Variety of green building rating systems have been created and developed all over the world to emphasize the importance of green building and handle the natural environmental impact of common buildings. LEED (Leadership in Energy and Environmental Design) is one of the most common green building rating systems used globally. However, it is difficult to apply LEED standard because of its complex requirements. Water conservation is one of categories that contain credits with multiple choice of possible designs. One of its most complex credit is Stormwater Quantity Control.There are many possible combinations of possible designs that even some of them are uncommon in the real applications. Thus, this research has studied and analyzed of many cases examined by Taiwan Green Building Center (GBC) through comprehending index, Stormwater Quantity Control, to be applied into LEED standard. By following design knowledge which are applied into the cases as visible designs and already considered as green building projects, Case-Based Reasoning (CBR) concept is utilized as an efficient method to provide several reliable designs for new cases. CBR concept quickly searches the similar design projects and manages revision of old similar design solution to fit in new cases. Test cases analysis results have shown the effectiveness of this concept by providing decision makers many fit design solutions.

Variety of green building rating systems have been created and developed all over the world to emphasize the importance of green building and handle the natural environmental impact of common buildings. LEED (Leadership in Energy and Environmental Design) is one of the most common green building rating systems used globally. However, it is difficult to apply LEED standard because of its complex requirements. Water conservation is one of categories that contain credits with multiple choice of possible designs. One of its most complex credit is Stormwater Quantity Control.There are many possible combinations of possible designs that even some of them are uncommon in the real applications. Thus, this research has studied and analyzed of many cases examined by Taiwan Green Building Center (GBC) through comprehending index, Stormwater Quantity Control, to be applied into LEED standard. By following design knowledge which are applied into the cases as visible designs and already considered as green building projects, Case-Based Reasoning (CBR) concept is utilized as an efficient method to provide several reliable designs for new cases. CBR concept quickly searches the similar design projects and manages revision of old similar design solution to fit in new cases. Test cases analysis results have shown the effectiveness of this concept by providing decision makers many fit design solutions.

Aamodt, A. and Plaza E. (1994). “Case-based reasoning: foundational issues, methodical variations and system approaches”. AI Communications 7(1).

American Association of State Highway and Transportation Official (AASHTO). (2012). “Standard Specifications for Transportation Materials and Methods of Sampling and Testing, 32nd Edition and AASHTO Provisional Standards”. Washington DC, US.

ABRI (Architecture and Building Research Institute, Ministry of the Interior - 內政部建築研究所). (2012). “Green Building Assessment Manual Basic (綠建築評估手冊. 基本型) (EEWH)”. New Taipei City. Architecture and Building Research Institute, Ministry of the Interior.

Acorn, T. & Walden, S. (1992). “SMART: Support management cultivated reasoning technology Compaq customer service”. Proceedings of AAAI-92 . Cambridge. MA: AAAI Press/MlT Press.

Adler, A., Armstrongs, F. J. E., et al. (2006). "Green building: Project planning and cost estimating: R.S. Means."

Akan, A. Osman. (1993). “Urban Stormwater Hydrology - A Guide to Engineering Calculations”. Basel, Switzerland. Technomic Publishing Co.

Alterman, R. (1988). “Adaptive planning”. Cognitive Science 12: pp.393-422.

Alterman, R. (1989). “Panel discussion on case representation”. FL, US. Proceedings of the Second Workshop on Case-Based Reasoning, Pensacola Beach.

AMS (American Meteorology Society). (2000). “Glossary of Meteorology”. American Meteorological Society. Retrieved 2009-01-02.

Anderberg, M.R. 1973. Cluster Analysis for Applications. Academic Press.

Avila, Hector Munoz and Michael T. Cox. (2008). “Case-Based Plan Adaptation: An Analysis and Review”. Bethlehem, PA. Intelligent Systems, IEEE volume 23, issue: 4 page 75-81.

Bain, W.M. (1986). “Case-Based Reasoning: A Computer Model of Subjective Assessment”. Yale, CT, US. Ph.D. Thesis, Yale University.

BASIN (Boulder Area Sustainability Information Network). (2005). "What is a 100 year flood?". Boulder Community Network.

