Rainfall Extremes: a Novel Modeling Approach for Regionalization | |
Qamar, Muhammad Uzair1; Azmat, Muhammad2; Shahid, Muhammad Adnan3; Ganora, Daniele4; Ahmad, Shakil5; Cheema, Muhammad Jehanzeb Masud1; Faiz, Muhammad Abrar6; Sarwar, Abid1; Shafeeque, Muhammad7; Khan, Muhammad Imran6 | |
刊名 | WATER RESOURCES MANAGEMENT |
2017-04-01 | |
卷号 | 31期号:6页码:1975-1994 |
关键词 | Rainfall extremes Precipitation TRMM3B42 Annual maxima Homogeneity test |
ISSN号 | 0920-4741 |
DOI | 10.1007/s11269-017-1626-5 |
通讯作者 | Azmat, Muhammad(azmat@igis.nust.edu.pk) |
英文摘要 | The rainfall events of extreme magnitude over the past few decades have caused destructive damages to lives and properties, especially in the subcontinent (e. g. Pakistan, India, Bangladesh etc). Rainfall hazard maps for these areas can be of great practical and theoretical interests. In our work, we used extreme value analysis and spatial interpolation techniques to provide such maps through a combination of the Tropical Rainfall MeasuringMission Precipitation (TRMM) 3B42 product and raingauge data. This mixed approach takes advantage of both the long time series available at a limited number of stations, and the large spatial coverage of the satellite data which, instead, has a poor temporal extent. The methodology is implemented by (1) creating a unique growth curve for the homogeneous region by utilizing in- situ rainfall data and (2) mapping the parameters of intensity- duration functions for the entire length of the study area by using TRMM 3B42 product. The regional results obtained by using mixed approach and TRMM 3B42 are compared with the estimates obtained by using in-situ data. The comparison showed that the overall output of mixed approach is more consistent with what transpired by in-situ data for a predefined return period. |
资助项目 | Higher Education Commission of Pakistan under Start-Up Research Grant for fresh PhD holders[969] |
WOS关键词 | CENTRAL SPANISH PYRENEES ; PRECIPITATION MAXIMA ; TRMM PRECIPITATION ; WESTERN HIMALAYAS ; SATELLITE DATA ; SNOW COVER ; GAUGE DATA ; FREQUENCY ; CLIMATE ; BASIN |
WOS研究方向 | Engineering ; Water Resources |
语种 | 英语 |
出版者 | SPRINGER |
WOS记录号 | WOS:000399025400015 |
资助机构 | Higher Education Commission of Pakistan under Start-Up Research Grant for fresh PhD holders |
内容类型 | 期刊论文 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/64583] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Azmat, Muhammad |
作者单位 | 1.Univ Agr Faisalabad, Fac Agr Engn & Technol, Dept Irrigat & Drainage, Faisalabad, Pakistan 2.Natl Univ Sci & Technol, Inst Geog Informat Syst, Sch Civil & Environm Engn, H-12, Islamabad 44000, Pakistan 3.Univ Agr Faisalabad, Water Management Res Ctr, Faisalabad, Pakistan 4.Politecn Torino, Dept Environm Land & Infrastruct Engn, Turin, Italy 5.Natl Univ Sci & Technol, Natl Inst Civil Engn, Islamabad, Pakistan 6.Northeast Agr Univ, Harbin, Peoples R China 7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Qamar, Muhammad Uzair,Azmat, Muhammad,Shahid, Muhammad Adnan,et al. Rainfall Extremes: a Novel Modeling Approach for Regionalization[J]. WATER RESOURCES MANAGEMENT,2017,31(6):1975-1994. |
APA | Qamar, Muhammad Uzair.,Azmat, Muhammad.,Shahid, Muhammad Adnan.,Ganora, Daniele.,Ahmad, Shakil.,...&Khan, Muhammad Imran.(2017).Rainfall Extremes: a Novel Modeling Approach for Regionalization.WATER RESOURCES MANAGEMENT,31(6),1975-1994. |
MLA | Qamar, Muhammad Uzair,et al."Rainfall Extremes: a Novel Modeling Approach for Regionalization".WATER RESOURCES MANAGEMENT 31.6(2017):1975-1994. |
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