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ANALYSIS OF CLIMATE CHANGE IMPACTS ON RUNOFF AND SEDIMENT YIELD IN CENTRAL TAIWAN

机译:台湾中部地区气候变化对径流和沉积物产量的影响分析

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Numerous typhoons and torrential rains have confronted Taiwan over the years due to climate change. Severe floods and sediment related disasters have been a norm. What levels of change we can expect for runoff and sediments from climate change remains critical and is a significant challenge for the disaster prone island. Not only will the challenge be on disaster mitigation measures, but also the entire water resources management sector. Several models have been developed and applied; however, most have limited accuracy due to their inability to factor in spatial changes for both hydrologic and physiographic factors. In the present study, a physiographic soil erosion deposition (PSED) model is employed to simulate runoff and sediment yields during storm events. The PSED model is integrated with Geographic Information System (GIS) making it capable of handling enormous data. It also entails rainfall-runoff model and a basin scale erosion-deposition model. PSED model is validated using discharge and sediment data from Chou-shui river basin during two typhoon events. Simulated flow hydrographs and sediment transport rates are in good agreement with observed data. A one-day and a two-day storm for baseline (1980-1999) and climate change scenario A1B (2020-2039) for 2, 5, 10, 25, 50, 100 and 200-year return are applied to predict future sediment yields. Results indicate that for one-day storm events, sediment yield decreases for return periods 2, 5 and 10. Sediment yield shows an increasing trend for all return periods during two-day storm events.
机译:由于气候变化,多年来,众多的台风和暴雨已经面对台湾。严重的洪水和沉积物相关的灾害是一种常态。我们可以预期的径流和气候变化沉积物的改变程度仍然至关重要,对易受灾难岛的重要挑战。不仅挑战措施不仅会灾害减缓措施,也是整个水资源管理部门。已经开发了多种型号;然而,由于其无法对水文和地理因素的空间变化来说,最准确性有限。在本研究中,采用了地理学土壤侵蚀沉积(PSED)模型来模拟风暴事件期间的径流和沉积物产量。 PSED模型与地理信息系统(GIS)集成,使其能够处理巨大的数据。它还需要降雨 - 径流模型和盆地腐蚀沉积模型。在两个台风事件中使用围水河流域的放电和沉积物数据进行验证PSED模型。模拟流动文照片和沉积物运输率与观察到的数据吻合良好。适用于2,5,10,25,50,100和200年回报的基线为期一天和为期两天的基线(1980-1999)和气候变化情景A1B(2020-2039),以预测未来沉积物产量。结果表明,对于一日风暴事件,返回期2,5和10的沉积物产量降低。沉积物产量显示两天风暴事件中所有返回期的趋势。

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