机构地区:[1]Institute of Geographic Sciences and Natural Resources Research,Key Laboratory of Water Cycle and Related Land Surface Processes,Chinese Academy of Sciences,Beijing 100101,China [2]Changjiang Investigation,Planning,Design and Research Co.Ltd.,Wuhan 430014,China [3]State Key Laboratory of Water Resources and Hydropower Engineering Science,Wuhan University,Wuhan 430072,China [4]Chongqing Institute of Green and Intelligent Technology,Chinese Academy of Sciences,Chongqing 400417,China [5]Beijing Key Laboratory of Urban Water Cycle and Sponge City Technology,Beijing 100048,China
出 处:《Science China Earth Sciences》2022年第8期1415-1430,共16页中国科学(地球科学英文版)
基 金:supported by the Subproject of Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDA23040301);the National Natural Science Foundation of China(Grant No.42071041)。
摘 要:The regulation and spatial differences of urban runoffs are of great concern in contemporary hydrological research.However,owing to a shortage of basic data sources and restrictions on urban hydrological simulation functions,simulating and investigating the regulation mechanism behind rainfall-runoff processes remain significantly challenging.In this study,the Time Variant Gain Model(TVGM),a hydrological nonlinear system model,was extrapolated to the hydrodynamic model of an urban drainage network system by integrating it with the widely used Stormwater Management Model(SWMM)to adequately simulate urban runoff events while considering various underlying surfaces and runoff routing modes,such as surface,drainage network and river runoff,in urban regions(i.e.,TVGM-SWMM).Moreover,runoff events were characterized using the following four runoff regime metrics:runoff coefficient,capture ratio of annual runoff volume,standardized flood timescale,and the ratio of occurrence time differences between flow and rainfall peak to event duration(peak flow delay time).The characteristics and spatial differences of urban runoff regulations were investigated,and the key impact factors and their relative contributions were identified using multivariate statistical analyses.Four communities were selected as our study areas,consisting of communities from Beijing,Shenzhen,Wuhan,and Chongqing.Our results showed that the TVGM-SWMM performed considerably better than SWMM alone.The comprehensive simulation accuracy of 60%of the events(12/20)improved by 4-86%,with the bias improving the most,followed by the efficiency coefficient.Barring the runoff coefficient,significant spatial differences were identified at the patch scale for the runoff regime metrics,with differences of 0.43,0.22,and 0.16(p<0.05).The key impact factors were the pipe length(r=0.51)in the drainage network system and the forest area ratios(r=0.56),sponge measures(r=0.52),grassland(r=0.48),and impervious surface(r=0.46)in the underlying surfaces.The contributions of the
关 键 词:Runoff event Regime metrics Spatial differences Urban rainfall-runoff model Underlying surface regulation
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