Time series analysis for droughts characteristics response to propagation
文献类型：期刊论文
| 作者 | Faiz, Muhammad Abrar5; Zhang, Yongqiang1,5; Tian, Xiaoqiang4; Zhang, Xuanze5; Ma, Ning5; Aryal, Santosh3; Naz, Farah2 |
| 刊名 | INTERNATIONAL JOURNAL OF CLIMATOLOGY
 |
| 出版日期 | 2022-12-05 |
| 页码 | 15 |
| 关键词 | Hai River hydrological drought meteorological drought precipitation soil moisture Yellow River |
| ISSN号 | 0899-8418 |
| DOI | 10.1002/joc.7933 |
| 通讯作者 | Zhang, Yongqiang(zhangyq@igsnrr.ac.cn) |
| 英文摘要 | Understanding and exploring hydrological (H) or soil moisture (SM) drought due to meteorological (M) drought under changing climate is crucial for drought early warning. Previously, different methods were used to calculate drought propagation from one state (M to another [H or SM]). However, each method has its pros and cons and thus cannot describe appropriate propagation attributes. In this study, a time series analysis is carried out to explore the propagation process in the Yellow River Basin (YRB) and Hai River Basin (HRB) of China. Standardized Streamflow Index (SSI), Standardized SM Index (SSMI), and Standardized Precipitation Index (SPI) 1-month time series were calculated using streamflow, satellite-based SM, and precipitation from 1979 to 2016. The time series framework identifies the average drought propagation as 3.4-8.3 months (M-H) and 2.3-5 months (M-SM) in YRB, while 2.8-7.7 months (M-H) and 2.3-8.5 months (M-SM) in HRB. Cross-wavelet analysis indicated that periodic characteristics of M drought are responsible for these droughts. Overall, the findings of this study may help to minimize the drought hazards posed by M droughts. |
| WOS关键词 | HYDROLOGICAL DROUGHT ; RIVER-BASIN ; METEOROLOGICAL DROUGHT ; CHINA ; IMPACT ; PRECIPITATION ; STREAMFLOW ; SCALES ; YIELD |
| 资助项目 | CAS President's International Fellowship Initiative (PIFI) ; CAS Talents Program ; CAS-CSIRO Drought Propagation International Collaboration Project ; Science for a Better Development ofInner MongoliaProject of the Bureau ofScience and Technology of InnerMongolia Province[42150410388] ; DroughtMonitoring for West Erdos Project of theBureau of Science and Technology of theErdos ; Research Fund for InternationalYoung Scientists, National Natural ScienceFoundation of China ; [2020PE0048] ; [KJXM-EEDS-2020005] |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000897527000001 |
| 出版者 | WILEY |
| 资助机构 | CAS President's International Fellowship Initiative (PIFI) ; CAS Talents Program ; CAS-CSIRO Drought Propagation International Collaboration Project ; Science for a Better Development ofInner MongoliaProject of the Bureau ofScience and Technology of InnerMongolia Province ; DroughtMonitoring for West Erdos Project of theBureau of Science and Technology of theErdos ; Research Fund for InternationalYoung Scientists, National Natural ScienceFoundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/188135]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Yongqiang |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.Khawaja Fareed Univ, Dept Civil Engn, Rahim Yar Khan, Pakistan 3.CSIRO Land & Water, Canberra, Australia 4.Flood & Drought Disaster Prevent Technol Ctr Ordos, Ordos, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Faiz, Muhammad Abrar,Zhang, Yongqiang,Tian, Xiaoqiang,et al. Time series analysis for droughts characteristics response to propagation[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2022:15. |
| APA | Faiz, Muhammad Abrar.,Zhang, Yongqiang.,Tian, Xiaoqiang.,Zhang, Xuanze.,Ma, Ning.,...&Naz, Farah.(2022).Time series analysis for droughts characteristics response to propagation.INTERNATIONAL JOURNAL OF CLIMATOLOGY,15. |
| MLA | Faiz, Muhammad Abrar,et al."Time series analysis for droughts characteristics response to propagation".INTERNATIONAL JOURNAL OF CLIMATOLOGY (2022):15. |
入库方式： OAI收割
来源：地理科学与资源研究所
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