|
英文文獻
1.Acharya, G., ＆ Bennett, L. L. (2001). Valuing open space and land-use patterns in urban watersheds. The Journal of Real Estate Finance and Economics, 22(2-3), 221-237.
2.Ahiablame, L. M., Engel, B. A., ＆ Chaubey, I. (2012). Effectiveness of low impact development practices: literature review and suggestions for future research. Water, Air, ＆ Soil Pollution, 223(7), 4253-4273.
3.Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93-115.
4.Anselin, L., ＆ Bera, A. K. (1998). Spatial dependence in linear regression models with an introduction to spatial econometrics. Statistics Textbooks and Monographs, 155, 237-290.
5.Arnold Jr, C. L., ＆ Gibbons, C. J. (1996). Impervious surface coverage: the emergence of a key environmental indicator. Journal of the American planning Association, 62(2), 243-258.
6.Asner, G. P., ＆ Warner, A. S. (2003). Canopy shadow in IKONOS satellite observations of tropical forests and savannas. Remote Sensing of Environment, 87(4), 521-533.
7.Bari, M., Smettem, K., ＆ Sivapalan, M. (2005). Understanding changes in annual runoff following land use changes: a systematic data‐based approach. Hydrological Processes, 19(13), 2463-2479.
8.Barnes, K. B., Morgan, J., ＆ Roberge, M. (2001). Impervious surfaces and the quality of natural and built environments. Baltimore: Department of Geography and Environmental Planning, Towson University.
9.Bhaduri, B. L. (1998). A geographic information system-based model of the long-term impact of land use change on nonpoint-source pollution at a watershed scale, PhD Thesis, Purdue University.
10.Biehl, L., ＆ Landgrebe, D. (2002). MultiSpec—a tool for multispectral–hyperspectral image data analysis. Computers ＆ Geosciences, 28(10), 1153-1159.
11.Bierwagen, B. G., Theobald, D. M., Pyke, C. R., Choate, A., Groth, P., Thomas, J. V., ＆ Morefield, P. (2010). National housing and impervious surface scenarios for integrated climate impact assessments. Proceedings of the National Academy of Sciences, 107(49), 20887-20892.
12.Brabec, E., Schulte, S., ＆ Richards, P. L. (2002). Impervious surfaces and water quality: a review of current literature and its implications for watershed planning. Journal of planning literature, 16(4), 499-514.
13.Brabec, E. A. (2009). Imperviousness and land-use policy: Toward an effective approach to watershed planning. Journal of Hydrologic Engineering, 14(4), 425-433.
14.Bruijnzeel, L. (2002). Tropical forests and environmental services: not seeing the soil for the trees. Agriculture, Ecology and Environment.
15.Brun, S., ＆ Band, L. (2000). Simulating runoff behavior in an urbanizing watershed. Computers, Environment and Urban Systems, 24(1), 5-22.
16.Brunsdon, C., Fotheringham, S., ＆ Charlton, M. (1998). Geographically weighted regression. Journal of the Royal Statistical Society: Series D (The Statistician), 47(3), 431-443.
17.Burke, I. C., Lauenroth, W. K., Riggle, R., Brannen, P., Madigan, B., ＆ Beard, S. (1999). Spatial variability of soil properties in the shortgrass steppe: the relative importance of topography, grazing, microsite, and plant species in controlling spatial patterns. Ecosystems, 2(5), 422-438.
18.Buyantuyev, A., ＆ Wu, J. (2010). Urban heat islands and landscape heterogeneity: linking spatiotemporal variations in surface temperatures to land-cover and socioeconomic patterns. Landscape Ecology, 25(1), 17-33.
19.Casetti, E., ＆ Jones III, J. P. (2003). Applications of the expansion method: Routledge.
20.Cliff, A., ＆ Ord, J. K. (1973). Spatial autocorrelation. Retrieved from
21.Comber, A., Fisher, P., Brunsdon, C., ＆ Khmag, A. (2012). Spatial analysis of remote sensing image classification accuracy. Remote Sensing of Environment, 127, 237-246.
22.Congalton, R., ＆ Mead, R. A. (1983). A quantitative method to test for consistency and correctness in photointerpretation. Photogrammetric Engineering ＆ Remote Sensing, 49(1), 69-74.
23.Conzen, M. R. G. (1960). Alnwick, Northumberland: a study in town-plan analysis. Transactions and Papers (Institute of British Geographers)(27), iii-122.
