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Mapping Drought Risk in Indonesia Related to El-Nino Hazard

机译:在印度尼西亚的映射风险与El-Nino危害有关的印度尼西亚风险

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This work is aimed to identify areas in the country that are at high propensity to the impact of global climate phenomenon i.e. El-Nino. An affected area is recognized when rainfall decreases up to below normal condition which frequently leads drought event. For this purpose, two packages of gridded rainfall data at monthly basis with 0.5 spatial resolutions for 1950 201 0 period were used, e.g. GPCC Full Data Reanalysis V.6 (product of Global Precipitation Climatology Centre) and CRU TS3.22 (product of Climatic Research Unit). El-Nino years were labelled based on Oceanic Nino Index, ONI. We applied frequency analysis to quantify the chance of El-Nino impact. GPCC data was found more accurate in representing rainfall observation than CRU data based on correlation test against station data. The results indicate the strong spatial and temporal dependencies of El-Nino impact. During peak of rainy and first transitional season (DJF and MAM), the probability to be affected by El-Nino is mostly less than 20% over whole country In contrast, July-October are months where areas with high and very high risk were observed over many regions such as Southern part of Sumatera, Java, Kalimantan, Sulawesi, Maluku and Papua. Further investigation at province level found that the timing of El-Nino impact starts in June. These results are potential to improve national capacity in risk management related to weather-climate hazards.
机译:这项工作旨在识别国家的地区,这些地区以全球气候现象的影响高,即El-Nino。当降雨减少到低于正常情况时,在频繁导致干旱事件的正常情况下减少时,确认受影响的区域。为此目的,每月有两种网格降雨数据,每月有0.5个空间分辨率,用于1950年2010年0期间,例如,为0.g。 GPCC完全数据再分析V.6(全球降水中心的产品)和CRU TS3.22(气候研究单位产品)。基于海洋NINO指数,伊尼诺·索尼省标明EL-NINO岁。我们应用了频率分析以量化El-Nino影响的机会。发现GPCC数据更准确地代表比基于电站数据的相关性测试的CRU数据。结果表明EL-NINO撞击的强劲空间和时间依赖性。在多雨和第一个过渡季节(DJF和MAM)的高峰期间,El-Nino影响的概率在全国范围内大于20%,尤其是迄今为止,观察到高风险和非常高的风险的地区在许多地区,如苏马拉,爪哇,卡利莫坦丹,苏拉威西,马鲁库和巴布亚的南部。省级进一步调查发现,El-Nino影响的时间在6月开始。这些结果是提高与天气气候危害有关的风险管理中国家能力的潜力。

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