Sustainable Dubuque Watershed NetworkMasterpiece on the Mississippi
TO: The Honorable Mayor and City Council Members
FROM: Michael C. Van Milligen, City Manager
SUBJECT: Sustainable Dubuque Watershed Network
DATE: April 14, 2011
Dubuque
httil
Afl AmedcaCity
11111 1
2007
The University of Iowa College of Engineering and Environmental Science has
contacted the City of Dubuque to propose a collaboration on research and funding for a
Sustainable Dubuque Watershed Network. The research would be intended to
coordinate with existing University watershed research, but take it a step further by
incorporating advanced measuring devices and analysis into an urban watershed, the
North Fork — Catfish Creek. It is intended that the outcome help inform and analyze
future infrastructure design and renovation and low- impact development options for the
community and its stakeholders.
The first two years of seed grant research is to initiate a watershed network and
intelligent digital watershed for the North Fork of Catfish Creek in Dubuque with an eye
towards understanding, modeling, and predicting the infiltration and inflow to the
sanitary sewer system which creates unwanted by -pass flows. Additionally, watershed
modeling should improve the City's ability to understand and plan for future challenges
to its urban watershed. It would continue the significant efforts being undertaken by the
community to improve its inflow and infiltration issues.
Specific research will be sought for analysis of infrastructure design and renovation and
low- impact development options for stakeholders such as rain gardens, bioswales,
bioretention areas, green roofs, and other policy options within the watershed.
Handling watershed issues before they become Water and Resource Recovery Center
issues will be an economic and environmental benefit to the community.
The local college presidents have already been asked to provide their local experts and
University of Iowa Professor Jerry Schnoor would come to Dubuque in May to continue
the dialogue.
The budget for the project is $85,214. $65,214 will be provided by the University of
Iowa and $25,000 will be provided by the City. The City's portion of the funding is
already budgeted as part of the base bid of the Water and Resource Recovery Center
project. This funding will provide data on Plant flow that is currently collected to be
connected with Inflow and Infiltration reduction analytics. The ability to plan for and
avoid inflow and infiltration problems within the urban watersheds of Dubuque will be a
significant opportunity and is key to the City remaining in compliance with U.S.
Environmental Protection Agency directives to reduce infiltration and inflow into the
Water and Resource Recovery Center.
concur with the recommendation and respectfully request Mayor and City Council
approval.
2
Mich. -I C. Van Milligen
MCVM:jh
Attachment
cc: Barry Lindahl, City Attorney
Cindy Steinhauser, Assistant City Manager
Teri Goodmann, Assistant City Manager
Jonathan Brown, Water and Resource Recovery Center
Gus Psihoyos, City Engineer
Cori Burbach, Sustainability Coordinator
Don Vogt, Public Works Director
Deron Muehring, Civil Engineer II
John Klostermann, Street and Sewer Maintenance Supervisor
Paul Schultz, Resource Management Coordinator
Jane McAllister, Esq., Ahlers & Cooney, P.C.
Eric Dregne, Vice President of Program, Community Foundation of Greater
Dubuque
David Lyons, Smarter Sustainable Dubuque Project Manager
Introduction
Background
Masterpiece on the Mississippi
TO: Michael C. Van Milligen, City Manager
FROM: David Lyons, Smarter Sustainable Dubuque Project Manager
SUBJECT: Sustainable Dubuque Watershed Network
DATE: April 5, 2011
The purpose of this memorandum is to inform City Council of a proposed research project to be
undertaken in partnership with the University of Iowa. It would be an academic collaboration to
develop the Sustainable Dubuque Watershed Network.
Dubuque
kitteg
AN- AmehcaCity
1 1 1 1 1 i
2007
As you are aware, the community's Sustainable Dubuque initiative has attracted significant national
attention and the opportunity for multiple research collaborations. Specifically, the University of Iowa
has recently begun the process of developing and funding sustainability research projects in
collaboration with the community through its School of Urban and Regional Planning. In addition, the
University of Iowa College of Engineering and Environmental Science has contacted the community to
propose a collaboration on research and funding for a Sustainable Dubuque Watershed Network. The
research would be intended to coordinate with existing University watershed research, but take it a step
further by incorporating advanced measuring devices and analysis into an urban watershed (North Fork
— Catfish Creek). It is intended that the outcome help inform and analyze future infrastructure design
and renovation and low- impact development options for the community and its stakeholders.
