SELECTION OF WATER QUALITY MONITORING SITES and CSU’s STARMAP
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Transcript of SELECTION OF WATER QUALITY MONITORING SITES and CSU’s STARMAP
PAGE # PAGE # 11 NWQMCNWQMCDecember 11, 2002December 11, 2002
SELECTION OF WATER QUALITY MONITORING SITES
and
CSU’s STARMAP
byN. Scott Urquhart
Department of StatisticsColorado State University
Director of STARMAP
PAGE # PAGE # 22 NWQMCNWQMCDecember 11, 2002December 11, 2002
EPA’s CURRENT GUIDANCE for 305b
States and territories are encouraged to use probabilistic designs for water quality assessments and to include reports of these assessments with their Integrated Reports.
SOURCE: The Total Maximun Load (TMDL) SOURCE: The Total Maximun Load (TMDL) Program, Office of Water, November Program, Office of Water, November
19,19,2001. Memorandum concerning 2001. Memorandum concerning
“2002“2002Integrated Water Quality Monitoring Integrated Water Quality Monitoring
andandAssessment Report Guidance”Assessment Report Guidance”
PAGE # PAGE # 33 NWQMCNWQMCDecember 11, 2002December 11, 2002
STARMAP FUNDING
EPA EPA OFFICE OF RESEARCH AND DEVELOPMENT NOT FUNDED BY OFFICE OF WATER ROUTINE (REQUIRED) DISCLAIMER:
The work reported here today was developed The work reported here today was developed under the STAR Research Assistance Agreement under the STAR Research Assistance Agreement CR-829095 awarded by the U.S. Environmental CR-829095 awarded by the U.S. Environmental Protection Agency (EPA) to Colorado State Protection Agency (EPA) to Colorado State University. This presentation has not been formally University. This presentation has not been formally reviewed by EPA. The views expressed here are reviewed by EPA. The views expressed here are solely those of presenter and the STARMAP, the solely those of presenter and the STARMAP, the Program he represents. EPA does not endorse any Program he represents. EPA does not endorse any products or commercial services mentioned in this products or commercial services mentioned in this presentation.presentation.
PAGE # PAGE # 44 NWQMCNWQMCDecember 11, 2002December 11, 2002
HOW SHOULD WATER QUALITY MONITORING SITES BE
SELECTED? Depends on Depends on OBJECTIVES OBJECTIVES
Evaluating the effect of a known point source Evaluate quality above and below point sourceEvaluate quality above and below point source
Trying to find unidentified point source Start from known presence of “pollutant”Start from known presence of “pollutant” Work upstream checking concentration of “pollutant”Work upstream checking concentration of “pollutant”
in each branch.in each branch.
Characterizing all waters in some domain Like for Clean Water Act 305b reportingLike for Clean Water Act 305b reporting Select sites randomly Select sites randomly
Increasingly being done by states Endorsed by EPA’s Office of water More generally, variable probability is possible
PAGE # PAGE # 55 NWQMCNWQMCDecember 11, 2002December 11, 2002
STATES ARE BEGINNING TO USE PROBABILITY-BASED SITE SELECTION
States adopting EMAP designs
States evaluating EMAP designs
States considering EMAP designs
Courtesy of Steve Paulsen, Courtesy of Steve Paulsen, EPAEPA
PAGE # PAGE # 66 NWQMCNWQMCDecember 11, 2002December 11, 2002
QUICK ILLUSTRATION
To investigate flow status of stream To investigate flow status of stream tracestraces
identified as intermittent:identified as intermittent:
Sampling frame: USGS/EPA National Hydrography Dataset (NHD)
100 sites in each state the 12 states in EPA Regions 8, 9, & 10.
