研究生: |
陳宇軒 Chen, Yu-Hsuan |
---|---|
論文名稱: |
臺灣雲林地層下陷災害空間分析 A Spatial Analysis of Land Subsidence Hazard in Yunlin, Taiwan |
指導教授: |
吳秉昇
Wu, Bing-Sheng 王冠棋 Wang, Kuan-Chi |
口試委員: |
陳致元
Chen, Chih-Yuan 洪立三 Hung, Li-San 王冠棋 Wang, Kuan-Chi 吳秉昇 Wu, Bing-Sheng |
口試日期: | 2020/12/04 |
學位類別: |
碩士 Master |
系所名稱: |
地理學系 Department of Geography |
論文出版年: | 2021 |
畢業學年度: | 109 |
語文別: | 中文 |
論文頁數: | 84 |
中文關鍵詞: | Boruta 、地層下陷 、風險 、空間模型 、脆弱度 |
英文關鍵詞: | Boruta, land subsidence, loss, risk, spatial modeling, vulnerability, Yunlin |
研究方法: | 空間分析 |
DOI URL: | http://doi.org/10.6345/NTNU202100928 |
論文種類: | 學術論文 |
相關次數: | 點閱:152 下載:0 |
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Abri, F., Gutierrez, L. F., Namin, A. S., Jones, K. S., & Sears, D. R. W. (2020). Fake Reviews Detection through Analysis of Linguistic Features. ArXiv:2010.04260 [Cs]. http://arxiv.org/abs/2010.04260
Adger, N., Aggarwal, P., Agrawala, S., Alcamo, J., Allali, A., Arnell, N., Boko, M., Canziani, O., Carter, T., Casassa, G., Cruz, R. V., Alcaraz, E. de A., Easterling, W., Field, C., Fischlin, A., Fitzharris, B. B., García, C. G., Hanson, C., Harasawa, H., ... Yohe, G. (2007). Climate Change 2007: Impacts, Adaptation and Vulnerability Working Group II Contribution to the Intergovernmental Panel on Climate Change Fourth Assessment Report. 23.
Adger, W. N. (2006). Vulnerability. Global Environmental Change, 16(3), 268–281. https://doi.org/10.1016/j.gloenvcha.2006.02.006
Adger, W. N., Brooks, N., Bentham, G., Agnew, M., & Eriksen, S. (2004). New indicators of vulnerability and adaptive capacity. 129.
Anselin, L. (1996). Interactive Techniques and Exploratory Spatial Data Analysis. Regional Research Institute Working Papers. https://researchrepository.wvu.edu/rri_pubs/200
Anselin, L. (1999). The Future of Spatial Analysis in the Social Sciences. Geographic Information Sciences, 5(2), 67–76. https://doi.org/10.1080/10824009909480516
bbc.com. (2020, June 22). Arctic Circle sees “highest-ever” temperatures. BBC News. https://www.bbc.com/news/science-environment-53140069
Blachowski, J. (2016). Application of GIS spatial regression methods in assessment of land subsidence in complicated mining conditions: Case study of the Walbrzych coal mine (SW Poland). Natural Hazards, 84(2), 997–1014. https://doi.org/10.1007/s11069-016-2470-2
Bogard, W. C. (1988). Bringing Social Theory to Hazards Research: Conditions and Consequences of the Mitigation of Environmental Hazards. Sociological Perspectives, 31(2), 147–168. JSTOR. https://doi.org/10.2307/1389080
Bohle, H. G., Downing, T. E., & Watts, M. J. (1994). Climate change and social vulnerability. Global Environmental Change, 4(1), 37–48. https://doi.org/10.1016/0959-3780(94)90020-5
Burton, I. (1994). Deconstructing adaptation... And reconstructing. Delta, 5(1), 14–15. Busby, E. J. W., & Hazen, J. M. (2011). Mapping and Modeling Climate Security Vulnerability: Workshop Report. 34.