24.County, P. G. s. (1999). Low-impact development design strategies: an integrated design approach. Department of Environmental Resources, Programs and Planning Division, Prince George’s County, Maryland.
25.Crawford, N. H., ＆ Linsley, R. K. (1966). Digital Simulation in Hydrology'Stanford Watershed Model 4.
26.Cressie, N. (2015). Statistics for spatial data: John Wiley ＆ Sons.
27.Daniels, T. (2001). Smart growth: A new American approach to regional planning. Planning practice and research, 16(3-4), 271-279.
28.Davis, A. P., ＆ McCuen, R. H. (2005). Stormwater management for smart growth: Springer Science ＆ Business Media.
29.de Freitas, M. W. D., dos Santos, J. R., ＆ Alves, D. S. (2013). Land-use and land-cover change processes in the Upper Uruguay Basin: linking environmental and socioeconomic variables. Landscape Ecology, 28(2), 311-327.
30.DeFries, R., ＆ Eshleman, K. N. (2004). Land‐use change and hydrologic processes: A major focus for the future. Hydrological Processes, 18(11), 2183-2186.
31.Deng, C., ＆ Wu, C. (2013). A spatially adaptive spectral mixture analysis for mapping subpixel urban impervious surface distribution. Remote Sensing of Environment, 133, 62-70.
32.Dietz, M. E. (2007). Low impact development practices: A review of current research and recommendations for future directions. Water, air, and soil pollution, 186(1-4), 351-363.
33.Doll, B. A., Wise‐Frederick, D. E., Buckner, C. M., Wilkerson, S. D., Harman, W. A., Smith, R. E., ＆ Spooner, J. (2002). Hydraulic geometry relationships for urban streams throughout the piedmont of north carolina1: Wiley Online Library.
34.Dodman, D., Bicknell, J., ＆ Satterthwaite, D. (2012). Adapting Cities to Climate Change: Understanding and addressing the development challenges: Routledge.
35.Ebrahimian, A., Gulliver, J. S., ＆ Wilson, B. N. (2016). Effective Impervious Area for Runoff in Urban Watersheds. Hydrological Processes.
36.Elliott, A., ＆ Trowsdale, S. (2007). A review of models for low impact urban stormwater drainage. Environmental modelling ＆ software, 22(3), 394-405.
37.Elvidge, C. D., Tuttle, B. T., Sutton, P. C., Baugh, K. E., Howard, A. T., Milesi, C., . . . Nemani, R. (2007). Global distribution and density of constructed impervious surfaces. Sensors, 7(9), 1962-1979.
38.Ettema, C. H., ＆ Wardle, D. A. (2002). Spatial soil ecology. Trends in ecology ＆ evolution, 17(4), 177-183.
39.Evett, J. B., Love, M. A., ＆ Gordon, J. M. (1994). Effects of Urbanization and Land-Use Changes on Low Stream Flow.
40.Finkenbine, J. K., Atwater, J. W., ＆ Mavinic, D. S. (2000). Stream health after urbanization1. JAWRA Journal of the American Water Resources Association, 36(5), 1149-1160.
41.FISRWG. (1998). Stream Corridor Restoration: Principles, Processes, and Practices. Published USA government, October.
42.Fletcher, T. D., Shuster, W., Hunt, W. F., Ashley, R., Butler, D., Arthur, S., . . . Viklander, M. (2015). SUDS, LID, BMPs, WSUD and more – The evolution and application of terminology surrounding urban drainage. Urban Water Journal, 12(7), 525-542.
43.Fongers, D., ＆ Fulcher, J. (2001). Hydrologic Impacts Due to Development: The Need for Adequate Runoff Detention and Stream Protection: Citeseer.
44.Foody, G. (2003). Geographical weighting as a further refinement to regression modelling: an example focused on the NDVI–rainfall relationship. Remote Sensing of Environment, 88(3), 283-293.
45.Foody, G. M. (2002). Status of land cover classification accuracy assessment. Remote Sensing of Environment, 80(1), 185-201.
46.Fotheringham, A. S., Brunsdon, C., ＆ Charlton, M. (2003). Geographically weighted regression: the analysis of spatially varying relationships: John Wiley ＆ Sons.
