globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.atmosres.2018.06.019
Scopus记录号: 2-s2.0-85049305708
论文题名:
Spatiotemporal analysis of precipitation variability in annual, seasonal and extreme values over upper Indus River basin
作者: Ahmad I.; Zhang F.; Tayyab M.; Anjum M.N.; Zaman M.; Liu J.; Farid H.U.; Saddique Q.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 213
起始页码: 346
结束页码: 360
语种: 英语
英文关键词: Indus River basin ; ITA ; Mann-Kendall ; Precipitation ; Trend analysis
Scopus关键词: Floods ; Precipitation (chemical) ; Rivers ; Watersheds ; Indus river basin ; Mann-Kendall ; Precipitation intensity ; Precipitation variability ; Seasonal precipitations ; Sen's slope estimators ; Spatiotemporal analysis ; Trend analysis ; Precipitation (meteorology) ; annual variation ; extreme event ; precipitation assessment ; seasonal variation ; spatiotemporal analysis ; trend analysis ; Indus River
英文摘要: This paper investigates the annual and seasonal precipitation variability at 20 stations over upper Indus River basin (UIRB) by using an innovative trend analysis (ITA) method, Mann-Kendall (MK) and Sen's slope estimator tests. Moreover, the annual precipitation time series is investigated for five precipitation intensities i.e. light, low, moderate, high and heavy; and on a seasonal scale for extreme values i.e. light and heavy precipitation intensities. Annual precipitation showed an increasing trend at four stations in the northeast region and a decreasing trend at two stations in the southeast region of UIRB. On a seasonal scale, the results showed that Garidopatta, Peshawar, Astore and Gupis stations are more sensitive to seasonal precipitation variabilities. Changes in heavy precipitation (> 90th percentile) are found more severe in winter and summer seasons in the northern regions suggesting a probable flooding aggravation. However, a reduction in flooding event observed during the spring season in the southern regions of the UIRB indicating a shift in the precipitation regime from south to north. The results of light precipitation (< 10th percentile) intensity showed that winter and spring seasons are more vulnerable to the occurrence of prolonged drought events. Moreover, ITA method has the advantage of detecting the sub-trends in the precipitation series because of its ability to present the results in graphical format. The results of this study could help to understand seasonal and annual precipitation variability over UIRB and will have imperative insinuations for further studies. © 2018
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/108794
Appears in Collections:影响、适应和脆弱性
气候变化事实与影响

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作者单位: Centre of Excellence in Water Resources Engineering, University of Engineering and Technology, Lahore, 54890, Pakistan; Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, University of Chinese Academy of Sciences, Beijing, 100101, China; College of Hydraulic and Environmental Engineering, China Three Gorges University, Yichang, 443002, China; State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chineese Academy of Sciences, Lanzhou, 730000, China; Research center of Fluid Machinery Engineering & Technology, Jiangsu University, Zhenjiang, 212013, China; Department of Irrigation and Drainage, University of Agriculture, Faisalabad, 38000, Pakistan; School of Environmental Science and Engineering, South University of Science and Technology of China, Shenzhen, 518055, China; Department of Agricultural Engineering, Bahauddin Zakariya University, Multan, Pakistan; Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, 712100, China

Recommended Citation:
Ahmad I.,Zhang F.,Tayyab M.,et al. Spatiotemporal analysis of precipitation variability in annual, seasonal and extreme values over upper Indus River basin[J]. Atmospheric Research,2018-01-01,213
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