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| 基于数字滤波法和SWAT模型的灞河流域基流时空变化特征研究 | |
| 引用本文： | 胡胜,杨冬冬,吴江,高宇,邱海军,曹明明,宋进喜,万虹麟.基于数字滤波法和SWAT模型的灞河流域基流时空变化特征研究[J].地理科学,2017,37(3):455-463. |
| 作者姓名： | 胡胜 杨冬冬 吴江 高宇 邱海军 曹明明 宋进喜 万虹麟 |
| 作者单位： | 1.西北大学城市与环境学院,陕西 西安 710127 2.西北大学地表系统与灾害研究院,陕西 西安 710127 3.陕西省土地工程建设集团,陕西 西安 710175 4.河北水利电力学院水利工程系,河北 沧州 061001 |
| 基金项目： | 中国科学院国际合作局对外合作重点项目（131551KYSB20160002)、国家自然科学基金项目（41401602）、陕西省自然科学基础研究计划项目（2014JQ2-4021）、陕西省重点科技创新团队计划项目（2014KCT-27）、西北大学研究生自主创新项目（YZZ15011）资助 |
| 摘 要： | 将国内外应用较广的数字滤波法和分布式水文模型SWAT相结合,在进行基流时间特征分析的基础上,通过修正基流退水系数α、模型效率评价、重新运行模型、GIS空间插值和趋势分析等方法,创新性地实现了基流空间特征的可视化表达。研究结果表明：① 2001~2012年灞河流域年均基流指数（BFI）为0.43,总体呈增加的趋势。年降水量与年径流、年基流均呈明显的正相关关系,与年基流指数呈明显的负相关关系;② 基流年内变化较为稳定,在时间上存在秋季>春季>夏季>冬季、汛期>非汛期的关系。枯水期的基流指数高达0.78,表明基流是枯水期河流的主要补给来源;③ 灞河流域基流在空间上表现为自东南向西北、自上游向下游逐渐增加的趋势,这种空间分异规律是由流域的地势和河流流向决定的。 |
| 关 键 词： | 数字滤波法 SWAT模型 SWAT Bflow 时空变化特征 基流 灞河流域 |
| 收稿时间： | 2016-04-15 |
| 修稿时间： | 2016-06-20 |
Spatiotemporal Variation Characteristics of Baseflow in the Bahe River Basin Based on Digital Filter Method and SWAT Model |
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| Sheng Hu,Dongdong Yang,Jiang Wu,Yu Gao,Haijun Qiu,Mingming Cao,Jinxi Song,Honglin Wan.Spatiotemporal Variation Characteristics of Baseflow in the Bahe River Basin Based on Digital Filter Method and SWAT Model[J].Scientia Geographica Sinica,2017,37(3):455-463. | |
| Authors: | Sheng Hu Dongdong Yang Jiang Wu Yu Gao Haijun Qiu Mingming Cao Jinxi Song Honglin Wan |
| Institution: | 1. College of Urban and Environmental Science,Northwest University, Xi’an 710127, Shaanxi, China 2. Institute of Earth Surface System and Hazards, Northwest University, Xi’an 710127, Shaanxi, China 3. Shaanxi Provincial Land Engineering Construction Group, Xi’an 710175, Shaanxi, China 4. Department of Water Conservancy, Hebei University of Water Resources and Electric Engineering, Cangzhou 061001, Hebei, China |
| Abstract: | Baseflow plays an important role in maintaining the health and the ecological functions of rivers. Baseflow separation is also a hot topic of hydrology all the time. The article combines the Digital Filter Method and SWAT which is a distributed hydrological model and widely used at home and abroad. It creatively realizes the visual representation of the spatial features of baseflow on the basis of analyzing the time characteristics of baseflow and by correcting baseflow alpha factor, evaluating the model efficiency, rerunning the SWAT model, GIS spatial interpolation and trend analysis etc. The results show that: 1) The annual average Baseflow Index (BFI) of the Bahe River Basin from 2001 to 2012 is 0.43, presenting an increasing trend on the whole. The annual precipitation has a positive correlation with annual runoff and annual baseflow; but it obviously shows a negative relation between annual precipitation and annual Baseflow Index (BFI); 2) The change of baseflow is relatively stable within a year, and the base flow in different seasons tends to be: Autumn> Spring> Summer>Winter, while flood season is bigger than that of the non-flood season. BFI is as high as 0.78 in dry seasons, which shows that baseflow is the main replenishment source of river in dry seasons; 3) The baseflow of the Bahe River Basin tends to be an increasing tendency from Southeast to Northwest and from upstream to downstream in spatial terms. Also, such a spatial variation law is determined by the terrain of the basin and the direction of the river. |
| Keywords: | Digital Filter Method SWAT Model SWAT Bflow spatiotemporal variation characteristics baseflow the Bahe River Basin |
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