基于标准化降水蒸散指数(SPEI)的秘鲁曼塔罗河谷干旱时空评价

IF 0.6 Q3 MULTIDISCIPLINARY SCIENCES Revista Investigaciones Altoandinas-Journal of High Andean Research Pub Date : 2023-08-08 DOI:10.18271/ria.2023.525
Del Piero Raphael Arana Ruedas, Laura Soto Guerra, K. Popli, Saadatu Gambo Madaki
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引用次数: 0

摘要

秘鲁有几项基于秘鲁热带安第斯山脉(PTA)及其气候变化影响的研究。研究表明,由于地形特征的不同,形成了不同的气候条件。从这个意义上说,PTA有一个非常复杂的气候系统,它引起了主要与温度升高和降水模式减少有关的显著变率。Mantaro Valley位于PTA, Junin地区。在脆弱的农民已经受到贫困影响的地方,实行以雨养种植系统为基础的农业。因此,气候变率导致农业脆弱性和水资源短缺。本研究旨在详细阐述曼塔罗河谷的干旱时空评估,为当地气候变化事件提供信息。为此,使用了世界气象组织(WMO)认可的标准化降水蒸散指数(SPEI)。结果表明,几乎每个站点都有多年来变暖的明确证据,六个站点中只有两个站点的降水减少。此外,时空分析显示,考虑到频率、严重程度和持续时间,总数据中约有30%的干旱事件。综上所述,Mantaro Valley内所有分析站在干旱特征上具有相同的特征,但每个时间尺度的最高频率不同。建议保留可用数据最少的跟踪站,与不同干旱评价方法进行对比分析,研究干旱与ENSO事件以及洪水等其他气候事件的相关性。
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Spatio-Temporal Drought Assessment Using Standardized Precipitation Evapotranspiration Index (SPEI) over Mantaro Valley, Peru
Peru has several studies based on the Peruvian Tropical Andes (PTA) and its effects due to climate change. It has been shown that due to orography characteristics, different kinds of climate conditions are seen. In that sense, the PTA has a very complex climate system, which causes significant variability mostly related to an increase in temperature and a decrease in precipitation patterns. The Mantaro Valley is located in the PTA, Junin region. Where vulnerable farmers are already affected by poverty, practice agriculture based on rain-fed cropping systems. Hence, climate variability causes agricultural vulnerability and water resource scarcity. This study aims to elaborate the Spatio-temporal drought assessment over Mantaro Valley to provide information on local climate change events. In order to do so, the Standardized Precipitation Evapotranspiration Index (SPEI), recognized by the World Meteorological Organization (WMO), was used. The results have shown that almost every station has clear evidence of warming over the years and only a precipitation decrease in two out of six stations. Furthermore, the Spatio-temporal analysis shows around 30% of drought events from the total data, considering the frequency, severity, and duration. In conclusion, it has been demonstrated that all analyzed stations within Mantaro Valley have the same deportment regarding drought characteristics with different highest frequency per time scale. Finally, it is recommended to keep tracking stations with the lowest available data, realize comparison analysis with different drought assessment methods, and study the correlation between drought and ENSO events and other climate events such as floods.
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24 weeks
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