Optimization of SCS-CN Model in a Mountainous Area on West Bank of Dianchi Lake

Li Jinmei; Zhou Jingchun; Wang Jinliang

doi:10.13961/j.cnki.stbctb.20230525.001

您当前的位置：

首页 >

文章列表页 >

Optimization of SCS-CN Model in a Mountainous Area on West Bank of Dianchi Lake

- Optimization of SCS-CN Model in a Mountainous Area on West Bank of Dianchi Lake
- Bulletin of Soiland Water Conservation Vol. 43, Issue 3, Pages: 139-147(2023)
- 作者机构：
  
  1. 云南师范大学地理学部,云南,昆明,650500
  2. 云南省高校资源与环境遥感重点实验室,云南,昆明,650500
  3. 云南省地理空间信息技术工程技术研究中心,云南,昆明,650500
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.20230525.001
  CLC： P334;P338;P333.1
- Published：2023
- 稿件说明：
移动端阅览
Li Jinmei, Zhou Jingchun, Wang Jinliang. Optimization of SCS-CN Model in a Mountainous Area on West Bank of Dianchi Lake[J]. Bulletin of Soiland Water Conservation, 2023, 43(3): 139-147.
DOI：

Li Jinmei, Zhou Jingchun, Wang Jinliang. Optimization of SCS-CN Model in a Mountainous Area on West Bank of Dianchi Lake[J]. Bulletin of Soiland Water Conservation, 2023, 43(3): 139-147. DOI： 10.13961/j.cnki.stbctb.20230525.001.

摘要

[目的] 模拟计算滇池西岸山洪产流量，为该区面山截洪设施的修建，减少山洪灾害和保护滇池水环境提供科学决策的依据。[方法] 基于SCS-CN产流模型，选取昆明滇池西岸山地区域2019

2020年的33场实测降雨径流数据，通过坡度结合前期影响雨量对CN值进行分级优化设定。采用穷举法对λ进行优化取值。再以2021年的19场实测降雨径流数据验证优化SCS-CN模型的模拟精度及其参数适用性。[结果] ①采用坡度及前期影响雨量分级优化得到的CN值仅适用于降雨量＜30 mm的中小型降雨；对于降雨量≥30 mm的强降雨，需根据场次降雨前5 d的降雨总量采用线性内插法对标准SCS-CN模型中AMC等级进行修改，再确定对应的坡度CN修正值。②适合滇池西岸山地区域中小型降雨和强降雨的最佳初损系数λ值分别为0.15，0.2。③经验证，中小型降雨和强降雨下的NSE值分别为0.852 2，0.797 8，模型合格率分别为93.33%和75%。[结论] 优化的SCS-CN模型用于滇池西岸山地区域＜30 mm的中小型降雨和≥30 mm的强降雨情况下的产流计算是可行的，可为该区地表径流预测及SCS-CN模型的进一步优化提供科学依据和理论参考。

Abstract

[Objective] The mountain flood runoff on the west bank of Dianchi Lake was simulated and calculated in order to provide a scientific basis for constructing flood interception facilities

reducing mountain flood disasters

and protecting the water environment of Dianchi Lake.[Methods] We used the SCS-CN runoff model with 33 field-measured rainfall-runoff datasets for the mountainous area on the west bank of Dianchi Lake in Kunming City in 2019 and 2020. The curve number (CN) value was optimized and set according to the slope combined with previous rainfall. The initial abstraction coefficient (λ) was optimized by the exhaust method. Simulation accuracy and parameter applicability for the optimized SCS-CN model were verified by 19 field-measured rainfall-runoff datasets in 2021.[Results] ① The CN value obtained by the slope and previous rainfall classification optimization was only suitable for small and medium rainfall amounts (<30 mm). For heavy rainfall (≥ 30 mm)

the antecedent moisture condition (AMC) in the standard SCS-CN model should be modified by linear interpolation according to the total rainfall amount in the previous five days

and then the corresponding slope CN correction value should be determined. ② The optimal λ values for small and medium rainfall events and for heavy rainfall events in the mountainous area on the west bank of Dianchi Lake were 0.15 and 0.20

respectively. ③ The NSE values after model verification for small and medium rainfall and for heavy rainfall were 0.852 2 and 0.797 8

respectively

and the model accuracy rates were 93.33% and 75%

respectively.[Conclusion] The optimized SCS-CN model was considered to be feasible for calculating runoff under the conditions of small and medium rainfall (<30 mm) and heavy rainfall (≥ 30 mm) in the mountainous area on the west bank of Dianchi Lake

and therefore can provide a scientific basis and theoretical reference for the prediction of surface runoff and the further optimization of the SCS-CN model in this area.

关键词

Keywords

references

李绅东,宋昭义.云南省小流域山洪灾害防治非工程措施建设实践[J].云南水力发电,2020,36(2):198-201.

张永明,蒲秉华,王鹏全,等.兰州新区SCS径流模型改进与应用研究[J].人民黄河,2021,43(3):24-28.