Bell, Veronica. (2001). “Case-Based Reasoning Systems”. Southern Illinois University

Biswas, Asit K. (1983). “Major Water Problems Facing the World”. London, UK. International Journal of Water Resources Development, 1: 1, 1 — 14

Blick, Sandra A., et. al. (2004). “New Jersey Stormwater Best Management Practices Manual”. New Jersey Department of Environment Protection, Division of Watershed Management.

“Bird’s Eye View of NC-2009 SSc6.1:Stormwater Design-Quantity Control”. (2012). Retrieved December 25, 2012, from http://www.leeduser.com/credit/NC-2009/SSc6.1#bev-tab.

Birnbaum, L. & Collings, G. (1989). “Remindings and Engineering Design Themes: A Case Study in Indexing Vocabulary”. Pensacola Beach, FL. Proceedings of the Second Workshop on Base-Based Reasoning.

Burt, Charles M. (1999). “Irrigation Water Balance Fundamentals”. San Luis Obispo, CA. Irrigation Training Research Center.

CASQA (California Stormwater Quality Association). (2003). “Stormwater Best Management Practice Handbook – New Development and Redevelopment”. Menlo Park, CA 94026.

City of Portland. (2008). “Stormwater Management Manual”. Portland, Oregon. Department of Environment Quality.

Checkland, P., Scholes J. (1990). “Soft Systems Methodology in Action”. Wiley, NY.

Clair, P. S. and Richard Hyde. (2009). "Towards a New Model for Climate Responsive Design at the University of the Sunshine Coast Chancellery". Queensland, Australia. Journal of Green Building Paper.

Coffman, Larry. (2000). “Low-Impact Development Design Strategies, An Integrated Design Approach”. EPA 841-B-00-003. Prince George's County, Maryland. Department of Environmental Resources, Programs and Planning Division.

Cremers, Armin B., et. al. (1994). “From AI Technology Research to Applications”. Bonn, Germany. Proceedings of the IFIP Congress 94 – Volume 3

David, B.S. (1991). “Principles for case representation in a case-based aiding system for lesson planning”. Proceedings of the Workshop on Case-Based Reasoning, Madison Hotel, Washington, 8-10 May, 1991.

DNR (Department of Natural Resource), Iowa. (2009). “Iowa Stormwater Management Manual”. Iowa Department of Natural Resource.

Domeshek, E., (1993). “A case study of case indexing: Designing index feature sets to suit task demands and support parallelism”. Norwood, NJ. US. Advances in connectionnist and neural computation theory, Vol.2: Analogical connections, eds. J. Barenden and K. Holyoak.

EPA (United States Environmental Protection Agency). (2000). “Low Impact Development – A Literature Review”. Washington, DC. United States Environmental Protection Agency.

EPA (United States Environmental Protection Agency). (2010). “Source Water Protection Prcatices Bulletin”. Washington, DC. United States Environmental Protection Agency.

Falkeneheimer, B., Forbus, K.D. & Gentner, D. (1986). “The structure mapping engine”. Philadelphia, PA, US. Proceeding of the Sixth National Conference on Artificial Intelligence.

Ferguson, Bruce K. (2005). “Porous Pavements, CRC Press, Boca Raton”.

Field, R. and D. Sullivan, (editors). (2003). “Wet-Weather Flow in the Urban Watershed: Technology and Management”. CRC Press LLC, Boca Raton, FL.

Flood Control and Water Agency (FCWA). (2008). “Santa Barbara Urban Hydrograph Method”. Santa Barbara County Flood Control and Water Conservation District.

Hall, Susan, Hall $ Associates, et. al.. (1986). “Ground Water Resource Protection”. King County, Washington, DC. King County Planning Division, State of Washington, Department of Ecology.

Hammond, K.J. (1986). “CHEF: A Model of Case-Based Planning”. Philadelphia, PA, US. Proc. American Association for Artificial Intelligence, AAAI-86, August 1986.

Hammond, K.J. (1989). “On Functionally Motivated Vocabularies: An Apologia”. FL, US. Proceedings of the Second Workshop on Case-Based Reasoning, Pensacola Beach.