Cao, J., Ma, F., Guo, J., Lu, R., & Liu, G. (2019). Assessment of mining-related seabed subsidence using GIS spatial regression methods: A case study of the Sanshandao gold mine (Laizhou, Shandong Province, China). Environmental Earth Sciences, 78(1), 26. https://doi.org/10.1007/s12665-018-8022-1
Chandrashekar, G., & Sahin, F. (2014). A survey on feature selection methods. Computers & Electrical Engineering, 40(1), 16–28. https://doi.org/10.1016/j.compeleceng.2013.11.024
Chang, C.-C., & Wang, T.-N. (2006). GPS Monitoring Ground Subsidence Associated with Seasonal Underground Water Level Decline: Case Analysis for a Section of Taiwan High Speed Rail. 66(1), 10.
Chien, L.-K., Wu, J.-P., & Tseng, W.-C. (2019). The Study of Risk Assessment of Soil Liquefaction on Land Development and Utilization by GIS in Taiwan. In J. Rocha & P. Abrantes (Eds.), Geographic Information Systems and Science. IntechOpen. https://doi.org/10.5772/intechopen.82417
Clayton, S., Devine-Wright, P., Stern, P. C., Whitmarsh, L., Carrico, A., Steg, L., Swim, J., & Bonnes, M. (2015). Psychological research and global climate change. Nature Climate Change, 5(7), 640–646. https://doi.org/10.1038/nclimate2622
Coumou, D., & Rahmstorf, S. (2012). A decade of weather extremes. Nature Climate Change, 2(7), 491–496. https://doi.org/10.1038/nclimate1452
Cox, LA. (2008). What’s Wrong with Risk Matrices? Risk Analysis, 28(2), 497–512. https://doi.org/10.1111/j.1539-6924.2008.01030.x
Cuevas, S. C. (2011). Climate change, vulnerability, and risk linkages. International Journal of Climate Change Strategies and Management, 3(1), 29–60. https://doi.org/10.1108/17568691111107934
Cutter, S. L. (1996). Vulnerability to environmental hazards. Progress in Human Geography, 20(4), 529–539. https://doi.org/10.1177/030913259602000407
Cutter, S. L., Boruff, B. J., & Shirley, W. L. (2003). Social Vulnerability to Environmental Hazards*. Social Science Quarterly, 84(2), 242–261. https://doi.org/10.1111/1540-6237.8402002
Cutter, S. L., & Emrich, C. (2005). Are natural hazards and disaster losses in the U.S. increasing? Eos, Transactions American Geophysical Union, 86(41), 381–389. https://doi.org/10.1029/2005EO410001
Cutter, S. L., & Finch, C. (2008). Temporal and spatial changes in social vulnerability to natural hazards. Proceedings of the National Academy of Sciences, 105(7), 2301–2306. https://doi.org/10.1073/pnas.0710375105
Cutter, S. L., Mitchell, J. T., & Scott, M. S. (2000). Revealing the Vulnerability of People and Places: A Case Study of Georgetown County, South Carolina. Annals of the Association of American Geographers, 90(4), 713–737. https://doi.org/10.1111/0004-5608.00219
Dall’Osso, F., Gonella, M., Gabbianelli, G., Withycombe, G., & Dominey-Howes, D. (2009). A revised (PTVA) model for assessing the vulnerability of buildings to tsunami damage. Natural Hazards and Earth System Science, 9(5), 1557–1565. https://doi.org/10.5194/nhess-9-1557-2009
Dao, H., & Peduzzi, P. (2003). Global Risk And Vulnerability Index Trends per Year (GRAVITY) Phase IV: Annex to WVR and Multi Risk Integration.
Das, S., Ghosh, A., Hazra, S., Ghosh, T., Safra de Campos, R., & Samanta, S. (2020). Linking IPCC AR4 & AR5 frameworks for assessing vulnerability and risk to climate change in the Indian Bengal Delta. Progress in Disaster Science, 7, 100110. https://doi.org/10.1016/j.pdisas.2020.100110
Dietterich, T. G. (1997). Machine-Learning Research. AI magazine, 18, 97-136.
