25 5 2014 10 JournalofWaterResources& WaterEngineering Vol.25No.5 Oct.,2014 DOI:10.11705/j.isn.1672-643X.2014.05.037 I SWMMM G ),S 7 1, 2,$ M 1,3 3, 1 (1.ED,- 7 210098;2. +& > E, - 215000;3., 510000) #:U X. T 1 2 10a3 SF: H., SWMMRS 7 X E c= X GPO 5 \] RI_` \:T=1aGX., = X. 54%G W 38%GP b ];J 3 SX., WP bg H`JH. 2.5h; X. G, b ]G WP b, bb! C _`ab 7 G, X 5 T, XPO 5 R78 52 RI_` G.5PO5 c^_ (:SWMM; (X.; 5PO; 5 ; 7 E )* +,:S276.5 -./01:A -,:1672 643X(2014)05 0169 05 AnalysisofdrainagecapacityofmidwaynetworkinQinhuairiver ofnanjingbasedonswmm XUESiqi 1,ZHANG Ying 2,LIYiping 1,HAO Wenbin 3,QIULi 1 (1.ColegeofEnvironment,HohaiUniversity,Nanjing210098,China;2.SuzhouEdwardEcologicalEnvironmentTechnology Co.,Ltd,Suzhou215000,China;3.GuangdongProvincialAcademyofEnvironmentalSciences;Guangzhou510000,China) Abstract:ThreekindsofdesignrainstormreturnperiodofTbeing1,2,10yearsarechosenasthetypical yeartoasesthedrainagecapacityofthestudyareabystorm watermanagementmodel(swmm).the finalresultshowsthat54% manholesand38% conduitscannotmeetrequirementswhenthedesignrain stormreturnperiodisoneyear.inthethreetypicalstorm intensity,manholesandpipesoverloadoccurs basicalyin2.5haftertherain.withtheincreaseofstormintensity,thenumberofrunningoverloadman holesandpipesdon'tsignificantlyincrease,butthetimeofoverloadsignificantlyprolonge.therefore,with thespeedingupofnanjingurbanizationandtheincreaseofwaterseepagearea,thedrainagecapacityin thestudyareacannotmeettherequirement.thesimulationresultscanprovideatechnicalsupportforre constructionofdrainagesystem. Keywords:SWMM;designrainstorm;drainagenetwork;NanjingQinhuaiRiver 5PO c G 2X a, 5PO@ 5 2:! F, \ B 5 T, ^ 5POG 5 L,+ % 5PO 78,3 ;, \]^ 5POG (W5,C 78 G 5 [1], G G J,! R R. \]5 R 2 567 8 (. J T.XG=, RaJV 4 RRI? W RI PO [2-3], -. % SWMM(Storm Wa termanagementmodelx. 5P RS)RI H.? [3-4] SWMM U%,RI >H. GRS, RS CR I H., RI 5PO J :2014 03 17; :2014 07 13 :K #$(141073) :N (1991 ),/,- K,J,34578 )M5 RSG
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5,.:45 SWMM: 0 V)* 171 \] Q j+1 t =ξ(q i -Q j i)+(1-ξ)(q j+1 (10) Δt Q j+1 x =ζ(q i -Q j i)+(1-ζ)(q j+1 (11) Δx (8)W(9)49 (6)U: 1ξ(Q j+1 i -Q j i)+(1-ξ)(q j+1 + C Δt ζ(q j+1 i -Q j i)+(1-ζ)(q j+1 (12) Δx :ξw ζ W G :ξ% (0, 0.5),ζ% (0.5,1),i,j W G?, 2 M W V,M C G,, (T, G 5% :,V 9? 4 5 T J SWMM, 2 UR W UR c\] 5 G T,? U 3! :2 3.1 7 SWMMRS _` H.7 G U =GH.2S G,H. ` ( ; _ cg =.c ^\ = GX. # 7, 7 c G 7 =X.,U = GX. : q=2989.3(1+lgp)/(t+13.3) 0.8 (13) :q VNX.,L/(S hm 2 );P (H.,a;t H./,min U 3 SF T 1 2 10a, (X.,H./ 2h (T =VNX. RSRI 24h 3.2 C 7 M = G 5P V W = \] 5= G) : 5= 5!\9PO G,.5PO YG 1 X N E 5, ^ 5= G) [R I =,H6 ArcGisG56 (HydrologicalAnalysis)R 5=\]) " _ M ) G 5= \] 5 ) ` 1 * 1 P C 7 * 3.3 Sab [8-12] 5PO GRI(T 26M SWMM RS G M R a 1 ^RS a R W R G 2 [8], a @A A U G, #RS b U ; N Arc Gis G (R 1 SWMM * R;[ RM^# S R c8 = T ArcGis RS 9 = 5[ ArcGis RS 9 = 9 a = O (T A 5[= G T5 @A A 5[= G(7 @A A 5[= G T5 @A A 5[= G(7 @A A 9 @A A P! P (T P G(7 P = P @ P 9 P P VN 4? 4.1 23 = K 76, ` 5, V T5! 5 PO 5 RI_`, C U J (X., G W
