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高鐵雲林段黃金廊道一期稻作面積年際變化與地層下陷量關係探討

The Discussion of the First Crop Rice Area and Land Subsidence on the Golden Corridor of Taiwan High Speed Rail in Yunlin County

摘要


本研究用監督式影像分類,判釋2018、2020年上半年雲林地區福衛五號衛星影像,以QGIS分區統計功能,擷取水稻空間資訊,計算兩個年度高鐵黃金廊道內、外區域的水稻面積。並配合水利署地層下陷監測井資料,討論水稻面積變化與地層下陷的關係。研究結果發現高鐵黃金廊道內,2020年一期稻作面積較2018年減少的程度較高鐵廊道外明顯,且同期廊道內地層下陷量減緩程度亦較廊道外顯著。兩者在95%的信心水準下,通過t檢定,顯示廊道內、外在水稻面積減少量和地層下陷減緩的程度存在顯著差異,說明黃金廊道內可能因水田轉作為旱作,而使地層下陷有減緩的現象。

並列摘要


In this study, we used the supervised image classification to interpret the Formosat-5 image in Yunlin area during the first season of 2018 and 2020. We used the function of QGIS Zonal Statistics to retrieve the spatial information of rice inside and outside the Golden Corridor, respectively. Based on the Land Subsidence Monitoring Wells data collected from the Water Resources Agency, we discussed the relationship between the changes in the rice area and land subsidence. We found that the area of the first crop of 2020 was significantly less than 2018 within the Golden Corridor. We also found that the decrease in the depth of land subsidence of the inner side, was also more significant than that of the outer area. At a 95% confidence level, the results of the t-test shows significant differences in the reduction of rice area and land subsidence on both the inner and outer sides of the Golden Corridor. The results also suggested that the policy of converting rice paddy fields to dry land farming is probably effective in reducing land subsidence.

參考文獻


吳秉昇、陳宇軒、王冠棋,2021。雲林地層下陷之脆弱度評估與地理加權迴歸分析,中國地理學會會刊,68:25–42,DOI: 10.29972/BGSC.202112_(68).0002。[Wu, B.S., Chen, Y.H., and Wang, K.C., 2021. Assessment of vulnerability and geographically weighted regression analysis of land subsidence in Yunlin, Taiwan, Bulletin of the Geographical Society of China, 68: 25-42, DOI: 10.29972/BGSC.202112_(68).0002. (in Chinese)]
林委億、陳子曦、洪承鈞,2020。利用常態化差異植生指數並配合監督式分類進行臺中市西部土地利用變遷之探討,航測及遙測學刊,25(4):227–240 , DOI:10.6574/JPRS.202012_25(4).0003 。 [Lin, W.Y., Chen, Z.X., and Hung, C.C., 2020. Employing the NDVI and supervised classification to study the land use change in western Taichung City, Journal of Photogrammetry and Remote Sensing, 25(4): 227-240, DOI: 10.6574/JPRS.202012_25(4).0003. (in Chinese)]
范慶龍,2021。監督式機器學習於土地覆蓋分類效益之研究,台灣土地研究,24(1):67–94,DOI:10.6677/JTLR.202105_24(1).0003。 [Fan, C.L., 2021. Research on the benefits of supervised machine learning in land cover classification, Journal of Taiwan Land Research, 24(1): 67-94, DOI: 10.6677/JTLR.202105_24(1).0003. (in Chinese)]
陳映璇、姚亮亘、張婷雅、吳秉勳,2022。以福衛五號影像分析嘉義廢棄鹽田的太陽能產業發展,航測及遙測學刊,27(3):179–191,DOI:10.6574/JPRS.202209_27(3).0004。[Chen, Y.X., Yao, L.S., Chang, T.Y., and Wu, B.X., 2022. Investigation on development of solar energy industry in the salt ponds of Chayi County using foremast-5 imagery, Journal of Photogrammetry and Remote Sensing, 27(3): 179-191, DOI: 10.6574/JPRS.202209_27(3).0004. (in Chinese)]
中興工程顧問股份有限公司,2011。由水文地質與地下水關係研析土地利用之方向–彰雲高鐵沿線地區,經濟部水利署委託研究計畫成果報告書,共 500 頁 。 [Sinotech Engineering Consultants Ltd., 2011. Final report for the analysis of land utilization from the view of hydrology and groundwater - The area along THSR in Changhua and Yunlin County, 1-500. (in Chinese)]

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