Dow, K. (1992). Exploring differences in our common future(s): The meaning of vulnerability to global environmental change. Geoforum, 23(3), 417–436. https: //doi.org/10.1016/0016-7185(92)90052-6
Eakin, H., & Luers, A. L. (2006). Assessing the Vulnerability of Social-Environmental Systems. Annual Review of Environment and Resources, 31(1), 365–394. https://doi.org/10.1146/annurev.energy.30.050504.144352
Esteban, M., Jamero, Ma. L., Nurse, L., Yamamoto, L., Takagi, H., Thao, N. D., Mikami, T., Kench, P., Onuki, M., Nellas, A., Crichton, R., Valenzuela, V. P., Chadwick, C., Avelino, J. E., Tan, N., & Shibayama, T. (2019). Adaptation to sea level rise on low coral islands: Lessons from recent events. Ocean & Coastal Management, 168, 35–40. https://doi.org/10.1016/j.ocecoaman.2018.10.031
Fellmann, T. (2012). The assessment of climate change-related vulnerability in the agricultural sector: Reviewing conceptual frameworks. 26.
Ferber, R. (1956). Are Correlations any Guide to Predictive Value? Journal of the Royal Statistical Society. Series C (Applied Statistics), 5(2), 113–121. https://doi.org/10.2307/2985494
Fotheringham, A., Charlton, M., & Brunsdon, C. (1996). The Geography of Parameter Space: An Investigation of Spatial Non-Stationarity. International Journal of Geographical Information Science, 10, 605–627. https://doi.org/10.1080/026937996137909
Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. https://doi.org/null
Füssel, H.-M. (2007). Vulnerability: A generally applicable conceptual framework for climate change research. Global Environmental Change, 17(2), 155–167. https://doi.org/10.1016/j.gloenvcha.2006.05.002
Füssel, H.-M., & Klein, R. J. T. (2006). Climate Change Vulnerability Assessments: An Evolution of Conceptual Thinking. Climatic Change, 75(3), 301–329. https://doi.org/10.1007/s10584-006-0329-3
Getis, A., & Ord, J. K. (1992). The Analysis of Spatial Association by Use of Distance Statistics. Geographical Analysis, 24(3), 189–206. https://doi.org/10.1111/j.1538-4632.1992.tb00261.x
Hahn, M. B., Riederer, A. M., & Foster, S. O. (2009). The Livelihood Vulnerability Index: A pragmatic approach to assessing risks from climate variability and change—A case study in Mozambique. Global Environmental Change, 19(1), 74–88. https://doi.org/10.1016/j.gloenvcha.2008.11.002
Hwang, C., Hung, W.-C., & Liu, C.-H. (2008). Results of geodetic and geotechnical monitoring of subsidence for Taiwan High Speed Rail operation. Natural Hazards, 47(1), 1–16. https://doi.org/10.1007/s11069-007-9211-5
IPCC. (2001). Overview of Impacts, Adaptation, and Vulnerability to Climate Change—IPCC. https://www.ipcc.ch/report/ar3/wg2/chapter-1-overview-of-impacts-adaptation-and- vulnerability-to-climate-change/
Karaye, I. M., & Horney, J. A. (2020). The Impact of Social Vulnerability on COVID-19 in the U.S.: An Analysis of Spatially Varying Relationships. American Journal of Preventive Medicine, 59(3), 317–325. https://doi.org/10.1016/j.amepre.2020.06.006
Kelly, P. M., & Adger, W. N. (2000). Theory and Practice in Assessing Vulnerability to Climate Change andFacilitating Adaptation. Climatic Change, 47(4), 325–352. https://doi.org/10.1023/A:1005627828199
Kursa, M. B., Jankowski, A., & Rudnicki, W. R. (2010). Boruta – A System for Feature Selection. Fundamenta Informaticae, 101(4), 271–285. https://doi.org/10.3233/FI-2010-288
Kursa, M. B., & Rudnicki, W. R. (2010). Feature Selection with the Boruta Package. Journal of Statistical Software, 36(11). https://doi.org/10.18637/jss.v036.i11
Laken, P. van der. (2021, January 12). ppsr: An R implementation of the Predictive Power Score | R-bloggers. https://www.r-bloggers.com/2021/01/ppsr-an-r-implementation-of-the-predictive-power-score/
Liaw, A., & Wiener, M. (2002). Classification and Regression by randomForest. 2, 5.
