請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/86534完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 游景雲(Jiing-Yun You) | |
| dc.contributor.author | Chih-Ching Chang | en |
| dc.contributor.author | 張芷晴 | zh_TW |
| dc.date.accessioned | 2023-03-20T00:01:38Z | - |
| dc.date.copyright | 2022-08-18 | |
| dc.date.issued | 2022 | |
| dc.date.submitted | 2022-08-12 | |
| dc.identifier.citation | 1. Gonzalez, A., Temimi, M., & Khanbilvardi, R. (2015). Adjustment to the curve number (NRCS-CN) to account for the vegetation effect on hydrological processes. Hydrological sciences journal,60(4), 591-605. 2. Mishra, S. K., & Singh, V. P. (1999). Another look at SCS-CN method. Journal of Hydrologic Engineering, 4(3), 257-264. 3. Okoński, B. (2007). Hydrological response to land use changes in central European lowland forest catchments. Journal of Environmental Engineering and Landscape Management, 15(1), 3-13. 4. Mishra, S. K., Singh, V. P., Sansalone, J. J., & Aravamuthan, V. (2003). A modified SCS-CN method: characterization and testing. Water Resources Management, 17(1), 37-68. 5. Hynicka J, Caraco D (2017) Relative and absolute reductions in annual water yield and non-point source pollutant loads of urban trees. Crediting framework product #2 for the project making urban trees count: a project to demonstrate the role of urban trees in achieving regulatory compliance for clean water. Center for Watershed Protection, Ellicott City, MD. 6. Ponce, V. M., & Hawkins, R. H. (1996). Runoff curve number: Has it reached maturity?. Journal of hydrologic engineering, 1(1), 11-19. 7. Abdelnour, A., Stieglitz, M., Pan, F., & McKane, R. (2011). Catchment hydrological responses to forest harvest amount and spatial pattern. Water Resources Research, 47(9) 8. Alvarenga, L. A., De Mello, C. R., Colombo, A., Cuartas, L. A., & Bowling, L. C. (2016). Assessment of land cover change on the hydrology of a Brazilian headwater watershed using the Distributed Hydrology-Soil-Vegetation Model. Catena, 143, 7-17. 9. Michel, C., Andréassian, V., & Perrin, C. (2005). Soil conservation service curve number method: How to mend a wrong soil moisture accounting procedure?. Water Resources Research, 41(2). 10. Teng, F., Huang, W., Cai, Y., Zheng, C., & Zou, S. (2017). Application of Hydrological Model PRMS to Simulate Daily Rainfall Runoff in Zamask-Yingluoxia Subbasin of the Heihe River Basin. Water, 9(10), 769. 11. Teng, F., Huang, W., & Ginis, I. (2018). Hydrological modeling of storm runoff and snowmelt in Taunton River Basin by applications of HEC-HMS and PRMS models. Natural Hazards, 91(1), 179-199. 12. Flügel, W. A. (1995). Delineating hydrological response units by geographical information system analyses for regional hydrological modelling using PRMS/MMS in the drainage basin of the River Bröl, Germany. Hydrological Processes, 9(3‐4), 423-436. 13. Kull, D. W., and Feldman, A. D. (1998). Evolution of Clark’s unit hydrograph method to spatially distributed runoff. J. Hydrol. Eng.,3(1), 9–19. 14. Markstrom, S. L., Regan, R. S., Hay, L. E., Viger, R. J., Webb, R. M., Payn, R. A., & LaFontaine, J. H. (2015). PRMS-IV, the precipitation-runoff modeling system, version 4. US Geological Survey Techniques and Methods, 6, B7. 15. Chang, H., & Jung, I. W. (2010). Spatial and temporal changes in runoff caused by climate change in a complex large river basin in Oregon. Journal of Hydrology, 388(3-4), 186-207. 16. Seidl, R., Fernandes, P. M., Fonseca, T. F., Gillet, F., Jönsson, A. M., Merganičová, K., ... & Mohren, F. (2011). Modelling natural disturbances in forest ecosystems: a review. Ecological Modelling, 222(4), 903-924. 17. Golden, H. E., Evenson, G. R., Tian, S., Amatya, D. M., & Sun, G. (2016). Hydrological modelling in forested systems. Forest Hydrology: Processes, Management and Assessment. CABI, Wallingford, 141-161. 