PAGE # PAGE # 77 NWQMCNWQMCDecember 11, 2002December 11, 2002
PAGE # PAGE # 88 NWQMCNWQMCDecember 11, 2002December 11, 2002
Not Supporting
13%
FullySupporting
87%
Traditional Targeted Monitoring
FullySupporting
13%
Not Supporting
87%
Probability Survey
Fully Supporting
75%
Not Supporting
25%
Traditional Targeted Monitoring
Fully Supporting
95%
NotSupporting
5%
Probability Survey
IMPORTANCE OF EMAP-TYPE DESIGNS
Condition of a State’s streams using different designs
STATE B
STATE A
PAGE # PAGE # 99 NWQMCNWQMCDecember 11, 2002December 11, 2002
NORTH EAST LAKES STUDIES
EMAP NORTHEAST LAKES PILOTEMAP NORTHEAST LAKES PILOT PROBABILITY SAMPLE OF ALL LAKES IN THE
NORTHEASTERN US SECCHI TRANSPARENCY EVALUATED (AMONG
MANY RESPONSES)
GREAT AMERICAN “DIP-IN” LAKESGREAT AMERICAN “DIP-IN” LAKES 5,000 PARTICIPANTS IN VARIOUS LAKE
MONITORING PROGRAMS (US-WIDE) VOLUNTEERS WERE ASKED TO EVALUATE
SECCHI TRANSPARENCY IN “THEIR” LAKES BETWEEN 7/1/95 AND 7/9/95 (AND AGAIN IN 1996)
PAGE # PAGE # 1010 NWQMCNWQMCDecember 11, 2002December 11, 2002
NORTH EAST LAKES STUDIES - II
ONE INFORMATION SOURCEONE INFORMATION SOURCE SAMPLE REPRESENTATIVENESS: A MUST
FOR RELIABLE REGIONAL LAKE CONDITION ESTIMATES OF LAKE CONDITION
by S.A. Peterson, N. S. Urquhart, and E. B. Welshby S.A. Peterson, N. S. Urquhart, and E. B. Welsh Environmental Science and Technology Environmental Science and Technology 33:33: 1559 - 1565. 1559 - 1565. (1999) (1999)
PAGE # PAGE # 1111 NWQMCNWQMCDecember 11, 2002December 11, 2002
SIZE OF NORTH EAST LAKES STUDIES
EMAP NORTHEAST LAKES PILOTEMAP NORTHEAST LAKES PILOT 312 LAKES SAMPLED
GREAT AMERICAN “DIP-IN” LAKESGREAT AMERICAN “DIP-IN” LAKES 422 LAKES REPORTED FOR NORTHEAST
POINT: THESE TWO DATA SETS ARE OF POINT: THESE TWO DATA SETS ARE OF FAIRLY SIMILAR SIZEFAIRLY SIMILAR SIZE
PAGE # PAGE # 1212 NWQMCNWQMCDecember 11, 2002December 11, 2002
PAGE # PAGE # 1313 NWQMCNWQMCDecember 11, 2002December 11, 2002
PAGE # PAGE # 1414 NWQMCNWQMCDecember 11, 2002December 11, 2002
PAGE # PAGE # 1515 NWQMCNWQMCDecember 11, 2002December 11, 2002
SECCHI DEPTH IN LAKES EVALUATED BY BOTH
EMAP and “DIP-IN”
PAGE # PAGE # 1616 NWQMCNWQMCDecember 11, 2002December 11, 2002
ESTIMATED CUMULATIVE DISTRIBUTION FUNCTION OF SECCHI
DEPTH, EMAP AND “DIP-IN”
PAGE # PAGE # 1717 NWQMCNWQMCDecember 11, 2002December 11, 2002
CONCLUSIONS
THE SHORTCOMINGS OF A THE SHORTCOMINGS OF A CONVENIENCE COLLECTION OF SITES CONVENIENCE COLLECTION OF SITES CANNOT BE OVERCOME BY EITHERCANNOT BE OVERCOME BY EITHER ABSENCE OF A PLAN TO “BIAS” THE
SITUATIONS EXAMINED, or LARGE DATA SETS
==> SEVERELY LIMITS THE BREADTH OF ANY==> SEVERELY LIMITS THE BREADTH OF ANY INFERENCES WHICH CAN BE DRAWN INFERENCES WHICH CAN BE DRAWN FROM FROM
