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Human impact parameterizations in global hydrological models improve estimates of monthly discharges and hydrological extremes: a multi-model validation study
Veldkamp, T. I. E.1,9; Zhao, F.2; Ward, P. J.1; de Moel, H.1; Aerts, J. C. J. H.1,3; Schmied, H. Mueller4,5; Portmann, F. T.4; Masaki, Y.6; Pokhrel, Y.7; Liu, X.8; Satoh, Y.9; Gerten, D.2,10; Gosling, S. N.11; Zaherpour, J.11; Wada, Y.12
2018-05-01
Source PublicationENVIRONMENTAL RESEARCH LETTERS
ISSN1748-9326
Volume13Issue:5Pages:16
Corresponding AuthorVeldkamp, T. I. E.(ted.veldkamp@vu.nl)
AbstractHuman activity has a profound influence on river discharges, hydrological extremes and water-related hazards. In this study, we compare the results of five state-of-the-art global hydrological models (GHMs) with observations to examine the role of human impact parameterizations (HIP) in the simulation of mean, high-and low-flows. The analysis is performed for 471 gauging stations across the globe for the period 1971-2010. We find that the inclusion of HIP improves the performance of the GHMs, both in managed and near-natural catchments. For near-natural catchments, the improvement in performance results from improvements in incoming discharges from upstream managed catchments. This finding is robust across the GHMs, although the level of improvement and the reasons for it vary greatly. The inclusion of HIP leads to a significant decrease in the bias of the long-term mean monthly discharge in 36%-73% of the studied catchments, and an improvement in the modeled hydrological variability in 31%-74% of the studied catchments. Including HIP in the GHMs also leads to an improvement in the simulation of hydrological extremes, compared to when HIP is excluded. Whilst the inclusion of HIP leads to decreases in the simulated high-flows, it can lead to either increases or decreases in the low-flows. This is due to the relative importance of the timing of return flows and reservoir operations as well as their associated uncertainties. Even with the inclusion of HIP, we find that the model performance is still not optimal. This highlights the need for further research linking human management and hydrological domains, especially in those areas in which human impacts are dominant. The large variation in performance between GHMs, regions and performance indicators, calls for a careful selection of GHMs, model components and evaluation metrics in future model applications.
Keywordhydrological extremes human impact validation global hydrological modeling multi-model fresh water resources
DOI10.1088/1748-9326/aab96f
WOS KeywordSHARED SOCIOECONOMIC PATHWAYS ; WATER SCARCITY EVENTS ; CLIMATE-CHANGE ; SURFACE-WATER ; GROUNDWATER RESOURCES ; FIELD SIGNIFICANCE ; INTEGRATED MODEL ; FLOW DURATION ; SCALE ; RUNOFF
Indexed BySCI
Language英语
Funding ProjectEU 7th Framework Programme through the project Earth2Observe[603608] ; Islamic Development Bank ; Netherlands Organisation for Scientific Research (NWO)[016.161.324] ; Netherlands Organisation for Scientific Research (NWO) Vici[453-14-006] ; Environment Research and Technology Development Fund of the Ministry of the Environment[S-10]
Funding OrganizationEU 7th Framework Programme through the project Earth2Observe ; Islamic Development Bank ; Netherlands Organisation for Scientific Research (NWO) ; Netherlands Organisation for Scientific Research (NWO) Vici ; Environment Research and Technology Development Fund of the Ministry of the Environment
WOS Research AreaEnvironmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS SubjectEnvironmental Sciences ; Meteorology & Atmospheric Sciences
WOS IDWOS:000431492300002
PublisherIOP PUBLISHING LTD
Citation statistics
Cited Times:9[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/55030
Collection中国科学院地理科学与资源研究所
Corresponding AuthorVeldkamp, T. I. E.
Affiliation1.Vrije Univ Amsterdam, Inst Environm Studies IVM, Amsterdam, Netherlands
2.Potsdam Inst Climate Impact Res, Potsdam, Germany
3.Univ Calif Santa Barbara, Dept Geog, Santa Barbara, CA 93106 USA
4.Goethe Univ Frankfurt, Inst Phys Geog, Frankfurt, Germany
5.Senckenberg Biodivers & Climate Res Ctr SBiK F, Frankfurt, Germany
6.Natl Inst Environm Studies, Tsukuba, Ibaraki, Japan
7.Michigan State Univ, Dept Civil & Environm Engn, E Lansing, MI 48824 USA
8.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China
9.Int Inst Appl Syst Anal, Laxenburg, Austria
10.Humboldt Univ, Dept Geog, Berlin, Germany
11.Univ Nottingham, Sch Geog, Nottingham, England
12.Univ Utrecht, Dept Phys Geog, Utrecht, Netherlands
Recommended Citation
GB/T 7714
Veldkamp, T. I. E.,Zhao, F.,Ward, P. J.,et al. Human impact parameterizations in global hydrological models improve estimates of monthly discharges and hydrological extremes: a multi-model validation study[J]. ENVIRONMENTAL RESEARCH LETTERS,2018,13(5):16.
APA Veldkamp, T. I. E..,Zhao, F..,Ward, P. J..,de Moel, H..,Aerts, J. C. J. H..,...&Wada, Y..(2018).Human impact parameterizations in global hydrological models improve estimates of monthly discharges and hydrological extremes: a multi-model validation study.ENVIRONMENTAL RESEARCH LETTERS,13(5),16.
MLA Veldkamp, T. I. E.,et al."Human impact parameterizations in global hydrological models improve estimates of monthly discharges and hydrological extremes: a multi-model validation study".ENVIRONMENTAL RESEARCH LETTERS 13.5(2018):16.
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