Monitoring extreme floods and droughts in the Amazon basin with surface water based indices

IF 3.1 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of Hydrometeorology Pub Date : 2023-06-26 DOI:10.1175/jhm-d-22-0170.1
M. Parrens, Ahmad Al Bitar, Ayan Santos Fleischmann
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Abstract

Extreme droughts and floods in the Amazon have great implications for ecosystems and societies. Over the last decade, the region has undergone major extreme events with no equivalent in the previous 100 years. Wetlands have been greatly impacted by these events. This study aims at presenting new indicators for wetlands based on Water Surface Extent (WSE): duration of the flooded and non-flooded season, number of days of extreme events, delay of the start of the flooded season, and severity for each season. These indicators are more adapted for monitoring of wetlands than those based on precipitation, discharge or groundwater information. They are computed for seven major Amazon sub-basins for flooded and non-flooded seasons. These indicators improve our knowledge of the temporal behavior of water surface during different extreme events, such as the 2015/2016 drought and the 2014 flood occurred in the Madeira basin. For the Negro basin and from the point of view of wetlands, the 2015 non-flooded season was 55% more severe than the average of the non-flooded season during the 2011-2018 period. For the Paru, Trombetas, Negro and Solimões basins, we found that a delay in the arrival of the flooded season led to a weak flood season in terms of severity. No correlation between the onset of the flooded season and its severity was found for the Madeira, Xingu and Tapajós basins. Future hydrometeorological monitoring systems would benefit from including, in addition to variables such as river discharge and water elevation, precipitation and vegetation dynamics, a severity index based on water surfaces as proposed in this study.
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利用地表水指数监测亚马逊流域的极端洪涝和干旱
亚马逊地区的极端干旱和洪水对生态系统和社会产生了重大影响。在过去十年中,该地区经历了过去100年从未有过的重大极端事件。这些事件极大地影响了湿地。本研究旨在提出基于水面范围(WSE)的湿地新指标:洪水季节和非洪水季节的持续时间、极端事件的天数、洪水季节开始的延迟以及每个季节的严重程度。这些指标比基于降水、流量或地下水信息的指标更适合于监测湿地。他们计算了七个主要的亚马逊子流域的洪水和非洪水季节。这些指标提高了我们对不同极端事件期间水面时间行为的认识,例如2015/2016年的干旱和2014年马德拉盆地发生的洪水。就内格罗盆地而言,从湿地的角度来看,2015年非洪水季节的严重程度比2011-2018年非洪水季节的平均水平高出55%。对于Paru, Trombetas, Negro和Solimões流域,我们发现洪水季节到来的延迟导致洪水季节的严重程度较弱。马德拉、新古和Tapajós盆地的洪水季节的开始与其严重程度之间没有相关性。未来的水文气象监测系统将受益于在诸如河流流量和水位、降水和植被动态等变量之外,纳入本研究中提出的基于水面的严重程度指数。
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来源期刊
Journal of Hydrometeorology
Journal of Hydrometeorology 地学-气象与大气科学
CiteScore
7.40
自引率
5.30%
发文量
116
审稿时长
4-8 weeks
期刊介绍: The Journal of Hydrometeorology (JHM) (ISSN: 1525-755X; eISSN: 1525-7541) publishes research on modeling, observing, and forecasting processes related to fluxes and storage of water and energy, including interactions with the boundary layer and lower atmosphere, and processes related to precipitation, radiation, and other meteorological inputs.
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