RESAMPLING STUDIESRESAMPLING STUDIES BOOTSTRAPPING JACKKNIFING
PAGE # PAGE # 1818 NWQMCNWQMCDecember 11, 2002December 11, 2002
A PROGRAM IN
STATISTICAL SURVEY DESIGN AND ANALYSIS
FOR AQUATIC RESOURCES
STARMAP: THE PROGRAM AT STARMAP: THE PROGRAM AT
COLORADO STATE UNIVERSITYCOLORADO STATE UNIVERSITY
SPACE-TIME AQUATIC RESOURCES MODELING AND ANALYSIS PROGRAM
PAGE # PAGE # 1919 NWQMCNWQMCDecember 11, 2002December 11, 2002
SUMMARY OF BACKGROUNDfor
STARMAP Probability-based surveys of aquatic Probability-based surveys of aquatic
resources have a role and will be resources have a role and will be implementedimplemented
Important associated questionsImportant associated questions How should we combine
Probability survey data with Probability survey data with Data from purposefully picked sites?Data from purposefully picked sites?
How can we incorporate remotely sensedinformation (satellite) with ground data?
Role of landscape data (GIS) is? How can we make accurate predictions of water
quality at unvisited sites, using all of above?
PAGE # PAGE # 2020 NWQMCNWQMCDecember 11, 2002December 11, 2002
STARMAP’S MAJOR OBJECTIVES
TO ADVANCE THE SCIENCE OFTO ADVANCE THE SCIENCE OFSTATISTICS TO ADDRESS SUCHSTATISTICS TO ADDRESS SUCHQUESTIONSQUESTIONS
TECHNIQUES OF HIERARCHICAL SURVEYDESIGN AND ALLIED TECHNIQUES
SPATIAL AND TEMPORAL MODELING BAYESIAN METHODOLOGYBAYESIAN METHODOLOGY
TO DEVELOP AND EXTEND THEOP AND EXTEND THEEXPERTISE ON DESIGN ANDEXPERTISE ON DESIGN ANDANALYSIS TO THE STATES ANDANALYSIS TO THE STATES ANDTRIBESTRIBES
PAGE # PAGE # 2121 NWQMCNWQMCDecember 11, 2002December 11, 2002
STARMAP’S VISION
PERSPECTIVE: A SEARCHING ANALYSIS OF A REAL,
MODERATELY COMPLEX, DATA SET ALMOST ALWAYS GENERATES QUESTIONS WHOSE ANSWER CALLS FOR AN EXTENSION OF EXISTING STATISTICAL THEORY OR
METHODOLOGY.
PAGE # PAGE # 2222 NWQMCNWQMCDecember 11, 2002December 11, 2002
STARMAP PROJECTS
COMBINING ENVIRONMENTAL DATACOMBINING ENVIRONMENTAL DATASETS - JENNIFER HOETINGSETS - JENNIFER HOETING
LOCAL ESTIMATION - JAY BREIDTLOCAL ESTIMATION - JAY BREIDT
INDICATOR DEVELOPMENT - DAVEINDICATOR DEVELOPMENT - DAVETHEOBALD (CSU’S Natural THEOBALD (CSU’S Natural
ResourcesResourcesEcology Lab) Ecology Lab)
OUTREACH - SCOTT URQUHARTOUTREACH - SCOTT URQUHART This is why I am here
PAGE # PAGE # 2323 NWQMCNWQMCDecember 11, 2002December 11, 2002
COORDINATION - EXTERNAL TO CSU/OSUCONTINUED
COLLABORATOR COMMUNITIESCOLLABORATOR COMMUNITIES SUB-STATE REGIONAL ENVIRONMENTAL AUTHORITIESSUB-STATE REGIONAL ENVIRONMENTAL AUTHORITIES EPA PERSONNELEPA PERSONNEL
REGIONS 8, 9 & 10 HEADQUARTERS
» OFFICE OF RESEARCH AND DEVELOPMENT
» OFFICE OF WATER
» TRIBAL SCIENTIFIC COUNCIL EPA LABS
» …..