Discussion
This proposed undertaking would apply modern observational sensing technologies, wireless
communications, data assimilation techniques, and high - performance computing to investigate the
physical, chemical and biological processes controlling the quantity and quality of urban waters. For the
University, the SDWN (Sustainable Dubuque Watershed Network) will provide a foundation for
fundamental and applied research that will contribute to the preservation, protection, and wise use of
natural waters, and to the public understanding of the Water Cycle and their role in it. Specifically,
spatially - detailed, high frequency sensing of water resources using an embedded network approach can
provide breakthroughs in water science and engineering by understanding: 1) Nonlinearities; 2)
Scalability; 3) Prediction and Forecasting; and 4) Discovery science. For the City, the primary objective
for the first two years of seed grant research is to initiate a watershed network and intelligent digital
watershed for the North Fork of Catfish Creek in Dubuque with an eye towards understanding,
modeling, and predicting the infiltration and inflow to the sanitary sewer system which creates
unwanted by -pass flows. Additionally, watershed modeling should improve the City's ability to
understand and plan for future challenges to its urban watershed ranging from local land use changes to
impact of global climate changes. It would continue the significant efforts being undertaken by the
community to improve its inflow and infiltration issues.
Already, the National Science Foundation (NSF) Cyber - Enabled Discovery and Innovation Project (CDI-
Type II) at the University of Iowa has yielded results, particularly at its Clear Creek agricultural watershed
(270 km where the Intelligent Digital Watershed (IDW) has created a prototype systematic data
acquisition network providing novel insights into water science (www.iowacdi.net). It is now proposed
to apply similar concepts to an urban watershed with problems of wet weather flows and by -pass in
Dubuque, Iowa — the North Fork of Catfish Creek — as the Sustainable Dubuque Watershed Network
(SDWN). Additionally, specific research will be sought for analysis of infrastructure design and
renovation and low- impact development options for stakeholders such as rain gardens, bioswales,
bioretention areas, green roofs, and other policy options within the watershed.
Simply put, handling watershed issues before they become WPCP issues will be an economic and
environmental benefit to the community. It also begins to develop research data on ground water to
link with the significant Smarter Sustainable Dubuque research on drinking water and water
conservation.
The budget for the project is $85,214. $65,214 will be provided by the University of Iowa and $25,000
will be provided by the City. The City's portion of the funding is already budgeted as part of the base bid
of the Water and Resource Recovery Center originally intended for Smart, Sustainable Dubuque
Research project. This funding will provide data on Plant flow that is currently collected to be connected
with Inflow and Infiltration reduction analytics. The ability to plan for and avoid inflow and infiltration
problems within the urban watersheds of Dubuque will be a significant opportunity.
A central tenet for both partners is that the Network, with its dense, coherent, accessible
multidisciplinary data, will serve as an attractor bringing together a broad range of environmental
scientists, social scientists, and citizens to pose research questions from various viewpoints. The
University of Iowa team will be meeting with leading local College and University faculty to collaborate
on the planning and implementation of the SDWN. It fits well with the Mississippi River setting of the
City of Dubuque and the theme of leadership in water resources that Dubuque and the University of
Iowa desire. It will encourage a social transformation in how interdisciplinary research is conducted,
and it will activate citizen scientists to contribute to their community, encouraging K -16 students, and
fostering research and innovation.
Request
I respectfully request approval to move forward with the planning and implementation of the
Sustainable Dubuque Watershed Network project with the University of Iowa.
Cc: Jonathan Brown; Deron Muering; Paul Schultz; Barry Lindahl; Teri Goodmann
Cindy Steinhauser; Cori Burbach
Research Collaboration
Sustainable Dubuque Watershed Network: A Partnership of
The University of Iowa and the City of Dubuque
March 1, 2011
INTRODUCTION
Spatially - detailed, high frequency sensing of water resources using an embedded
network approach can provide breakthroughs in water science and engineering by
understanding: 1) Nonlinearities —the knowledge base to discern mechanisms and basic
kinetics of nonlinear water processes (Coppus and Imeson, 2002; Nowak et al.,
2006;Ostby, 1999); 2) Scalability —the ability to scale -up complex processes from
observations at a point to the catchment basin (Long and Plummer, 2004; Ridolfi et al.,
2003; Sivapalan, 2003); 3) Prediction and Forecasting —the capacity to predict events,
to model and anticipate outcomes of management actions, and to provide warnings (or
operational control) of adverse water quantity and quality trends or events (American
Society of Civil Engineers, 2004; Christensen et al., 2002; Hall et al., 2007; Scavia et al.,
2003; Shukla et al., 2006; Vandenberghe et al., 2005); and 4) Discovery science —the
discovery of heretofore unknown and unreported processes (Jeong et al., 2006; Loperfido
et al., 2009; 2010, 2010; Messner et al., 2006).
