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  1. NTU Scholars
  2. 生物資源暨農學院
  3. 生物環境系統工程學系
Please use this identifier to cite or link to this item: https://scholars.lib.ntu.edu.tw/handle/123456789/85826
DC FieldValueLanguage
dc.contributor范正成en
dc.contributor臺灣大學:生物環境系統工程學研究所zh_TW
dc.contributor.author楊智翔zh
dc.contributor.authorYang, Chih-Hsiangen
dc.creator楊智翔zh
dc.creatorYang, Chih-Hsiangen
dc.date2007en
dc.date.accessioned2007-11-27T02:25:09Z-
dc.date.accessioned2018-06-29T03:16:24Z-
dc.date.available2007-11-27T02:25:09Z-
dc.date.available2018-06-29T03:16:24Z-
dc.date.issued2007-
dc.identifierzh-TWen
dc.identifier.urihttp://ntur.lib.ntu.edu.tw//handle/246246/56055-
dc.description.abstract  CLIGEN氣候生成模式可利用連續日之氣象資料,合成產生出與降雨相關之參數,可用以輸入評估土壤沖蝕之模式,如WEPP模式、RUSLE公式等。由於整套模式在美國發展至成熟階段,對於其他地區之適用性尚屬未知,因此本研究針對台灣北部地區土壤沖蝕有效降雨事件,利用CLIGEN模式進行模擬,將其結果與1961年至1990年的歷史資料進行比對。驗證之參數分別為,年平均降雨量、月降雨分布、降雨強度、標準偏差、降雨事件機率及降雨沖蝕指數等。結果顯示在降雨量、降雨月分布及降雨事件機率上模擬結果良好,但在標準偏差、降雨強度及降雨沖蝕指數部分,有偏低之現象;由於CLIGEN模式建構於大陸性氣候的氣象資料庫之上,其模擬結果以低中強度降雨居多,而台灣地區屬海島型季風氣候,常受隨颱風而來之高強度暴雨影響,因此造成此一誤差現象之發生。zh_TW
dc.description.abstractUsing the climate generator model of CLIGEN, continuous daily climate data can be used to generate the parameters related to rainfall. These parameters can be used in the equations for evaluating soil erosion, such as the WEPP and the RUSLE models. The CLIGEN model has been developed to a mature stage in the continent of the United States; however, the adaptability of the model in the other areas is still unknown. Therefore, in this study, the effective rainfall events for soil erosion in northern Taiwan were simulated and compared with the historic data from 1961 to 1990. Parameters verified in this study were annual mean rainfall amount, monthly rainfall distribution, rainfall intensity, standard deviation, probability of rainfall event and rainfall erosivity. The results showed that the simulations of rainfall amount, monthly rainfall distribution and the probability of rainfall were good; however, standard deviation, rainfall intensity and rainfall erosivity were underestimated. The reasons for this may be because the CLIGEN model was established by using the continental climate data, which mainly consisted of the rainfalls with medium and low intensity. However, the Taiwan island is in a monsoon area, accordingly, the rainfall intensities are frequently very high because of typhoons.en
dc.description.tableofcontents謝誌.................................................I 中文摘要............................................II Abstract...........................................III 圖目錄..............................................VI 表目錄.............................................VII 第一章 緒論 ........................................1 1.1 研究背景.........................................1 1.2 研究目的.........................................1 第二章 文獻回顧 ....................................3 2.1 通用土壤流失公式.................................3 2.2 降雨沖蝕指數.....................................3 2.3 氣候變遷對降雨沖蝕指數之影響.....................5 2.4 CLIGEN模式適用性驗證.............................6 2.5 以CLIGEN輸出項估算降雨沖蝕指數...................7 第三章 研究方法.....................................9 3.1 研究內容.........................................9 3.2 研究區域分析....................................10 3.2.1 基隆地區......................................12 3.2.2 宜蘭地區......................................12 3.2.3 台北地區......................................12 3.2.4 新竹地區......................................13 3.3 雨量資料數化....................................13 3.3.1 Matlab程式....................................13 3.3.2 VBA程式.......................................14 3.3.2 數化方法及流程................................15 3.4 CLIGEN模式......................................19 3.5 降雨沖蝕指數之推................................21 第四章 結果與討論..................................23 4.1雨量資料數化.....................................23 4.2 有效降雨事件分..................................25 4.3 降雨量及降雨事件特性之模擬驗....................30 4.4降雨沖蝕指數之模擬驗.............................41 第五章 結論與建議..................................45 5.1 結論............................................46 5.2 後續建議........................................47 參考文獻............................................48 附錄................................................51zh_TW
dc.format.extent977320 bytes-
dc.format.mimetypeapplication/pdf-
dc.languagezh-TWen
dc.language.isoen_US-
dc.subject氣候生成模式en