PAGE # PAGE # 2424 NWQMCNWQMCDecember 11, 2002December 11, 2002
COORDINATION - EXTERNAL TO CSU/OSUCONTINUED 2
COLLABORATOR COMMUNITIESCOLLABORATOR COMMUNITIES EPA PERSONNELEPA PERSONNEL
… EPA LABS
» WESTERN ECOLOGY LAB - CORVALLIS
» MIDWESTERN ECOLOGY LAB - DULUTH, MN
» EASTERN ECOLOGY LAB
» ECOSYSTEMS RESEARCH DIVISION
» LAS VEGAS LAB - LANDSCAPE ECOLOGY STATE PERSONNEL
» MAINLY AT OSU, SO FAR
PAGE # PAGE # 2525 NWQMCNWQMCDecember 11, 2002December 11, 2002
A CROSS-PROJECT THRUST
FLOW AND FLOW STATUS FLOW AND FLOW STATUS EPA DIRECTIVES TO STATES ANDEPA DIRECTIVES TO STATES AND
TRIBES TRIBES PROBABILITY SAMPLING
OBSTACLES TO ACCURATEOBSTACLES TO ACCURATEPROBABILITY-BASED SAMPLINGPROBABILITY-BASED SAMPLING
PAGE # PAGE # 2626 NWQMCNWQMCDecember 11, 2002December 11, 2002
FLOW AND FLOW STATUS
FLOW - AN INDICATOR OF BASE FLOWFLOW - AN INDICATOR OF BASE FLOW QUANTITY QUANTITY
FLOW STATUSFLOW STATUS PERENNIAL NON-PERENNIAL
CLIENT: STATE AND TRIBAL WATERCLIENT: STATE AND TRIBAL WATERQUALITY AGENCIESQUALITY AGENCIES
REPORTING UNDER 305b OF CLEANWATER ACT
PAGE # PAGE # 2727 NWQMCNWQMCDecember 11, 2002December 11, 2002
A MAJOR PROBLEM FOR PROBABILITY-BASED SAMPLING OF
WATER BODIES PROBABILITY-BASED SELECTION OF SITES
RELIES ON A “FRAME” OR LIST OF POTENTIAL SITES
THE NATIONAL HYDROGRAPHY DATASET (NHD) - BASED ON “BLUE LINES” ON USGS MAPS IS THE ONLY PRACTICALLY AVAILABLE FRAME MATERIALS
MAJOR PROBLEM = FRAME ERRORSMAJOR PROBLEM = FRAME ERRORS
PAGE # PAGE # 2828 NWQMCNWQMCDecember 11, 2002December 11, 2002
FRAME ERRORSTO BE DOCUMENTED SHORTLY
WATER BODY SIZEWATER BODY SIZE IMPORTANCE OF SIZE WILL BE ADDRESSED
SHORTLY
FLOW STATUS -- re PERENNIALFLOW STATUS -- re PERENNIAL IDENTIFIED AS PERENNIAL, BUT NOT
WASTES EFFORT OF FIELD CREWSWASTES EFFORT OF FIELD CREWS
IDENTIFIED AS NON-PERENNIAL, BUT REALLY IS PERENNIAL
MISSED RESOURCEMISSED RESOURCE INACCURATE ASSESSMENTINACCURATE ASSESSMENT
PAGE # PAGE # 2929 NWQMCNWQMCDecember 11, 2002December 11, 2002
EMAP-West Stream/river Length(km ± 95% CI)
from Peck, et al (2002) - EMAP symposium
FFrraammee SSoouurrcceeRRFF33 FFrraammee
SSiizzeeEvaluated“Perennial”
EvaluatedNon- perennial
RF3 CodedPerennial
(Perennial Survey)
656,706501,06015,590
128,32812,709
RF3 CodedNon- perennial