Already, the National Science Foundation (NSF) Cyber- Enabled Discovery and
Innovation Project (CDI -Type II) at the University of Iowa has yielded some results in all
four areas listed above. Figure 1 is a schematic of the instrumentation envisioned in
watersheds of the WATERS Network. Applied to Clear Creek agricultural watershed
(270 km a tributary of the Iowa River in eastern Iowa, the Intelligent Digital Watershed
(IDW) has created a prototype systematic data acquisition network providing novel
insights into water science (www.iowacdi.net). Now, we propose to apply similar
concepts to an urban watershed with problems of wet weather flows and by -pass in
Dubuque, Iowa – the North Fork of Catfish Creek – as the Sustainable Dubuque
Watershed Network (SDWN). Our primary objective for the first two years of seed grant
research is to initiate a watershed network and intelligent digital watershed for the
North Fork of Catfish Creek in Dubuque with an eye towards understanding,
modeling, and predicting the infiltration and inflow to the sanitary sewer system which
creates unwanted by -pass flows.
EXPECTED MILESTONES
Such an initiative will provide valuable information for analysis of infrastructure
design and renovation and low- impact development options for stakeholders such as
raingardens, bioswales, bioretention areas, green roofs, and other policy options within
the watershed. The 2 -year project is a prelude to development of a long -term
collaboration between the University of Iowa and the City of Dubuque on water
sustainability – a more extensive proposal will be generated to sustain the collaboration
using the preliminary data gathered herein. Seed funds from the University of Iowa and
the City of Dubuque will be used for the initial 2 -year project.
Milestones in the 2 -yr project for SDWN will include the following:
1. Development of a digital watershed database for the North Fork of Catfish
Creek (NFCC) system, the Sustainable Dubuque Watershed Network (SDWN).
2. Installation of water quality sensors on the North Fork of Catfish Creek with
near real -time telemetry to the City of Dubuque and the University of Iowa (20 minute
intervals) for discharge, temperature, pH, conductivity, turbidity, dissolved oxygen, and
nitrate.
3. Initial instrumentation of the surficial aquifer (groundwater table) for near real -
time sensor measurements of water elevation, temperature, and conductivity. Soil
moisture measurements of the unsaturated zone will be included.
4. Application of the Storm Water Management Model (SWMM) to examine
water movement as runoff and percolation through the unsaturated zone to the surficial
aquifer, which influences infiltration and inflow to the sanitary sewer system. See
http://www.epa.gov/ednnrmrl/models/swmm/
5. Development of the cyberinfrastructure necessary for data capture at the
Dubuque wastewater treatment plant (flow, concentration, solids, etc.) for relay to the
Smarter Sustainable Dubuque website and the University of Iowa website via the
internet.
Real -time reporting of water quality data compliments the Smarter Sustainable
Dubuque program. Data will be downloaded to the City's website so citizens can
understand water quality and quantity (storm -flows) better in the NFCC. Figure 2
illustrates how the sensor array in NFCC would be configured to relay data to the City of
Dubuque, University of Iowa, and internet communities. The University of Iowa IIHR-
Hydroscience and Engineering institute will gain a new, urban node in their waters
instrumentation network and greater experience with infiltration/inflow (I/I) problems.
Eventually, the network will allow analysis of I/I problems including policy options like
disconnecting storm drains from the sanitary sewer and the likely effectiveness of
infrastructure investment given climate change (more intense storm events) in the future.
The project will commence a long -term research and engineering collaboration between
the City of Dubuque and the University of Iowa on water resources as a part of Smarter
Sustainable Dubuque.
METHODOLOGY AND EXPECTED RESULTS
The University of Iowa project on Clear Creek has previously assembled data sets
from many sources into a coherent and accessible system for water resource data
discovery, delivery, analysis, and modeling. Researchers using the Sustainable Dubuque
Waters Network (SDWN) will be able to quickly access a broad array of data from the
convenience of their office, simply relying on the internet and database and protocols.