许富奎.昆明市滇池西岸面山洪水拦截工程及水环境综合整治环境影响报告表[EB/OL].昆明市西山区人民政府,(2020-09-27)[2022-09-27].https://www.kmxs.gov.cn/c/2020-09-27/4534807.shtml.

谷康民,赵允格,高丽倩,等.黄土高原生物结皮对SCS-CN模型初损率的影响[J].应用生态学报,2021,32(12):4186-4194.

罗棉心.SCS-CN模型参数在山地区域径流预测中的优化研究[D].重庆:重庆交通大学,2020.

Kowalik T, Walega A. Estimation of CN parameter for small agricultural watersheds using asymptotic functions[J]. Water, 2015,7(3):939-955.

Hawkins R H. Asymptotic determination of runoff curve numbers from data[J]. Journal of Irrigation and Drainage Engineering, 1993,119(2):334-345.

Soulis K X, Valiantzas J D. SCS-CN parameter determination using rainfall-runoff data in heterogeneous watersheds-the two-CN system approach[J]. Hydrology and Earth System Sciences, 2012,16(153):1001-1015.

符素华,王向亮,王红叶,等.SCS-CN径流模型中CN值确定方法研究[J].干旱区地理,2012,35(3):415-421.

Huang Mingbin, Gallichand J, Wang Zhanli, et al. A modification to the soil conservation service curve number method for steep slopes in the Loess Plateau of China[J]. Hydrological Processes, 2006,20(3):579-589.

徐宗学.水文模型[M].北京:科学出版社,2009.

范彩霞.改进径流曲线模型在北京地区小流域地表径流计算中的应用[D].河北邯郸:河北工程大学,2019.

Shi Zhihua, Chen Liding, Fang Nufang, et al. Research on the SCS-CN initial abstraction ratio using rainfall-runoff event analysis in the Three Gorges Area, China[J]. Catena, 2009,77(1):1-7.

Woodward D E, Hawkins R H, Jiang Ruiyun, et al. Runoff curve number method:Examination of the initial abstraction ratio[C]//World Water & Environmental Resources Congress 2003. Philadelphia,Pennsylvania, USA. Reston, VA:American Society of Civil Engineers, 2003:1-10.

陈正维,刘兴年,朱波.基于SCS-CN模型的紫色土坡地径流预测[J].农业工程学报,2014,30(7):72-81.

徐赞,吴磊,吴永祥,等.SCS-CN模型改进及其径流预测[J].水利水运工程学报,2018(3):32-39.

周淑梅,雷廷武.黄土丘陵沟壑区典型小流域SCS-CN方法初损率取值研究[J].中国农业科学,2011,44(20):4240-4247.

曹言,易琦,王杰,等.滇池流域雨水资源潜力与时空分布特征[J].水资源与水工程学报,2016,27(6):60-66.

Soil Conservation Service. National engineering handbook (Section 4:hydrology)[R]. Washington D C:US Department of Agriculture Soil Conservation Service, 1972.

曹言,王杰,柴素盈,等.昆明市区地表径流影响因子分析[J].水土保持研究,2019,26(2):139-144.

栾承梅,梁忠民,仇少鹏,等.山丘区小流域SCS-Nash产汇流模型应用[J].南水北调与水利科技(中英文),2021,19(2):246-254.

Mockus V. Estimation of total (and peak rates of) surface runoff for individual storms[M]//Interim Survey Report Grand (Neosho) River Watershed. Exhibit A of Appendix B.U.S. Department of Agriculture C (United States Government Printing Office:Washington, D.C), 1949:20-25.

邓景成,高鹏,穆兴民,等.模拟降雨条件下黄土区SCS模型的参数率定[J].水土保持研究,2018,25(5):205-210.

张晓涵,桑国庆.SCS-CN模型在小流域产流计算中的应用[J].人民黄河,2022,44(5):35-39.

陈运强,王荣远.土地利用空间格局与坡度坡向的关系[J].测绘与空间地理信息,2015,38(10):171-174.

符素华,王红叶,王向亮,等.北京地区径流曲线数模型中的径流曲线数[J].地理研究,2013,32(5):797-807.

Views

506

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Effects of Preferential Flow on Infiltrated Flow and Surface Runoff in the Granite Area of the Three Gorges

Simulation Study of Characteristics of Runoff and Sediment Yield in the Hill Area with Purple Soils

Runoff ,Soil Erosion and Sediment Yield on Sloping Land of Red Soils Derived from Granite on Slopes with Different Landuses in South China

Effect of Different Vegetation Types on Runoff Generation of Slope Land in Jinyun Mountains of Chongqing City

Factors Influencing Surface Runoff in the Granitic Gneiss of Taihang Mountains

Related Author

Cheng Jinhua

Zhang Hongjiang

Shi Yuhu

Cheng Yun

XIN Wei

ZHU Bo

TANG Jia-liang

LUO Zhuan-xi

Related Institution

Forestry Science Institute of Hubei Province

College of Soil and Water Conservation, Beijing Forestry University

Institute of Mountain Hazards and Environment,Chinese Academy of Sciences

School of Resources and Environment,Southwest University

Soil and Water Conservation Monitoring Station of Hu’nan Province,,Hu’nan

⁰