Groupwise modeling study of bacterially impaired watersheds in Texas: Clustering analysis

Journal of the American Water Resources Association

Volumn 42, Issue 4, 2006, Pages 1017-1031

  Paul, Sabu ^a   Srinivasan, Raghavan ^b   Sanabria, Joaquin ^c   Haan, Patricia K ^d   Mukhtar, Saqib ^d   Neimann, Kerry ^e  

^a TETRA TECH INC   (United States)

^b TEXAS A AND M UNIVERSITY   (United States)

^c BLACKLAND RESEARCH AND EXTENSION CENTER   (United States)

^d TEXAS A AND M UNIVERSITY   (United States)

^e Texas Commission on Environmental Quality   (United States)

Author keywords

Cluster analysis; Coliform bacteria; Nonpoint source pollution; Statistical analysis; Total maximum daily load (TMDL); Water quality

Indexed keywords

COLIFORM BACTERIA; COMPUTER SIMULATION; MATHEMATICAL MODELS; STATISTICAL METHODS; WATER QUALITY;

CLUSTER ANALYSIS; NONPOINT SOURCE POLLUTION; TOTAL MAXIMUM DAILY LOAD (TMDL);

WATERSHEDS;

COLIFORM BACTERIA; COMPUTER SIMULATION; MATHEMATICAL MODELS; STATISTICAL METHODS; WATER QUALITY; WATERSHEDS;

CLUSTER ANALYSIS; COLIFORM BACTERIUM; NONPOINT SOURCE POLLUTION; WATER POLLUTION; WATER QUALITY; WATERSHED;

NORTH AMERICA; TEXAS; UNITED STATES;

ANIMALIA; BACTERIA (MICROORGANISMS);

EID: 33845340113     PISSN: 1093474X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1752-1688.2006.tb04511.x     Document Type: Article

References (39)

