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Large observational bias on discharge in the Indus River since 1970s
Liu, JS (Liu, Jingshi)1; Kang, SC (Kang, Shichang)2,3; Hewitt, K (Hewitt, Kenneth)4; Hu, LJ (Hu, Linjin)5; Li, XY (Li Xianyu)6
Source PublicationSCIENTIFIC REPORTS
2018
Volume8Issue:0Pages:文献号: 17291
DOI10.1038/s41598-018-35600-3
Abstract

The discharge of one of the world's largest river - Indus River was reported to be increasing that was not supported by the Karakoram (KK) glacier expansion. A major hydrometric bias was ignored, which seemed similar to the montage that the Himalayan glaciers would disappear. This study proposed a framework for quantifying the bias resulting from inaccurate data affecting hydrologic studies on the Indus. We constructed a statistical model by converting the rating curves of rivers into air temperature (T) - discharge (Q) curves from an adjacent catchment in China where flow measurement was carried out using a standard method. We found that most flow data for the Indus were much greater than the error limits of T-Q curves estimated by daily data, a greater bias occurred in recent decades when discharge increased, the higher the flow was, the larger the bias was. The estimated mean annual and maximum monthly bias was 22.5% and 210%, respectively. These biases indicated that discharge increase in the Indus probably resulted from the large errors of hydrometrics without a scientific basis. We suggested a montage bias was needed in the hydrologic science of KK's rivers that may strongly affect water resource management.

Subject Area地理学
WOS IDWOS:000451058600011
Language英语
Indexed BySCIE
KeywordHydrological Regimes Basin Climate Uncertainty Runoff Flow
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
Cooperation Status国内
ISSN2045-2322
Department环境变化与地表过程重点实验室
PublisherNATURE PUBLISHING GROUP
Citation statistics
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/8499
Collection图书馆
Corresponding AuthorLiu, JS (Liu, Jingshi)
Affiliation1.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing, Peoples R China;
2.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Lanzhou, Gansu, Peoples R China;
3.CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China;
4.Wilfird Laurier Univ, Cold Reg Res Ctr, Waterloo, ON N2L 3C5, Canada;
5.Hydrol & Water Resources Bur Xinjiang, Urumqi, Xinjiang, Peoples R China;
6.Hydrol & Water Resources Bur Yangtze River, Wuhan, Hubei, Peoples R China.
Recommended Citation
GB/T 7714
Liu, JS ,Kang, SC ,Hewitt, K ,et al. Large observational bias on discharge in the Indus River since 1970s[J]. SCIENTIFIC REPORTS,2018,8(0):文献号: 17291.
APA Liu, JS ,Kang, SC ,Hewitt, K ,Hu, LJ ,&Li, XY .(2018).Large observational bias on discharge in the Indus River since 1970s.SCIENTIFIC REPORTS,8(0),文献号: 17291.
MLA Liu, JS ,et al."Large observational bias on discharge in the Indus River since 1970s".SCIENTIFIC REPORTS 8.0(2018):文献号: 17291.
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