A composite drought index developed for detecting large-scale drought characteristics
文献类型：期刊论文
| 作者 | Faiz, Muhammad Abrar3; Zhang, Yongqiang3; Zhang, Xuanze3; Ma, Ning3; Aryal, Santosh K.4; Trinh Thi Viet Ha5; Baig, Faisal1,6; Naz, Farah2 |
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2022-02-01 |
| 卷号 | 605页码:12 |
| 关键词 | Composite drought index PDSI SPI Drought Precipitation |
| ISSN号 | 0022-1694 |
| DOI | 10.1016/j.jhydrol.2021.127308 |
| 通讯作者 | Zhang, Yongqiang(yongqiang.zhang2014@gmail.com) |
| 英文摘要 | Numerous studies have projected that drought will become more severe under changing climatic conditions which will have a profound impact on terrestrial ecosystems around the world. While a wide range of drought indices has been extensively applied to assess droughts, various issues have been raised, such as over- or underestimation of drought conditions, feature extraction techniques, or transformations used to develop the indices. In this study, a new composite drought index (CDI) was developed using the integration of potential and actual evapotranspiration, climatic water balance, and precipitation. The proposed CDI was evaluated by comparing it with soil moisture, Palmer Drought Severity Index (PDSI), scaled crop yield index (sCYI), evaluation integrated drought index (EIDI), and standardized runoff index (SRI) in China. Our results demonstrate that together with PDSI, CDI performs well in monitoring drought over 2417 grid cells obtained from in-situ latitude and longitude. It was found that CDI performs better than the PDSI and EIDI for reliable soil moisture detection and stable drought monitoring in the study area. Compared to PDSI, CDI shows a more positive correlation with sCYI for seasonal maize and wheat. CDI has less false alarm ratio in the detection of mild to extreme drought events compared to PDSI. |
| WOS关键词 | STANDARDIZED PRECIPITATION INDEX ; DIFFERENT TIME-SCALES ; AGRICULTURAL DROUGHT ; TERRESTRIAL EVAPOTRANSPIRATION ; SPATIOTEMPORAL PATTERNS ; HYDROLOGICAL RESPONSE ; PROJECTED CHANGES ; EXTREME DROUGHT ; CHINA ; MODIS |
| 资助项目 | CAS-CSIRO International Collaboration Project for Drought Propagation, CAS President's International Fellowship Initiative (PIFI)[2020PE0048] ; CAS Talents Program ; Climate Change Initiative Soil Moisture (European Space Agency) |
| WOS研究方向 | Engineering ; Geology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000752499500003 |
| 出版者 | ELSEVIER |
| 资助机构 | CAS-CSIRO International Collaboration Project for Drought Propagation, CAS President's International Fellowship Initiative (PIFI) ; CAS Talents Program ; Climate Change Initiative Soil Moisture (European Space Agency) |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/170450]  |
| 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.United Arab Emirates Univ, Natl Water & Energy Ctr, Al Ain, U Arab Emirates 2.Khawaja Fareed Univ, Dept Civil Engn, Rahim Yar Khan, Pakistan 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 4.CSIRO Land & Water, GPOB 1777, Canberra, ACT 2601, Australia 5.Northeast Agr Univ, Harbin 150030, Peoples R China 6.United Arab Emirates Univ, Dept Civil & Environm Engn, Al Ain, U Arab Emirates |
| 推荐引用方式 GB/T 7714 | Faiz, Muhammad Abrar,Zhang, Yongqiang,Zhang, Xuanze,et al. A composite drought index developed for detecting large-scale drought characteristics[J]. JOURNAL OF HYDROLOGY,2022,605:12. |
| APA | Faiz, Muhammad Abrar.,Zhang, Yongqiang.,Zhang, Xuanze.,Ma, Ning.,Aryal, Santosh K..,...&Naz, Farah.(2022).A composite drought index developed for detecting large-scale drought characteristics.JOURNAL OF HYDROLOGY,605,12. |
| MLA | Faiz, Muhammad Abrar,et al."A composite drought index developed for detecting large-scale drought characteristics".JOURNAL OF HYDROLOGY 605(2022):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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