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首页> 外文期刊>Computers & geosciences >Development of genetic algorithm-based optimization module in WHAT system for hydrograph analysis and model application
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Development of genetic algorithm-based optimization module in WHAT system for hydrograph analysis and model application

机译：WHAT系统中基于遗传算法的优化模块的水文分析与模型开发

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摘要

Many hydrologic and water quality computer models have been developed and applied to assess hydrologic and water quality impacts of land use changes. These models are typically calibrated and validated prior to their application. The Long-Term Hydrologic Impact Assessment (L-THIA) model was applied to the Little Eagle Creek (LEC) watershed and compared with the filtered direct runoff using BFLOW and the Eckhardt digital filter (with a default BFI_(max) value of 0.80 and filter parameter value of 0.98), both available in the Web GIS-based Hydrograph Analysis Tool, called WHAT. The R~2 value and the Nash-Sutcliffe coefficient values were 0.68 and 0.64 with BFLOW, and 0.66 and 0.63 with the Eckhardt digital filter. Although these results indicate that the L-THIA model estimates direct runoff reasonably well, the filtered direct runoff values using BFLOW and Eckhardt digital filter with the default BFI_(max) and filter parameter values do not reflect hydrological and hydrogeological situations in the LEC watershed. Thus, a BFI_(max) GA-Analyzer module (BFI_(max) Genetic Algorithm-Analyzer module) was developed and integrated into the WHAT system for determination of the optimum BFI_(max) parameter and filter parameter of the Eckhardt digital filter. With the automated recession curve analysis method and BFI_(max) GA-Analyzer module of the WHAT system, the optimum BFI_(max) value of 0.491 and filter parameter value of 0.987 were determined for the LEC watershed. The comparison of L-THIA estimates with filtered direct runoff using an optimized BFI_(max) and filter parameter resulted in an R~2 value of 0.66 and the Nash-Sutcliffe coefficient value of 0.63. However, L-THIA estimates calibrated with the optimized BFI_(max) and filter parameter increased by 33% and estimated NPS pollutant loadings increased by more than 20%. This indicates L-THIA model direct runoff estimates can be incorrect by 33% and NPS pollutant loading estimation by more than 20%, if the accuracy of the baseflow separation method is not validated for the study watershed prior to model comparison. This study shows the importance of baseflow separation in hydrologic and water quality modeling using the L-THIA model.
机译：已经开发了许多水文和水质计算机模型，并将其用于评估土地利用变化对水文和水质的影响。这些模型通常在应用之前经过校准和验证。将长期水文影响评估（L-THIA）模型应用于Little Eagle Creek（LEC）流域，并与使用BFLOW和Eckhardt数字滤波器（默认BFI_（max）值为0.80和过滤器参数值为0.98），都可以在基于Web GIS的水文图形分析工具（称为WHAT）中使用。对于BFLOW，R〜2值和Nash-Sutcliffe系数值分别为0.68和0.64，对于Eckhardt数字滤波器，其Nash-Sutcliffe系数值为0.66和0.63。尽管这些结果表明L-THIA模型可以很好地估算直接径流，但是使用BFLOW和Eckhardt数字滤波器（默认值为BFI_（max））和过滤器参数值过滤的直接径流值无法反映LEC流域的水文和水文地质情况。因此，开发了BFI_（max）GA分析器模块（BFI_（max）遗传算法-分析器模块），并将其集成到WHAT系统中，以确定Eckhardt数字滤波器的最佳BFI_（max）参数和滤波器参数。使用自动衰退曲线分析方法和WHAT系统的BFI_（max）GA-Analyzer模块，确定LEC分水岭的最佳BFI_（max）值为0.491，过滤器参数值为0.987。使用优化的BFI_（max）和滤波器参数将L-THIA估计值与滤波后的直接径流进行比较，得出R〜2值为0.66，纳什-舒特克里夫系数值为0.63。但是，使用优化的BFI_（max）校准的L-THIA估计值和过滤器参数增加了33％，NPS污染物的估计装载量增加了20％以上。这表明，如果在模型比较之前未对研究流域验证基础流分离方法的准确性，则L-THIA模型的直接径流估算可能不正确33％，而NPS污染物负荷估算可能超过20％。这项研究表明，在使用L-THIA模型进行水文和水质建模时，基流分离的重要性。

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  • 来源
    《Computers & geosciences》 |2010年第7期|P.936-944|共9页
  • 作者

    Kyoung Jae Lim; rnYoun Shik Park; rnJonggun Kim; rnYong-Chul Shin; rnNam Won Kim; Seong Joon Kim; rnJi-Hong Jeon; rnBernard A. Engel;

  • 作者单位

    Regional Infrastructures Engineering, Kangwon National University, Chuncheon, Kangwon, Republic of Korea;

    rnRegional Infrastructures Engineering, Kangwon National University, Chuncheon, Kangwon, Republic of Korea;

    rnRegional Infrastructures Engineering, Kangwon National University, Chuncheon, Kangwon, Republic of Korea;

    rnRegional Infrastructures Engineering, Kangwon National University, Chuncheon, Kangwon, Republic of Korea;

    rnWater Resources Research Department, Korea Institute of Construction Technology, Kyounggi, Republic of Korea;

    rnDepartment of Civil & Environmental System Engineering, KonKuk University, Seoul, Republic of Korea;

    rnDepartment of Environmental Engineering, Andong National University, Andong, KyougsangBukdo, Republic of Korea;

    rnDepartment of Agricultural and Biological Engineering, Purdue University, 225 South University Street, West Lafayette, IN 47907-2093, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    baseflow separation; recession curve analysis; water quality; L-THIA; WHAT;

    机译：基流分离;衰退曲线分析;水质;L-THIA;什么;

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