dc.subjectCLIGENen
dc.subject有效降雨事件en
dc.subject土壤沖蝕en
dc.subject降雨沖蝕指數en
dc.subjectClimate generator modelen
dc.subjectCLIGENen
dc.subjectEffective rainfall eventen
dc.subjectSoil erosionen
dc.subjectRainfall erosivity indexen
dc.subject.other[SDGs]SDG13-
dc.title應用CLIGEN氣候生成模式模擬台灣北部地區 有效降雨事件及其驗證zh_TW
dc.titleUsing Climate Generator Model of CLIGEN to Simulate the Effective Rainfall Events in Northern Taiwan and their Verificationen
dc.typethesisen
dc.identifier.uri.fulltexthttp://ntur.lib.ntu.edu.tw/bitstream/246246/56055/1/ntu-96-R94622038-1.pdf-
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Baffaut, C., M. A. Nearing, and A. D. Nick. 1996. Impact of CLIGEN parameters on WEPP-predicted average annual soil loss. Trans. ASAE 39(2): 447-457. 24. Brown, L. C. and G. R. Foster. 1987. Storm erosivity using idealized intensity distribution. Transaction of the ASAE 30(2): 379-386. 25. Cooley, K. R. 1980. Erosivity values for individual storm design. Jour. Irr, and Drainage Div. Amer. Soc. of Civil Engr. 106(IR2): 135-145. 26. Favis-Mortlock, D. T., and J. Boardman. 1995. Nonlinear responses of soil erosion to climate change: A modeling study on the UK South Downs. Catena 25: 365-387. 27. Flanagan, D. C., and S. J. Livingston. 1995. WEPP User Summary: USDA–Water Erosion Prediction Project (WEPP). NSERL Report No. 11. W. Lafayette, Ind.: USDA–ARS National Soil Erosion Research Laboratory. 28. Hsu, H. H. and C. T. Chen. 2002. Observed and projected climate change in Taiwan. Meteorology and Atmospheric Physics, 79: 87-104. 29. IPCC, 1996: Climate Change 1995: The Science of Climate Change. J. T. Houghton, L. A. Meria Filho, B. A. Callander, N. Harris, A. Kattenberg and K. Maskell(eds.), Cambridge, 572pp. 30. IPCC, WGI, 2001. Climate Change 2001-The Scientific Basis: Contribution of Working Group I, to the third Assessment Report of the Intergovernmental Panel on Climate Change, Edited by J.T. Houghton, Y. Ding, D.J. Griggs, M. Noguer, P.J. van der Linden, X. Dai, K. Maskell, C. A. Johnson. 2001, Cambridge University Press, Cambridge, 2001, 881pp. 31. Liu, C. M., M. C. Wu and W. C. Wang. 1996. Potential climate change in Taiwna during greenhouse warming: A semi-empirical approach. J. of the Envir. Prot. Soc. R.O.C., Vol.19, No1, 1-23. 32. Nearing, A. M. 2001. Potential changes in rainfall erosivity in the U. S. with climate change during the 21st century. J. Soil and Water Conserv. 56(3): 229-232. 33. Nearing, M. A. 2001. Impacts of Climate Change on Erosivity in the United States: 2000-2050. Pp. 268-270 in Soil Erosion Research for the 21st Century, Proc. Int. Symp. (3-5 January 2001, Honolulu, HI, USA). Eds. J.C. Ascough II and D.C. Flanagan. St. Joseph, MI: ASAE.701P0007 34. Pruski, F. F., and M. A. Nearing. 2002. Runoff and soil loss responses to changes in precipitation: A computer simulation study. J. Soil and Water Conserv. 57(1): 7-16. 35. Renard, K. G., and J. R. Freidmund. 1994. Using monthly precipitation data to estimate the R-factor in the revised USLE. J. Hydrology 157: 287-306. 36. Renard, K. G., G. R. Foster, G. A. Weesies, and J. P. Porter. 1991. RUSLE: Revised universal soil loss equation. J. Soil Water Conserv. 46(1): 30–33. 37. Scheele, W. J. Elloit, and D. E. Halll. 2001. Enhancements to the CLIGEN Weather Generator for Mountainous or Custom Applications. Soil Erosion Research for the 21st Century, Proc. Int. Symp. (3-5 January 2001, Honolulu, HI, USA). Eds. J. C. Ascough II and D. C. Flanagan, St, Joseph, MI: ASAE. 701p007. Pp. 392-395. 38. Williams, J., M. A. Nearing, A. Nicks, E. Skidmore, C. Valentine, K. King, and R. Savabi. 1996. Using soil erosion models for global change studies. J. Soil and Water Conserv. 51(5): 381-385. 39. Wischmeier, W. H. and D. D. Smith. 1978. Predicting Rainfall Erosion Losses-A Guide to Conservation Planning. USDA AGR. Handbook 537. USDA Science and Education Administration. 58pp. 40. Yu, P. S., T. C. Yang, and C. K. Wu. 2002. Impact of climate change on water resources in southern Taiwan. Journal of Hydrology. 161-175. 41. Yu, B. 2002. Using CLIGEN to generate RUSLE climate inputs. Transactions of the ASAE, Vol. 45(4): 993 1001. 42. Zhang, G. H., M. A. Nearing, and B. Y. Liu. 2005. Potential effects of climate change on rainfall erosivity in the Yellow River Basin of China. Trans. ASAE 48(2): 511-517.zh_TW
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