Simulation and assessment of urbanization impacts on runoff metrics: insights from landuse changes

doi:10.1016/j.jhydrol.2018.03.031

	Simulation and assessment of urbanization impacts on runoff metrics: insights from landuse changes
	Zhang, Yongyong 1; Xia, Jun 2; Yu, Jingjie 1; Randall, Mark 3; Zhang, Yichi 1; Zhao, Tongtiegang 4; Zhai, Xiaoyan 5,6; Shao, Quanxi 7
刊名	JOURNAL OF HYDROLOGY
	2018-05-01
卷号	560 页码:247-258
关键词	Urbanization Runoff metrics Catchment hydrological model Multivariate statistical approach Beijing City
ISSN号	0022-1694
DOI	10.1016/j.jhydrol.2018.03.031
通讯作者	Zhang, Yongyong(zhangyy003@igsnrr.ac.cn)
英文摘要	Urbanization-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.
资助项目	China 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]
WOS关键词	RIVER-BASIN ; COVER CHANGE ; CHINA ; CATCHMENT ; SYSTEM ; MODEL ; EVAPORATION ; ORDINATION ; SCENARIOS ; CLIMATE
WOS研究方向	Engineering ; Geology ; Water Resources
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000430882300019
资助机构	China 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
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/55043]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhang, Yongyong
作者单位	1.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
推荐引用方式 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.