The initial SDWN network is the first step in development of an elaborate data system
and services in the future between the two partners. Each node (stream, groundwater,
sewer system, wastewater treatment plant) will participate and provide the high resolution
data for testing water resource models. In tandem with the initial 2 -yr data collection
effort, we will build a Human Information System (HIS2) containing land use, census,
voting, planning, and other socioeconomic data relevant to water processes and
management. The socioeconomic and hydrologic data will be geo- referenced to common
coordinates for use in testing hypotheses concerning socioeconomic factors influencing
water use and discharge as a part of Smarter Sustainable Dubuque.
A central tenet of the Network is that dense, coherent, accessible multidisciplinary
data will serve as an attractor bringing together a broad range of environmental scientists,
social scientists, and citizens to pose research questions from various viewpoints. It fits
well with the Mississippi River setting of the City of Dubuque and the theme of
leadership in water resources that Dubuque and the University of Iowa desire. It will
encourage a social transformation in how we do interdisciplinary research, and it will
activate citizen scientists to contribute to their community, encouraging K -16 students,
and fostering research and innovation.
Legend
(, Mote
Relay
• Stargate
Satellitte Snowpack
\ Sensors
Aircraft
Observing Missions
NEXRAD Meteorology ,
Radar Flow Cell
Agriculture --, Camera Tower
Sensor Array ,
Radar
l _) Velocimetry
_ Water & ADCP
Quality
Sensor j Groundwater
Vertical ,
oil Rain Gage
Moisture Network
Embedded 1
Network
PI
iI
Forest
Sensor
Flock
Figure 1.
Schematic of an instrumented watershed in an observatory of the national WATERS Network. Real -time sensors for
meteorology, rainfall, stream velocity, suspended sediment, water quality, soil moisture, groundwater, and snowpack are
shown with wireless communications equipment necessary for transmitting the data. The Sustainable Dubuque
Watershed Network (SDWN) would be one node in the national network.
With construction of the Sustainable Dubuque Watershed Network we anticipate the
acquisition of relevant preliminary data to write a larger proposal: (1) To build a more
extensive environmental observatory in the capital phase of the project and funding of water -
related research using the SDWN Network during the operational phase; (2) Open- access,
coherent databases of water dynamics correlated to land use and demographic data for
research that have never before been assembled in an urban watershed in an accessible
manner; (3) Real-time, streaming data from the observatories for community modeling,
visualization, and prediction; (4) Experimental and field facilities with sufficient "bandwidth"
for additional sensors, instrumentation, visualization and experimentation with funding from
many sources (federal agencies, state, local, and private support). A data protocol will be
agreed in advance for all participants in SDWN Network. It will include an intellectual
property agreement, privacy protections, researcher rights and responsibilities, user rights and
responsibilities, and the procedures for ensuring QA/QC, assembling metadata, and posting it
on the Internet.
Broader impacts of the SDWN Network will include education and workforce
development through participation of researchers with schools (K -12, undergraduate, and
graduate) and mission agencies in the use and visualization of its databases and data
streams in classrooms, museums, and for decision support. Giving school children and
teachers access to visualizations of local data will motivate learning of basic concepts
students need to give them incentives to continue in the STEM educational pipeline. All
data will be Internet - enabled, accessible, and deposited in digital libraries (Figure 2).
SDWN observatory will have its own outreach program to schools and the Mississippi
River Museum, as the community seeks to increase the numbers and diversity of future
scientists and engineers interested in researching and protecting our nation's waters.
Creating a greater knowledge base and a superior workforce of engineers and scientists is
one goal of the SDWN Network.
Embedded
- Sensor Array
OBSERVATORY
Microwave
Tower
i DIGITAL WATERSHED
HYDRO INFORMATION SYSTEMS
• Relational Database
• Eco-hydrological Simulators
• Quality Control, Calibration,
i Validation
1 • Research Services
• Dissemination
• Digital Library
USERS
Database
Server
Application
Server
SYNTHESIS, MODELING
E. VISUALIZATION
• Observation -model Fusion
• Process Analysis &
Visualization
• Community Models
• Open Access for:
- Investigators
- Partners
- Agencies
- K12, K16, K20
- Communities
• Museums
Figure 2.
Sensor array and environmental cyberinfrastructure used to transmit, process, and share data with the City of Dubuque
and research communities and users. Sensors are embedded in the North Fork of Catfish Creek and are themselves
networked. Data nodes transmit wirelessly to access nodes and to the Internet for open access for modelers and other
users linked to digital watershed containing integrated relational databases for the site.