Lin, W.-Y., & Hung, C.-T. (2016). Applying spatial clustering analysis to a township-level social vulnerability assessment in Taiwan. Geomatics, Natural Hazards and Risk, 7(5), 1659– 1676. https://doi.org/10.1080/19475705.2015.1084542
Liverman, D. (1990). Vulnerability to Global Change. Clark University, Earth Transformed Program: Worcester MA. https://dianaliverman.files.wordpress.com/2014/12/liverman-1990-vulnerability-to-gec- in-kasperson-et-al.pdf
Lopez-Carr, D., Pricope, N. G., Aukema, J. E., Jankowska, M. M., Funk, C., Husak, G., & Michaelsen, J. (2014). A spatial analysis of population dynamics and climate change in Africa: Potential vulnerability hot spots emerge where precipitation declines and demographic pressures coincide. Popul Environ, 17.
Ludena, C. E., & Yoon, S. W. (2015). Local Vulnerability Indicators and Adaptation to Climate Change. 51.
Macdonald, N., Chester, D., Sangster, H., Todd, B., & Hooke, J. (2012). The significance of Gilbert F. White’s 1945 paper ‘Human adjustment to floods’ in the development of risk and hazard management. Progress in Physical Geography: Earth and Environment, 36(1), 125–133. https://doi.org/10.1177/0309133311414607
Miller, H. J. (2004). Tobler’s First Law and Spatial Analysis. Annals of the Association of American Geographers, 94(2), 284–289. JSTOR.
Moran, P. a. P. (1950). NOTES ON CONTINUOUS STOCHASTIC PHENOMENA. Biometrika, 37(1–2), 17–23. https://doi.org/10.1093/biomet/37.1-2.17
Mukherji, A. (2006). Political ecology of groundwater: The contrasting case of water-abundant West Bengal and water-scarce Gujarat, India. Hydrogeology Journal, 14(3), 392–406. https://doi.org/10.1007/s10040-005-0007-y
Naik, N., & Mohan, B. R. (2019). Stock Price Movements Classification Using Machine and Deep Learning Techniques-The Case Study of Indian Stock Market. In J. Macintyre, L. Iliadis, I. Maglogiannis, & C. Jayne (Eds.), Engineering Applications of Neural Networks (pp. 445–452). Springer International Publishing. https://doi.org/10.1007/978-3-030- 20257-6_38
O’Brien, K., Eriksen, S., Nygaard, L. P., & Schjolden, A. (2007). Why different interpretations of vulnerability matter in climate change discourses. Climate Policy, 7(1), 73–88. https://doi.org/10.1080/14693062.2007.9685639
O’Brien, K. L., & Leichenko, R. M. (2000). Double exposure: Assessing the impacts of climate change within the context of economic globalization. Global Environmental Change, 10(3), 221–232. https://doi.org/10.1016/S0959-3780(00)00021-2
O’Brien, K., Leichenko, R., Kelkar, U., Venema, H., Aandahl, G., Tompkins, H., Javed, A., Bhadwal, S., Barg, S., Nygaard, L., & West, J. (2004). Mapping vulnerability to multiple stressors: Climate change and globalization in India. Global Environmental Change, 14(4), 303–313. https://doi.org/10.1016/j.gloenvcha.2004.01.001
Pancerz, K., Paja, W., & Gomuła, J. (2016). Random forest feature selection for data coming from evaluation sheets of subjects with ASDs. 2016 Federated Conference on Computer Science and Information Systems (FedCSIS), 299–302.
