that obtained by GRACE-DSI, but is more accurate and can detect more trends associated with becoming wetter or drier than PDSI and SPEI. The drought frequency obtained using Detrended-CCDI was lower than those identified by other indices, due to Detrended-CCDI combines all water layer and precipitation data. The regional drought events obtained by Detrended-CCDI and GRACE-DSI were almost identical (kappa average > 0.8), higher than those obtained by other indices. Our findings provide scientific guidance for drought monitoring and assessment over China. |
WOS关键词 | TERRESTRIAL WATER STORAGE ; YANGTZE-RIVER BASIN ; HYDROLOGICAL DROUGHT ; SATELLITE-OBSERVATIONS ; GRIDDED DATASET ; SEVERITY INDEX ; SOIL-MOISTURE ; GRACE ; PRECIPITATION ; DEFICIT |
资助项目 | Program for National Natural Science Foundation of China[41671423] ; Fundamental Research Funds for the Central Universities[0209-14380093] ; Fundamental Research Funds for the Central Universities[0209-14380097] ; Frontiers Science Center for Critical Earth Material Cycling Fund[JBGS2102] ; Ministry Science and Technology Development of China-Data Sharing Infrastructure of Earth System Science[2005DKA32300] |
WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
语种 | 英语 |
WOS记录号 | WOS:000795691600002 |
出版者 | ELSEVIER |
资助机构 | Program for National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities ; Frontiers Science Center for Critical Earth Material Cycling Fund ; Ministry Science and Technology Development of China-Data Sharing Infrastructure of Earth System Science |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/176957] ![]() |
专题 | 资源与环境信息系统国家重点实验室_外文论文 |
通讯作者 | Yao, Ling |
作者单位 | 1.Nanjing Univ, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Nanjing 210023, Peoples R China 2.Nanjing Univ, Frontiers Sci Ctr Crit Earth Mat Cycling, Nanjing 210023, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 4.Natl Sci & Technol Infrastructure China, Natl Earth Syst Sci Data Ctr, Beijing 100101, Peoples R China 5.Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Jiangsu, Peoples R China |
推荐引用方式 GB/T 7714 | Xu, Yuyue,Zhu, Xiaoyun,Cheng, Xing,et al. Drought assessment of China in 2002-2017 based on a comprehensive drought index[J]. AGRICULTURAL AND FOREST METEOROLOGY,2022,319:14. |
APA | Xu, Yuyue.,Zhu, Xiaoyun.,Cheng, Xing.,Gun, Zhao.,Lin, Jing.,...&Zhou, Chenghu.(2022).Drought assessment of China in 2002-2017 based on a comprehensive drought index.AGRICULTURAL AND FOREST METEOROLOGY,319,14. |
MLA | Xu, Yuyue,et al."Drought assessment of China in 2002-2017 based on a comprehensive drought index".AGRICULTURAL AND FOREST METEOROLOGY 319(2022):14. |
入库方式: OAI收割
来源:地理科学与资源研究所
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