47.Gaines, J. M. (2016). Flooding: Water potential. Nature, 531(7594), S54-S55. doi:10.1038/531S54a
48.Gao, C., Liu, J., Zhu, J., ＆ Wang, Z. (2013). Review of current research on urban low-impact development practices. Res J Chem Environ, 17(S1), 209-214.
49.Gao, J., ＆ Li, S. (2011). Detecting spatially non-stationary and scale-dependent relationships between urban landscape fragmentation and related factors using Geographically Weighted Regression. Applied geography, 31, 292-302.
50.Getis, A., ＆ Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189-206.
51.Goetz, S. J., Wright, R. K., Smith, A. J., Zinecker, E., ＆ Schaub, E. (2003). IKONOS imagery for resource management: Tree cover, impervious surfaces, and riparian buffer analyses in the mid-Atlantic region. Remote Sensing of Environment, 88(1), 195-208.
52.Gorr, W. L., ＆ Olligschlaeger, A. M. (1994). Weighted spatial adaptive filtering: Monte Carlo studies and application to illicit drug market modeling. Geographical Analysis, 26(1), 67-87.
53.Granato, G. E. (2010). Methods for development of planning-level estimates of stormflow at unmonitored stream sites in the conterminous United States. Methods.
54.Grimm, N. B., Faeth, S. H., Golubiewski, N. E., Redman, C. L., Wu, J., Bai, X., ＆ Briggs, J. M. (2008). Global change and the ecology of cities. science, 319(5864), 756-760.
55.Group, N. S. W. (2004). Interim Code of Practice for Sustainable Drainage Systems.
56.Guo, J. C. (2008). Volume-based imperviousness for storm water designs. Journal of irrigation and drainage engineering, 134(2), 193-196.
57.Guo, J. C. (2014). Green Concept in Storm Water Management. Irrigation ＆ Drainage Systems Engineering, 2013.
58.Guo, J. C., Blackler, G. E., Earles, T. A., ＆ MacKenzie, K. (2010). Incentive index developed to evaluate storm-water low-impact designs. Journal of Environmental Engineering, 136(12), 1341-1346.
59.Haase, D. (2009). Effects of urbanisation on the water balance–A long-term trajectory. Environmental impact assessment review, 29(4), 211-219.
60.Hale, R. L., Turnbull, L., Earl, S. R., Childers, D. L., ＆ Grimm, N. B. (2015). Stormwater infrastructure controls runoff and dissolved material export from arid urban watersheds. Ecosystems, 18(1), 62-75.
61.Homer, C., Dewitz, J., Fry, J., Coan, M., Hossain, N., Larson, C., . . . Wickham, J. (2007). Completion of the 2001 national land cover database for the counterminous United States. Photogrammetric engineering and remote sensing, 73(4), 337.
62.Hopkins, L. D. (1977). Land-use plan design—quadratic assignment and central-facility models. Environment and Planning A, 9(6), 625-642.
63.Huang, H. j., Cheng, S. j., Wen, J. c., ＆ Lee, J. h. (2008). Effect of growing watershed imperviousness on hydrograph parameters and peak discharge. Hydrological Processes, 22(13), 2075-2085.
64.Kabat, P., Van Vierssen, W., Veraart, J., Vellinga, P., ＆ Aerts, J. (2005). Climate proofing the Netherlands. Nature, 438(7066), 283-284.
65.Kuichling, E. (1889). The relation between the rainfall and the discharge of sewers in populous districts. Transactions of the American Society of Civil Engineers, 20(1), 1-56.
66.Landis, J. R., ＆ Koch, G. G. (1977). The measurement of observer agreement for categorical data. biometrics, 159-174.
67.Leandro, J., Schumann, A., ＆ Pfister, A. (2016). A step towards considering the spatial heterogeneity of urban key features in urban hydrology flood modelling. Journal of Hydrology, 535, 356-365.
68.Leavesley, G. H. (1994). Modeling the effects of climate change on water resources-a review. Climatic Change, 28(1-2), 159-177.
69.Lee, S., ＆ Lathrop, R. (2005). Sub-pixel estimation of urban land cover components with linear mixture model analysis and Landsat Thematic Mapper imagery. International Journal of Remote Sensing, 26(22), 4885-4905.
70.Legendre, P. (1993). Spatial autocorrelation: trouble or new paradigm? Ecology, 74(6), 1659-1673.
71.Leopold, L. B. (1968). Hydrology for urban land planning: A guidebook on the hydrologic effects of urban land use: US Government Printing Office Washington, DC, USA.