Papathoma-Köhle, M., Schlögl, M., & Fuchs, S. (2019). Vulnerability indicators for natural hazards: An innovative selection and weighting approach. Scientific Reports, 9(1), 15026. https://doi.org/10.1038/s41598-019-50257-2
Paul, S. K. (2013). Vulnerability Concepts and its Application in Various Fields: A Review on Geographical Perspective. https://doi.org/10.3329/jles.v8i0.20150
Prasannakumar, V., Vijith, H., Charutha, R., & Geetha, N. (2011). Spatio-Temporal Clustering of Road Accidents: GIS Based Analysis and Assessment. Procedia - Social and Behavioral Sciences, 21, 317–325. https://doi.org/10.1016/j.sbspro.2011.07.020
Preston, B. L., & Stafford-Smith, M. (2009). Framing vulnerability and adaptive capacity assessment: Discussion paper. CSIRO Climate Adaptation Flagship Working Paper, No.1, CSIRO,Australia. https://publications.csiro.au/rpr/download?pid=procite: adb84f2f-6855-4daa-95de-8b7d1d7603b3&dsid=DS1
Ram, S., & Liu, J. (2009, January 1). A New Perspective on Semantics of Data Provenance.
RAMLI, M. W. A., Alias, N. E. B., & Yusop, Z. (2019). A Review on Disaster Risk Index of Various Countries. 4th Global Summit of Research Institutes for Disaster Risk Reduction. http://gadri.net/4gsridrr/4thGlobalSummit_presentations/19gadri4022.pdf
Renard, F. (2017). Flood risk management centred on clusters of territorial vulnerability. Geomatics, Natural Hazards and Risk, 8(2), 525–543. https://doi.org/10.1080/19475705.2016.1250111
Roy, J., Tschakert, P., Waisman, H., Halim, S., Antwi-Agyei, P., Dasgupta, P., Hayward, B., Kanninen, M., Liverman, D., Okereke, C., Pinho, P., Riahi, K., Rodriguez, A., Aragón- Durand, F., Babiker, M., Bangalore, M., Bertoldi, P., Byers, E., Choudhary, B., & Wewerinke-Singh, M. (2018). Sustainable development, poverty eradication and reducing inequalities. In: Global warming of 1.5°C. An IPCC Special Report.
Schipper, L., & Burton, I. (2009). Understanding adaptation: Origins, concepts, practice and policy. 1–8.
Schneiderbauer, S., & Ehrlich, D. (2004.). Risk, hazard and people’s vulnerability to natural hazards. 43.
