SCS-CN模型运用

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: 利用北京市西南山区房山蒲洼两个坡耕地小区 30 场降雨径流资料和密云石匣示范区休闲地试验小区 13 场降雨径流资料,对 Chu 修正的 Mein-Larson-Green-Ampt(GAML)、Phillip、Horton 和SCS 径流曲线数法4 种 径流计算公式进行了对比。结果表明: GAM L 和 Phillip 计算结果的模型确定性系数较高, Horton 入渗曲线和 SCS 曲线数的计算结果模型确定性系数偏低。根据模型参数的易获得性,建议在北京山区, 在有降雨过程资料 时,使用 Chu 修正的 GAML 入渗曲线进行径流计算; 若无降雨过程资料可用 SCS 径流曲线数进行径流计算。本 研究结果可用于北京地区径流量预报和水土资源评价。
606 (Rohi-roli E=1 SD (7) R 2.1 GAML、 Philli p、 Horton 4 0 GAML Phillip Hor SC GAML Phillip mm. Table 1 Basic parameters of infil trat ion equat ions Green Ampt Phillip Horton K SM S A k CN (11) 0.137 10 1.25 0.134 0.05 13 0.127 93.17 0.156 l.21 0.l6 0.052 l.15 0.155 92.4 0.525 3.25 1.16 0.516 0.046 1.27 0.528 77.9 T able 2 Comparison of means and standard dev iation for di fferent calculat ion met hods GAML Phi llip Horton (11) 9.31 6.74 9.30 6.94 9.31 6.87 9.32 9.31 (23) 6.50 6.64 8.55 6.57 8.54 7.07 8.54 7.67 9.41 6.49 9.41 8.22 9.41 8.45 9.41 9.02 9.41 8.30 2.2 GAML Ef GAML Phillip p Phillip Horton SCs Horton Scs (3)。 GAML Philli (4)。 Horton scs GAMl Phill 4 。 GAML Phillip 2.3 Horton SCs ?1994-2018cHinaAcademicJournalElectronicPublishinghOUse.Allrightsreservedhttp://www.cnki.net 07 Table 3 Model certified proport ion for different runoff calculation met hods GAMI Phillip Horton %) (%) (%) (%) (11) 30 76.7 76.7 56.7 53.3 23) 83.3 23 76.7 17 56.7 56.7 13 53.8 6 46.2 61.5 7 53.8 Table4 Corre lat ive coef ficient and model efficiency for differen t calculation methods GAML Phillip Horton SCS R R 0.905 0.804 0.906 0.807 0.865 0.693 0.721 (23) 0.914 0.824 0.914 0.825 0.881 0.734 0.710 0.688 0.600 0.887 0.614 0.879 0.512 0.835 0.500 计算流 计算径 1:1能 30 计算 20 D 10 10 实测径流m 实测径流(四 1 Phillip 2 GAML Fig.cOmprison of calculated and Fig 2 Comprison of calculated and observed runoff for Philip observed runoff for GAMI 计算径流 1:】 ◆计算径流◆ 11 20 10 20 3自 10 实测径流<m) 实测径流(血) 3 Horton 4 SCS Fig 3 Comprison of calculated and Fig. 4 Comprison of calculated and observed runoff for hort on observed runoff for SCs cu rve number 3 GAML、 Phillip Horton Raw ls brakensiek 4l 17 330 21994-2018ChinaAcademicJournalElectronicPublishingHouseAllrightsreservedhttp://www.cnki.net 608 GreenAmpt GreenAmpt Ki [15 Goodw in creek (21km) GAML Phillip SWAT (Soil and water Asses tool) 。 GAMl Philli GreenAmpt SCS 0.8040.807; am P 0.8240.825 CS 0.6000.614 Horton 0.6930.690: 940708 51.3mm, 0.7340.688 9.17 30 0. 4 mm min 0.512 15.28mm, 0.500。 GAML Phillip SCS 32.65mm Horton sc GAML Phill 930720 31.1 mm, 1.33 30 Chu 0.78 mm min GAML SC 21.6mm,S 15.6mm。 Green Ampt 、 Philli P 1 Green W and Ampt G A. Studies on soil physics. part 1: the Horton Horton flow of air and w ater th rough soils J. Jour. Ag. Sci. 1911,4 Clausii [2 Mein R G, Larson C L. M odelling infilt rat ion during a st eady (1998) 。Gren-Ampt rain[ J. Water Resour. Res. 1973, 9(2): 384 394 u I ung nng eady rain[ J. W Resource Research. 1978.14(3):461-466. [4 Philip j R. The the Itr equa tion and its solution[ J. Soil Sci. 1957,8(3): 345 357. 。 GAMl Philli [5 Chow V T, Maidment D R, Mays L W. Applied hy dro logy [ M. McGraw Hill Book Company, 1988. 