(Non- perennial Survey)
1,628,980112,53721,278
1,469,27763,515
Total2,285,686 613,597
26,3781,597,605
64,774
PAGE # PAGE # 3030 NWQMCNWQMCDecember 11, 2002December 11, 2002
EMAP-West Stream/river Length(km ± 95% CI)
from Peck, et al (2002) - EMAP symposium
FFrraammee SSoouurrcceeRRFF33 FFrraammee
SSiizzeeEvaluated“Perennial”
EvaluatedNon- perennial
RF3 CodedPerennial
(Perennial Survey)
656,706501,06015,590
128,32812,709
RF3 CodedNon- perennial
(Non- perennial Survey)
1,628,980112,53721,278
1,469,27763,515
Total2,285,686 613,597
26,3781,597,605
64,774
PAGE # PAGE # 3131 NWQMCNWQMCDecember 11, 2002December 11, 2002
EMAP-West Stream/river Length(km ± 95% CI)
from Peck, et al (2002) - EMAP symposium
FFrraammee SSoouurrcceeRRFF33 FFrraammee
SSiizzeeEvaluated“Perennial”
EvaluatedNon- perennial
RF3 CodedPerennial
(Perennial Survey)
656,706501,06015,590
128,32812,709
RF3 CodedNon- perennial
(Non- perennial Survey)
1,628,980112,53721,278
1,469,27763,515
Total2,285,686 613,597
26,3781,597,605
64,774
PAGE # PAGE # 3232 NWQMCNWQMCDecember 11, 2002December 11, 2002
THANK YOU FOR YOUR ATTENTION
QUESTIONS and/or COMMENTS ARE WELCOME
PAGE # PAGE # 3333 NWQMCNWQMCDecember 11, 2002December 11, 2002
PAGE # PAGE # 3434 NWQMCNWQMCDecember 11, 2002December 11, 2002
FUNDING SOURCE
ALL OF THE WORK REPORTED HERE TODAYALL OF THE WORK REPORTED HERE TODAY was was
developed under the STAR Research Assistance Agreement CR-developed under the STAR Research Assistance Agreement CR-829095 awarded by the U.S. Environmental Protection Agency 829095 awarded by the U.S. Environmental Protection Agency (EPA) to Colorado State University, or CR-829096(EPA) to Colorado State University, or CR-829096 awarded to awarded to Oregon State University. These presentations have not been Oregon State University. These presentations have not been formally reviewed by EPA. The views expressed here are solely formally reviewed by EPA. The views expressed here are solely those of authors and the respective Programs. EPA does not those of authors and the respective Programs. EPA does not endorse any products or commercial services mentioned in these endorse any products or commercial services mentioned in these presentations.presentations.
