PDF Download

[1]LI Feng-huan,LUO Lian-cong,ZHAI Hai-tao,et al.Simulation of Runoff Parameters with SWAT in Dashahe Reservoir Watershed[J].Research of Soil and Water Conservation,2014,21(02):87-93.

Copy

Simulation of Runoff Parameters with SWAT in Dashahe Reservoir Watershed

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 21 Number of periods: 2014 02 Page number: 87-93 Column: Public date: 2014-04-28

Title:: Simulation of Runoff Parameters with SWAT in Dashahe Reservoir Watershed

Author(s):: LI Feng-huan¹, LUO Lian-cong^2,3, ZHAI Hai-tao^1,2, SUN Ying-bei^1,2, LI Hui-yun^3,4; 1. Department of Ecology, Ji’nan University, Guangzhou 510632, China;
2. Institute of Resources, Environment and Sustainable Development, Ji’nan University, Guangzhou 510632. China;
3. Nanjing Institute of Geography & Limnology, Nanjing 210008, China;
4. Key Laboratory of Aquatic Eutrophication and Control of Harmful Algal Blooms of Guangdong Higher Education Institutes, Guangzhou 510632, China

Keywords:: ArcSWAT2009; runoff simulation; sensitivity analysis; auto-calibration

CLC:: TV121.4

DOI:: -

Abstract:: Dashahe Reservoir is the main source of drinking water for Kaiping City, Guangdong Province. With increasing pollution of inflow waters arising from developments of animal farming, industry and agriculture, the reservoir is now eutrophic and the external loadings need to be reduced for water quality regulation. For testing its availability for subtropical area and water environment management, ArcSWAT2009 was applied to simulate and evaluate the river inflows of Dashahe Reservoir. LH-OAT method was used for sensitivity analysis. 15 parameters were sensitive to the simulation of river inflows. Auto-calibration and validation were conducted based on observed inflows data during 2003—2012. The results indicated that the LH-OAT method could effectively find out the sensitive parameters. The monthly simulations had a better result than the daily simulations, the monthly coefficients of determination (R²) were 0.884 and 0.911 and Nash-suttcliffes coefficients were 0.879 and 0.907, respectively, which suggests that SCE-UA is effective for SWAT calibration at Dashahe Reservoir catchment and SWAT model might be externally applied for water environment management in this area.

References:: [1] Douglas-Mankin K R, Srinivasan R, Arnold J G. Soil and Water Assessment Tool (SWAT) model:Current developments and applications[J]. Transactions of the ASABE,2010,53(5):1423-1431.
[2] Gassman P W, Reyes M R, Green C H, et al. The soil and water assessment tools:historical development, applications, and future research directions[J]. Transactions of the ASABE,2007,50(4):1211-1250.
[3] 王中根,刘明昌,黄友波.SWAT模型的原理、结构及应用研究[J].地理科学进展,2003,22(1):79-86.
[4] 赖格英,吴敦银,钟业喜,等.SWAT模型的开发和应用进展[J].河海大学学报:自然科学版,2012,40(3):243-250.
[5] 杨菁荟,张万昌.SWAT模型及其在水环境非点源污染中的应用研究进展[J].水土保持研究,2009,16(5):160-266.
[6] Neitsch S L, Arnold J G, Kiniry J R, et al. Soil and water assessment tool:theoretical documentation (Version 2009)[EB/OL].[2013-09-18].
[7] Griensven A V. Sensitivity, auto-calibration, uncertainty and model evaluation in SWAT2005[EB/OL].[2013-09-18].
[8] LEI Xiaohui, CHEN Ning, JIANG Yunzhong. Parameters Auto Calibration With Modified SWAT Model in Beijing[EB/OL].[2013-9-18].
[9] Srinivasan R, Zhang X, Arnold J. SWAT ungauged:hydrological budget and crop yield predictions in the Upper Mississippi River Basin[J]. Transactions of the ASABE,2010,53(5):1533-1546.
[10] 朱丽,秦富仓,姚云峰,等.SWAT模型灵敏性分析模块在中尺度流域的应用:以密云县红门川流域为例[J].水土保持研究,2011,18(1):161-165.
[11] 李慧,靳昊,雷晓云,等.SWAT模型参数敏感性分析与自动率定的重要性研究:以玛纳斯河径流模拟为例[J].水资源与水工程学报,2010,21(1):79-82.
[12] 梁绍良.开平市大沙河水库灌溉供水量平衡计算分析[J].南昌水专学报,2004,23(3):37-41.
[13] 江门市地方志编纂委员会.江门年鉴[M].中国县镇年鉴社,2012.
[14] 杨尚,罗潋葱,翟海涛,等.大沙河主要入库河流氮磷营养输入分析[J].生态科学,2013,32(2):158-164.
[15] Nielsen A, Trolle D, Me W, et al. Assessing ways to combat eutrophication in a Chinese drinking water reservoir using SWAT[J]. Marine and Freshwater Research,2013,64(5):475-492.
[16] Nachtergaele F, Velthuizen H V, Verelst L, et al. HWSD_Documentation[EB/OL].[2013-09-18].
[17] Arnold J G, Moriasi D N, Gassman P W, et al. SWAT:Model Use, Calibration, And Validation[J]. Transactions of the ASABE,2012,55(4):1491-1508.
[18] Michael W. Van Liew. Guidelines for Using the Sensitivity Analysis and Auto-calibration Tools for Multi-gage or Multi-step Calibration in SWAT[EB/OL].[2013-09-18].
[19] 杨军军,高小红,李其江,等.湟水流域SWAT模型构建及参数不确定性分析[J].水土保持研究,2013,20(1):83-88.
[20] 赫芳华,陈利群,刘昌明,等.降雨的空间不均匀性对模拟产流量和产沙量不确定的影响[J].地理科学进展,2003,22(5):446-452.
[21] 邱临静,郑粉莉.DEM格式分辨率和子流域划分对杏子河流域水文模拟的影响[J].生态学报,2012,32(12):3754-3763.
[22] 欧春平,夏军,王中根,等.土地利用/覆被变化对SWAT模型水循环模拟结果的影响研究:以海河流域为例[J].水利发电学报,2009,28(4):124-129.
[23] 赖格英,刘志勇,刘胤文.流域土地利用/覆盖与植被变化的水文响应模拟研究[J].水土保持研究,2008,15(4):10-14.
[24] 翟晓燕,夏军,张永勇.基于SWAT模型的沙澧河流域径流模拟[J].武汉大学学报:工学版,2011,44(2):142-145,155.
[25] 袁军营,苏保林,李卉,等.基于SWAT模型的柴河水库流域径流模拟研究[J].北京师范大学学报:自然科学版,2010,46(3):361-365.

Similar References:

Memo

Last Update: 1900-01-01