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Rainfall-Runoff Simulation Using Climate Change Based Precipitation Prediction in HEC-HMS Model for Irwin Creek, Charlotte, North Carolina

机译:在北卡罗来纳州夏洛特市的欧文溪,HEC-HMS模型中使用基于气候变化的降水预测进行降雨径流模拟

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Flooding in major urban areas are due to the intense rainfall and insufficient capacity of storm sewers system to suitably route the peak flow within the watershed. With increase in imperviousness due to urbanization and increase in precipitation due to changing climatic condition, storm water management has become crucial and equally challenging. Suitable approach for prediction of peak flow based upon the available historical precipitation data, land use condition, soil type, and suitable routing method is necessary. This study focused on the use of Hydrologic Engineering Center's Hydrologic Modeling System (HEC-HMS) for the prediction of peak flow condition in Irwin Creek watershed (15.46 sq.km) located in Charlotte, North Carolina. The urbanized area is prone to flooding on intensified storm events as evidenced recently during the Hurricane Matthew. Using precipitation data from United States Geological Survey (USGS) rain gauge stations, hydrological model was developed in HEC-HMS. Using geospatial hydrologic modeling extension (HEC-Geo HMS) in Arc GIS, watershed for Irwin Creek with 13 sub-watersheds was created. Curve number grid for each sub watershed was prepared in Arc GIS from the land cover and soil group data. Basin model file prepared from HEC-Geo HMS containing all the required hydrological parameters was imported into HEC-HMS. USGS streamflow station data was used for the calibration and validation of the model. 6 hr. 100 yr. storm event produced by National Oceanic and Atmospheric Administration (NOAA) was routed through calibrated model to generate the peak flow of the watershed. Additionally, the impact of climate change on precipitation resulting the peak flow was assessed using climate data developed by North American Regional Climate Change Assessment Program (NARCCAP). Delta change factor of 1.18 was calculated for this study from Hadley Regional Model 3-Hadley Center Coupled Global Climate Model, a regional climate model- global climate model paired model used by NARCCAP. Through the critical analysis of the peak runoff generated by the calibrated model for NOAA rainfall data and NARCAAP rainfall data, 43% increase in peak flow was determined for 18% increase in storm depth. The study highlighted the significance of consideration of climate change factor that is likely to result in increased peak discharge in the existing urban watersheds. Hence, the results from this study suggested the necessity of suitable runoff-reduction approaches like low impact development for the further development of the study area.
机译:主要城市地区的洪水是由于强降雨和雨水管道系统的能力不足,无法在流域内适当地分配峰值流量。随着城市化带来的不透水性的增加以及气候条件的变化导致降水量的增加,雨水管理已变得至关重要且同样具有挑战性。必须根据可用的历史降水量数据,土地使用条件,土壤类型和合适的布线方法,采用合适的方法来预测洪峰流量。这项研究的重点是使用水文工程中心的水文建模系统(HEC-HMS)来预测北卡罗来纳州夏洛特的Irwin Creek流域(15.46平方公里)的峰值流量状况。最近在马修飓风期间证明,城市化地区容易遭受暴风雨袭击。利用来自美国地质调查局(USGS)雨量计站的降水数据,在HEC-HMS中开发了水文模型。使用Arc GIS中的地理空间水文建模扩展(HEC-Geo HMS),创建了带有13个子集水区的Irwin Creek分水岭。在Arc GIS中,根据土地覆盖和土壤组数据准备了每个子流域的曲线编号网格。从HEC-Geo HMS准备的盆地模型文件包含所有必需的水文参数,被导入到HEC-HMS中。 USGS流站数据用于模型的校准和验证。 6小时100年由美国国家海洋和大气管理局(NOAA)产生的暴风雨事件通过校准模型进行路由,以生成流域的峰值流量。此外,使用北美区域气候变化评估计划(NARCCAP)开发的气候数据,评估了气候变化对导致峰值流量的降水的影响。根据本研究,根据NARCCAP使用的Hadley区域模型3-Hadley中心耦合全球气候模型(区域气候模型-全球气候模型配对模型)计算得出的Delta变化因子为1.18。通过对由NOAA降雨数据和NARCAAP降雨数据的校准模型生成的峰值径流的临界分析,确定了峰值流量增加了43%,风暴深度增加了18%。该研究强调了考虑气候变化因素的重要性,该因素很可能导致现有城市流域的峰值流量增加。因此,这项研究的结果表明,为了进一步发展研究区,必须采用适当的减少径流的方法,如低影响力开发。

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