PAGE # PAGE # 3535 NWQMCNWQMCDecember 11, 2002December 11, 2002
THIS TALK
STARMAPSTARMAP OBJECTIVES AND VISION PROJECTS COORDINATION
A CROSS-PROJECT THRUSTA CROSS-PROJECT THRUST DEVELOP MODELS & METHODS TO
SUPPORT STATE & TRIBAL USE OF PROBABILITY-BASED STATE & TRIBAL USE OF PROBABILITY-BASED
SITE SELECTIONSITE SELECTION
PAGE # PAGE # 3636 NWQMCNWQMCDecember 11, 2002December 11, 2002
STARMAP’S VISIONCONTINUED
SUCH RESEARCH OPPORTUNITIESWILL BECOME PROBLEMSATTACKED BY
IN ORDER OF COMPLEXITY MASTERS STUDENTS DOCTORAL STUDENTS POST-DOCTORAL FELLOWS AFAFFILIATED FACULTY SUPERVISORS
PAGE # PAGE # 3737 NWQMCNWQMCDecember 11, 2002December 11, 2002
STARMAP’S VISIONCONTINUED - 2
THE IDENTIFICATION OF THOSEQUESTIONS REQUIRES
A STRONG WORKING RELATIONSHIPBETWEEN
THE STATISTICIAN AND THE (SUBJECT MATTER) SCIENTIST
STARMAP WILL FOSTER SUCHRELATIONSHIPS
PAGE # PAGE # 3838 NWQMCNWQMCDecember 11, 2002December 11, 2002
STARMAP’S FUNDING ALLOCATION(ALL 12-MONTH BASIS)
DIRECTOR - 0.60 FTEDIRECTOR - 0.60 FTE FACULTY - 0.75 FTEFACULTY - 0.75 FTE GRADUATE STUDENTS - 3 FTE GRADUATE STUDENTS - 3 FTE POST DOCTORAL FELLOWS - 2 FTEPOST DOCTORAL FELLOWS - 2 FTE STAFF 1.00 FTE - 2 YEARS, ONLYSTAFF 1.00 FTE - 2 YEARS, ONLY AMPLE FUNDS FOR COLLABORATIONAMPLE FUNDS FOR COLLABORATION
& PROFESSIONAL TRAVEL& PROFESSIONAL TRAVEL SUBCONTRACTORS ( $185K $120K)SUBCONTRACTORS ( $185K $120K)
PAGE # PAGE # 3939 NWQMCNWQMCDecember 11, 2002December 11, 2002
COORDINATION
MAJOR RESPONSIBILITY OF BOTHMAJOR RESPONSIBILITY OF BOTHPROGRAM DIRECTORSPROGRAM DIRECTORS
CSU/OSU - EACH DIRECTOR IS FUNDED ON THE OTHERS’ ADMIN BUDGET
INTERCHANGE VISITSINTERCHANGE VISITS EX: STEVENS & GITELMAN AT CSU IN JANUARY THESE JOINT CONFERENCES
FREQUENT E-MAILS & PHONE TALKSFREQUENT E-MAILS & PHONE TALKS
DIRECTORS HAVE VISITEDSUBCONTRACTORS
PAGE # PAGE # 4040 NWQMCNWQMCDecember 11, 2002December 11, 2002
COORDINATION - AT CSU FREQUENT COMMUNICATIONFREQUENT COMMUNICATION
AMONG ALL PI’SAMONG ALL PI’S SEVERAL JOINT PLANNING MEETINGS
LAST FALL SEMINAR LAST SPRING BACK AND FORTH WITH LANDSCAPE
ECOLOGY INTERACTION WITH AQUATIC
BIOLOGISTS POFF & BLEDSOE AT CSUPOFF & BLEDSOE AT CSU STAR MEETING IN DENVER NEXT WEEKSTAR MEETING IN DENVER NEXT WEEK
PAGE # PAGE # 4141 NWQMCNWQMCDecember 11, 2002December 11, 2002
COORDINATION - EXTERNAL TO CSU/OSU
COLLABORATOR COMMUNITIESCOLLABORATOR COMMUNITIES ESTUARINE & GREAT LAKES INDICATOR
DEVELOPMENT (EaGLes) ATTEND “ALL HANDS MEETINGS”ATTEND “ALL HANDS MEETINGS”
