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A Novel Approach for the Integral Management of Water Extremes in Plain Areas

机译:平原地区极端水综合管理的新方法

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Due to the socioeconomical impact of water extremes in plain areas, there is a considerable demand for suitable strategies aiding in the management of water resources and rainfed crops. Numerical models allow for the modelling of water extremes and their consequences in order to decide on management strategies. Moreover, the integration of hydrologic models with hydraulic models under continuous or event-based approaches would synergistically contribute to better forecasting of water extreme consequences under different scenarios. This study conducted at the Santa Catalina stream basin (Buenos Aires province, Argentina) focuses on the integration of numerical models to analyze the hydrological response of plain areas to water extremes under different scenarios involving the implementation of an eco-efficient infrastructure (i.e., the integration of a green infrastructure and hydraulic structures). The two models used for the integration were: the Soil and Water Assessment Tool (SWAT) and the CELDAS8 (CTSS8) hydrologic-hydraulic model. The former accounts for the processes related to the water balance (e.g., evapotranspiration, soil moisture, percolation, groundwater discharge and surface runoff), allowing for the analysis of water extremes for either dry or wet conditions. Complementarily, CTSS8 models the response of a basin to a rainfall event (e.g., runoff volume, peak flow and time to peak flow, flooded surface area). A 10-year data record (2003–2012) was analyzed to test different green infrastructure scenarios. SWAT was able to reproduce the waterflow in the basin with Nash Sutcliffe (NS) efficiency coefficients of 0.66 and 0.74 for the calibration and validation periods, respectively. The application of CTSS8 for a flood event with a return period of 10 years showed that the combination of a green infrastructure and hydraulic structures decreased the surface runoff by 28%, increased the soil moisture by 10% on an average daily scale, and reduced the impact of floods by 21% during rainfall events. The integration of continuous and event-based models for studying the impact of water extremes under different hypothetical scenarios represents a novel approach for evaluating potential basin management strategies aimed at improving the agricultural production in plain areas.
机译:由于平原地区极端水灾对社会经济的影响,因此迫切需要用于管理水资源和雨养作物的适当战略。数值模型允许对极端水及其后果进行建模,以便决定管理策略。此外,在连续或基于事件的方法下将水文模型与水力模型相集成,将有助于更好地预测不同情况下的水极端后果。在圣卡塔琳娜河流域(阿根廷布宜诺斯艾利斯省)进行的这项研究着重于整合数值模型,以分析涉及实施生态高效基础设施(即绿色基础设施和水工结构的整合)。用于集成的两个模型是:土壤和水评估工具(SWAT)和CELDAS8(CTSS8)水文液压模型。前者说明了与水平衡有关的过程(例如蒸散,土壤水分,渗滤,地下水排放和地表径流),从而可以分析干旱或潮湿条件下的极端水量。作为补充,CTSS8对流域对降雨事件的响应进行建模(例如,径流量,峰流量和峰流量时间,水淹面积)。分析了10年的数据记录(2003-2012),以测试不同的绿色基础设施方案。 SWAT能够在标定和验证期间分别以0.66和0.74的纳什·苏特克利夫(NS)效率系数重现盆地中的水流。 CTSS8在洪水期为10年的洪水事件中的应用表明,绿色基础设施和水力结构的组合平均每天减少了28%的地表径流,使土壤湿度增加了10%,并减少了降雨事件中洪水的影响增加了21%。连续和基于事件的模型的集成,用于研究不同假设情景下极端水的影响,为评估旨在改善平原地区农业生产的潜在流域管理战略提供了一种新颖的方法。

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