基于SWAT模型的绍兴城市径流时空演变规律分析
发布时间：2018-07-18 07:27
【摘要】：为克服较大尺度城市径流的定量难题,引入了分布式流域水文模型(SWAT),对绍兴城市径流开展了定量模拟及时空演变规律分析。经DEM建模分析,将绍兴城市置于合适尺度的流域内建立SWAT模型;在敏感性分析的基础上,利用径流监测数据对模型进行了校准与验证,模型评价结果表明,所有站点校准期与验证期的平均相对误差Re(-5.29%~8.81%)、判定系数R2(0.91~0.96)和效率系数Ens(0.90~0.94)均满足年水平和月水平径流定量要求。在此基础上,以1992~2011年的降雨为驱动模拟得到了子流域的月径流数据;最后利用地统计学方法(GSM)对绍兴城市径流的时空演变规律进行了分析,并得到了关键源区,为绍兴城市水资源保护与利用提供科学依据。
[Abstract]:In order to overcome the quantitative problem of large-scale urban runoff, a distributed watershed hydrological model (SWAT) was introduced to simulate the urban runoff in Shaoxing city and analyze the temporal and spatial evolution law. Through Dem modeling and analysis, the SWAT model is established by placing Shaoxing city in a watershed of suitable scale, and the model is calibrated and verified by runoff monitoring data on the basis of sensitivity analysis. The average relative error between calibration period and verification period is re (-5.29 / 8.81%), the determination coefficient R2 (0.91g / 0.96) and the efficiency coefficient Ens (0.90 ~ 0.94) meet the quantitative requirements of annual and monthly levels of runoff. On this basis, the monthly runoff data of the sub-watershed are obtained by using the rainfall from 1992 to 2011 as the driving simulation. Finally, the temporal and spatial evolution law of the urban runoff in Shaoxing is analyzed by using the geostatistics method (GSM), and the key source areas are obtained. It provides scientific basis for the protection and utilization of water resources in Shaoxing city.
【作者单位】： 绍兴文理学院元培学院建筑工程系;绍兴市环境监测中心站;
【基金】：绍兴市科技计划项目(2014B70041,2014B70049)
【分类号】：P333
，
本文编号：2131187
[Abstract]:In order to overcome the quantitative problem of large-scale urban runoff, a distributed watershed hydrological model (SWAT) was introduced to simulate the urban runoff in Shaoxing city and analyze the temporal and spatial evolution law. Through Dem modeling and analysis, the SWAT model is established by placing Shaoxing city in a watershed of suitable scale, and the model is calibrated and verified by runoff monitoring data on the basis of sensitivity analysis. The average relative error between calibration period and verification period is re (-5.29 / 8.81%), the determination coefficient R2 (0.91g / 0.96) and the efficiency coefficient Ens (0.90 ~ 0.94) meet the quantitative requirements of annual and monthly levels of runoff. On this basis, the monthly runoff data of the sub-watershed are obtained by using the rainfall from 1992 to 2011 as the driving simulation. Finally, the temporal and spatial evolution law of the urban runoff in Shaoxing is analyzed by using the geostatistics method (GSM), and the key source areas are obtained. It provides scientific basis for the protection and utilization of water resources in Shaoxing city.
【作者单位】： 绍兴文理学院元培学院建筑工程系;绍兴市环境监测中心站;
【基金】：绍兴市科技计划项目(2014B70041,2014B70049)
【分类号】：P333
，
本文编号：2131187
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