1. Alberto, W.D., M.L. Del Pilar, A.M. Valeria, P.S. Fabiana, H.A. Cecilia, and B.M. De Los Angeles, 2001. Pattern Recognition Techniques for the Evaluation of Spatial and Temporal Variations in Water Quality. A Case Study: Suquía River Basin (Córdoba-Argentina). Water Res. 35(12):2881-2894.
2. Box, G.E.P. and D.R. Cox, 1964. An Analysis of Transformations. J. Royal Stat. Soc. 26:211-253.
3. Carlon, C., A. Critto, A. Marcomini, and P. Nathanail, 2001. Risk Based Characterization of Contaminated Industrial Site Using Multivariate and Geostatistical Tools. Environmental Pollution. 111:417-427.
4. Cattell, R.B., 1966. The Scree Test for the Number of Factors. Multivariate Behavioral Res.1:245-276.
5. Choi, S., W. Chu, J. Brown, S.J. Becker, V.J. Harwood, and S.C. Jiang, 2003. Application of Enterococci Antibiotic Resistance Patterns for Contamination Source Identification at Huntington Beach, California. Marine Pollution Bulletin.
6. Clucas, S.R., 1997. Construction as a Curriculum Organizer for Technology Education. PhD. Dissertation, Virginia Polytechnic Institute and State University, Department of Teaching and Learning, Blacksburg, Virginia.
7. ESRI (Environmental Systems Research Institute), 1999. Getting to Know ArcView GIS: The Geographic Information System (GIS) for Everyone (Third Edition). Environmental Systems Research Institute, Redlands, California.
8. Haan, C.T., 2002. Statistical Methods in Hydrology (Second Edition). Iowa State University Press, Ames, Iowa.
9. Helena, B., R. Pardo, M. Vega, E. Barrado, J.M. Fernandez, and L. Fernandez, 2000. Temporal Evolution of Groundwater Composition in an Alluvial Aquifer (Pisuerga River, Spain) by Principal Component Analysis. Water Res. 34(3):807-816.
10. Jenerette, G.D., J. Lee, D.W. Waller, and R.E. Carlson, 2002. Multivariate Analysis of the Ecoregion Delineation for Aquatic Systems. Env. Mgmt. 29(1):67-75.
11. Johnson, R.A. and D.W. Wichern, 2002. Applied Multivariate Statistical Analysis (Fifth Edition). Prentice Hall International, Upper Saddle River, New Jersey.
12. Kaiser, H.F., 1960. The Application of Electronic Computers to Factor Analysis. Educational and Psychological Measurement 20:141-151.
13. Kalkstein, L.S., G. Tan, and J.A. Skindlov, 1987. An Evaluation of Three Clustering Procedures for Use in Synoptic Climatological Classification. J. Climate and Applied Meteorology 26:717-730.
14. Karson, M.J., 1982. Multivariate Statistical Methods. Iowa State University Press, Ames, Iowa.
15. Milton, J.S. and J.C. Arnold, 1995. Introduction of Probability and Statistics. Principles and Application for Engineering and the Computing Sciences (Third Edition). McGraw-Hill, Inc., New York, New York.
16. Nathan, R.J. and T.A. McMahon, 1990. Identification of Homogeneous Regions for the Purposes of Regionalization. J. Hydrology 121(1990):217-238.
17. NCDC (National Climatic Data Center), 2002. NCDC: Locate Weather Observation Station Record. National Climatic Data Center, Asheville, North Carolina. Available at http://lwf. ncdc.noaa.gov/oa/climate/stationlocator.html. Accessed on January 9, 2002.
18. Parveen, S., K.M. Portier, K. Robinson, L. Edmiston, and M.L. Tamplin, 1999. Discriminant Analysis of Ribotype Profiles of Escherichia coli for Differentiating Human and Nonhuman Sources of Fecal Pollution. Appl. Environ. Microbiol. 65:3142-3147.
19. Paul, S. 2003. Bacterial Total Maximum Daily Load (TMDL): Development and Evaluation of a New Classification Scheme for Impaired Water Bodies of Texas. PhD. Dissertation, Texas A&M University, Department of Biological and Agricultural Engineering, College Station, Texas.
20. Paul, S., M. Matlock, P.K. Haan, S. Mukhtar, and S. Pillai. 2002. Uncertainty Analysis as a First Step of Developing a Risk-Based Approach to Nonprofit Source Modeling of Fecal Coliform Pollution for Total Maximum Daily Load Estimates. Technical Report No. 192, Texas Water Resources Institute, Texas A&M University, College Station, Texas.
21. SAS (SAS Institute Inc.), 1999. SAS/STAT User's Guide. SAS Institute, Inc., Cary, North Carolina, Version 8, Volumes 1-3.
22. Srivastava, M.S. and E.M. Carter, 1983. An Introduction to Applied Multivariate Statistics. Elsevier Science Publishing Co., New York, New York.
