期刊论文详细信息
JOURNAL OF ENVIRONMENTAL MANAGEMENT 卷:278
Visualisation of flooding along an unvegetated, ephemeral river using Google Earth Engine: Implications for assessment of channel-floodplain dynamics in a time of rapid environmental change
Article
Li, Jiaguang1,2  Tooth, Stephen3  Zhang, Kun4  Zhao, Yang1 
[1] China Univ Geosci, Minist Educ, Key Lab Tecton & Petr Resources, Wuhan 430074, Peoples R China
[2] Key Lab Theory & Technol Petr Explorat & Dev Hube, Wuhan 430074, Peoples R China
[3] Aberystwyth Univ, Dept Geog & Earth Sci, Aberystwyth SY23 3DB, Dyfed, Wales
[4] Inst Geol Survey Qinghai Prov, Xining 810012, Peoples R China
关键词: Channel dynamics;    Flood mapping;    Floodplain;    Google Earth Engine;    Meandering river;    Unvegetated channel;   
DOI  :  10.1016/j.jenvman.2020.111559
来源: Elsevier
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【 摘 要 】

Given rapid environmental change, the development of new, data-driven, interdisciplinary approaches is essential for improving assessment and management of river systems, especially with respect to flooding. In the world's extensive drylands, difficulties in obtaining field observations of major hydrological events mean that remote sensing techniques are commonly used to map river floods and assess flood impacts. Such techniques, however, are dependent on available cloud-free imagery during or immediately after peak discharge, and single images may omit important flood-related hydrogeomorphological events. Here, we combine multiple Landsat images from Google Earth Engine (GEE) with precipitation datasets and high-resolution (<0.65 m) satellite imagery to visualise flooding and assess the associated channel-floodplain dynamics along a 25 km reach of the unvegetated, ephemeral Rio Colorado, Bolivia. After cloud and shadow removal, Landsat surface reflectance data were used to calculate the Modified Normalized Difference Water Index (MNDWI) and map flood extents and patterns. From 2004 through 2016, annual flooding area along the narrow (<30 m), shallow (<1.7 m), finegrained (dominantly silt/clay) channels was positively correlated (R-2 = 0.83) with 2-day maximum precipitation totals. Rapid meander bend migration, bank erosion, and frequent overbank flooding was associated with formation of crevasse channels, splays, and headward-eroding channels, and with avulsion (shifting of flow from one channel to another). These processes demonstrate ongoing, widespread channel-floodplain dynamics despite low stream powers and cohesive sediments. Application of our study approaches to other dryland rivers will help generate comparative data on the controls, rates, patterns and timescales of channel-floodplain dynamics under scenarios of climate change and direct human impacts, with potential implications for improved river management.

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