18. Meili, N., Manoli, G., Burlando, P., Bou-Zeid, E., Chow, W. T., Coutts, A. M., ... & Fatichi, S. (2020). An urban ecohydrological model to quantify the effect of vegetation on urban climate and hydrology (UT&C v1. 0). Geoscientific Model Development, 13(1), 335-362. 19. Zhang, L., Nan, Z., Yu, W., Zhao, Y., & Xu, Y. (2018). Comparison of baseline period choices for separating climate and land use/land cover change impacts on watershed hydrology using distributed hydrological models. Science of the Total Environment, 622, 1016-1028. 20. Wigmosta, M. S., Vail, L. W., & Lettenmaier, D. P. (1994). A distributed hydrology‐vegetation model for complex terrain. Water resources research, 30(6), 1665-1679. 21. Mishra, S. K., & Singh, V. P. (2002). SCS-CN method. Part I: derivation of SCS-CN-based models. 22. Mishra, S. K., & Singh, V. P. (2003). SCS-CN method. Part II: analytical treatment. 23. Coville, R., Endreny, T., & Nowak, D. J. (2020). Modeling the impact of urban trees on hydrology. In Forest-Water Interactions (pp. 459-487). Springer, Cham. 24. Ponce, V. M., & Nuccitelli, N. R. (2013). Comparison of two types of Clark unit hydrographs. Virginia, USA: http://ponce. sdsu. edu/comparison_ of_two_clark_unit_hydrographs. html. (diakses 12 Agustus 2019). 25. Russell, S. O., Sunnell, G. J., & Kenning, B. F. (1979). Estimating design flows for urban drainage. Journal of the Hydraulics division, 105(1), 43-52. 26. Cuo, L., Lettenmaier, D. P., Mattheussen, B. V., Storck, P., & Wiley, M. (2008). Hydrologic prediction for urban watersheds with the Distributed Hydrology–Soil–Vegetation Model. Hydrological processes, 22(21), 4205-4213. 27. Bai, P., Liu, X., Zhang, Y., & Liu, C. (2018). Incorporating vegetation dynamics noticeably improved performance of hydrological model under vegetation greening. Science of the Total Environment, 643, 610-622. 28. Beckers, J., Smerdon, B., Redding, T., Anderson, A., Pike, R., & Werner, A. T. (2009). Hydrologic models for forest management applications: Part 1: Model selection. Watershed Management Bulletin, 13(1), 35-44. 29. Arora, V. (2002). Modeling vegetation as a dynamic component in soil‐vegetation‐atmosphere transfer schemes and hydrological models. Reviews of Geophysics, 40(2), 3-1. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/86534 | - |
| dc.description.abstract | 台灣森林覆蓋率約60%，許多主要河川與水庫上游集水區都是森林覆蓋，隨著環境保育觀念抬頭，森林的保水能力也備受重視，加上近年來台灣頻受颱風侵襲，山坡地和河川上游集水區發生土石流及水患的情形屢見不鮮，人們開始關心森林對水災、土石流的影響，植樹造林的成效又是如何。目前工程上逕流估算常用的是美國水土保持局的逕流曲線法，它是一個簡單且方便使用的方法，但應用在森林集水區時並不能有效地將植被的影響反應出來，而其他適合模擬森林集水區的水文模式又過於複雜，不利於工程實務應用。 本文的研究目的是提出改良版的逕流曲線法，希望能反映出植被對水文的影響又不至於過度複雜。因此本研究利用現有的水文模式「降水徑流建模系統(PRMS)」中的數個模塊並參考其運算方法，以逕流曲線法為主體架構做修改，重新定義參數中的各個細項，取代以逕流曲線值推估參數的方式。選擇南勢溪與桶後溪集水區做PRMS的參數校正與模式驗證，再將改良版的逕流曲線法與原版、模式結果分別做長期與短期的比較與討論。根據研究的結果，改良版的逕流曲線法提高了土壤的入滲能力及初始損失，能改善高估逕流量的情形，但因為公式先天的架構使得改善效果有限。除此之外，結果也推論出逕流曲線法中的超滲降雨並非只有地表逕流，其中還包含了部分的淺層地下水。 | zh_TW |
| dc.description.abstract | The forest coverage rate in Taiwan is about 60%. Many major rivers and upstream catchment of reservoirs are covered by forests. With the rise of the concept of environmental protection, the ability of forests to conserve water and soil resources has also received great attention. In addition, Taiwan has been frequently attacked by typhoons in recent years. It is not uncommon for landslides and floods to occur in mountain and upstream of rivers. People have begun to care about the impact of forests on floods and landslides, and the effectiveness of afforestation. At present, the commonly used method for runoff estimation in engineering is the Curve Number Method of the U.S. Soil Conservation Service. It is a simple and easy-to-use method, but it cannot effectively reflect the influence of vegetation when applied to forest catchment. However, other hydrological models suitable for simulating forest catchments are too complex and are not conducive to engineering applications. The purpose of this study is to propose an improved version of the Curve Number Method, hoping to reflect the impact of vegetation on hydrology without