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GRACE satellite-based drought index indicating increased impact of drought over major basins in China during 2002-2017

机译:基于Grace卫星的干旱指数,表明2002-2017期间,中国旱区干旱对大盆地的影响增加

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The frequency of recurrence of drought has major societal, economical, and environmental impacts. However, our ability to capture drought conditions accurately are limited due to the uncertainties in current drought indices. In the present study, we proposed a Gravity Recovery and Climate Experiment (GRACE) total water storage (TWS) based drought severity index (DSI) using the detrended GRACE-TWS time series, to eliminate the effect of non-climatic factors on drought estimation and reflect true drought conditions. Based on the improved GRACE-DSI, we characterized the drought conditions over major basins in China during 2002-2017. Our results indicate that the improved GRACE-DSI can reasonably capture the drought process compared to existing non-detrended GRACE-based drought indices. The observed behavior of GRACE-DSI time series agrees reasonably well with the Palmer drought severity index, standardized precipitation index, and standardized runoff index, although differences exist due to intrinsic differences in the indicators of drought. Spatially, the Yellow River Basin, Huai River Basin, Hai River Basin, Southwest River Basin, and Continental River Basin share a similar pattern with droughts prevailing after 2013, and with both increases in duration and severity of the drought episodes. Moreover, pixel-based drought assessment also suggests an increasing trend in drought frequency in most basins in China during the GRACE era, with a prominent drought event in the Southwest River Basin beginning in April 2015 and ending in May 2016, with a severity of -25.38 and affecting 39.47 % of the total basin area. Our analyses demonstrate that the proposed GRACE-DSI can serve as a useful tool for integrated drought monitoring and provide a better understanding of drought conditions in major basins in China during 2002-2017.
机译:干旱复发的频率具有重大的社会,经济和环境影响。然而,由于当前干旱指标的不确定性,我们准确地捕获干旱条件的能力。在本研究中,我们提出了使用贬值的Grace-TWS时间序列的引力恢复和气候实验(Grace)总储水(TWS)干旱严重性指数(DSI),以消除非气候因素对干旱估算的影响并反映真正的干旱条件。基于改进的Grace-DSI,在2002 - 2017年期间,我们在中国的主要盆地中的干旱条件的特征。我们的结果表明,与现有的非削弱恩典的干旱指数相比,改进的Grace-DSI可以合理地捕获干旱过程。 Grace-DSI时间序列的观察到行为与Palmer干旱严重指数,标准化降水指数和标准化径流指数相当好,尽管由于干旱指标的内在差异而存在差异。空间,黄河流域,淮河流域,海河流域,西南河流域和欧陆河流域在2013年后普遍存在的干旱盛行的类似模式,随着干旱发作的持续时间和严重程度而增加。此外,基于像素的干旱评估还提出了中国大多数盆地在Grace时代的大多数盆地中的趋势越来越大,在2​​015年4月开始并于2016年5月开始,在2016年5月开始,突出的干旱发生了突出的干旱活动,严重程度 - 25.38,影响总盆地的39.47%。我们的分析表明,拟议的Grace-DSI可以作为综合干旱监测的有用工具,并在2002 - 2017年期间对中国主要盆地的干旱状况更好地了解。

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