PRESENT INFORMATION ABOUT OUR PROGRAMS
EMAP - PERSONAL CONTACT SOURCE OF NEW PROBLEMS SOURCE OF NEW PROBLEMS
EX: ACID RAIN REPORT TO CONGRESS - TRENDAT PROBABILITY & “HAND-
PICKED” SITES
» OPPORTUNITIES FOR PROJECTS 1 & 2
PAGE # PAGE # 4242 NWQMCNWQMCDecember 11, 2002December 11, 2002
COMMENTS ON THE DISTRIBUTION OF WATER BODY SIZES - SO WHAT
FOR “USE” AREA IS IMPORTANTFOR “USE” AREA IS IMPORTANT RECREATION REARING HABITAT - SHRIMP TO GEESE DOMESTIC & INDUSTRIAL WATER
USERS - EVEN VOLUME
FOR PRESERVATION OFFOR PRESERVATION OF“BIOLOGICAL DIVERSITY”“BIOLOGICAL DIVERSITY”NUMBERS ARE VERY IMPORTANTNUMBERS ARE VERY IMPORTANT
PAGE # PAGE # 4343 NWQMCNWQMCDecember 11, 2002December 11, 2002
COMMENTS ON THE DISTRIBUTION OF WATER BODY SIZES - SO WHAT II
PROBABILITY-BASED SAMPLING HAS TO PROBABILITY-BASED SAMPLING HAS TO BALANCE NUMBER AGAINST SIZEBALANCE NUMBER AGAINST SIZE REGARDLESS OF WATER BODY TYPE THIS PRECLUDES SIMPLE RANDOM
SAMPLING
CONSEQUENCE: VARIABLE CONSEQUENCE: VARIABLE PROBABILITY/VARIABLE DENSITYPROBABILITY/VARIABLE DENSITYSAMPLING HAS TO BE USED SAMPLING HAS TO BE USED
PAGE # PAGE # 4444 NWQMCNWQMCDecember 11, 2002December 11, 2002
PREREQUISITE FOR ACCURATE SITE SELECTION
AN ACCURATE FRAME SPATIALLY (REGIONAL) CONSISTENCY CRITICAL FOR CREDIBILITY AMONG
WATER RESOURCE MANAGERS
THE NEED:GOOD PREDICTORS OF THE NEED:GOOD PREDICTORS OF WATER BODY SIZE PERENNIAL STATUS
PAGE # PAGE # 4545 NWQMCNWQMCDecember 11, 2002December 11, 2002
PREDICTION OF WATERBODY SIZE
INITIAL EFFORT - STREAMS - MAHAINITIAL EFFORT - STREAMS - MAHA OVERCOMES LIMITATIONS OF
STRAHLER ORDERSTRAHLER ORDER REGIONAL INCONSISTENCIES DUE TOREGIONAL INCONSISTENCIES DUE TO
VARIABLE DENSITY OF “BLUE LINES”VARIABLE DENSITY OF “BLUE LINES”ON USGS MAPS (SEE MAP ON THE ON USGS MAPS (SEE MAP ON THE
WALL)WALL)
INITIAL EFFORT: GET WATERSHED AREA PREDICTOR CHARACTERISTICS GAUGED FLOW (PERHAPS ONLY “BASE FLOW”)
PAGE # PAGE # 4646 NWQMCNWQMCDecember 11, 2002December 11, 2002
PREDICTION OF PERENNIAL STATUS
IMMEDIATELY AVAILABLE DATAIMMEDIATELY AVAILABLE DATA EMAP WESTERN PILOT STUDY
SURVEY OF TRACES LABELED “NON-PERENNIAL”SURVEY OF TRACES LABELED “NON-PERENNIAL” 100 PER WESTERN STATE; DATA NOW AT CSU STARMAP NOW COMPILING ASSOCIATED
LANDSCAPE INFORMATION SITE EVALUATION FROM SITES SELECTED ON SITE EVALUATION FROM SITES SELECTED ON
TRACES LABELED “PERENNIAL”TRACES LABELED “PERENNIAL” ON GOING WORK IN EMAP-WEST
PAGE # PAGE # 4747 NWQMCNWQMCDecember 11, 2002December 11, 2002