being overly complicated. Therefore, this study uses several modules in the existing hydrological model Precipitation Runoff Modeling System (PRMS) and refers to its calculation method and uses the Curve Number Method as the main structure to modify, redefine each item in the parameters, and replace the method of characterize the runoff properties for a soil and ground cover by the Curve Number. The Nanshi creek and Tonghou creek catchments were selected for parameter calibration and model verification of PRMS, and then the long-term and short-term results of the modified Curve Number Method were compared and discussed with the original and model results. According to the results of the study, the modified Curve Number Method improves the soil infiltration capacity and initial loss, and can improve the situation of overestimating runoff, but the effect is limited due to the innate structure of the formula. In addition, the results also deduce that the excess rainfall in the Curve Number Method is not only the surface runoff, but also includes part of the shallow groundwater. | en |
| dc.description.provenance | Made available in DSpace on 2023-03-20T00:01:38Z (GMT). No. of bitstreams: 1 U0001-1208202212165600.pdf: 2194913 bytes, checksum: 669aeacda6d7b2d1f6ff43a61b29caa3 (MD5) Previous issue date: 2022 | en |
| dc.description.tableofcontents | 中文摘要 i ABSTRACT ii CONTENT iv LIST OF FIGURES vi LIST OF TABLES x Chapter 1 Introduction 1 1.1 Background 1 1.2 Objective 2 Chapter 2 Literature Review 5 2.1 SCS-CN Method 5 2.2 Hydrological models 6 2.3 The effect of vegetation on the hydrology 8 Chapter 3 Methodology 10 3.1 Soil Conservation Service Curve Number (SCS-CN) 10 3.2 Modified SCS-CN 11 3.3 Precipitation-Runoff Modeling System (PRMS) 15 3.3.1 Hydrological Response Units (HRU) 18 3.3.2 Cascade Module 19 3.3.3 Interception Module 20 3.3.4 Potential Evapotranspiration Modules 21 3.3.5 Surface-Runoff Modules 22 3.3.6 Streamflow Modules 25 3.4 Modified SCS-CN 26 Chapter 4 Result and Discussion 30 4.1 Study area 30 4.2 Model Calibration 31 4.3 Model verification 35 4.4 Comparison of SCS, modified SCS and PRMS 48 4.4.1 Surface runoff (Q) 50 4.4.2 Infiltration (F) 56 4.4.3 Shallow groundwater 62 Chapter 5 Conclusions and Suggestions 66 5.1 Conclusions 66 5.2 Suggestions 67 Reference 69 LIST OF FIGURES Figure 1 1 Forest distribution in Taiwan in 2020 (Forestry Bureau, COA, Executive Yuan) 1 Figure 1 2 Framework of the research 4 Figure 3 1 Schematic of a soil moisture accounting store based on the SCS-CN method. (Michel et al, 2005) 13 Figure 3 2 Schematic diagram of the SMA procedure. (Michel et al, 2005) 15 Figure 3 3 Hydrological processes simulated by the PRMS (Markstrom et al, 2008). 16 Figure 3 4 Details of the PRMS Soil Zone (Markstrom et al, 2008). 17 Figure 3 5 Model Structure 18 Figure 3 6 Cascade diagram of HRU and stream segment. (Markstrom et al, 2008). 19 Figure 3 7 Cascading flow described from A, ground elevation, atmosphere, and vegetation condition; and B, a finite-difference grid. (Markstrom et al, 2008) 20 Figure 4 1 The catchment of this study 30 Figure 4 2 Comparison of measured and estimated flows at Guishan-Dam station from October 31, 2000 to October 31, 2001 34 Figure 4 3 Comparison of measured and estimated flows at Guishan-Dam station from September 1,2005 to August 31, 2006. 36 Figure4 4 Comparison of measured and estimated flows at Guishan-Dam station from September 1,2006 to August 31, 2007. 37 Figure 4 5 Comparison of measured and estimated flows at Guishan-Dam station from September 1,2007 to August 31, 2008. 38 Figure 4 6 Comparison of measured and estimated flows at Guishan-Dam station from September 1,2008 to August 30, 2009. 39 Figure 4 7 Comparison of measured and estimated flows at Guishan-Dam station from August 30,2009 to August31, 2010. 40 Figure 4 8 Comparison of measured and estimated flows at Guishan-Dam station from September 1,2010 to August 31, 2011. 