109 6 U.S. Soil C onse rv at ion Service N at ional engineering handbook [M. Hydrology Section 4, 1985. 79 7 Horton 0.879 ,1993,9:1~3. 0.51 0.367。 ,1982,1:1 J 4) 1994,5(3):186~192. [10 Williams JR. EPIC, the erosion p roductiv ity impact calcula ?1994-20P8 China Academic Journal Electronic Publishing house lume,, 1:. model documentation[ r.agricultural re- nts reserved 609 search service U. S. D.A. Washingt on. D. C.. 1983 Green Ampt effective hy drauic conducti vit ies[ J.Water Re- [11 Knisel W G(ed). Creams: a field sc ale model for chemicals, sources Bulletin 1996, 32(1): 125-136. runoff, and erosions from agricultural mana gement sy stems 15] Rawls W, Brakensiek D L. Comparison bet ween Green [R, US DA Conservation Research Report No 26, 1980 Ampt and curve number runoff predict ions[ J. Trans. Asae 12] Young R A,Onsad C A, Bosch DD, et al. A gnps: a nonpoint 1983,29(6):1597-1599 source pollution model for evaluating agricult ural watersheds 16 King K W, Amold J G, Bingner R L. Comparison of Green [J. Soil and Water Conservation Society. 1989,44 (2): 168 Ampt and curve number methods on Goodw in Creek w at ershed 173 using Sw at[ J. Trans. ASAE. 1999, 42(4):1-7 [13 Nash J E, Sutciffe J V. River fbw forecasting through cor[ 17 Clausni tzer V, Hopmans J W and Lstarr J. Parameter uncer ce ptual models part 1: a discussion of principles[ J. J. tainty analysis of common infiltrat ion models[ j. Soil Sci. Hy drol.1970.10(3):282-290 Soc.Am.J.1998,62(6):1477-1487. [14 Nearing M A, Liu BY, Risse L M, et al. Curve numbers and Study on runoff calculation Method in Beijing Mountainous Area FU Suhua, LiU Bao-yuan",WU Jing-dong, DUAN Shu-huai (1. Department of resources and Environmental Scien ces, Beijing Normal University, Beijing 100875; 2. Bejjing Institute of Water Science, Bejjing 100044; 3. Beijin g Soil Loss Conservation Station, Beijing 100073; 4. Key Laboratory of Env ironmen tal Change and Natural Disaster, the Ministry of education of China, Beijing 100875) Abstract: Runoff causes soil erosion and environ men tal pollution. It is very important for soil loss calcu lation and soil and w ater resources evaluation to select suitable runoff calculation method the 30 sing le storm dat a of two conventional tillage plots at Puwa watershed, Fangsh an County and 13 single storm data of one fallow dot at Shixia w atershed, m iy un county were used Several runoff calculation methods, including gaml re vised by Chu, Phillip, Horton, SCS curve number, were compared. The results show ed that the model effi- ciencies of GaMl and phillip were higher th an those of horton and s cs curve number a ccording to the pa rameters easily obtained, GAML revised by Chu is suggested w hen there are the continuous records of rainfall in Beijing mountainous area. If not, SCS curve number should be used. The results can be served as soil and w ater evaluation and plan Key wordS: Beijing mount anous area; infilt ration; runoff calculation 21994-2018ChinaAcademicJournalElectronicPublishingHouseAllrightsreservedhttp://www.cnki.net

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