Hatt, B. E., Fletcher, T. D., Walsh, C. J., and Taylor, S. L. (2004). “The influence of urban density and drainage infrastructure on the concentrations and loads of pollutants in small streams”. Environmental Management 34,112–124.

Hellerstein, J. (1992). "Obtaining Quantitative Estimates from Monotone Relationships,". Recent Advances in Qualitative Physics, MIT Press.

Huang, Zhexue. (1998). “Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values”. Data Mining and Knowledge Discovery 2, 283-304.

Jay (陳冠杰). (2012). “Study of Application of Case-based Reasoning to Greenery and Water Retention Design“. Taipei, Taiwan. National Taiwan University of Science and Technology.

Kaufman, L. and Rousseeuw, P.J. 1990. Finding Groups in Data—An Introduction to Cluster Analysis. Wiley.

Kolodner, J. L. (1993). “Case-Based Reasoning”. Morgan Kaufmann.

Konrad, C.P., B.W. Jensen, S.J. Burges and L.E. Reinelt. (1995). “On-Site Residential Stormwater Management Alternatives”. Center for Urban Water Resources Management, University of Washington Dept. of Civil Engineering.

“Land Use Cover Types”. (2010). Polk County Department of Land Information.

Leake, David. (1996). “Case-Based Reasoning: Experiences, Lessons, and Future Directions”.

“LEEDuser Glossary”. (2012). Retrieved December 25th, 2012, from http://www.leeduser.com/glossary/14#letterp.

M. Goodman. (1994). "Results on Controlling Action with Projective Visualization". Proceedings: 12th National Conference on Artificial Intelligence

MacQueen, J.B. 1967. Some methods for classification and analysis of multivariate observations. Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability, pp. 281–297.

Maher, M.L. & Zhang, D.M. (1991). “CADSYN: using case and decomposition knowledge for design synthesis”. Oxford. UK. Artificial Intelligence in Design, Gero, J.S. (ed.), Butterworth-Heinmann.

Maryland Department of the Environment (MDE). (2009). “2000 Maryland stormwater design manual (revised 2009)”. Baltimore.

Metro Council. (2001). “Minnesota Urban Small Sites BMP Manual”. St. Paul, MN, US. Stormwater Best Management Practices for Cold Climates. Prepared for the Metropolitan Council by Barr Engineering Company, St. Paul, MN.

Moorman, K. & Ram, A. (1992). “A Case-based approach to reactive control for autonomous robots”. Cambridge, MA, US. Proceedings of the AAAI Fall Symposium on AI for Real-World Autonomous Robots, AAAI Press/MIT Press.

Muthukrishnan, Swarna, Bethany Madge. (2004). “The Use of Best Management Practices (BMPs) in Urban Watersheds”. Washington DC, US. National Risk Management Research Laboratory Office of Research and Development U.S. Environmental Protection Agency.

Navichandra, D. (1991). “Exploration and innovation in design:towards a computational model”. New York. NY, US. Springer Verlag,

NEDC (National Employee Development Center). (1999). “Module 205 SCS Runoff Equation”. United States. USDA (United States Department of Agriculture) Natural Resources Conservation Service.

NRCS (Natural Resources Conservation Service). (1986). “Urban Hydrology for Small Watersheds – TR-55”. US. USDA (United States Department of Agriculture), Conservation Engineering Division. Technical Release 55.

Oracle Corporation. (2013). “MySQL 5.1 Reference Manual”.

Pennsylvania Department of Environmental Protection. (2006). “Pennsylvania Stormwater Best Management Practices Manual”. Bureau of Watershed Management, Deparment of Environmental Protection.

Portalatin, M., M. Roskoski, et al. (2010). "Sustainability "How to Guide" Series." Green Building Rating Systems.

Ram, A., Arkin, R.C., Moorman, K. & Clark, R.J. (1993). “Case-based reactive navigation: A case-based method for on-line selection and adaptation of reactive control parameters in autonomous robotic systems”. Atlanta, US. Georgia Institute of Technology, College of Computing Technical report n0. GIT-CC-92/57.