41 Figure 4 9 Comparison of measured and estimated flows at Guishan-Dam station from September 1,2011 to August 31, 2012. 42 Figure 4 10 Comparison of measured and estimated flows at Guishan-Dam station from September 1,2012 to August 31, 2013. 43 Figure 4 11 Comparison of measured and estimated flows at Guishan-Dam station from September 1,2013 to October 31, 2014. 44 Figure 4 12 Stream flow and precipitation during typhoon Krosa. 45 Figure 4 13 Stream flow and precipitation during typhoon Sinlaku. 46 Figure 4 14 Stream flow and precipitation during typhoon Saola. 47 Figure 4 15 The proportion of the modified SCS of Ia. 49 Figure 4 16 The proportion of the modified SCS of S. 49 Figure 4 17 Comparison of modified, original and PRMS’s runoff from September 1,2005 to August 31, 2008. 51 Figure 4 18 Comparison of modified, original and PRMS’s runoff from September 1,2008 to September 2, 2011. 52 Figure 4 19 Comparison of modified, original and PRMS’s runoff from September 2,2011 to October 31, 2014. 53 Figure 4 20 Surface runoff and precipitation during typhoon Krosa 54 Figure 4 21 Surface runoff and precipitation during typhoon Sinlaku.. 55 Figure 4 22 Surface runoff and precipitation during typhoon Saola 55 Figure 4 23 Comparison of modified, original and PRMS’s infiltration from September 1,2005 to August 31, 2008 57 Figure 4 24 Comparison of modified, original and PRMS’s infiltration from August 1,2008 to September 2, 2011. 58 Figure 4 25 Comparison of modified, original and PRMS’s infiltration from September 2,2011 to October 31, 2014 59 Figure 4 26 Infiltration and precipitation during typhoon Krosa. 60 Figure 4 27 Infiltration and precipitation during typhoon Sinlaku. 61 Figure 4 28 Infiltration and precipitation during typhoon Saola. 61 Figure 4 29 Shallow groundwater, runoff and precipitation during typhoon Krosa. 63 Figure 4 30 Shallow groundwater, runoff and precipitation during typhoon Sinlaku. 64 Figure 4 31 Shallow groundwater, runoff and precipitation during typhoon Saola. 64 LIST OF TABLES Table 3 1 Items included in Ia of modified SCS. 27 Table 3 2 Items included in S of modified SCS. 27 Table 3 3 Other referenced PRMS parameters 28 Table 4 1 Basic information about the study area 31 Table 4 2. Major calibrated parameters of PRMS 32 Table 4 3 Total surface runoff of each typhoon. 56 | |
| dc.language.iso | en | |
| dc.subject | 逕流曲線法 | zh_TW |
| dc.subject | PRMS | zh_TW |
| dc.subject | 森林集水區 | zh_TW |
| dc.subject | 植被 | zh_TW |
| dc.subject | 降雨逕流 | zh_TW |
| dc.subject | 逕流曲線法 | zh_TW |
| dc.subject | PRMS | zh_TW |
| dc.subject | 森林集水區 | zh_TW |
| dc.subject | 植被 | zh_TW |
| dc.subject | 降雨逕流 | zh_TW |
| dc.subject | PRMS | en |
| dc.subject | Curve number method | en |
| dc.subject | Precipitation runoff | en |
| dc.subject | Vegetation | en |
| dc.subject | Forest catchment | en |
| dc.subject | PRMS | en |
| dc.subject | Curve number method | en |
| dc.subject | Precipitation runoff | en |
| dc.subject | Vegetation | en |
| dc.subject | Forest catchment | en |
| dc.title | 逕流曲線法於森林集水區之改善研究 | zh_TW |
| dc.title | Study on the Improvement of Applying Curve Number Method in Forested Catchment | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 110-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 陳憲宗(Shien-Tsung Chen),孫建平(Jian-Ping Suen),石棟鑫(Dong-Sin Shih),張駿暉(Jiun-Huei Jang) | |
| dc.subject.keyword | 逕流曲線法,降雨逕流,植被,森林集水區,PRMS, | zh_TW |
| dc.subject.keyword | Curve number method,Precipitation runoff,Vegetation,Forest catchment,PRMS, | en |
| dc.relation.page | 73 | |
| dc.identifier.doi | 10.6342/NTU202202337 | |
| dc.rights.note | 同意授權(全球公開) | |
| dc.date.accepted | 2022-08-15 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 土木工程學研究所 | zh_TW |
| dc.date.embargo-lift | 2022-08-18 | - |
| 顯示於系所單位： | 土木工程學系 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| U0001-1208202212165600.pdf | 2.14 MB | Adobe PDF | 檢視/開啟 |
系統中的文件，除了特別指名其著作權條款之外，均受到著作權保護，並且保留所有的權利。