172 2014 J (X. T 1 2W 10 a, 54% 55% 55%G a 2 = a a 2, (X., G,.b J261% X. % ; X.!! 2~4 J261 J292W J400 J (X. T 1 2W 10aG,5 2 23 4 T/a t=0 t 6h 6 t 12 t 12 ; 1 35 23 5 13 41 2 34 24 3 15 42 10 34 16 11 15 42 * 2 J261 J292; J400; * 3 J261 J292; J400; * 4 J261 J292; J400; T=1a23 7/ DE* T=2a23 7/ DE* T=10a23 7/ DE*,3 J 3 H., 5 G H J261 J T =1aG (X., T=2a,% F 0.5h, T=10a, J261 F 1h J400J T=1aG (X., X.,J400! b, 3 0.4h 1.3h J292 0.8m,X J261W J400,! J292.! J T=1aG (X. F 2h, 2aW 10aG 3hW 5h 4.2,- P 5 J7 >A P 7 PO b > P G5 > P G b, PO G5 > \ ^ = XPOG 5 = XK 71 P, (X. T 1 2W 10a P bq 38% 39% 39% a 3 P b = a a 3, (X. 3 1a 10a, bp ; ^ (X. T=1aW T=2a, bp (X. T=10a, b P G b % b! 5~7 P GD49 P GD142WP GD145 J (X. T=1a T=2aW T=10aG,P 3 23,- 4 T t=0 t 6h 6 t 12 t 12 bp ; 1 44 18 3 6 27 2 43 19 2 7 28 10 43 13 4 11 28 RS GRI""_,P GD49J (X. T=1aG b;j T=2aG,7 b, b 0.44h; 10a,GD497 >.b, / 7 F 0.42m 3 /s GD145 7.,! b.,j (X. T =10aG, b 1.34h GD142J (X. T=1aG 7 b, b. 4.2h; T 2W 10a G, b 5.54hW 7.58h, b b! 4.3 C 7?7B 5=GT5 G R I_` G GI 5! RI_` G, T G 5=I G, T 5=GT5 8~10 = X 5 =I G G
5,.:45 SWMM: 0 V)* 173 * 5,- GD49 GD142; GD145; * 6,- GD49 GD142; GD145; * 7,- GD49 GD142; GD145; T=1a23 B DE* T=2a23 B DE* T=10a23 B DE* * 8 C 7 * 9 C 7 * 10 C 7 T=1a DE* T=2a DE* T=10a DE* /, J307W J308 X. b J307 b 3 XK T W 5=T5 5 H6 7 45aG@ H.7 "_ P - I,U RI =X (X. T 1 2M 10a3 SF POG 5 RI _` \, 7! F G, X 5 T, 5, ^ 7 5PO L,+ = X 58%G W 38%GP G 5 H. G 2 J (X. T=1aG W7 bg WP 2 (W5,J (X. T=2aW T=10aG, W7 bp T=1aN ^ bj = 5.5G ", = WP G ( ) F-.: [1],],6,. SWMMG.5PO 5 [J].' (8),2011, 33(1):5-8. [2];, P1.. RSJ = = 5 (T G [J].DE5,2001,(1):9-11. [3]JangS,ChoM,YoonJ,etal.UsingSWMM asatoolfor hydrologicimpactasesment[j].desalination,2007,212 (1):344-356. [4]SharifanRA,RoshanA,AflatoniM,etal.Uncertaintyand sensitivityanalysisofswmm modelincomputationofman holewaterdepthandsubcatchmentpeakflood[j].procedia -SocialandBehavioralSciences,2010,2(6):7739-7740. [5];, -,4,. SWMMRI D = 5M 5?[J]. 5 5,2006,22(21):64-66+70. [6] QU,$,& *,. SWMMG 7 S =X. 5RI [J].5 5 6,2006,37 (4):64-67. [7]OuyangWei,GuoBobo,HaoFanghua,etal.Modelingur banstorm rainfalrunoffrom diverseunderlyingsurfaces andapplicationforcontroldesigninbeijing[j].journalof environmentalmanagement,2012,113:467-473. [8] ;, +#,.X.P RS SWMM56 G H[ [J]. 7 9?, 2012,28(1):45-48. [9] #,Y %, 6,.SWMMRS U [J]. J,2012,43(7):42-49. [10]/,,',,.SWMMRSJ 5 = a RI G [J]., 2008,29(6):1495-1501. [11]ZaghloulNA,AbuM A.Neuralnetworksolutionofin verseparametersusedinthesensitivity-calibrationana lysesoftheswmm modelsimulations[j].advancesin EngineeringSoftware,2001,32(7):587-595. [12]ParkSY,LeeKW,ParkIH,etal.Efectoftheaggregation levelofsurfacerunoffieldsandsewernetworkforaswmm simulation[j].desalination,2008,226(1):328-337.