受人类活动和重大水利项目的影响,SWAT模型在对河道参数和平均坡长的计算中存在一些缺陷。通过遥感技术和经验公式对不合理的参数进行了修正。在对参数进行修正后,选取对水文、水质过程较为敏感的参数运用SWAT-CUP软件对模型进行优化,其率定和验证精度均达到了较为满意的效果(径流量R2在0.764 3~0.967 4之间、NS在0.754 8~0.899 8之间,总氮负荷R2在0.546 2~0.659 9之间、NS在0.526 8~0.638 8之间),结果表明在其他参数不变的情况下,这种修正方式不仅可以更好反应流域内真实的地形地貌及河道信息,同时可提高模型月尺度径流的模拟精度(R2从0.834 9提升到0.871 9,NS从0.698 7提升到0.771 8)。可实际应用于德泽水库径流区。
Abstract
Affected by human activities and major water conservancy projects, the SWAT model has some shortcomings in the calculation of river parameters and average slope length. We use remote sensing technology and empirical formulas to modify the unreasonable parameters. After modifying the parameters, we select parameters that are more sensitive to hydrology and water quality processes and employ SWAT-CUP software to optimize the model. The calibration and verification accuracy are satisfactory. The R2 and NS of runoff is 0.764 3-0.967 4 and 0.754 8-0.899 8, respectively, and the R2 and NS of total nitrogen load is 0.546 2-0.659 9 and 0.526 8-0.638 8, respectively. The results indicate that given the other parameters unchanged,the present method better reflects the real topography and river channel information in the basin, and also improves the simulation accuracy of the model's monthly runoff. R2 increased from 0.834 9 to 0.871 9, and NS increased from 0.698 7 to 0.771 8.
关键词
SWAT /
参数修正 /
河道参数 /
平均坡长 /
遥感技术 /
经验公式 /
德泽水库
Key words
SWAT /
parameter modification /
channel parameters /
average slope length /
remote sensing technology /
empirical formulas /
Deze reservoir
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参考文献
[1] 刘洪延.SWAT模型研究及应用进展[J].亚热带水土保持,2019,31(2):34-37.
[2] 赖格英,吴敦银,钟业喜,等.SWAT模型的开发与应用进展[J].河海大学学报(自然科学版),2012,40(3):243-251.
[3] 孟现勇,王 浩,雷晓辉,等.基于CMDAS驱动SWAT模式的精博河流域水文相关分量模拟、验证及分析[J].生态学报,2017,37(21):7114-7127.
[4] 王秋云,陈志彪,杨满根,等.基于SWAT模型的无资料流域产流产沙模拟[J].亚热带资源与环境学报,2014,9(1):24-29.
[5] 赵永强,李为超,蒲欢欢,等.基于ArcSWAT模型的老鹳河流域面源氮识别和分析[J].水生态学杂志,2021,42(6):1-6.
[6] LIM K J,KIM J G.Development of SWAT ArcView GIS Path II to Reglect Steep Topography in Korea[D].Korea: Kangwon National University,2007:1-56.
[7] 魏 国,姜 海,何俊仕.流域平均山坡长度的提取及其在SWAT模型中的应用[J].中国农村水利水电,2007, 296(6):24-26,28.
[8] 朱思静. 基于Sentinel-1A河道参数修正的SWAT流域径流模拟研究[D].赣州:江西理工大学,2020.
[9] WIEDER W R, BOEHNERT J, BONAN G B, et al. Regridded Harmonized World Soil Database v1.2[EB/OL]. (2014-09-15)[2021-10-22]https://daac.ornl.gov/SOILS/guides/HWSD.html
[10] WANG H, MENG X Y, CAI S Y, et al. The China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) and It's Application in the Heihe River Basin in China[J]. DOI:10.20944/PREPRINTS201612.0091.V1.
[11] 史博太,常庆瑞,崔小涛,等.基于Sentinel-2多光谱数据和机器学习算法的冬小麦LAI遥感估算[J].麦类作物学报,2021,41(6):752-761.
[12] 朱长明,骆剑承,沈占锋,等.DEM辅助下的河道细小线性水体自适应迭代提取[J].测绘学报,2013,42(2):277-283.
[13] 赵冰雪,王 雷,胡和兵.基于OLI影像和DEM的山区水体提取方法[J].水文,2019,39(4):34-39,83.
[14] GAO Bo-cai. NDWI—A Normalized Difference Water Index for Remote Sensing of Vegetation Liquid Water from Space[J]. Remote Sensing of Environment, 1996, 58(3):257-266.
[15] 徐涵秋.一种基于指数的新型遥感建筑用地指数及其生态环境意义[J].遥感技术与应用,2007,95(3):301-308.
[16] 李均力,盛永伟,骆剑承.喜马拉雅山地区冰湖信息的遥感自动化提取[J].遥感学报,2011,15(1):29-43.
[17] ZHANG Da-kun.Extend Closing Operation in Morphology and Its Application in Image Processing[C]. DOI:10.1109/ITCS.2009.268.
[18] HEO S, KIM N, PARK Y S, et al. Evaluation of Effects on SWAT Simulated Hydrology and Sediment Behaviors of SWAT Watershed Delineation using SWAT ArcView GIS Extension Patch[J]. Corpus ID: 221032327.
[19] KIM J G, PARK Y, YOO D, et al. Development of a SWAT ArcView GIS Patch for Accurate Analysis of Soil Erosion and Sediment Yield at Steep Sloping Watershed[C]. DOI:10.13031/2013.25106.
[20] SANTHI C, ARNOLD J, WILLIAMS J R, et al. Application of a Watershed Model to Evaluate Management Effects on Point and Nonpoint Source Pollution[J]. DOI:10.13031/2013.7041.
[21] NASH J E, SUTCLIFFER M. River Flow Forecasting Through Conceptual Models Part 1-A Discussion of Principles[J]. Journal of Hydrology, 1970, 10(3): 282-290.
[22] 田 扬,肖桂荣.基于CMADS驱动下SWAT模型的敖江流域径流模拟[J].raybet体育在线
院报,2020,37(11):27-32.
[23] 张 佳,霍艾迪,张 骏.基于SWAT模型的长江源区巴塘河流域径流模拟[J].raybet体育在线
院报,2016,33(5):18-22,27.
[24] 冯麒宇,胡海英,刘俊达.有限资料条件下基于SWAT模型的泗合水流域非点源污染模拟[J].水土保持研究,2021,28(5):128-133.
[25] 刘 武,沈吉敏,陈忠林.基于SWAT模型的东北地区某流域面源污染研究[J].东北水利水电,2020,38(11):42-44,50,72.
基金
云南省教育厅基金项目(2020Y0177,2020Y0186,2021J0126)
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