72.Liu, Y., Gebremeskel, S., De Smedt, F., Hoffmann, L., ＆ Pfister, L. (2006). Predicting storm runoff from different land‐use classes using a geographical information system‐based distributed model. Hydrological Processes, 20(3), 533-548.
73.Liu, J., Zhang, Z., Xu, X., Kuang, W., Zhou, W., Zhang, S., . . . Wu, S. (2010). Spatial patterns and driving forces of land use change in China during the early 21st century. Journal of Geographical Sciences, 20(4), 483-494.
74.Lloyd, S. D., Wong, T. H., ＆ Chesterfield, C. J. (2002). Water sensitive urban design: a stormwater management perspective.
75.Lu, D., ＆ Weng, Q. (2009). Extraction of urban impervious surfaces from an IKONOS image. International Journal of Remote Sensing, 30(5), 1297-1311.
76.MacRae, C. (1997). Experience from morphological research on Canadian streams: Is control of the two-year frequency runoff event the best basis for stream channel protection? Paper presented at the Effects of watershed development and management on aquatic ecosystems.
77.Mather, P. M., ＆ Koch, M. (2011). Computer processing of remotely-sensed images: an introduction: John Wiley ＆ Sons.
78.Meierdiercks, K. L., Smith, J. A., Baeck, M. L., ＆ Miller, A. J. (2010). Heterogeneity of hydrologic response in urban watersheds1: Wiley Online Library.
79.Mell, I. (2015). 6 Green infrastructure planning: policy and objectives. Handbook on Green Infrastructure: Planning, Design and Implementation, 105.
80.Mellino, S., ＆ Ulgiati, S. (2015). Mapping the evolution of impervious surfaces to investigate landscape metabolism: An Emergy–GIS monitoring application. Ecological Informatics, 26, 50-59.
81.Mondal, B., Das, D. N., ＆ Dolui, G. (2015). Modeling spatial variation of explanatory factors of urban expansion of Kolkata: a geographically weighted regression approach. Modeling Earth Systems and Environment, 1(4), 1-13.
82.Moran, E. F. (2010). Land cover classification in a complex urban-rural landscape with QuickBird imagery. Photogrammetric engineering and remote sensing, 76(10), 1159.
83.Mu, X., Wang, W., ＆ Xu, X. (1999). The influence of the soil and water conservation on the surface runoff in the watersheds in the gully plateau region of Loess Plateau. Journal of Hydraulic Engineering, 2, 71-75.
84.Neller, R. (1988). A comparison of channel erosion in small urban and rural catchments, Armidale, New South Wales. Earth Surface Processes and Landforms, 13(1), 1-7.
85.Nelson, A. C., ＆ Duncan, J. B. (1995). Growth management principles and practices: American Planning Association.
86.Onstad, C., ＆ Jamieson, D. (1970). Modeling the effect of land use modifications on runoff. Water Resources Research, 6(5), 1287-1295.
87.Openshaw, S. (1984). Ecological fallacies and the analysis of areal census data. Environment and Planning A, 16(1), 17-31.
88.Overmars, K. P., ＆ Verburg, P. H. (2006). Multilevel modelling of land use from field to village level in the Philippines. Agricultural Systems, 89(2), 435-456.
89.Payne, S., ＆ Barker, A. (2015). 20 Implementing green infrastructure through residential development in the UK. Handbook on Green Infrastructure: Planning, Design and Implementation, 375.
90.Poleto, C., ＆ Tassi, R. (2012). Sustainable urban drainage systems: INTECH Open Access Publisher.
91.Poor, P. J., Pessagno, K. L., ＆ Paul, R. W. (2007). Exploring the hedonic value of ambient water quality: A local watershed-based study. Ecological Economics, 60(4), 797-806.
92.Qin, H.-p., Li, Z.-x., ＆ Fu, G. (2013). The effects of low impact development on urban flooding under different rainfall characteristics. Journal of environmental management, 129, 577-585.
93.Randolph, J. (2004). Environmental land use planning and management: Island Press.
94.Ridd, M. K. (1995). Exploring a VIS (vegetation-impervious surface-soil) model for urban ecosystem analysis through remote sensing: comparative anatomy for cities. International Journal of Remote Sensing, 16(12), 2165-2185.
