Water storage variability across Brazil

Pub Date : 2022-01-01 DOI:10.1590/2318-0331.272220220077
Rafael Barbedo, A. Fleischmann, V. Siqueira, J. P. Brêda, Gabriel Matte, L. Laipelt, A. Amorim, Alexandre Abdalla Araújo, M. Fuckner, A. Meller, F. Fan, W. Collischonn, A. Ruhoff, R. Paiva
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引用次数: 1

Abstract

ABSTRACT Brazil hosts a large amount of freshwater. Knowing how this stored water is partitioned in space and time between surface and subsurface components is a crucial step towards a more correct depiction of the country’s water cycle, which has major implications for decision making related to water resources management. Here, we extracted monthly water storage (WS) variability, from 2003 to 2020, based on multiple state-of-the-art datasets representing different WS components – groundwater (GW), soil moisture (SM), surface waters (SW), and artificial reservoirs (RS) – in all Brazilian Hydrographic Regions (BHRs), and computed each component’s contribution to the total variability. Most of the variability can be attributed to SM (40-68%), followed by GW (18-40%). SW has great influence in the north-western BHRs (humid monsoon influenced) with 18-40% and the southern BHRs (subtropical system influenced) with 5-10%. RS has important contributions in the Paraná with 12.1%, São Francisco with 3.5%, and Tocantins-Araguaia with 2.1%. In terms of long-term variability, water storages have been generally decreasing in the eastern and increasing in north-western and southern BHRs, with GW and RS being the most affected, although it can also be observed in SW peaks. Comparisons made with previous studies show that the approach and datasets used can have a considerable impact in the results. Such analysis can have broad implications in identifying the nature of amplitude and phase variability across regions in order to better characterize them and to obtain better evaluations of hydrological trends under a changing environment.
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巴西各地的储水量变化
巴西拥有大量的淡水资源。了解这些储存的水在空间和时间上是如何在地表和地下成分之间划分的,是更正确地描述该国水循环的关键一步,这对与水资源管理相关的决策具有重要意义。在此,我们基于巴西所有水文区(BHRs)中代表不同WS成分(地下水(GW)、土壤水分(SM)、地表水(SW)和人工水库(RS))的多个最新数据集,提取了2003年至2020年的月度储水(WS)变异性,并计算了每个成分对总变异性的贡献。大部分可变性可归因于SM(40-68%),其次是GW(18-40%)。西南偏南风对西北地区(受湿润季风影响)和南部地区(受亚热带系统影响)的影响较大,分别为18-40%和5-10%。RS在帕拉纳岛的贡献很大,为12.1%,旧金山为3.5%,托坎廷-阿拉瓜亚为2.1%。就长期变率而言,东部地区的储水量总体呈下降趋势,而西北部和南部地区的储水量则呈上升趋势,其中GW和RS受影响最大,尽管在西南高峰也可以观察到这种变化。与先前研究的比较表明,所使用的方法和数据集对结果有相当大的影响。这种分析在确定各区域的幅度和相位变化的性质方面具有广泛的影响,以便更好地描述它们的特征,并在不断变化的环境下更好地评价水文趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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