SWAT模型在漳河上游流域的应用研究
发布时间:2018-10-20 18:17
【摘要】:随着计算机技术与遥感技术的快速发展,分布式水文模型在国内外的应用得到了快速地发展,漳河上游浊漳河关河水库以上流域的位于山西省境内,是浊漳河的北源。为了更好地对漳河上游区域降雨径流进行预测,为流域管理提供技术支撑。本文选取浊漳河北源关河水库为流域出口,利用SWAT模型对该水库所控制的水文区域进行了降雨径流分析研究,研究内容和成果如下: 一、方法选择。基于现有的成果,阐述了SWAT模型基本理论的进展,研究方法和分布式水文模型的研究,并利用地理信息系统提取流域水文特性。通过资料的收集与整理,利用ArcGIS9.3软件对流域的DEM、土壤及土地利用图进行了相关处理分析,并提取了坡度图。通过对数据的分析比较,本文选取了由美国农业部研发的SWAT即Soil and WaterAssessment Tool模型作为基础水文模型。 二、模型建立。通过对数据的处理、相应参数的计算、水文气象数据的整理、蓄饮水工程及区域经济的分析,将相关参数结合其物理意义逐一调整分析后输入模型相应参数,构建起模型的数据库。 三、通过对1990-2009年该区域的月径流进行模拟,,通过选取校准期与验证期,对模型进行校正分析,探讨了关河水库以上研究区域降水径流的关系,以及模型在该区域的适用性。结果证明:模拟评价系数均在要求范围以内,SWAT模型在关河水库以上研究区域具有较好的适用性,模型的年径流模拟结果较好。但与此同时,模型的月径流模拟在平水年与枯水年份较满意,而在少数特殊丰水年份的月模拟结果存在较大偏差。
[Abstract]:With the rapid development of computer technology and remote sensing technology, the application of distributed hydrological model in China and abroad has developed rapidly. The basin above the Zhuozhang River Guanhe Reservoir in the upper reaches of the Zhangzhou River is located in Shanxi Province and is the northern source of the Zhuozhang River. In order to better forecast rainfall runoff in the upper reaches of Zhanghe River, it provides technical support for watershed management. This paper selects Yuanguanhe Reservoir in Zhuozhang and Hebei Province as the outlet of the basin, and makes use of SWAT model to analyze the rainfall runoff in the hydrological area controlled by the reservoir. The research contents and results are as follows: first, the method is selected. Based on the existing results, the advances in the basic theory of SWAT model, research methods and distributed hydrological models are described, and watershed hydrological characteristics are extracted by GIS. Through the collection and collation of the data, the DEM, soil and land use maps of the watershed were processed and analyzed by ArcGIS9.3 software, and the slope map was extracted. Through the analysis and comparison of the data, the SWAT or Soil and WaterAssessment Tool model developed by USDA is selected as the basic hydrological model. Second, model establishment. Through the processing of the data, the calculation of the corresponding parameters, the arrangement of the hydrometeorological data, the analysis of the water storage project and the regional economy, the relevant parameters are adjusted one by one with their physical meaning and the corresponding parameters of the model are inputted into the model. Build the database of the model. Thirdly, through the simulation of monthly runoff in the area from 1990 to 2009, and by selecting the calibration period and the verification period, the model is corrected and analyzed, and the relationship between precipitation runoff and the applicability of the model in the study area above the Guanhe Reservoir is discussed. The results show that the simulation evaluation coefficients are within the required range, the SWAT model has a better applicability in the study area above the Guanhe Reservoir, and the annual runoff simulation results of the model are better. But at the same time, the monthly runoff simulation of the model is satisfactory in the normal year and the dry year, but the monthly simulation result in a few special high water year has a big deviation.
【学位授予单位】:河北工程大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:P333
本文编号:2283996
[Abstract]:With the rapid development of computer technology and remote sensing technology, the application of distributed hydrological model in China and abroad has developed rapidly. The basin above the Zhuozhang River Guanhe Reservoir in the upper reaches of the Zhangzhou River is located in Shanxi Province and is the northern source of the Zhuozhang River. In order to better forecast rainfall runoff in the upper reaches of Zhanghe River, it provides technical support for watershed management. This paper selects Yuanguanhe Reservoir in Zhuozhang and Hebei Province as the outlet of the basin, and makes use of SWAT model to analyze the rainfall runoff in the hydrological area controlled by the reservoir. The research contents and results are as follows: first, the method is selected. Based on the existing results, the advances in the basic theory of SWAT model, research methods and distributed hydrological models are described, and watershed hydrological characteristics are extracted by GIS. Through the collection and collation of the data, the DEM, soil and land use maps of the watershed were processed and analyzed by ArcGIS9.3 software, and the slope map was extracted. Through the analysis and comparison of the data, the SWAT or Soil and WaterAssessment Tool model developed by USDA is selected as the basic hydrological model. Second, model establishment. Through the processing of the data, the calculation of the corresponding parameters, the arrangement of the hydrometeorological data, the analysis of the water storage project and the regional economy, the relevant parameters are adjusted one by one with their physical meaning and the corresponding parameters of the model are inputted into the model. Build the database of the model. Thirdly, through the simulation of monthly runoff in the area from 1990 to 2009, and by selecting the calibration period and the verification period, the model is corrected and analyzed, and the relationship between precipitation runoff and the applicability of the model in the study area above the Guanhe Reservoir is discussed. The results show that the simulation evaluation coefficients are within the required range, the SWAT model has a better applicability in the study area above the Guanhe Reservoir, and the annual runoff simulation results of the model are better. But at the same time, the monthly runoff simulation of the model is satisfactory in the normal year and the dry year, but the monthly simulation result in a few special high water year has a big deviation.
【学位授予单位】:河北工程大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:P333
【参考文献】
相关期刊论文 前3条
1 邓慧平,李秀彬,张明,陈军锋,张镱锂;气候与地表覆被变化对梭磨河流域水文影响的分析[J];地理科学;2001年06期
2 陈军锋,李秀彬,张明;模型模拟梭磨河流域气候波动和土地覆被变化对流域水文的影响[J];中国科学(D辑:地球科学);2004年07期
3 王建鹏;崔远来;;水稻灌区水量转化模型及其模拟效率分析[J];农业工程学报;2011年01期
本文编号:2283996
本文链接:https://www.wllwen.com/jingjilunwen/quyujingjilunwen/2283996.html