PREDICTION OF PERENNIAL STATUS:OTHER POTENTIAL DATA SOURCES
MAIA - ORIGINAL SAMPLINGMAIA - ORIGINAL SAMPLINGINCLUDED ALL TRACES INCLUDED ALL TRACES
REGARDLESS OF PERENNIAL CLASS
OTHER SURVEYSOTHER SURVEYS REGION 7 VARIOUS STATES
OTHER SURVEYS POSSIBLE IFOTHER SURVEYS POSSIBLE IFMETHODOLOGY WORKSMETHODOLOGY WORKS
PAGE # PAGE # 4848 NWQMCNWQMCDecember 11, 2002December 11, 2002
EXPECTED OUTPUTS
MODELS TO INCORPORATE INTOMODELS TO INCORPORATE INTOSITE SELECTION PROGRAMSSITE SELECTION PROGRAMS
MORE GENERALLY, STATISTICAL MORE GENERALLY, STATISTICAL METHODS TO SUPPORT THOSEMETHODS TO SUPPORT THOSEMODELSMODELS
A RANGE OF GIS TOOLS USEFULA RANGE OF GIS TOOLS USEFULFOR AQUATIC MONITORINGFOR AQUATIC MONITORING
CONTINUEDCONTINUED
PAGE # PAGE # 4949 NWQMCNWQMCDecember 11, 2002December 11, 2002
EXPECTED OUTPUTS
...... AN EXPERIENCE BASE AN EXPERIENCE BASE
FUTURE GENERATIONS OF ENVIRONMENTAL STATISTICIANS
ORIENTED TOWARD AQUATIC SCIENCESORIENTED TOWARD AQUATIC SCIENCES
PAGE # PAGE # 5050 NWQMCNWQMCDecember 11, 2002December 11, 2002
QUESTIONS ARE WELCOME
PAGE # PAGE # 5151 NWQMCNWQMCDecember 11, 2002December 11, 2002
NEXT SPEAKER
JENNIFER HOETING JENNIFER HOETING LEADER OF PROJECT 1 COMBINING ENVIRONMENTAL DATASETS
PAGE # PAGE # 5252 NWQMCNWQMCDecember 11, 2002December 11, 2002
DISTRIBUTION OF LAKE SIZES IN THE CONTERMINOUS US
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
1 to 5 5 to 10 10 to 50 50 to 500 500 to 5000 >5000
LAKE SIZE CLASS
PR
OP
OR
TIO
N O
F L
AK
ES
(#
)
PAGE # PAGE # 5353 NWQMCNWQMCDecember 11, 2002December 11, 2002
DISTRIBUTION OF AREA OF LAKES IN THE CONTERMINOUS US BY LAKE SIZE
0
0.1
0.2
0.3
0.4
1 to 5 5 to 10 10 to 50 50 to 500 500 to 5000 >5000
LAKE SIZE CLASS
PR
OP
OR
TIO
N O
F L
AK
ES
(A
RE
A)
PAGE # PAGE # 5454 NWQMCNWQMCDecember 11, 2002December 11, 2002
CONTRAST OF THE DISTRIBUTIONS OF AREA AND NUMBER OF LAKES IN THE CONTERMINOUS
US BY LAKE SIZE
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
1 to 5 5 to 10 10 to 50 50 to 500 500 to 5000 >5000
LAKE SIZE CLASS
PR
OP
OR
TIO
N O
F L
AK
ES
PAGE # PAGE # 5555 NWQMCNWQMCDecember 11, 2002December 11, 2002
COMMENTS ON THE DISTRIBUTION OF WATER BODY SIZES
INFORMATION PROVIDED APPLIES TO INFORMATION PROVIDED APPLIES TO ALL LAKES IN THE “LOWER 48”ALL LAKES IN THE “LOWER 48” A SIMILAR DISTRIBUTION OCCURS IN
ALL PARTS OF THE US
OTHER KINDS OF WATER BODIESOTHER KINDS OF WATER BODIES SAME KIND OF PATTERN
STREAMS & RIVERSSTREAMS & RIVERS WETLANDSWETLANDS ESTUARIESESTUARIES