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Future hydrological drought hazard assessment under climate and land use projections in Upper Nan River Basin, Thailand

机译:泰国上南河流域气候和土地利用预测下的未来水文干旱危险评估

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Drought has extensively affected Thailand because agriculture is an important source of the country’s income. Upper Nan River Basin (U-NRB) is an important basin for agriculture in Thailand. This research studies future drought hazard in U-NRB under climate and land use change projection by considering into three future period: 2020s (2011-2040), 2050s (2041-2070) and 2080s (2071-2100). This study analyzed the drought hazard under three parameters that are the standardized precipitation-evapotranspiration index (SPEI), Streamflow Drought Index (SDI), and ground water yield. The three Regional Climate Models (RCMs) are used to compute and figure out the SPEI under two Representative Concentration Pathway (RCP4.5 and 8.5). The SDI is calculated from future streamflow data which obtain from hydrological model. The weighting factors of each drought parameter are efined with Analytic Hierarchy Process (AHP). SPEI has more significant effect than SDI and ground water yield. Moreover, the drought period depends on standing shortage of rainfall at 1, 3, and 6 months. The future drought hazard maps are displayed as drought hazard levels which are very low, low, medium, and high. The results found that SPEI1 and SPEI3 under RCP4.5 and 8.5 change from very low to low, low to medium and medium to high but they do not change much in 2050s for RPC4.5. For SPEI6, the results show that drought hazard level has trended to decrease severity under RCP4.5 both in 2050s and 2080s but the drought hazard level under RCP8.5 has trended to increase severity as medium and high in 2050s and 2080s. Therefore, Most of the areas in U-NRB are low and medium hazard level in 2050s. Whereas, medium and high hazard levels are found in the U-NRB in 2080s.
机译:干旱广泛影响泰国,因为农业是该国收入的重要来源。上楠河流域(U-NRB)是泰国农业的重要盆地。本研究通过考虑到未来三期:2020年代(2011-2040),2050年代(2041-2070)和2080年代(2071-2100),在气候和土地利用变更投影中研究了U-NRB下的未来干旱危险。该研究在三个参数下分析了干旱危害,该参数是标准化沉淀蒸发散热指数(SPEI),流水流水指数(SDI)和地下水产量。三种区域气候模型(RCMS)用于计算和弄清楚两个代表性浓度途径(RCP4.5和8.5)下的SPEI。 SDI由从水文模型获得的未来流流数据计算。每个干旱参数的加权因子通过分析层次结构(AHP)耗尽。 Spei的效果比SDI更大,地下水收益率更大。此外,干旱期取决于1,3和6个月的降雨短缺。未来的干旱危险地图显示为干旱危险水平,非常低,低,中等和高。结果发现,RCP4.5和8.5下的SPEI1和SPEI3从非常低至低至中等和中等到高,但它们不会在2050年代变化为RPC4.5。对于SPEI6,结果表明,干旱危险水平已经在2050年代和2080年代的RCP4.5下趋势减少严重程度,但RCP8.5下的干旱危险水平趋于在2050年代和20世纪80年代增加培养基和高度。因此,U-NRB中的大部分区域都在2050年代的低危险水平。然而,在2080年代的U-NRB中发现了中等和高危险水平。

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