中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spatiotemporal analysis of precipitation variability in annual, seasonal and extreme values over upper Indus River basin

文献类型:期刊论文

作者Anjum, MN (Anjum, Muhammad Naveed)4; Ahmad, I (Ahmad, Ijaz)1; Zhang, F (Zhang, Fan)2; Tayyab, M (Tayyab, Muhammad)3; Zaman, M (Zaman, Muhammad)5,6; Liu, JG (Liu, Junguo)7; Farid, HU (Farid, Hafiz Umar)8; Saddique, Q (Saddique, Qaisar)9
刊名ATMOSPHERIC RESEARCH
出版日期2018-11-15
卷号213期号:0页码:346-360
关键词TREND ANALYSIS CLIMATE-CHANGE MANN-KENDALL REFERENCE EVAPOTRANSPIRATION HYDROLOGICAL CYCLE MONOTONIC TRENDS TEMPORAL TRENDS PAN EVAPORATION UNITED-STATES TEMPERATURE
ISSN号0169-8095
DOI10.1016/j.atmosres.2018.06.019
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.
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000442169800029
出版者ELSEVIER SCIENCE INC
源URL[http://ir.itpcas.ac.cn/handle/131C11/8504]  
专题青藏高原研究所_图书馆
作者单位1.Univ Engn & Technol, Ctr Excellence Water Resources Engn, Lahore 54890, Pakistan;
2.Univ Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing 100101, Peoples R China;
3.China Three Gorges Univ, Coll Hydraul & Environm Engn, Yichang 443002, Peoples R China;
4.Chineese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Lanzhou 730000, Gansu, Peoples R China;
5.Jiangsu Univ, Res Ctr Fluid Machinery Engn & Technol, Zhenjiang 212013, Peoples R China;
6.Univ Agr Faisalabad, Dept Irrigat & Drainage, Faisalabad 38000, Pakistan;
7.South Univ Sci & Technol China, Sch Environm Sci & Engn, Shenzhen 518055, Peoples R China;
8.Bahauddin Zakariya Univ, Dept Agr Engn, Multan, Pakistan;
9.Northwest A&F Univ, Key Lab Agr Soil & Water Engn Arid & Semiarid Are, Minist Educ, Yangling 712100, Shaanxi, Peoples R China.
推荐引用方式
GB/T 7714
Anjum, MN ,Ahmad, I ,Zhang, F ,et al. Spatiotemporal analysis of precipitation variability in annual, seasonal and extreme values over upper Indus River basin[J]. ATMOSPHERIC RESEARCH,2018,213(0):346-360.
APA Anjum, MN .,Ahmad, I .,Zhang, F .,Tayyab, M .,Zaman, M .,...&Saddique, Q .(2018).Spatiotemporal analysis of precipitation variability in annual, seasonal and extreme values over upper Indus River basin.ATMOSPHERIC RESEARCH,213(0),346-360.
MLA Anjum, MN ,et al."Spatiotemporal analysis of precipitation variability in annual, seasonal and extreme values over upper Indus River basin".ATMOSPHERIC RESEARCH 213.0(2018):346-360.

入库方式: OAI收割

来源:青藏高原研究所

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