Shah, T., Giordano, M., & Wang, J. (2004). Irrigation Institutions in a Dynamic Economy: What Is China Doing Differently from India? Economic and Political Weekly, 39, 3452– 3461. https://doi.org/10.2307/4415340
Sharma, J., & Ravindranath, N. H. (2019). Applying IPCC 2014 framework for hazard-specific vulnerability assessment under climate change. Environmental Research Communications, 1(5), 051004. https://doi.org/10.1088/2515-7620/ab24ed
Shi, Y., Shi, D., & Cao, X. (2018). Impacting Factors and Temporal and Spatial Differentiation of Land Subsidence in Shanghai. Sustainability, 10(9), 3146. https://doi.org/10.3390/su10093146
Shimpo, A., Takemura, K., Wakamatsu, S., Togawa, H., Mochizuki, Y., Takekawa, M., Tanaka, S., Yamashita, K., Maeda, S., Kurora, R., Murai, H., Kitabatake, N., Tsuguti, H., Mukougawa, H., Iwasaki, T., Kawamura, R., Kimoto, M., Takayabu, I., Takayabu, Y. N., ... Nakamura, H. (2019). Primary Factors behind the Heavy Rain Event of July 2018 and the Subsequent Heat Wave in Japan. SOLA, 15A(0), 13–18. https://doi.org/10.2151/sola.15A-003
Smit, B., & Wandel, J. (2006). Adaptation, adaptive capacity and vulnerability. Global Environmental Change, 16(3), 282–292. https://doi.org/10.1016/j.gloenvcha.2006.03.008
Smithers, J., & Smit, B. (1997). Human adaptation to climatic variability and change. Global Environmental Change, 7(2), 129–146. https://doi.org/10.1016/S0959-3780(97)00003-4
Sung, C.-H., & Liaw, S.-C. (2020). A GIS Approach to Analyzing the Spatial Pattern of Baseline Resilience Indicators for Community (BRIC). Water, 12(5), 1401. https://doi.org/10.3390/w12051401
Timmerman, P. (Peter). (1981). Vulnerability, resilience and the collapse of society: A review of models and possible climatic applications. Toronto : institute for Environmental Studies, University of Toronto. http://archive.org/details/vulnerabilityres00timm
Tobler, W. (2004). On the First Law of Geography: A Reply. Annals of the Association of American Geographers, 94(2), 304–310. https://doi.org/10.1111/j.1467-8306.2004.09402009.x
Tobler, W. R. (1970). A Computer Movie Simulating Urban Growth in the Detroit Region. Economic Geography, 46, 234–240. JSTOR. https://doi.org/10.2307/143141
Vautard, R., van Aalst, M., Boucher, O., Drouin, A., Haustein, K., Kreienkamp, F., van Oldenborgh, G. J., Otto, F. E. L., Ribes, A., Robin, Y., Schneider, M., Soubeyroux, J.-M., Stott, P., Seneviratne, S. I., Vogel, M. M., & Wehner, M. (2020). Human contribution to the record-breaking June and July 2019 heat waves in Western Europe. Environmental Research Letters. https://doi.org/10.1088/1748-9326/aba3d4
Wang, J., Huang, J., Huang, Q., & Rozelle, S. (2006). Privatization of tubewells in North China: Determinants and impacts on irrigated area, productivity and the water table. Hydrogeology Journal, 14(3), 275–285. https://doi.org/10.1007/s10040-005-0482-1
