How much inundation occurs in the Amazon River basin?

被引:35
|
作者
Fleischmann, Ayan Santos
Papa, Fabrice
Fassoni-Andrade, Alice
Melack, John M.
Wongchuig, Sly
Paiva, Rodrigo Cauduro Dias
Hamilton, Stephen K.
Fluet-Chouinard, Etienne
Barbedo, Rafael
Aires, Filipe
Al Bitar, Ahmad
Bonnet, Marie-Paule
Coe, Michael
Ferreira-Ferreira, Jefferson
Hess, Laura
Jensen, Katherine
McDonald, Kyle
Ovando, Alex
Park, Edward
Parrens, Marie
Pinel, Sebastien
Prigent, Catherine
Resende, Angelica F.
Revel, Menaka
Rosenqvist, Ake
Rosenqvist, Jessica
Rudorff, Conrado
Silva, Thiago S. F.
Yamazaki, Dai
Collischonn, Walter
机构
[1] Mamirauá Institute for Sustainable Development, AM, Tefé
[2] Institute of Hydraulic Research, Universidade Federal do Rio Grande do Sul (UFRGS), RS, Porto Alegre
[3] Laboratoire d'Etudes en Géophysique et Océanographie Spatiales (LEGOS), Université de Toulouse, IRD, CNRS, CNES, USP, Toulouse
[4] Institut de Recherche pour le Développement (IRD), Universidade de Brasília (UnB), Institute of Geosciences, Campus Universitário Darcy Ribeiro, 70910-900, Brasilia
[5] Earth Research Institute, University of California, Santa Barbara
[6] Univ. Grenoble Alpes, IRD, CNRS, Grenoble INP, Institut des Géosciences de l'Environnement (IGE, UMR 5001), Grenoble
[7] Kellogg Biological Station, Michigan State University, Hickory Corners, 49060, MI
[8] Department of Earth System Science, Stanford University, Stanford, CA
[9] Laboratoire d'Etudes du Rayonnement et de la Matière en Astrophysique et Atmosphères, Observatoire de Paris, UMR 8112, Paris
[10] Centre d'Etudes Spatiales de la Biosphère (CESBIO), Toulouse University (CNES, CNRS, INRAE, IRD, UPS), Toulouse
[11] Espace-DEV, Univ Montpellier, Institute of Research for Development, Univ Guyane, Univ Reunion, Montpellier
[12] Woodwell Climate Research Center, Falmouth, MA
[13] Department of Earth and Atmospheric Sciences, City College of New York, City University of New York, New York, 10031, NY
[14] Department of Earth and Environmental Science, The Graduate Center, City University of New York, New York, 10031, NY
[15] Centro Nacional de Monitoramento de Desastres Naturais (CEMADEN), São José dos Campos, São Paulo
[16] National Institute of Education, Earth Observatory of Singapore and Asian School of the Environment, Nanyang Technological University
[17] Centre d'Etudes Spatiales de la Bioshpère (CESBIO), CNES, Université de Toulouse (UPS)
[18] Dynafor, Université de Toulouse, INRAE, INPT, INP-PURPAN, Castanet-Tolosan
[19] CEFREM, University of Perpignan Via Domitia, Perpignan
[20] CNRS, Sorbonne Université, Observatoire de Paris, université PSL, Lerma, Paris
[21] Universidade de São Paulo, Departamento de Ciências Florestais (ESALQ), SP, Piracicaba
[22] Institute of Industrial Science, The University of Tokyo, Tokyo
[23] solo Earth Observation (soloEO), Tokyo
[24] Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling
[25] Cary Institute of Ecosystem Studies, Millbrook, 12545, NY
[26] WRI Brasil, São Paulo
基金
美国国家科学基金会; 巴西圣保罗研究基金会;
关键词
Brazil; Flooding; Surface water; Floodplains; Interfluvial wetlands; SURFACE-WATER DYNAMICS; PASSIVE MICROWAVE; FLOOD DYNAMICS; SOUTH-AMERICA; FOREST COVER; LONG-TERM; SRTM-DEM; WETLANDS; PATTERNS; SATELLITE;
D O I
10.1016/j.rse.2022.113099
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Amazon River basin harbors some of the world's largest wetland complexes, which are of major importance for biodiversity, the water cycle and climate, and human activities. Accurate estimates of inundation extent and its variations across spatial and temporal scales are therefore fundamental to understand and manage the basin's resources. More than fifty inundation estimates have been generated for this region, yet major differences exist among the datasets, and a comprehensive assessment of them is lacking. Here we present an intercomparison of 29 inundation datasets for the Amazon basin, based on remote sensing only, hydrological modeling, or multisource datasets, with 18 covering the lowland Amazon basin (elevation <500 m, which includes most Amazon wetlands), and 11 covering individual wetland complexes (subregional datasets). Spatial resolutions range from 12.5 m to 25 km, and temporal resolution from static to monthly, spanning up to a few decades. Overall, 31% of the lowland basin is estimated as subject to inundation by at least one dataset. The long-term maximum inundated area across the lowland basin is estimated at 599,700 +/- 81,800 km2 if considering the three higher quality SAR-based datasets, and 490,300 +/- 204,800 km2 if considering all 18 datasets. However, even the highest resolution SAR-based dataset underestimates the maximum values for individual wetland complexes, suggesting a basin-scale underestimation of ~10%. The minimum inundation extent shows greater disagreements among datasets than the maximum extent: 139,300 +/- 127,800 km2 for SAR-based ones and 112,392 +/- 79,300 km2 for all datasets. Discrepancies arise from differences among sensors, time periods, dates of acquisition, spatial resolution, and data processing algorithms. The median total area subject to inundation in medium to large river floodplains (drainage area > 1000 km2) is 323,700 km2. The highest spatial agreement is observed for floodplains dominated by open water such as along the lower Amazon River, whereas intermediate agreement is found along major vegetated floodplains fringing larger rivers (e.g., Amazon mainstem floodplain). Especially large disagreements exist among estimates for interfluvial wetlands (Llanos de Moxos, Pacaya-Samiria, Negro, Roraima), where inundation tends to be shallower and more variable in time. Our data intercomparison.
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页数:24
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