SUMMARY FUTURE RESEARCH
It is a bold undertaking to apply modern observational sensing technologies,
wireless communications, data assimilation techniques, and high - performance computing
to investigate the physical, chemical and biological processes controlling the quantity and
quality of urban waters. The SDWN Network will provide a foundation for fundamental
and applied research that will contribute to the preservation, protection, and wise use of
natural waters, and to the public understanding of the Water Cycle and their role in it.
Management of storm water is a major challenge for most cities. Dense settlement
greatly reduces pervious surfaces amenable to natural infiltration. Storm water collection
and conveyance systems help to prevent flooding, but they eliminate aquifer recharge,
upset the flow regime and water quality conditions in receiving streams, and introduce
costly storage and treatment requirements. With climate change, growing populations,
and urbanization, these challenges will only increase. The USEPA has recognized the
importance of the issue through increasingly stringent requirements for storm water
planning and management, as well as costly flow separation and storage, in medium -size
and large cities. Unless more efficient methods can be found, these requirements portend
growing infrastructure requirements and costs for cities.
The "low impact development" movement has proposed alternatives to sole
reliance on pipe -and -treat systems (City of Chicago, 2003; Puget Sound Action Team,
2003). Green roofs, cisterns, rain gardens, and bioswales are ancient technologies being
rediscovered and adapted for modern urban applications. Permeable pavements are more
recent technologies. These methods have in common the principal of decentralized
management— retaining storm water on site for infiltration or reuse.
There is much that we do not know about the performance of these "low- impact"
technologies. For example, little is known about their performance under varying soil
conditions, terrain, and lot sizes, how to maintain them and ensure that maintenance is
performed, and how their performance scales from site to basin scale. Better information
on performance is needed to understand how their adoption might influence the sizing of
stormwater pipes, culverts, detention basins, and flood control measures. Furthermore,
we know little about their ancillary effects on the propagation of public health threats
from mosquito -borne viruses (e.g., West Nile virus) (Kay et al., 2000; Rey et al., 2006)
and zoonotic pathogens (e.g., Salmonella, pathogenic E. coli, Leptospira,
Cryptosporidium parvum, and Giardia lamblia) (Nydam et al., 2005). An increase in the
presence of standing water or water sheltered by vegetation as a result of low impact
development or abandonment of stormwater management devices could increase insect
breeding habitat. Green spaces can have very high carrying capacities for such species as
deer, raccoons, rodents and birds.
Although there are notable exceptions, principally suburban detention basins ( U.S.
Green Building Council, 2007), urban planners and policy makers, as well as by
developers and real estate owners, have been slow to accept decentralized stormwater
technologies. An urban hydrologic observatory offers not only the opportunity to study
the hydrologic and public health consequences of these practices, but also their efficacy
after adoption. Information dissemination, trust building, and incentives are essential
elements of the process of new technology diffusion and adoption. A program of
monitored pilot projects within and between observatories, coupled with varied
information campaigns, public policies, and systematic surveys of target populations, will
help to understand these influences. The incentive for this research includes an
understanding of the social networks through which decisions are made, and how best to
introduce new stimuli to cause changes in behavior in the future to protect and conserve
our water resources (Fullerton and Woolverton, 2005; Thurston et al., 2003).
These challenges share the same science requirement: understanding the factors
that influence stores, fluxes, flowpaths, and residence times of water so that estimates of
these properties can be made at sufficiently large scales to be meaningful for resource
management. With this long -term goal and collaboration between the University of Iowa
and the City of Dubuque on the Sustainable Dubuque Watershed Network, we propose to
be a national leader in Water Sustainability and to extend the science of water resource
decision - making.
REFERENCES
American Society of Civil Engineers (2004). "Interim Voluntary Guidelines for
Designing an Online Contaminant Monitoring System." Reston, VA: ASCE. 405
pp.
Christensen, V. G., Rasmussen, P. P., and Ziegler, A. C. (2002). "Real -time water quality
monitoring and regression analysis to estimate nutrient and bacteria
concentrations in Kansas streams." Water Science and Technology, 45(9), 205-
211.
City of Chicago (2003). A Guide to Stormwater Best Management Practices: Chicago's
Water Agenda.
Coppus, R., and Imeson, A. C. (2002). "Extreme events controlling erosion and sediment
transport in a semi -arid sub -Andean valley." Earth Surface Processes and
Landforms, 27(13), 1365 -1375.
