Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/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
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EISSN | 2071-1050 |
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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