利用衛星影像及監測數據分析高屏溪揚塵災害與潛在發生區位

Analysis of Aeolian Dust Disasters and Potential Areas of Aeolian Dust Occurrence of Gaoping River with Satellite Images and Monitoring Data

林彥儀(Yen-Yi Lin) ； 林宇家(Yu-Chia Lin) ； 洪子棋(Tzu-Chi Hung) ； 林佳慧(Chia-Hui Lin)

《航測及遙測學刊》 26卷4期 (2021/12) Pp. 229-246

https://doi.org/10.6574/JPRS.202112_26(4).0004

摘要

本文嘗試探索高屏溪揚塵災害之原因及來源。我們蒐集風速、風向與PM_(10)資料，繪製2012年以來三場揚塵災害的風花圖與PM_(10)分布圖，發現高屏溪揚塵主要受強烈南風揚起，具沿河向北輸送的特性。為找到揚塵來源，我們將2018～2020年三個時段的衛星影像轉成NDVI與NDWI，透過前後期顏色變化找出休耕農地、沙洲與高低灘地。我們也利用QGIS-SCP將衛星影像做監督式分類，轉成向量模式後進行跨年度疊圖，發現研究區北段的二重溪河道沙洲，與面積大且長時間休耕的農場，揚塵潛在威脅最大。最後以衛星影像分析與實地考察結果，繪出高屏溪揚塵潛在發生區位，提供揚塵抑制規劃參考。

關鍵字

揚塵 ； 高屏溪 ； 福衛五號 ； 衛星影像分析 ； 監測數據分析

並列摘要

This study focuses on the causes and sources of aeolian dust along the Gaoping River. First, various data, including wind speed, wind direction, and PM_(10), are collected to draw wind rose charts and isarithmic maps. The illustrations point out that generally, dusts are raised by south winds and later transported north along the river. Next, satellite images between 2018 and 2020 are converted to NDVI and NDWI modes with the aim of determining the sources of aeolian dust. Different colors are used to depict the special distributions of fallow farmlands, sandbars, high and low riverbanks, etc. After that, with the use of QGIS-SCP supervised image classification and its later converted vector mode, overlay analysis over the years is performed. The results suggest that wide fallow farmlands and sandbars of Erzhong River, both lying in the northern section of the research area, comprise the greatest threat of aeolian dust occurrences. Based on the analysis mentioned above as well as field investigation, this study lays out the potential areas of aeolian dust occurrence along the Gaoping River, and it is hoped to assist the future plans for suppressing aeolian dust.

並列關鍵字

Aeolian dust ； Gaoping River ； FormoSat-5 ； Satellite image analysis ； Monitoring data analysis

參考文獻

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