IGSNRR OpenIR
Simulation and assessment of urbanization impacts on runoff metrics: insights from landuse changes
Zhang, Yongyong1; Xia, Jun2; Yu, Jingjie1; Randall, Mark3; Zhang, Yichi1; Zhao, Tongtiegang4; Zhai, Xiaoyan5,6; Shao, Quanxi7
2018-05-01
Source PublicationJOURNAL OF HYDROLOGY
ISSN0022-1694
Volume560Pages:247-258
Corresponding AuthorZhang, Yongyong(zhangyy003@igsnrr.ac.cn)
AbstractUrbanization-induced landuse changes alter runoff regimes in complex ways. In this study, a detailed investigation of the urbanization impacts on runoff regimes is provided by using multiple runoff metrics and with consideration of landuse dynamics. A catchment hydrological model is modified by coupling a simplified flow routing module of the urban drainage system and landuse dynamics to improve longterm urban runoff simulations. Moreover, multivariate statistical approach is adopted to mine the spatial variations of runoff metrics so as to further identify critical impact factors of landuse changes. The Qing River catchment as a peri-urban catchment in the Beijing metropolitan area is selected as our study region. Results show that: (1) the dryland agriculture is decreased from 13.9% to 1.5% of the total catchment area in the years 2000-2015, while the percentages of impervious surface, forest and grass are increased from 63.5% to 72.4%, 13.5% to 16.6% and 5.1% to 6.5%, respectively. The most dramatic landuse changes occur in the middle and downstream regions; (2) The combined landuse changes do not alter the average flow metrics obviously at the catchment outlet, but slightly increase the high flow metrics, particularly the extreme high flows; (3) The impacts on runoff metrics in the sub-catchments are more obvious than those at the catchment outlet. For the average flow metrics, the most impacted metric is the runoff depth in the dry season (October similar to May) with a relative change from -10.9% to 11.6%, and the critical impact factors are the impervious surface and grass. For the high flow metrics, the extreme high flow depth is increased most significantly with a relative change from -0.6% to 10.5%, and the critical impact factors are the impervious surface and dryland agriculture; (4) The runoff depth metrics in the sub-catchments are increased because of the landuse changes from dryland agriculture to impervious surface, but are decreased because of the landuse changes from dryland agriculture or impervious surface to grass or forest. The results of this study provide useful information for urban planning such as Sponge City design. (C) 2018 Elsevier B.V. All rights reserved.
KeywordUrbanization Runoff metrics Catchment hydrological model Multivariate statistical approach Beijing City
DOI10.1016/j.jhydrol.2018.03.031
WOS KeywordRIVER-BASIN ; COVER CHANGE ; CHINA ; CATCHMENT ; SYSTEM ; MODEL ; EVAPORATION ; ORDINATION ; SCENARIOS ; CLIMATE
Indexed BySCI
Language英语
Funding ProjectChina Youth Innovation Promotion Association, Chinese Academy of Sciences (CAS)[2014041] ; Natural Science Foundation of China[41671024] ; Program for Bingwei Excellent Talents in Institute of Geographic Sciences and Natural Resources Research, CAS[2015RC201] ; International Fellowship Initiative, Institute of Geographic Sciences and Natural Resources Research, CAS[2017VP04]
Funding OrganizationChina Youth Innovation Promotion Association, Chinese Academy of Sciences (CAS) ; Natural Science Foundation of China ; Program for Bingwei Excellent Talents in Institute of Geographic Sciences and Natural Resources Research, CAS ; International Fellowship Initiative, Institute of Geographic Sciences and Natural Resources Research, CAS
WOS Research AreaEngineering ; Geology ; Water Resources
WOS SubjectEngineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS IDWOS:000430882300019
PublisherELSEVIER SCIENCE BV
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/55044
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhang, Yongyong
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
2.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China
3.Univ Copenhagen, Dept Geosci & Nat Resources Management, Frederiksberg K, Denmark
4.Univ Melbourne, Dept Infrastruct Engn, Melbourne, Vic, Australia
5.Beijing Water Sci & Technol Inst, Beijing 100048, Peoples R China
6.China Inst Water Resources & Hydropower Res, Beijing 100038, Peoples R China
7.CSIRO, Data 61, Private Bag, Wembley, WA 6913, Australia
Recommended Citation
GB/T 7714
Zhang, Yongyong,Xia, Jun,Yu, Jingjie,et al. Simulation and assessment of urbanization impacts on runoff metrics: insights from landuse changes[J]. JOURNAL OF HYDROLOGY,2018,560:247-258.
APA Zhang, Yongyong.,Xia, Jun.,Yu, Jingjie.,Randall, Mark.,Zhang, Yichi.,...&Shao, Quanxi.(2018).Simulation and assessment of urbanization impacts on runoff metrics: insights from landuse changes.JOURNAL OF HYDROLOGY,560,247-258.
MLA Zhang, Yongyong,et al."Simulation and assessment of urbanization impacts on runoff metrics: insights from landuse changes".JOURNAL OF HYDROLOGY 560(2018):247-258.
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