95.Rossman, L. A. (2010). Storm water management model user's manual, version 5.0: National Risk Management Research Laboratory, Office of Research and Development, US Environmental Protection Agency Cincinnati.
96.Sánchez-Rodríguez, R. (2005). Science plan: urbanization and global environmental change: International Human Dimensions Programme on Global Environmental Change.
97.Sander, H., Polasky, S., ＆ Haight, R. G. (2010). The value of urban tree cover: A hedonic property price model in Ramsey and Dakota Counties, Minnesota, USA. Ecological Economics, 69(8), 1646-1656.
98.Sauer, Vernon B., et al. Flood characteristics of urban watersheds in the United States. No. 2207. USGPO,, 1983.
99.Savini, J., ＆ Kammerer, J. C. (1961). Urban growth and the water regimen. Retrieved from
100.Schueler, T. R. (1987). Controlling urban runoff: A practical manual for planning and designing urban BMPs: Water Resources Publications.
101.Schueler, T. R. (1994). The importance of imperviousness. Watershed protection techniques, 1(3), 100-111.
102.Schueler, T. R., Fraley-McNeal, L., ＆ Cappiella, K. (2009). Is impervious cover still important? Review of recent research. Journal of Hydrologic Engineering, 14(4), 309-315.
103.Shuster, W., Bonta, J., Thurston, H., Warnemuende, E., ＆ Smith, D. (2005). Impacts of impervious surface on watershed hydrology: a review. Urban Water Journal, 2(4), 263-275.
104.Simmons, D. L., ＆ Reynolds, R. J. (1982). Effects of urbanization on base flow of selected south‐shore streams, long island, new york1. Journal of the American Water Resources Association, 18(5), 797-805.
105.Southard, R. E. (1986). An alternative basin characteristic for use in estimating impervious area in urban Missouri basins.
106.Stone, B. (2004). Paving over paradise: how land use regulations promote residential imperviousness. Landscape and Urban Planning, 69(1), 101-113.
107.Sugumaran, R., Zerr, D., ＆ Prato, T. (2002). Improved urban land cover mapping using multi-temporal IKONOS images for local government planning. Canadian Journal of Remote Sensing, 28(1), 90-95.
108.Tang, Z., Engel, B., Pijanowski, B., ＆ Lim, K. (2005). Forecasting land use change and its environmental impact at a watershed scale. Journal of environmental management, 76(1), 35-45.
109.Tu, J., ＆ Xia, Z.-G. (2008). Examining spatially varying relationships between land use and water quality using geographically weighted regression I: model design and evaluation. Science of the total environment, 407(1), 358-378.
110.Urbonas, B., ＆ Stahre, P. (1993). Stormwater: best management practices and detention for water quality, drainage, and CSO management.
111.Valtanen, M., Sillanpää, N., ＆ Setälä, H. (2014). Effects of land use intensity on stormwater runoff and its temporal occurrence in cold climates. Hydrological Processes, 28(4), 2639-2650.
112.Van der Weert, R. (1994). Hydrological conditions in Indonesia. Delft Hydraulics, Jakarta, Indonesia, 72.
113.Van der Linden, S., ＆ Hostert, P. (2009). The influence of urban structures on impervious surface maps from airborne hyperspectral data. Remote Sensing of Environment, 113(11), 2298-2305.
114.Vivian, G. (1997). Microtopographic heterogeneity and floristic diversity in experimental wetland communities. Journal of Ecology, 71-82.
115.Vojinovic, Z., Seyoum, S., Mwalwaka, J., ＆ Price, R. (2011). Effects of model schematisation, geometry and parameter values on urban flood modelling. Water Science ＆ Technology, 63(3).
116.Wang, J., Qingming, Z., Guo, H., ＆ Jin, Z. (2016). Characterizing the spatial dynamics of land surface temperature–impervious surface fraction relationship. International Journal of Applied Earth Observations and Geoinformation, 45(Part A), 55-65.
117.Wang, L., Lyons, J., Kanehl, P., ＆ Bannerman, R. (2001). Impacts of urbanization on stream habitat and fish across multiple spatial scales. Environmental Management, 28(2), 255-266.
118.Wang, L., Sousa, W. P., Gong, P., ＆ Biging, G. S. (2004). Comparison of IKONOS and QuickBird images for mapping mangrove species on the Caribbean coast of Panama. Remote Sensing of Environment, 91(3), 432-440.