Fullerton, D. and. Wolverton, A. (2005). The two -part instrument in a second -best world.
Journal of Public Economics, 89: 1961 -1975.
Hall, J., Zaffiro, A. D., Marx, R. B., Kefauver, P. C., Krishnan, E. R., and Herrmann, J.
G. (2007). "On -line water quality parameters as indicators of distribution system
contamination." Journal American Water Works Association, 99(1), 66 -77.
Jeong, Y., Sanders, B. F., and Grant, S. B. (2006). "The information content of high -
frequency environmental monitoring data signals pollution events in the coastal
ocean." Environmental Science & Technology, 40(20), 6215 -6220.
Kay, B. H., Ryan, P. A., Russell, B. M., Holt, J. S., Lyons, S. A., and. Foley, P. N.
(2000). "The importance of subterranean mosquito habitat to arbovirus vector
control strategies in north Queensland, Australia." Journal of Medical
Entomology, 37(6), 846 -853.
Long, S. C., and Plummer, J. D. (2004). "Assessing land use impacts on water quality
using microbial source tracking." Journal of the American Water Resources
Association, 40(6), 1433 -1448.
Loperfido, J.V., Just, C.L., Papanicolaou, A.N., Schnoor, J.L. (2009). "High- Frequency
Diel Dissolved Oxygen Stream Data Modeled for Variable Temperature and
Scale." Journal of Environmental Engineering-ASCE 135(12): 1250 -1256, DOI:
10.1061 /(asce)ee.1943- 7870.0000102.
Loperfido, J.V., Beyer, P., Just, C.L., Schnoor, J.L. (2010). "Uses and Biases of
Volunteer Water Quality Data." Environmental Science & Technology 44(19):
7193 -7199, DOI: 10.1021 /es100164c.
Loperfido, J.V., Just, C.L., Papanicolaou, A.N., Schnoor, J.L. (2010). "In situ sensing to
understand diel turbidity cycles, suspended solids, and nutrient transport in Clear
Creek, Iowa." Water Resources Research 46, DOI: 10.1029/2009WR008293.
Messner, M., Shaw, S., Regli, S., Rotert, K., Blank, V., and Soller, J. (2006). "An
approach for developing a national estimate of waterborne disease due to drinking
water and a national estimate model application." Journal of Water and Health,
4(Suppl 2), 201 -240.
Nowak, P., Bowen, S., and Cabot, P. (2006). "Disproportionality as a framework for
linking social and biophysical systems." Society and Natural Resources, 19(2),
153 -173.
Nydam, D. V., Lindergard, G., Santucci, F., Schaaf, S. L., Wade, S. E., and Mohammed,
H. O. (2005). "Risk of infection with Cryptosporidium parvum and
Cryptosporidium hominis in dairy cattle in the New York City watershed."
American Journal of Veterinary Research, 66( 3), 413 -417.
Ostby, F. P. (1999). "Improved accuracy in severe storm forecasting by the Severe Local
Storms Unit during the last 25 years: Then versus now." Weather and
Forecasting, 14(4), 526 -543.
Puget Sound Action Team (2003). Natural Approaches to Storm Water Management:
Low Impact Development in Puget Sound. Olympia, WA: State of Washington,
Office of the Governor.
Rey, J. R., O'Meara, G. F., O'Connell, S. A., and Cutwa - Francis, M. M. (2006). "Factors
affecting mosquito production from stormwater drains and catch basins in two
Florida cities." Journal of Vector Ecology, 31(2), 334 -343.
Ridolfi, L., D'Odorico, P., Porporato, A., and Rodriguez - Iturbe, I. (2003). "Stochastic
soil moisture dynamics along a hillslope." Journal of Hydrology, 272(1 -4), 264-
275.
Scavia, D., Rabalais, N. N., Turner, R. E., Justic, D., and Wiseman, W. J. (2003).
"Predicting the response of Gulf of Mexico hypoxia to variations in Mississippi
River nitrogen load." Limnology and Oceanography, 48(3), 951 -956.
Shukla, S., Yu, C. Y., Hardin, J. D., and Jaber, F. H. (2006). "Wireless data acquisition
and control systems for agricultural water management projects." Horttechnology,
16(4), 595 -604.
