Arid
DOI10.3390/su12062305
Spatiotemporal Dynamics of Precipitation in Southwest Arid-Agriculture Zones of Pakistan
Waseem, Muhammad1; Ahmad, Ijaz1; Mujtaba, Ahmad1; Tayyab, Muhammad2; Si, Chen3,4; Lue, Haishen5; Dong, Xiaohua2,6
通讯作者Dong, Xiaohua
来源期刊SUSTAINABILITY
EISSN2071-1050
出版年2020
卷号12期号:6
英文摘要Investigation of spatiotemporal precipitation trends from a climate change perspective is essential, especially in those regions with rainfed agriculture in order to propose sustainable adaptation schemes. Some restrictive assumptions may hinder the efficacy of trend detection methods, so it could be supported with variability analysis to have a clear picture of the spatiotemporal precipitation dynamics rather than focusing on a single approach. Hence, in the current study, a spatiotemporal dynamic analysis of precipitation was carried out using trend detection methods (the innovative trend analysis method and Mann-Kendall test) and statistical indices (the consecutive disparity index, entropy-based variability index and absolute inter-variability index) in the southwest arid region of Pakistan. The results indicated that based on the monthly, annual and seasonal time series, no systematic precipitation pattern was observed across the whole study region. However, on average, an increasing trend was observed in the east plateau while decreasing in the west plateau. The variability analysis also signposted the higher variability in the case of the western plateau and coastal area compared to the east plateau. Based on the seasonal analysis, it was concluded that, on average, precipitation in the winter and spring season goes on decreasing with higher variability while a mixture of increasing and decreasing trends resulted for summer and autumn. Conclusively the study found that precipitation in the study area is more erratic and its behaviour abruptly changed over a short distance. Moreover, discrepancies and inconstancies were found in the selected trend detection approaches and variability indices. The results also indicated that climate change is going to seriously affect the region as a decreasing trend prevails in most of the cases and stations.
英文关键词innovative trend analysis variability indices precipitation arid region
类型Article
语种英语
国家Pakistan ; Peoples R China
开放获取类型Green Published, gold
收录类别SCI-E ; SSCI
WOS记录号WOS:000523751400152
WOS关键词CUMULATIVE SUM TYPE ; TIME-SERIES ; TRENDS ; VARIABILITY ; RAINFALL ; TEMPERATURE ; CLIMATE
WOS类目Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
来源机构河海大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/315636
作者单位1.Univ Engn & Technol, Ctr Excellence Water Resources Engn, Lahore 54890, Pakistan;
2.China Three Gorges Univ, Coll Hydraul & Environm Engn, Yichang 443002, Peoples R China;
3.Hubei Key Lab Reg Dev & Environm Response, Wuhan 430062, Peoples R China;
4.Hubei Univ, Sch Resources & Environm, Wuhan 430062, Peoples R China;
5.Hohai Univ, Coll Hydrol & Water Resources, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Peoples R China;
6.Hubei Prov Collaborat Innovat Ctr Water Secur, Wuhan 430070, Peoples R China
推荐引用方式
GB/T 7714
Waseem, Muhammad,Ahmad, Ijaz,Mujtaba, Ahmad,et al. Spatiotemporal Dynamics of Precipitation in Southwest Arid-Agriculture Zones of Pakistan[J]. 河海大学,2020,12(6).
APA Waseem, Muhammad.,Ahmad, Ijaz.,Mujtaba, Ahmad.,Tayyab, Muhammad.,Si, Chen.,...&Dong, Xiaohua.(2020).Spatiotemporal Dynamics of Precipitation in Southwest Arid-Agriculture Zones of Pakistan.SUSTAINABILITY,12(6).
MLA Waseem, Muhammad,et al."Spatiotemporal Dynamics of Precipitation in Southwest Arid-Agriculture Zones of Pakistan".SUSTAINABILITY 12.6(2020).
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