119.Williamson, K. S. (2003). Growing with green infrastructure: Heritage Conservancy Doylestown,, PA.
120.Wong, T., ＆ Brown, R. (2009). The water sensitive city: principles for practice. Water Science and Technology, 60(3), 673.
121.Wu, F., ＆ Webster, C. J. (1998). Simulation of natural land use zoning under free-market and incremental development control regimes. Computers, Environment and Urban Systems, 22(3), 241-256.
122.XIAO, R.-b., OUYANG, Z.-y., ZHENG, H., LI, W.-f., Schienke, E. W., ＆ WANG, X.-k. (2007). Spatial pattern of impervious surfaces and their impacts on land surface temperature in Beijing, China. Journal of Environmental Sciences, 19(2), 250-256.
123.Xian, G., ＆ Homer, C. (2010). Updating the 2001 National Land Cover Database impervious surface products to 2006 using Landsat imagery change detection methods. Remote Sensing of Environment, 114(8), 1676-1686.
124.Zhang, L., ＆ Weng, Q. (2016). Annual dynamics of impervious surface in the Pearl River Delta, China, from 1988 to 2013, using time series Landsat imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 113, 86-96.
125.Zhang, L.-n., ＆ LI, X.-b. (2004). Assessing hydrological effects of human activities by hydrological characteristic parameters: A case study in the Yunzhou Reservoir basin. Resources Science, 2, 009.
126.Zhao, C., Fu, G., Liu, X., ＆ Fu, F. (2011). Urban planning indicators, morphology and climate indicators: A case study for a north-south transect of Beijing, China. Building and Environment, 46(5), 1174-1183.
127.Zhou, Q. (2014). A review of sustainable urban drainage systems considering the climate change and urbanization impacts. Water, 6(4), 976-992.
中文文獻
1.內政部營建署. (2010). 雨水下水道系統規劃原則檢討.
2.呂罡銘, 林憲德, 孫振義, 劉正千, ＆ 陳瑞鈴. (2011). 都市人造表面覆蓋率之解析、預測與控制. 都市與計劃, 38(2), 171-195.
3.沈昌懋, ＆ 謝英雄. (2006). 空間自相關在人口分布資料之應用研究. Journal of Data Analysis, 1(6), 123-137.
4.周筱儒. (2012). 利用3S技術推估都市不透水率及逕流係數-以新北市公園為例. (碩士論文).
5.林子平, 何友鋒, ＆ 楊鴻銘. (2005). 都市地表不透水率之預估與分析：以台中市為例. 都市與計劃, 32(3), 333-354.
6.林憲德, 呂罡銘, 孫振義, 劉正千, ＆ 何明錦. (2008). 應用衛星遙測與影像分類技術估算台南市地表不透水率. 都市與計劃, 35(2), 123-139.
7.邱祈榮, 梁玉琦, 賴彥任, ＆ 黃名媛. (2004). 臺灣地區氣候分區與應用之研究. 臺灣地理資訊學刊(1), 41-62.
8.張學聖, ＆ 廖晉賢. (2013). 臺南市土地使用計畫之水災風險分析. 都市與計劃, 40(1), 59-79.
9.張學聖, ＆ 廖晉賢. (2014). 複合性災害評估架構研究: 莫拉克風災為例. 都市與計劃, 41(3), 305-327.
10.張學聖, ＆ 廖晉賢. (2015). 與水共生的空間規劃途徑-以曾文溪流域為例. 建築與規劃學報(2＆3), 183.
11.張梅英, ＆ 施昱年. (2004). 台灣大量估價問題分析及其改進方法之研究. 土地問題研究季刊, 3(3), 89-105.
12.郭子文, ＆ 棗厥庸. (2007). 以決策樹之迴歸樹建構住宅價格模型--臺灣地區之實證分析. 住宅學報, 16(1), 1-20.
13.游保杉. (2004). 水文循環與洪水. 科學發展, 374, 6-13.
14.黃書禮. (1984). 整合土地使用規劃與都市雨水管理方法之探討. 都市與計劃, 11, 105-133.
15.賴進貴, 葉高華, ＆ 王韋力. (2004). 土地利用變遷與空間相依性之探討-以臺北盆地聚落變遷為例. 臺灣地理資訊學刊, 1:, 29-40.
16.經濟部水利署. (2013). 曾文溪流域因應氣候變遷防洪及土砂研究計劃.
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