Wang, J., Huang, J., Rozelle, S., Huang, Q., & Zhang, L. (2009). Understanding the Water Crisis in Northern China: What the Government and Farmers are Doing. International Journal of Water Resources Development, 25(1), 141–158. https://doi.org/10.1080/07900620802517566
White, G. F. (1945). Human Adjustment to Floods: A Geographical Approach to the Flood Problem in the United States. University of Chicago.
Wisner, B. (2016). Vulnerability as Concept, Model, Metric, and Tool. In B. Wisner, Oxford Research Encyclopedia of Natural Hazard Science. Oxford University Press. https://doi.org/10.1093/acrefore/9780199389407.013.25
Xiong, W., Lin, E., Ju, H., & Xu, Y. (2007). Climate change and critical thresholds in China’s food security. Climatic Change, 81(2), 205–221. https://doi.org/10.1007/s10584-006-9123-5
王俊明、李心平、李鎮鍵、臧運忠、謝正倫 (2010)。莫拉克颱風災害綜覽。中華防災學 刊,2(1),27-34。 https://doi.org/10.30052/JTDPS.201002.0004
台灣大學 (2013)。台灣脆弱度及風險地圖製作與整合應用(2/2)。經濟部水利署。 https://lib.wra.gov.tw/opac/mdl_bibliography/book_detail.aspx
交通部鐵道局 (2020 年 4 月 13 日)。計畫介紹- 高鐵建設- 台灣高鐵。 https://www.rb.gov.tw/showpage.php?lmenuid=3&smenuid=68&tmenuid=93
行政法人國家災害防救科技中心 (2020)。臺灣歷史極端氣候災害事件。氣候變遷災害風險 調適平台。https://dra.ncdr.nat.gov.tw/Frontend/Disaster/ClimateDetail/BAL0000004
李欣輯、徐永衡、黃暄穎、陳永明、張駿暉、林李耀 (2016) 。黃金廊道灌區之農作淹水 災害潛勢評估。農業工程學報,62(3),51-62。 https://doi.org/10.29974/JTAE.201609_62(3).0005
林冠慧、孫志鴻 (2004)。全球變遷人文面向研究的新發展—IHDP 2003 open meeting 的回 顧。全球變遷通訊雜誌, 41, 40-43。 https://doi.org/10.6539/GCC.200403_(41).0006
林冠慧、張長義 (2015)。脆弱性研究的演變與當前發展。地理學報,77,49-82。 https://doi.org/10.6161/jgs.2015.77.03
國家災害防救科技中心、中央研究院環境變遷研究中心、科技部「臺灣氣候變遷推估資 訊與調適知識平台計畫」(2017)。臺灣氣候的過去與未來。國家災害防救科技中 心。https://tccip.ncdr.nat.gov.tw/publish_01_one.aspx?bid=20181112092940
張學聖、劉佩佳 (2015)。考量空間關聯之地區洪災脆弱性研究以雲林縣易淹水地區為例。 地理學報,79,1-29。 https://doi.org/10.6161/jgs.2015.79.01
溫在弘、劉擇昌、林民浩 (2010)。犯罪地圖繪製與熱區分析方法及其應用,地理研究, 52,43-63。 http://rportal.lib.ntnu.edu.tw:80/handle/20.500.12235/23907
經濟部 (2014)。地下水補注地質敏感區劃定計畫書 G0001 濁水溪沖積扇。
經濟部水利署 (2018)。107 年度彰化及雲林地區地層下陷監測及分析。 https://lib.wra.gov.tw/libebookFlip/2018/1010702600b/mobile/index.html#p=122
經濟部水利署 (2011)。違規水井處置作業規劃與量水設備設置推動計畫。
經濟部水利署水文技術組 (2019)。雲林地區地下水抽取對分層地下水位影響機制之探討。 http://epaper.wra.gov.tw/Article_Detail.aspx?s=AC1BC98086AD044F
經濟部水利署水文組 (2016)。整合全臺 GPS 固定站資料應用於地層下陷之分析。 http://epaper.wra.gov.tw/Article_Detail.aspx?s=294906FE12CAC35C
萬勝徨 (2010)。雲林地區之極端降雨對地層下陷影響之研究。國立中興大學土木工程學系 碩士學位論文。
萬絢、張士勳、黃進源、王依蘋 (2017) 。綠環境模型系列研究:以倒傳遞和亂度基礎分 類法在嘉義黃金廊道之水稻田對影像判釋之研究為例。 水保技術,11(1),1-6。
葉昕祐、韋煙灶 (2008) 。雲林縣口湖地區土壤鹽化現象的研究。地理研究,48,1–24。 https://doi.org/10.6234/JGR.2008.48.01
農委會 (2001) 。農業生產與生態環境。農政與農情,103。 https://www.coa.gov.tw/ws.php?id=3861
農委會 (2016)。黃金廊道區域內產業結構之現況與願景。農政與農情,289。 https://www.coa.gov.tw/ws.php?id=2505149
劉紹安 (2018)。雲林縣濱海陸地區地層下陷之風險評估。國立臺灣海洋大學河海工程學系 碩士論文。
鄭立甫 (2010)。極端降雨型態引致彰化地區地下水位變化與地層下陷之影響。國立中興大 學土木工程學系碩士學位論文。
賴政佑 (2017)。颱洪災害脆弱度與調適能力之研究-以台中市為例。逢甲大學都市計畫與 空間資訊學系碩士論文。https://doi.org/10.6341/fcu.M0406990