Rawls, Brakensiek and Saxton. (1982). “Estimation of Soil Water Properties”. Transactions American Society of Agricultural Engineers 25(5): 1316 - 1320, 1328

Reed, Richard, et. al. (2009). "International comparison of sustainable rating tools". Journal of sustainable real estate 1(1): 22.

Richards, Bradley, et. al. (2011).“Case-based Modeling with Qualitative Indices”.

Riesbeck, C. K., Schank R. (1989). “Inside Case-based Reasoning”. Erlbaum, Northvale, NJ.

Ross, Mark. (2012). “Lecture Notes for CWR 4103 – Water Resources Engineering with Ross at South Florida (USF)”. Retrieved November 11st, 2012, from http://www.koofers.com/files/notes-7ey3uq7nyc/

Schueler, T.R. (1987). “Controlling Urban Runoff: A practical manual for planning and designing urban BMPs”. Washington, D. C, US. Metropolitan Washington Council of Governments, Washington, DC.

Schueler, T.R. (1992). “Design of Stormwater Pond Systems”. Washington, D. C. US. Metropolitan Washington Council of Governments, Washington, D. C.

Shepperd, Martin. (2003). “Case-based Reasoning and Software Engineering”. Springer.

Shiu, Simon C. K. & Sankar K. Pal. (2004). “Case-Based Reasoning: Concepts, Features and Soft Computing”. US. Applied Intelligence 21, 233–238.

Simoudis, E., Mendall, A. & Miller, P. (1993). “Automated support for developing retrieve-and-propose systems”. Orlando, Florida. Proceedings of Artificial Intelligence XI Conference.

Simpson, R. L. (1985). “A Computer Model of Case-Based Reasoning in Problem Solving: An Investigation in the Domain of Dispute Mediation”. Atlanta ,US. Technical Report GIT-ICS-85/18, Georgia Institute of Technology, School of Information and Computer Science.

Soil Conservation Service (SCS). 1964. National engineering handbook, Section 4, Hydrology. Department of Agriculture, Washington, 450 p.

Sycara, E. P. (1987). “Resolving adversial conflicts: An approach to Integrating Case-Based and Analytic Methods”. Atlanta GA. Technical Report GIT-ICS-87/26, Georgia Institute of Technology, School of Information and Computer Science.

“UFC (Unified Facilities Criteria) – Low Impact Development”. (2010). US. Department of Defense-United States of America.

U.S.EPA. 1999. “Preliminary Data Summary of Urban Storm Water Best Management Practices”. Washington, DC, US. EPA-821-R-99-012, Office of Water, Washington, DC.

USGBC, LEED. (2009). “Green Building Design and Construction – LEED Reference Guide for Green Building Design and Construction”. U.S. U.S. Green Building Council.

Ven, Frans Van De and Michiel Rijsberman. (1999). “Impact of Groundwater on Urban Development in the Netherlands”. IAHS Publ. no. 259, 1999.

Walker, A. (2010). "Natural Ventilation." National Renewable Energy Laboratory.

Watson, I. and Farhi Marir. (1994). “Case-Based Reasoning: A Review”. New Zealand. The Knowledge Engineering Review, Vol. 9 No. 4: pp. 355-381.

Watson, I. (1999). “Case-Based Reasoning Is a Methodology Not a Technology”. Knowledge-Based System 12 (1999) 303-308.

Wilke, Wolfgang, Ralph Bergmann. (1998). “Techniques and Knowledge used for Adaptation during Case-Based Problem Solving“. University of Kaiserslautern. Kaiserlautern, Germany.

Yu, S.L. and W.M. Nawang. (1993). “Best Management Practices for Urban Stormwater Runoff Control”. In: Integrated Stormwater Management, Field, R., M.L. O'Shea, and K.K. Chin, (editors). Lewis Publishers, Boca Raton, FL. Pages 191-206.H

Zomorodi, Kaveh. (2004). “Curve Number and Groundwater Recharge Credits For LID Facilites in New Jersey”. Dewberry, 8401 Arlington Blvd., Fairfax, VA 22031, kzomorodi@dewberry.com