干旱区生态环境知识资源中心(Arid): Temporal Analysis for Detection of Anomalies in Precipitation Patterns over a Selected Area in the Indus Basin of Pakistan

Arid

DOI	10.1007/s00024-021-02671-9
	Temporal Analysis for Detection of Anomalies in Precipitation Patterns over a Selected Area in the Indus Basin of Pakistan
	Ali, Akhtar; Farid, Hafiz Umar; Khan, Zahid Mehmood; Ahmad, Ijaz; Anjum, Muhammad Naveed; Mubeen, Muhammad; Shakoor, Aamir
通讯作者	Farid, HU (corresponding author), Bahauddin Zakariya Univ, Dept Agr Engn, Multan 60800, Pakistan.
来源期刊	PURE AND APPLIED GEOPHYSICS
ISSN	0033-4553
EISSN	1420-9136
出版年	2021
卷号	178 期号:2 页码:651-669
英文摘要	For efficient adaptation strategies, investigation of the variability in climatic data and its impact on meteorological drought is critical, particularly in semi-arid and arid regions. Innovative trend analysis (ITA), Mann-Kendall (MK) and Sen's slope estimator (SSE) tests were employed to analyze the variations in precipitation (1981-2018) on annual, seasonal and monthly scale across 12 meteorological stations over the selected areas of the lower Indus basin (LIB) of Pakistan. The reliability of the ITA method was also compared and analyzed with both MK and SSE methods for 48 seasonal precipitation times series. Annual precipitation results indicated a significant increasing trend, i.e., 2.09 mm/year, at only one station (Rahim Yar Khan (RYK)-Khanpur), with MK test statistic Z(mk) = 2.09 and Sen's slope estimator beta = 2.56. On a monthly scale, the maximum number of positive significant trends were noted during June, with Z(mk) values of 2.01 to 3.24 and beta values of 1.06-3.06, while the maximum number of negative trends was found during January, February, November and December. On a seasonal scale, ITA methods showed significant increasing trends during the summer at 12 selected meteorological stations, with trend indicator (B) values ranging from 0.22 to 2.46. Moreover, performance of the ITA method was found to be consistent with both MK and SSE test results at a verified significance level. The results of the study can help to increase our understanding of the annual, seasonal and monthly precipitation variability in the LIB that may be helpful in developing strategies for the proper management of water resources over the area.
英文关键词	Climate change precipitation variability LIB trend analysis water resources management
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000616744400001
WOS类目	Geochemistry & Geophysics
WOS研究方向	Geochemistry & Geophysics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351440
作者单位	[Ali, Akhtar; Farid, Hafiz Umar; Khan, Zahid Mehmood; Shakoor, Aamir] Bahauddin Zakariya Univ, Dept Agr Engn, Multan 60800, Pakistan; [Ahmad, Ijaz] Univ Engn & Technol, Ctr Excellence Water Resources Engn, Lahore 54890, Pakistan; [Anjum, Muhammad Naveed] PMAS Arid Agr Univ, Dept Land & Water Conservat Engn, Rawalpindi, Pakistan; [Mubeen, Muhammad] COMSATS Univ Informat Technol, Dept Environm Sci, Vehari, Pakistan
推荐引用方式 GB/T 7714	Ali, Akhtar,Farid, Hafiz Umar,Khan, Zahid Mehmood,et al. Temporal Analysis for Detection of Anomalies in Precipitation Patterns over a Selected Area in the Indus Basin of Pakistan[J],2021,178(2):651-669.
APA	Ali, Akhtar.,Farid, Hafiz Umar.,Khan, Zahid Mehmood.,Ahmad, Ijaz.,Anjum, Muhammad Naveed.,...&Shakoor, Aamir.(2021).Temporal Analysis for Detection of Anomalies in Precipitation Patterns over a Selected Area in the Indus Basin of Pakistan.PURE AND APPLIED GEOPHYSICS,178(2),651-669.
MLA	Ali, Akhtar,et al."Temporal Analysis for Detection of Anomalies in Precipitation Patterns over a Selected Area in the Indus Basin of Pakistan".PURE AND APPLIED GEOPHYSICS 178.2(2021):651-669.