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首页> 外文期刊>Stochastic environmental research and risk assessment >Flood frequency under changing climate in the upper Kafue River basin, southern Africa: a large scale hydrological model application
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Flood frequency under changing climate in the upper Kafue River basin, southern Africa: a large scale hydrological model application

机译:非洲南部卡富厄河流域上游气候变化下的洪水频率:大规模水文模型应用

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摘要

The projected impacts of climate change and variability on floods in the southern Africa has not been well studied despite the threat they pose to human life and property. In this study, the potential impacts of climate change on floods in the upper Kafue River basin, a major tributary of the Zambezi River in southern Africa, were investigated. Catchment hydrography was delineated using the Hydro Ik at a spatial resolution of 1 km. The daily global hydrological model WASM0D-D model was calibrated and validated during 1971-1986 and 1987-2001 with the simple-split sample test and during 1971-1980 and 1981-1990 with the differential split sample test, against observed discharge at Machiya gauging station. Predicted discharge for 2021-2050 and 2071-2100 were obtained by forcing the calibrated WASMOD-D with outputs from three GCMs (ECHAM, CMCC3 and IPSL) under the IPCC's SRES A2 and Bl scenarios. The three GCMs derived daily discharges were combined by assigning a weight to each of them according to their skills to reproduce the daily discharge. The two calibration and validation tests suggested that model performance based on evaluation criteria including the Nash-Sutcliffe coefficient, Pearson's correlation coefficient (r), Percent Bias and R~2 was satisfactory. Flood frequency analysis for the reference period (1960-1990) and two future time slices and climate change scenarios was performed using the peak over threshold analysis. The magnitude of flood peaks was shown to follow generalised Pareto distribution. The simulated floods in the scenario periods showed considerable departures from the reference period. In general, flood events increased during both scenario periods with 2021-2050 showing larger change. The approach in our study has a strong potential for similar assessments in other data scarce regions.
机译:尽管气候变化和多变性对南部非洲洪水的预期影响尚未得到充分研究,但它们对人类生命和财产构成威胁。在这项研究中,研究了气候变化对南部非洲赞比西河主要支流卡夫河上游流域洪水的潜在影响。使用Hydro Ik在1 km的空间分辨率上描绘了集水区水文。 1971年至1986年和1987年至2001年期间使用简单拆分样本测试以及1971年至1980年和1981年至1990年期间使用差分拆分样本测试对每日全球水文模型WASM0D-D模型进行了校准和验证,以防止在Machiya计量站观测到的流量站。在IPCC的SRES A2和B1情景下,通过使用三个GCM(ECHAM,CMCC3和IPSL)的输出强制校准的WASMOD-D,可以获得2021-2050和2071-2100的预计排放量。将三个GCM派生的每日排放量结合起来,方法是根据它们各自的技能分配权重,以重现每日排放量。两次校准和验证测试表明,基于评估标准(包括Nash-Sutcliffe系数,Pearson相关系数(r),百分比偏倚和R〜2)的模型性能令人满意。使用峰值超阈值分析对参考期(1960-1990年)以及两个未来时间段和气候变化情景进行洪水频率分析。洪峰的大小显示遵循广义帕累托分布。情景期间的模拟洪水显示与参考期间有很大的偏差。总的来说,在两个场景期间,洪水事件都增加了,而2021-2050的变化更大。在我们的研究中,该方法在其他数据稀缺地区具有类似评估的强大潜力。

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    Department of Geosciences, University of Oslo, P.O. Box 1047, Blindern. Oslo, Norway,Department of Geography and Earth Sciences, University of Malawi, Chancellor College, P.O. Box 280, Zomba, Malawi;

    Department of Geosciences, University of Oslo, P.O. Box 1047, Blindern. Oslo, Norway;

    Department of Geosciences, University of Oslo, P.O. Box 1047, Blindern. Oslo, Norway,Department Physical Geography and Quaternary Geology, Bert Bolin Centre for Climate Research, Stockholm University,Stockholm, Sweden;

    Department of Geosciences, University of Oslo, P.O. Box 1047, Blindern. Oslo, Norway;

    Department of Geology, University of Botswana, Pr. Bag UB00704, Gaborone, Botswana;

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  • 正文语种 eng
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  • 关键词

    Climate change; Floods WASMOD-D Peak over threshold; Kafue River; Southern Africa;

    机译:气候变化;洪水WASMOD-D峰值超过阈值;甲府河;非洲南部;

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