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<p><?tk 2?>Streambank erosion poses a threat to socioeconomic stability and infrastructure. Since extreme climate change causes severe erosion throughout the river watershed, geographic information systems, coupled with insights from channel morphometry and geomorphology, can identify streambank susceptibility to erosion at a channel reach scale. The Mae Chan River watershed, situated in northern Thailand, is susceptible to erosion due to its location surrounded by erodible hills and mountains that undergo significant land changes. Erosional hotspots are identified within the GIS-based predictive model by analyzing dynamic parameters of the fluvial landscape. The finding reveals that 70% of erosional hotspots are considered moderate to high in the middle and lower channel reaches. Streambanks meander on barren lands, grasslands, and sparse vegetation, confirmed by field surveys. The difference from the multi-temporal digital elevation data collected from 2008 to 2023 calculates the elevation and volumetric sediment changes. The result estimated that eroded sediment was approximately 1.6 times, and deposited sediment increased 5 times. The change in stream sediment corresponds to increased river discharge during the previous rainfall intensity events. The study suggests that using geoinformatics and spatial variation in fluvial landscapes can help identify erosional hotspots and assess susceptible channel reaches along the mainstream.</p>

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Identifying erosional hotspots in the Mae Chan River watershed, northern Thailand using integrated fluvial landscape dynamic parameters

  • 期刊论文

  • 发表日期：

    2025年10月22日

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  • Pichawut Manopkawee

摘要

Streambank erosion poses a threat to socioeconomic stability and infrastructure. Since extreme climate change causes severe erosion throughout the river watershed, geographic information systems, coupled with insights from channel morphometry and geomorphology, can identify streambank susceptibility to erosion at a channel reach scale. The Mae Chan River watershed, situated in northern Thailand, is susceptible to erosion due to its location surrounded by erodible hills and mountains that undergo significant land changes. Erosional hotspots are identified within the GIS-based predictive model by analyzing dynamic parameters of the fluvial landscape. The finding reveals that 70% of erosional hotspots are considered moderate to high in the middle and lower channel reaches. Streambanks meander on barren lands, grasslands, and sparse vegetation, confirmed by field surveys. The difference from the multi-temporal digital elevation data collected from 2008 to 2023 calculates the elevation and volumetric sediment changes. The result estimated that eroded sediment was approximately 1.6 times, and deposited sediment increased 5 times. The change in stream sediment corresponds to increased river discharge during the previous rainfall intensity events. The study suggests that using geoinformatics and spatial variation in fluvial landscapes can help identify erosional hotspots and assess susceptible channel reaches along the mainstream.