Sivapalan, M., Takeuchi, K., Franks, S. W., Gupta, V. K., Karambiri, H., Lakshmi, V.,
Liang, X., McDonnell, J. J., Nemdiondo, E. M., O'Connell, P. E., Oki, T.,
Pomeroy, J. W., Schertzer, D., Uhlenbrook, S., and Zehe, E. (2003). "IAHS
Decade on Predictions in Ungauged Basins (PUB), 2003 -2012: Shaping an
exciting future for the hydrological sciences." Hydrological Sciences—Journa -
des Sciences Hydrologiques, 48(6), 857 -880.
Thurston, H. W., Goddard, H. C., Szlag, D., and Lemberg, B. (2003). "Controlling
stormwater runoff with tradable allowances for impervious surfaces." Journal of.
Water Resource Planning and Management, 129(5), 409 -418.
U.S. Green Building Council (2007). Leadership in Energy and Environmental Design,
www.usgbc.org (May 25, 2007).
Vandenberghe, V., Goethals, P. L. M., Van Griensven, A., Meirlaen, J., De Pauw, N.,
Vanrolleghem, P., and Bauwens, W. (2005). "Application of automated
measurement stations for continuous water quality monitoring of the Dender
River in Flanders, Belgium." Environmental Monitoring and Assessment, 108(1-
3), 85 -98.
A. SENIOR PERSONNEL: PI /PD, Co -PI's, Faculty and Other Senior Associates
NSF Funded
7/11 -6/12
7/12 -6/13
List each separately with name and title (A.7 show number in brackets)
Person -mos.
Current rate
CAL.
ACAD.
SUMR
1.
Jerry Schnoo (PI)
216,882
0 1
4,820
2,410
2,410
2
0
0
0
3.
0
0
0
4
0
0
0
5
0
0
0
6.
0
7.
TOTAL SENIOR PERSONNEL
4,820
2,410
2,410
B. OTHER PERSONNEL (SHOW NUMBERS IN BRACKETS)
0
0
0
1.
0
0
0
2.
Graduate Student (1)
half -time
12.0
47,705
23,500
24,205
3.
0
0
0
4.
0
0
0
5.
0
6.
0
0
0
TOTAL SALARIES AND WAGES (A +B)
grad student
PI
52,525
25,910
26,615
C. FRINGE BENEFITS (IF CHARGED AS DIRECT COSTS)
19.2%
29 70%
11,669
12,019
TOTAL SALARIES, WAGES, AND FRINGE BENEFITS (A +B +C)
76,213
37,579
38,634
D. EQUIPMENT (LIST ITEM AND DOLLAR AMOUNT FOR EACH ITEM EXCEEDING $5,000)
0
0
0
TOTAL EQUIPMENT
0
E. TRAVEL
1. DOMESTIC (INCL. CANADA, MEXICO AND U.S. POSSESSIONS)
0
2. FOREIGN
0
F. PARTICIPANT SUPPORT COSTS
Year One
0
1 STIPENDS I
0
0
0
2. TRAVEL 50 person trips to Dubuque
quarterly samoling
5,000
2,500
2,500
3. SUBSISTENCE
0
4. OTHER
0
0
0
0
0
0
0
0
G. OTHER DIRECT COSTS
0
1. MATERIALS AND SUPPLIES
$10 K lab supplies/yr + $5 K planting costs and nutrients
4,000
2,000
2,000
2. PUBLICATION /DOCUMENTATION /DISSEMINATION
0
3. CONSULTANT SERVICES
0
0
0
4. COMPUTER SERVICES
0
0
0
5. SERVICES
0
6. OTHER I
0
0
0
TOTAL OTHER DIRECT COSTS
4,000
2,000
2,000
H. TOTAL DIRECT COSTS
85,213
42,079
43,134
I. INDIRECT COSTS (F &A) (SPECIFY RATE AND BASE)
Base
Rate
Amount
base=
0
0
0
IOn MTDC (modified total direct costs)
0
26 0%
0
0
TOTAL INDIRECT COSTS (F&A) 1
0
0
0
J. TOTAL DIRECT AND INDIRECT COSTS (H +1)
85,213
42,079
43,134
PROPOSAL BUDGET
University of Iowa
Collaborative Research on Water Sustainability with City of Dubuque
PRINCIPAL INVESTIGATOR /PROJECT DIRECTOR
Jerald L Schnoor
Inflator =
Fringe Benef rate =
indirect cost rate =
Tuition waiver
TOTAL
Constant
29.70 %IIFY08 Rate
26.00% N/C
Year 1
Year 2