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首页> 外文期刊>Catena: An Interdisciplinary Journal of Soil Science Hydrology-Geomorphology Focusing on Geoecology and Landscape Evolution >Elaborate simulations and forecasting of the effects of urbanization on karst flood events using the improved Karst-Liuxihe model
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Elaborate simulations and forecasting of the effects of urbanization on karst flood events using the improved Karst-Liuxihe model

机译:利用改进的岩溶 - 刘溪模型精心设计对城市化对城市化影响的模拟及预测

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摘要

Urbanization, especially land use pattern changes, has a great impact on natural flood events in a karst basin. Quantitative simulations of the effects of urbanization on karst flood events and forecasts of future evolution trends are difficult based on the current hydrological models. These models often require a large amount of data when used in karst areas due to the complex model structure and model parameters. To overcome the limitations of model applications, a physically based and fully distributed karst hydrological model, i.e., the improved Karst-Liuxihe (IKL) model, was proposed in this study to simulate and forecast karst flood events under the influence of urbanization. This IKL model was developed through the overall improvement of the Karst-Liuxihe (KL) model. The main additions were the improved runoff generation algorithm and the underground river confluence module. The karst flood simulation results of the IKL model were much better than those of the KL model: the average values of the Nash-Sutcliffe coefficient, correlation coefficient, and coefficient of the water balance increased by 23%, 23% and 26%, respectively, while the process relative error, flood peak flow relative error, and flood peak flow time error decreased by 21%, 22%, and 3 h, respectively, which confirmed that the improvements to the model were effective and feasible. Therefore, this paper used the IKL model to simulate karst flood events and annual runoff under the influence of urbanization based on 4 extreme land use scenarios. In addition, the model effectively forecasted the future runoff in 2030, 2040, and 2050. The results indicated that the critical proportion of urbanized area throughout the watershed area was 45%. When the urban proportion exceeded 45%, waterlogging could occur in the study area.
机译:城市化,尤其是土地利用格局的变化,对喀斯特盆地的自然洪水事件有很大的影响。基于当前的水文模型,很难定量模拟城市化对岩溶洪水事件的影响,并预测未来的演变趋势。由于模型结构和模型参数复杂,这些模型在岩溶地区使用时往往需要大量数据。为了克服模型应用的局限性,本研究提出了一种基于物理的、完全分布式的喀斯特水文模型,即改进的喀斯特流溪河(IKL)模型,用于模拟和预测城市化影响下的喀斯特洪水事件。该IKL模型是通过对喀斯特流溪河(KL)模型的全面改进而开发的。主要增加了改进的径流生成算法和地下河汇流模块。IKL模型的岩溶洪水模拟结果远好于KL模型:Nash-Sutcliffe系数、相关系数和水量平衡系数的平均值分别增加了23%、23%和26%,而过程相对误差、洪峰流量相对误差和洪峰流量时间误差分别减少了21%、22%和3h,验证了模型改进的有效性和可行性。因此,本文基于4种极端土地利用情景,利用IKL模型模拟了城市化影响下的岩溶洪水事件和年径流。此外,该模型有效地预测了2030年、2040年和2050年的未来径流。结果表明,整个流域城市化面积的临界比例为45%。当城市比例超过45%时,研究区域可能会发生内涝。

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