首页> 外文OA文献 >Impact of soil moisture over Palmer Drought Severity Index and its future projections in Brazil Avaliação da umidade do solo e do Índice de Severidade de Seca de Palmer no Brasil e suas projeções futuras
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Impact of soil moisture over Palmer Drought Severity Index and its future projections in Brazil Avaliação da umidade do solo e do Índice de Severidade de Seca de Palmer no Brasil e suas projeções futuras

机译:土壤湿度对palmer干旱严重程度指数的影响及其在巴西的未来预测avaliaçãodaumidade do solo edoÍndicedeseveridade de seca de palmer no Brasil esuasprojeçõesfuturas

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摘要

Soil moisture is a main factor for the study of drought impacts on vegetation. Drought is a regional phenomenon and affects the food security more than any other natural disaster. Currently, the monitoring of different types of drought is based on indexes that standardize in temporal and regional level allowing, thus, comparison of water conditions in different areas. Therefore, in order to assess the impact of soil moisture during periods of drought, drought Palmer Severity Index was estimated for the entire region of the territory. For this were used meteorological data (rainfall and evapotranspiration) and soil (field capacity, permanent wilting point and water storage in the soil). The data field capacity and wilting point were obtained from the physical properties of soil; while the water storage in soil was calculated considering the water balance model. The results of the PSDI were evaluated during the years 2000 to 2015, which correspond to periods with and without occurrence of drought. In order to assess the future drought projections, considering the set of the Coupled Model Intercomparison rainfall data Project Phase 5 (CMIP5). Climate projections precipitation in CMIP5 for the period 2071-2100 was extracted generating entitled forcing scenarios Representative Concentration Pathways - RCPs, and referred to as RCOP 8.5, corresponding to an approximate radiative forcing the end the twenty-first century of 8.5 Wm-2. The results showed that the PDSI is directly associated with climatological patterns of precipitation and soil moisture in any spatial and temporal scale (including future projections). Therefore, it is concluded that the PDSI is an important index to assess soil moisture different water conditions, as well as the association with economic and social information to create risk maps for subsidies to decision makers.
机译:土壤水分是研究干旱对植被影响的主要因素。干旱是一种区域现象,对粮食安全的影响比其他任何自然灾害都大。当前,对不同类型干旱的监测基于在时间和区域水平上标准化的指标,从而可以比较不同地区的水状况。因此,为了评估干旱期间土壤水分的影响,估计了整个领土的干旱帕尔默严重指数。为此,使用了气象数据(降雨和蒸散量)和土壤(田间持水量,永久性枯萎点和土壤中的蓄水量)。数据场的容量和萎点是从土壤的物理性质获得的;同时考虑水平衡模型来计算土壤中的储水量。在2000年至2015年期间对PSDI的结果进行了评估,这对应于有干旱和无干旱的时期。为了评估未来的干旱预测,请考虑比较模型间比较耦合降雨数据项目第5阶段(CMIP5)的设置。提取了2071-2100年CMIP5中的气候预测降水,生成了具有强迫作用的情景,即代表性集中路径-RCP,并称为RCOP 8.5,对应于二十世纪末8.5 Wm-2的近似辐射强迫。结果表明,PDSI与任何时空尺度上的降水和土壤水分的气候模式直接相关(包括未来的预测)。因此,可以得出这样的结论:PDSI是评估土壤水分在不同水分条件下的重要指标,并且与经济和社会信息相关联,可以为决策者提供补贴,从而创建风险图。

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