Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/joc.6196 |
An ensemble procedure for pattern recognition of regional drought | |
Ali, Zulfiqar1; Hussain, Ijaz1; Faisal, Muhammad2,3; Shad, Muhammad Yousuf1; Elashkar, Elsayed E.4; Gani, Showkat5 | |
2019-07-01 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY |
ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2019 |
文章类型 | Article;Early Access |
语种 | 英语 |
国家 | Pakistan; England; Saudi Arabia |
英文摘要 | Drought being a complex natural hazard is challenging to monitor. Although standardized procedures for drought characterization are commonly used, the uncertainty about accurate drought characterization under various procedures always exists. Therefore, for effective drought mitigation policies, it is necessary to compare the performance of new and the existing drought procedures. In this study, we proposed a new procedure-The Drought Intensity Pattern Determinate (DIPD) to examine and compare the spatial-temporal intensities of various drought episodes based on Standardized Drought Indices (SDI). The DIPD framework provides a new tool-The Drought Concentration Index (DCI) to understand the annual intensity of drought classes by alluding the observed frequencies of drought episodes. At the preliminary level of assessment, DIPD is employed at 52 meteorological stations of Pakistan, and compared three commonly used standardized drought indices: Standardized Precipitation Index (SPI), Standardized Evapotranspiration Index (SPEI) and Standardized Precipitation Temperature Index (SPTI). Exploratory analysis shows a mixed picture as all the drought indices behaving similar for some patterns of drought classes, while some classes show significant discrepancies. In addition, we assessed and compared the spatial distributions using spatial Poisson lognormal model by assuming SDI as a non-Gaussian process for individual total classes of observed DCI. Results show that the proposed method has ability to incorporate the inner variability in patterns of drought classes. In summary, the DIPD provided a new regional based comparative framework, which accounts the all possible episodes of drought classes and effect of inner discrepancies among quantitative values of SDI. |
英文关键词 | drought Drought Concentration Index pattern spatial distribution uncertainty |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000474051500001 |
WOS关键词 | SPATIOTEMPORAL PATTERNS ; WET CONDITIONS ; RIVER-BASIN ; INDEXES ; PREDICTION ; DRY |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/184667 |
专题 | 气候变化 |
作者单位 | 1.Quaid I Azam Univ, Dept Stat, Islamabad, Pakistan; 2.Univ Bradford, Fac Hlth Studies, Bradford, W Yorkshire, England; 3.Bradford Teaching Hosp NHS Fdn Trust, Bradford Inst Hlth Res, Bradford, W Yorkshire, England; 4.King Saud Univ, Arriyadh Community Coll, Riyadh, Saudi Arabia; 5.King Saud Univ, Coll Bussiness Adm, Riyadh, Saudi Arabia |
推荐引用方式 GB/T 7714 | Ali, Zulfiqar,Hussain, Ijaz,Faisal, Muhammad,et al. An ensemble procedure for pattern recognition of regional drought[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2019. |
APA | Ali, Zulfiqar,Hussain, Ijaz,Faisal, Muhammad,Shad, Muhammad Yousuf,Elashkar, Elsayed E.,&Gani, Showkat.(2019).An ensemble procedure for pattern recognition of regional drought.INTERNATIONAL JOURNAL OF CLIMATOLOGY. |
MLA | Ali, Zulfiqar,et al."An ensemble procedure for pattern recognition of regional drought".INTERNATIONAL JOURNAL OF CLIMATOLOGY (2019). |
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