23. TNRCC (Texas Natural Resources Conservation Commission), 2000. Texas 2000 Clean Water Act Section 303(d) List. Texas Commission on Environmental Quality, Austin, Texas. Available at http://www.tnrcc.state.tx.us/water/quality/00-303 dlist.pdf. Accessed on September 18, 2001.
24. TNRIS (Texas Natural Resources Information System), 2002. Digital Elevation Models (Dems) in 30m Resolution. Texas Natural Resources Information System, Austin, Texas. Available at http://www.tnris.state.tx.us/DigitalData/ DEMs/dems.htm. Accessed on April 10, 2002.
25. U.S. Census Bureau, 1990. 1990 Census. U.S. Census Bureau, Washington, D.C. Available at http://www.census.gov/main/www/cen1990.html. Accessed on October 30, 2000.
26. U.S. Census Bureau, 2000. Census 2000 TIGER/Line® Files. U.S. Census Bureau, Washington, D.C. Available at http://www.census.gov/geo/www/tiger/ tiger2k/tgr2000.html. Accessed on October 30, 2000.
27. USDA (U.S. Department of Agriculture), 2002. USDA-NASS Published Estimates Data Base: 2000-2001. National Agricultural Statistics Database. USDA National Agricultural Statistics Service, Washington, D.C. Available at http://www.nass.usda.gov: 81/ipedb/. Accessed on February 25, 2002.
28. USEPA (U.S. Environmental Protection Agency), 1996. TMDL Development Cost Estimated: Case Studies of 14 TMDLs. USEPA 841/R/96/001, Office of Water, U.S. Environmental Protection Agency, Washington, D.C.
29. USEPA (U.S. Environmental Protection Agency), 1998. Clean Water Action Plan. Washington D.C.: U.S. Environmental Protection Agency, Washington, D.C.. Available at http://www.epa.gov/ history/topics/cwa/03.htm. Accessed on December 12, 1999.
30. USEPA (U.S. Environmental Protection Agency), 2001a. Better Assessment Science Integrating Point and Nonpoint Sources, User's Manual for Release 3.0. EPA/823/B-01/001, Office of Water, U.S. Environmental Protection Agency, Washington, D.C.
31. USEPA (U.S. Environmental Protection Agency), 2001b. Protocol for Developing Pathogen TMDLs (First Edition). EPA/841/R-00/002, Office of Water, U.S. Environmental Protection Agency, Washington, D.C.
32. USEPA (U.S. Environmental Protection Agency), 2002. Index of /waterscience/ftp/basins/. U.S. Environmental Protection Agency, Washington, D.C. Available at http://www.epa.gov/waterscience/ftp/basins/. Accessed on April 10, 2002.
33. USGS (U.S. Geological Survey), 2002a. National Hydrography Dataset. U.S. Geological Survey, Reston, Virginia. Available at http://nhd.usgs.gov/index. html. Accessed on March 12, 2002.
34. USGS (U.S. Geological Survey), 2002b. National Land Cover Characterization Project. U.S. Geological Survey, Reston, Virginia. Available at http://landcover.usgs.gov/nationallandcover.asp. Accessed on April 10, 2002.
35. USGS (U.S. Geological Survey), 2002c. Daily Streamflow for the Nation. U.S. Geological Survey, Reston, Virginia. Available at http://nwis.waterdata. usgs.gov/usa/nwis/discharge/? state_cd=48& format=station_list&sort_key= site_no&group_ key=NONE&sitefile_output_format= html_table&column_name =agency_cd&column_name=site_no&column_name= station_nm &column_name=lat_va&column_name=long_va&column_name =state_cd. Accessed on January 9, 2002.
36. Vega, M., R. Pardo, E. Barrado, and L. Debn, 1998. Assessment of Seasonal and Polluting Effects on the Quality of River Water by Exploratory Data Analysis. Water Res. 32(12):3581-3592.
37. Whitlock, J.E., D.T. Jones, and V.J. Harwood, 2002. Identification of the Sources of Fecal Coliforms in an Urban Watershed Using Antibiotic Resistance Analysis. Water Res. 36:4265-4274.
38. Wiggins, B.A., R.W. Andrews, R.A. Conway, C.L. Corr, E.J. Dobratz, D.P. Dougherty, J.R. Eppard, S.R. Knupp, M.C. Limjoco, J.M. Mettenburg, J.M. Rinehardt, J. Sonsino, R.L. Torrijos, and M.E. Zimmerman, 1999. Use of Antibiotic Resistance Analysis to Identify Nonpoint Sources of Fecal Pollution. Appl. Environ. Microbiol. 65:3483-3486.
39. Yung, Y.-K., C.K. Wong, K. Yau, and P.Y. Qiah, 2001. Long-Term Changes in Water Quality and Phytoplankton Characteristics in Port Shelter, Hong Kong, From 1988-1998. Marine Pollution Bulletin 42(10):981-992.